Quiz

 

Save Time On Research and Writing
Hire a Pro to Write You a 100% Plagiarism-Free Paper.
Get My Paper

Quiz6

Attached Files:

Applying all the code on your selected dataset, complete all codes from Chapter 7 Time-dependent graphs. Make sure you submit to this link two things1. Your report file showing screenshots of all commands from Rstudio GUIMake sure you show all Rstudio GUIs2. Submit your R script code 

Quiz7

Applying all the code on your selected dataset, complete all codes from Chapter 8 Statistical Models. Make sure you submit to this link two things1. Your report file showing screenshots of all commands from Rstudio GUIMake sure you show all Rstudio GUIs2. Submit your R script 

 

Save Time On Research and Writing
Hire a Pro to Write You a 100% Plagiarism-Free Paper.
Get My Paper

Quiz8

Applying all the code on your selected dataset, complete all codes from Chapter 9 Other Graphs. Make sure you submit to this link two things1. Your report file showing screenshots of all commands from Rstudio GUIMake sure you show all Rstudio GUIs2. Submit your R script code 

<

p

>Data Visualization with

R

Rob Kabacof

f

2

018-0

9

-0

3

2

Content

s

  • Welcome
  • 7

  • Preface
  • 9

    How to use this book . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

    Prequisites . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    0

    Setup . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

    10

    1

  • Data Preparation
  • 11

    1.1 Importing data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    1

    1.2 Cleaning data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

    2

  • Introduction to ggplot2
  • 19

    2.1 A worked example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

    2.2 Placing the data and mapping options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

    30

    2.3 Graphs as objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32

    3

  • Univariate Graphs
  • 35

    3.1 Categorical . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

    5

    3.2 Quantitative . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51

    4

  • Bivariate Graphs
  • 63

    4.1 Categorical vs. Categorical . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

    3

    4.2 Quantitative vs. Quantitative . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

    71

    4.3 Categorical vs. Quantitative . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

    79

    5

  • Multivariate Graphs
  • 103

    5.1 Grouping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103

    6

  • Maps
  • 1

    15

    6.1 Dot density maps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

    115

    6.2 Choropleth maps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119

    3

    4 CONTENTS

    7

  • Time-dependent graphs
  • 127

    7.1 Time series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127

    7.2 Dummbbell charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130

    7.3 Slope graphs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133

    7.4 Area Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    35

    8

  • Statistical Models
  • 139

    8.1 Correlation plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139

    8.2 Linear Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141

    8.3 Logistic regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    45

    8.4 Survival plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147

    8.5 Mosaic plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    50

    9

  • Other Graphs
  • 153

    9.1 3-D Scatterplot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153

    9.2 Biplots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159

    9.3 Bubble charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161

    9.4 Flow diagrams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    63

    9.5 Heatmaps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    68

    9.6 Radar charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    7

    4

    9.7 Scatterplot matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    7

    6

    9.8 Waterfall charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    78

    9.9 Word clouds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    80

    10

  • Customizing Graphs
  • 183

    10.1 Axes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183

    10.2 Colors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187

    10.3 Points & Lines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193

    10.4 Legends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195

    10.5 Labels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197

    10.6 Annotations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199

    10.7 Themes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206

    11

  • Saving Graphs
  • 219

    11.1 Via menus . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219

    11.2 Via code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219

    11.3 File formats . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219

    11.4 External editing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221

    CONTENTS 5

    12

  • Interactive Graphs
  • 223

    12.1 leaflet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223

    12.2 plotly . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223

    12.3 rbokeh . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226

    12.4 rCharts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226

    12.5 highcharter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226

    13

  • Advice / Best Practices
  • 231

    13.1 Labeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231

    13.2 Signal to noise ratio . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232

    13.3 Color choice . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234

    13.4 y-Axis scaling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234

    13.5 Attribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238

    13.6 Going further . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238

    13.7 Final Note . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239

    A

  • Datasets
  • 241

    A.1 Academic salaries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241

    A.2 Starwars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241

    A.3 Mammal sleep . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241

    A.4 Marriage records . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242

    A.5 Fuel economy data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242

    A.6 Gapminder data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242

    A.7 Current Population Survey (1985) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242

    A.8 Houston crime data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242

    A.9 US economic timeseries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243

    A.10 Saratoga housing data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243

    A.11 US population by age and year . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243

    A.12 NCCTG lung cancer data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243

    A.13 Titanic data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243

    A.14 JFK Cuban Missle speech . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244

    A.15 UK Energy forecast data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244

    A.16 US Mexican American Population . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244

    B

  • About the Author
  • 245

    C

  • About the QAC
  • 247

    6 CONTENTS

    Welcom

    e

    R is an amazing platform for data analysis, capable of creating almost any type of graph. This book helps
    you create the most popular visualizations – from quick and dirty plots to publication-ready graphs. The
    text relies heavily on the ggplot2 package for graphics, but other approaches are covered as well.

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Interna-
    tional License.

    My goal is make this book as helpful and user-friendly as possible. Any feedback is both welcome an

    d

    appreciated.

    7

    8 CONTENTS

    Prefa

    ce

    How to use this book

    You don’t need to read this book from start to finish in order to start building effective graphs. Feel free to
    jump to the section that you need and then explore others that you find interesting.

    Graphs are organized b

    y

    • the number of variables to be plotted

    • the type of variables to be plotted
    • the purpose of the visualizatio

    n

    Chapter Description
    Ch 1 provides a quick overview of how to get your data into R and how to prepare i

    t

    for analysis.
    Ch 2 provides an overview of the ggplot2 package.
    Ch 3 describes graphs for visualizing the distribution of a single categorical (e.g. race

    )

    or quantitative (e.g. income) variable.
    Ch 4 describes graphs that display the relationship between two variables.
    Ch 5 describes graphs that display the relationships among 3 or more variables. It is

    helpful to read chapters 3 and 4 before this chapter.
    Ch 6 provides a brief introduction to displaying data geographically.
    Ch 7 describes graphs that display change over time.
    Ch 8 describes graphs that can help you interpret the results of statistical models.
    Ch 9 covers graphs that do not fit neatly else

    where

    (every book needs a miscellaneous

    chapter).
    Ch 10 describes how to customize the look and feel of your graphs. If you are going to

    share your graphs with others, be sure to skim this chapter.
    Ch 11 covers how to save your graphs. Different formats are optimized for different

    purposes.
    Ch 12 provides an introduction to interactive graphics.
    Ch 13 gives advice on creating effective graphs and where to go to learn more. It’s

    worth a look.
    The Appendices describe each of the datasets used in this book, and provides a short blurb about

    the author and the Wesleyan Quantitative Analysis Center.

    There is no one right graph for displaying data. Check out the examples, and see which type best fits
    your needs.

    9

    10 CONTENTS

    Prequi

    sites

    It’s assumed that you have some experience with the R language and that you have already installed R and
    RStudio. If not, here are some resources for getting started:

    • A (very) short introduction to R
    • DataCamp – Introduction to R with Jonathon Cornelissen
    • Quick-R
    • Getting up to speed with R

    Setu

    p

    In order to create the graphs in this guide, you’ll need to install some optional R packages. To install all of
    the necessary packages, run the following code in the RStudio console window.

    pkgs <- c("ggplot2", "dplyr", "tidyr", "mosaicData", "carData", "VIM", "scales", "treemapify", "gapminder", "ggmap", "choroplethr", "choroplethrMaps", "CGPfunctions", "ggcorrplot", "visreg", "gcookbook", "forcats", "survival", "survminer", "ggalluvial", "ggridges", "GGally", "superheat", "waterfalls", "factoextra", "networkD3", "ggthemes", "hrbrthemes", "ggpol", "ggbeeswarm")

    install.packages(pkgs)

    Alternatively, you can install a given package the first time it is needed.

    For example, if you execute

    library(gapminder)

    and get the mess

    age

    Error in library(gapminder) : there is no package called ‘gapminder’

    you know that the package has never been installed. Simply execute

    install.packages(“gapminder”)

    once and

    library(gapminder)

    will work from that point on.

    https://cran.r-project.org/

    https://www.rstudio.com/products/RStudio/#Desktop

    https://cran.r-project.org/doc/contrib/Torfs+Brauer-Short-R-Intro.p

    df

    https://www.datacamp.com/courses/free-introduction-to-

    r

    http://www.statmethods.net

    Chapter 1

    Data Preparation

    Before you can visualize your data, you have to get it into R. This involves importing the data from an
    external source and massaging it into a useful format.

    1.1 Importing data

    R can import data from almost any source, including text files, excel spreadsheets, statistical packages, and
    database management systems. We’ll illustrate these techniques using the Salaries dataset, containing the 9
    month academic salaries of college professors at a single institution in 2008-2009.

    1.1.1 Text files

    The readr package provides functions for importing delimited text files into R data frames.

    library(readr)

    # import data from a comma delimited file
    Salaries <- read_csv("salaries.csv")

    # import data from a tab delimited file
    Salaries <- read_tsv("salaries.txt")

    These function assume that the first line of data contains the variable names, values are separated by commas
    or tabs respectively, and that missing data are represented by blanks. For example, the first few lines of the
    comma delimited file looks like this.

    “rank”,”discipline”,”yrs.since.phd”,”yrs.service”,”sex”,”salary”
    “Prof”,”B”,19,18,”Male”,139750
    “Prof”,”B”,20,16,”Male”,173

    200

    “AsstProf”,”B”,4,3,”Male”,79750
    “Prof”,”B”,45,39,”Male”,11

    5000

    “Prof”,”B”,40,41,”Male”,141

    500

    “AssocProf”,”B”,6,6,”Male”,97000

    Options allow you to alter these assumptions. See the documentation for more details.

    11

    https://www.rdocumentation.org/packages/readr/versions/0.1.1/topics/read_deli

    m

    12 CHAPTER 1. DATA PREPARATION

    1.1.2 Excel spreadsheets

    The readxl package can import data from Excel workbooks. Both xls and xlsx formats are supported.

    library(readxl)

    # import data from an Excel workbook
    Salaries <- read_excel("salaries.xlsx", sheet=1)

    Since workbooks can have more than one worksheet, you can specify the one you want with the sheet option.
    The default is sheet=1.

    1.1.3 Statistical packages

    The haven package provides functions for importing data from a variety of statistical packages.

    library(haven)

    # import data from Stata
    Salaries <- read_dta("salaries.dta")

    # import data from SPSS
    Salaries <- read_sav("salaries.sav")

    # import data from SAS
    Salaries <- read_sas("salaries.sas7bdat")

    1.1.4 Data

    bases

    Importing data from a database requires additional steps and is beyond the scope of this book. Depending on
    the database containing the data, the following packages can help: RODBC, RMySQL, ROracle, RPostgreSQL,
    RSQLite, and RMongo. In the newest versions of RStudio, you can use the Connections pane to quickly acce

    ss

    the data stored in database management systems.

    1.2 Cleaning data

    The processes of cleaning your data can be the most time-consuming part of any data analysis. The most
    important steps are considered below. While there are many approaches, those using the dplyr and tidyr
    packages are some of the quickest and easiest to learn.

    Package Function Use
    dplyr select select variables/columns
    dplyr filter select observations/rows
    dplyr mutate transform or recode variables
    dplyr summarize summarize data
    dplyr group_by identify subgroups for further processin

    g

    tidyr gather convert wide format dataset to long format
    tidyr spread convert long format dataset to wide format

    https://db.rstudio.com/rstudio/connections/

    1.2. CLEANING DATA 13

    Examples in this section will use the starwars dataset from the dplyr package. The dataset provides
    descriptions of 87 characters from the Starwars universe on 13 variables. (I actually prefer StarTrek, but we
    work with what we have.)

    1.2.1 Selecting variables

    The select function allows you to limit your dataset to specified variables (columns).

    library(dplyr)

    # keep the variables name, height, and gender
    newdata <- select(starwars, name, height, gender)

    # keep the variables name and all variables
    # between mass and species inclusive
    newdata <- select(starwars, name, mass:species)

    # keep all variables except birth_year and gender
    newdata <- select(starwars, -birth_year, -gender)

    1.2.2 Selecting observations

    The filter function allows you to limit your dataset to observations (rows) meeting a specific criteria.
    Multiple criteria can be combined with the & (AND) and | (OR) symbols.

    library(dplyr)

    # select females
    newdata <- filter(starwars,

    gender == “female”)

    # select females that are from Alderaan
    newdata <- select(starwars,

    gender == “female” &
    homeworld == “Alderaan”)

    # select individuals that are from
    # Alderaan, Coruscant, or Endor
    newdata <- select(starwars,

    homeworld == “Alderaan” |
    homeworld == “Coruscant” |
    homeworld == “Endor”)

    # this can be written more succinctly as
    newdata <- select(starwars,

    homeworld %in% c(“Alderaan”, “Coruscant”, “Endor”))

    1.2.3 Creating/Recoding variables

    The mutate function allows you to create new variables or transform existing ones.

    14 CHAPTER 1. DATA PREPARATION

    library(dplyr)

    # convert height in centimeters to inches,
    # and mass in kilograms to pounds
    newdata <- mutate(starwars,

    height = height * 0.394,
    mass = mass * 2.205)

    The ifelse function (part of base R) can be used for recoding data. The format is ifelse(test, retu

    rn

    if TRUE, return if FALSE).

    library(dplyr)

    # if height is greater than 180
    # then heightcat = “tall”,
    # otherwise heightcat = “short”

    newdata <- mutate(starwars, heightcat = ifelse(height > 180,

    “tall”,
    “short”)

    # convert any eye color that is not
    # black, blue or brown, to other
    newdata <- mutate(starwars,

    eye_color = ifelse(eye_color %in% c(“black”, “blue”, “brown”),
    eye_color,
    “other”)

    # set heights greater than 200 or
    # less than 75 to missing
    newdata <- mutate(starwars,

    height = ifelse(height < 75 | height > 200,
    NA,
    height)

    1.2.4 Summarizing data

    The summarize function can be used to reduce multiple values down to a single value (such as a mean). It
    is often used in conjunction with the by_group function, to calculate statistics by group. In the code below,
    the na.rm=TRUE option is used to drop missing values before calculating the means.

    library(dplyr)

    # calculate mean height and mass
    newdata <- summarize(starwars,

    mean_ht = mean(height, na.rm=TRUE),
    mean_mass = mean(mass, na.rm=TRUE))

    newdata

    ## # A tibble: 1 x 2
    ## mean_ht mean_mass

    1.2. CLEANING DATA 15

    ##
    ## 1 174. 97.3

    # calculate mean height and weight by gender
    newdata <- group_by(starwars, gender) newdata <- summarize(newdata,

    mean_ht = mean(height, na.rm=TRUE),
    mean_wt = mean(mass, na.rm=TRUE))

    newdata

    ## # A tibble: 5 x 3
    ## gender mean_ht mean_

    wt

    ##
    ## 1 female 165. 54.0
    ## 2 hermaphrodite 175. 1358.
    ## 3 male 179. 81.0
    ## 4 none 200. 140.
    ## 5 120. 46.3

    1.2.5 Using pipes

    Packages like dplyr and tidyr allow you to write your code in a compact format using the pipe %>% operator.
    Here is an example.

    library(dplyr)

    # calculate the mean height for women by species
    newdata <- filter(starwars,

    gender == “female”)
    newdata <- group_by(species) newdata <- summarize(newdata,

    mean_ht = mean(height, na.rm = TRUE))

    # this can be written as
    newdata <- starwars %>%
    filter(gender == “female”) %>%
    group_by(species) %>%
    summarize(mean_ht = mean(height, na.rm = TRUE))

    The %>% operator passes the result on the left to the first parameter of the function on the right.

    1.2.6 Reshaping data

    Some graphs require the data to be in wide format, while some graphs require the data to be in long format.

    You can convert a wide dataset to a long dataset using

    library(tidyr)
    long_data <- gather(wide_data,

    key=”variable”,
    value=”value”,
    sex:income)

    16 CHAPTER 1. DATA PREPARATION

    Table 1.2: Wide data

    id name sex age income
    01 Bill Male 22 55000
    02 Bob Male 25 75000
    03 Mary Female 18

    90000

    Table 1.3: Long data

    id name variable value
    01 Bill sex

    Male

    02 Bob sex Male
    03 Mary sex

    Female

    01 Bill age

    22

    02 Bob age

    25

    03 Mary age 18
    01 Bill income 55000
    02 Bob income 75000
    03 Mary income 90000

    Conversely, you can convert a long dataset to a wide dataset using

    library(tidyr)
    wide_data <- spread(long_data, variable, value)

    1.2.7 Missing data

    Real data are likely to contain missing values. There are three basic approaches to dealing with missing
    data: feature selection, listwise deletion, and imputation. Let’s see how each applies to the msleep dataset
    from the ggplot2 package. The msleep dataset describes the sleep habits of mammals and contains missing
    values on several variables.

    1.2.7.1 Feature selection

    In feature selection, you delete variables (columns) that contain too many missing values.

    data(msleep, package=”ggplot2″)

    # what is the proportion of missing data for each variable?
    pctmiss <- colSums(is.na(msleep))/nrow(msleep) round(pctmiss, 2)

    ## name genus vore order conservation
    ## 0.00 0.00 0.08 0.00 0.35
    ## sleep_total sleep_rem sleep_cycle awake brainwt
    ## 0.00 0.27 0.61 0.00 0.33
    ## bodywt
    ##

    0.00

    Sixty-one percent of the sleep_cycle values are missing. You may decide to drop it.

    1.2. CLEANING DATA 17

    1.2.7.2 Listwise deletion

    Listwise deletion involves deleting observations (rows) that contain missing values on any of the variables of
    interest.

    # Create a dataset containing genus, vore, and conservation.
    # Delete any rows containing missing data.
    newdata <- select(msleep, genus, vore, conservation) newdata <- na.omit(newdata)

    1.2.7.3 Imputation

    Imputation involves replacing missing values with “reasonable” guesses about what the values would have
    been if they had not been missing. There are several approaches, as detailed in such packages as VIM, mice,
    Amelia and missForest. Here we will use the kNN function from the VIM package to replace missing values
    with imputed values.

    # Impute missing values using the 5 nearest neighbors
    library(VIM)
    newdata <- kNN(msleep, k=5)

    Basically, for each case with a missing value, the k most similar cases not having a missing value are selected.
    If the missing value is numeric, the mean of those k cases is used as the imputed value. If the missing value
    is categorical, the most frequent value from the k cases is used. The process iterates over cases and variables
    until the results converge (become stable). This is a bit of an oversimplification – see Imputation with R
    Package VIM for the actual details.

    Important caveate: Missing values can bias the results of studies (sometimes severely). If you
    have a significant amount of missing data, it is probably a good idea to consult a statistician or
    data scientist before deleting cases or imputing missing values.

    https://www.jstatsoft.org/article/view/v074i07/v74i07

    https://www.jstatsoft.org/article/view/v074i07/v74i07

    18 CHAPTER 1. DATA PREPARATION

    Chapter 2

    Introduction to ggplot2

    This section provides an brief overview of how the ggplot2 package works. If you are simply seeking code to
    make a specific type of graph, feel free to skip this section. However, the material can help you understand
    how the pieces fit together.

    2.1 A worked example

    The functions in the ggplot2 package build up a graph in layers. We’ll build a a complex graph by starting
    with a simple graph and adding additional elements, one at a time.

    The example uses data from the 1985 Current Population Survey to explore the relationship between wages
    (wage) and experience (expr).

    # load data
    data(CPS85 , package = “mosaicData”)

    In building a ggplot2 graph, only the first two functions described below are required. The other functions
    are optional and can appear in any order.

    2.1.1 ggplot

    The first function in building a graph is the ggplot function. It specifies the

    • data frame containing the data to be plotted

    • the mapping of the variables to visual properties of the graph. The mappings are placed within the
    aes function (where aes stands for aesthetics).

    # specify dataset and mapping

    library(ggplot2)

    ggplot(data = CPS85,

    mapping = aes(x = exper, y = wage))

    Why is the graph empty? We specified that the exper variable should be mapped to the x-axis and that the
    wage should be mapped to the y-axis, but we haven’t yet specified what we wanted placed on the graph.

    19

    https://ggplot2.tidyverse.org/

    20 CHAPTER 2. INTRODUCTION TO GGPLOT2

    0
    10

    20

    30

    40

    0 20 40

    exper

    w
    a

    g
    e

    Figure 2.1: Map variables

    2.1. A WORKED EXAMPLE 21

    2.1.2 geoms

    Geoms are the geometric objects (points, lines, bars, etc.) that can be placed on a graph. They are added
    using functions that start with geom_. In this example, we’ll add points using the geom_point function,
    creating a scatterplot.

    In ggplot2 graphs, functions are chained together using the + sign to build a final plot.

    # add points
    ggplot(data = CPS85,

    mapping =

    aes(x = exper, y = wage)) +

    geom_point()

    0
    10
    20
    30
    40
    0 20 40
    exper
    w
    a
    g
    e

    The graph indicates that there is an outlier. One individual has a wage much higher than the rest. We’ll
    delete this case before continuing.

    # delete outlier
    library(dplyr)
    plotdata <- filter(CPS85, wage < 40)

    # redraw scatterplot
    ggplot(data = plotdata,

    mapping = aes(x = exper, y = wage)) +
    geom_point()

    A number of parameters (options) can be specified in a geom_ function. Options for the geom_point function
    include color, size, and alpha. These control the point color, size, and transparency, respectively. Trans-

    22 CHAPTER 2. INTRODUCTION TO GGPLOT2

    0
    10
    20
    0 20 40
    exper
    w
    a
    g
    e

    Figure 2.2: Remove outlier

    2.1. A WORKED EXAMPLE 23

    0
    10
    20
    0 20 40
    exper
    w
    a
    g
    e

    Figure 2.3: Modify point color, transparency, and size

    parency ranges from 0 (completely transparent) to 1 (completely opaque). Adding a degree of transparen

    cy

    can help visualize overlapping points.

    # make points blue, larger, and semi-transparent
    ggplot(data = plotdata,

    mapping = aes(x = exper, y = wage)) +
    geom_point(color = “cornflowerblue”,

    alpha = .7,
    size = 3)

    Next, let’s add a line of best fit. We can do this with the geom_smooth function. Options control the type of
    line (linear, quadratic, nonparametric), the thickness of the line, the line’s color, and the presence or absence
    of a confidence interval. Here we request a linear regression (method = lm) line (where lm stands for linear
    model).

    # add a line of best fit.
    ggplot(data = plotdata,

    mapping = aes(x = exper, y = wage)) +
    geom_point(color = “cornflowerblue”,

    alpha = .7,
    size = 3) +

    geom_smooth(method = “lm”)

    Wages appears to increase with experience.

    24 CHAPTER 2. INTRODUCTION TO GGPLOT2

    0
    10
    20
    0 20 40
    exper
    w
    a
    g
    e

    Figure 2.4: Add line of best fit

    2.1. A WORKED EXAMPLE 25

    2.1.3 grouping

    In addition to mapping variables to the x and y axes, variables can be mapped to the color, shape, size,
    transparency, and other visual characteristics of geometric objects. This allows groups of observations to be
    superimposed in a single graph.

    Let’s add sex to the plot and represent it by color.

    # indicate sex using color
    ggplot(data = plotdata,

    mapping =

    aes(x = exper,
    y = wage,
    color = sex)) +

    geom_point(alpha = .7,
    size = 3) +

    geom_smooth(method = “lm”,
    se = FALSE,
    size = 1.5)

    0
    10
    20
    0 20 40
    exper
    w
    a
    g
    e

    sex

    F

    M

    The color = sex option is placed in the aes function, because we are mapping a variable to an aesthetic.
    The geom_smooth option (se = FALSE) was added to suppresses the confidence intervals.

    It appears that men tend to make more money than women. Additionally, there may be a stronger relation-
    ship between experience and wages for men than than for women.

    26 CHAPTER 2. INTRODUCTION TO GGPLOT2

    $0

    $5

    $10

    $15

    $20

    $25

    0 10 20 30 40 50

    exper
    w
    a
    g
    e
    sex
    F
    M

    Figure 2.5: Change colors and axis labels

    2.1.4 scales

    Scales control how variables are mapped to the visual characteristics of the plot. Scale functions (which start
    with scale_) allow you to modify this mapping. In the next plot, we’ll change the x and y axis scaling, and
    the colors employed.

    # modify the x and y axes and specify the colors to be used
    ggplot(data = plotdata,

    mapping = aes(x = exper,
    y = wage,
    color = sex)) +
    geom_point(alpha = .7,
    size = 3) +

    geom_smooth(method = “lm”,
    se = FALSE,
    size = 1.5) +

    scale_x_continuous(breaks = seq(0, 60, 10)) +
    scale_y_continuous(breaks = seq(0, 30, 5),

    label = scales::dollar) +
    scale_color_manual(values = c(“indianred3”,

    “cornflowerblue”))

    We’re getting there. The numbers on the x and y axes are better, the y axis uses dollar notation, and the

    2.1. A WORKED EXAMPLE 27

    colors are more attractive (IMHO).
    Here is a question. Is the relationship between experience, wages and sex the same for each job sector? Let’s
    repeat this graph once for each job sector in order to explore this.

    2.1.5 facets

    Facets reproduce a graph for each level a given variable (or combination of variables). Facets are created
    using functions that start with facet_. Here, facets will be defined by the eight levels of the sector variable.

    # reproduce plot for each level of job sector
    ggplot(data = plotdata,

    mapping = aes(x = exper,
    y = wage,
    color = sex)) +

    geom_point(alpha = .7) +
    geom_smooth(method = “lm”,

    se = FALSE) +
    scale_x_continuous(breaks = seq(0, 60, 10)) +
    scale_y_continuous(breaks = seq(0, 30, 5),

    label = scales::dollar) +
    scale_color_manual(values = c(“indianred3”,

    “cornflowerblue”)) +
    facet_wrap(~sector)

    It appears that the differences between mean and women depend on the job sector under consideration.

    2.1.6 labels

    Graphs should be easy to interpret and informative labels are a key element in achieving this goal. The
    labs function provides customized labels for the axes and legends. Additionally, a custom title, subtitle,
    and caption can be added.

    # add informative labels
    ggplot(data = plotdata,

    mapping = aes(x = exper,
    y = wage,
    color = sex)) +
    geom_point(alpha = .7) +
    geom_smooth(method = “lm”,
    se = FALSE) +
    scale_x_continuous(breaks = seq(0, 60, 10)) +
    scale_y_continuous(breaks = seq(0, 30, 5),
    label = scales::dollar) +
    scale_color_manual(values = c(“indianred3”,

    “cornflowerblue”)) +
    facet_wrap(~sector) +
    labs(title = “Relationship between wages and experience”,

    subtitle = “Current Population Survey”,
    caption = “source: http://mosaic-web.org/”,
    x = ” Years of Experience”,

    y = “Hourly Wage”,
    color = “Gender”)

    28 CHAPTER 2. INTRODUCTION TO GGPLOT2

    sales serv

    ice

    manuf other prof

    clerical const manag

    0 10 20 30 40 50 0 10 20 30 40 50

    0 10 20 30 40 50
    $0
    $5
    $10
    $15
    $20
    $25
    $0
    $5
    $10
    $15
    $20
    $25
    $0
    $5
    $10
    $15
    $20
    $25
    exper
    w
    a
    g
    e
    sex
    F
    M

    Figure 2.6: Add job sector, using faceting

    2.1. A WORKED EXAMPLE 29

    sales service
    manuf other prof
    clerical const manag
    0 10 20 30 40 50 0 10 20 30 40 50
    0 10 20 30 40 50

    $0
    $5

    $10
    $15
    $20
    $25

    $0
    $5
    $10
    $15
    $20
    $25
    $0
    $5
    $10
    $15
    $20
    $25

    Years of Experience

    H
    o

    u
    rl

    y
    W

    a
    g

    e

    Gender

    F
    M

    Current Population Survey

    Relationship between wages and experience

    source: http://mosaic−web.org/

    Now a viewer doesn’t need to guess what the labels expr and wage mean, or where the data come from.

    2.1.7 themes

    Finally, we can fine tune the appearance of the graph using themes. Theme functions (which start wi

    t

    h

    theme_) control background colors, fonts, grid-lines, legend placement, and other non-data related features
    of the graph. Let’s use a cleaner theme.

    # use a minimalist theme
    ggplot(data = plotdata,

    mapping = aes(x = exper,
    y = wage,
    color = sex)) +

    geom_point(alpha = .6) +
    geom_smooth(method = “lm”,

    se = FALSE) +
    scale_x_continuous(breaks = seq(0, 60, 10)) +
    scale_y_continuous(breaks = seq(0, 30, 5),
    label = scales::dollar) +
    scale_color_manual(values = c(“indianred3”,
    “cornflowerblue”)) +
    facet_wrap(~sector) +
    labs(title = “Relationship between wages and experience”,
    subtitle = “Current Population Survey”,
    caption = “source: http://mosaic-web.org/”,
    x = ” Years of Experience”,

    30 CHAPTER 2. INTRODUCTION TO GGPLOT2

    sales service
    manuf other prof
    clerical const manag
    0 10 20 30 40 50 0 10 20 30 40 50
    0 10 20 30 40 50
    $0
    $5
    $10
    $15
    $20
    $25
    $0
    $5
    $10
    $15
    $20
    $25
    $0
    $5
    $10
    $15
    $20
    $25
    Years of Experience
    H
    o
    u
    rl
    y
    W
    a
    g
    e
    Gender
    F
    M
    Current Population Survey
    Relationship between wages and experience
    source: http://mosaic−web.org/

    Figure 2.7: Use a simpler theme

    y = “Hourly Wage”,
    color = “Gender”) +

    theme_minimal()

    Now we have something. It appears that men earn more than women in management, manufacturing, sales,
    and the “other” category. They are most similar in clerical, professional, and service positions. The data
    contain no women in the construction sector. For management positions, wages appear to be related to
    experience for men, but not for women (this may be the most interesting finding). This also appears to be
    true for sales.

    Of course, these findings are tentative. They are based on a limited sample size and do not involve statistical
    testing to assess whether differences may be due to chance variation.

    2.2 Placing the data and mapping options

    Plots created with ggplot2 always start with the ggplot function. In the examples above, the data and
    mapping options were placed in this function. In this case they apply to each geom_ function that follows.

    You can also place these options directly within a geom. In that case, they only apply only to that specif

    ic

    geom.

    Consider the following graph.

    2.2. PLACING THE DATA AND MAPPING OPTIONS 31

    0
    10
    20
    0 20 40
    exper
    w
    a
    g
    e
    sex
    F
    M

    Figure 2.8: Color mapping in ggplot function

    # placing color mapping in the ggplot function
    ggplot(plotdata,

    aes(x = exper,
    y = wage,
    color = sex)) +
    geom_point(alpha = .7,
    size = 3) +

    geom_smooth(method = “lm”,
    formula = y ~ poly(x,2),
    se = FALSE,
    size = 1.5)

    Since the mapping of sex to color appears in the ggplot function, it applies to both geom_point and
    geom_smooth. The color of the point indicates the sex, and a separate colored trend line is produced
    for men and women. Compare this to

    # placing color mapping in the geom_point function
    ggplot(plotdata,

    aes(x = exper,
    y = wage)) +

    geom_point(aes(color = sex),
    alpha = .7,
    size = 3) +

    32 CHAPTER 2. INTRODUCTION TO GGPLOT2

    0
    10
    20
    0 20 40
    exper
    w
    a
    g
    e
    sex
    F
    M

    Figure 2.9: Color mapping in ggplot function

    geom_smooth(method = “lm”,
    formula = y ~ poly(x,2),
    se = FALSE,
    size = 1.5)

    Since the sex to color mapping only appears in the geom_point function, it is only used there. A single
    trend line is created for all observations.

    Most of the examples in this book place the data and mapping options in the ggplot function. Additionally,
    the phrases data= and mapping= are omitted since the first option always refers to data and the second
    option always refers to mapping.

    2.3 Graphs as objects

    A ggplot2 graph can be saved as a named R object (like a data frame), manipulated further, and then
    printed or saved to disk.

    # prepare data
    data(CPS85 , package = “mosaicData”)
    plotdata <- CPS85[CPS85$wage < 40,]

    2.3. GRAPHS AS OBJECTS 33

    # create scatterplot and save it
    myplot <- ggplot(data = plotdata,

    aes(x = exper, y = wage)) +
    geom_point()

    # print the graph
    myplot

    # make the points larger and blue
    # then print the graph
    myplot <- myplot + geom_point(size = 3, color = "blue") myplot

    # print the graph with a title and line of best fit
    # but don’t save those changes
    myplot + geom_smooth(method = “lm”) +
    labs(title = “Mildly interesting graph”)

    # print the graph with a black and white theme
    # but don’t save those changes
    myplot +

    theme_bw()

    This can be a real time saver (and help you avoid carpal tunnel syndrome). It is also handy when saving
    graphs programmatically.

    Now it’s time to try out other types of graphs.

    34 CHAPTER 2. INTRODUCTION TO GGPLOT2

    Chapter 3

    Univariate Graphs

    Univariate graphs plot the distribution of data from a single variable. The variable can be categorical (e.g.,
    race, sex) or quantitative (e.g., age, weight).

    3.1 Categorical

    The distribution of a single categorical variable is typically plotted with a bar chart, a pie chart, or (less
    commonly) a tree map.

    3.1.1 Bar chart

    The Marriage dataset contains the marriage records of 98 individuals in Mobile County, Alabama. Below, a
    bar chart is used to display the distribution of wedding participants by race.

    library(ggplot2)
    data(Marriage, package = “mosaicData”)

    # plot the distribution of

    race

    ggplot(Marriage, aes(x = race)) +
    geom_bar()

    The majority of participants are white, followed by black, with very few Hispanics or American Indians.

    You can modify the bar fill and border colors, plot labels, and title by adding options to the geom_bar
    function.

    # plot the distribution of race with modified colors and labels
    ggplot(Marriage, aes(x = race)) +
    geom_bar(fill = “cornflowerblue”,

    color=”black”) +
    labs(x = “Race”,

    y = “Frequency”,
    title = “Participants by race”)

    35

    36 CHAPTER 3. UNIVARIATE GRAPHS

    0
    20
    40

    60

    American Indian Black Hispanic

    White

    race

    c

    o
    u

    n
    t

    Figure 3.1: Simple barchart

    3.1. CATEGORICAL 37

    0
    20
    40
    60
    American Indian Black Hispanic White

    Race

    F
    re

    q
    u

    e
    n

    cy

    Participants by race

    Figure 3.2: Barchart with modified colors, labels, and title

    38 CHAPTER 3. UNIVARIATE GRAPHS

    0%

    20%

    40%

    60%

    American Indian Black Hispanic White
    Race

    P
    e

    rc
    e

    n
    t
    Participants by race

    Figure 3.3: Barchart with percentages

    3.1.1.1 Percents

    Bars can represent percents rather than counts. For bar charts, the code aes(x=race) is actually a short

    cut

    for aes(x = race, y = ..count..), where ..count.. is a special variable representing the frequency
    within each category. You can use this to calculate percentages, by specifying the y variable explicitly.

    # plot the distribution as percentages
    ggplot(Marriage,

    aes(x = race,
    y = ..count.. / sum(..count..))) +

    geom_bar() +
    labs(x = “Race”,

    y = “Percent”,
    title = “Participants by race”)

    +

    scale_y_continuous(labels = scales::percent)

    In the code above, the scales package is used to add % symbols to the y-axis labels.

    3.1.1.2 Sorting categories

    It is often helpful to sort the bars by frequency. In the code below, the frequencies are calculated explicitly.
    Then the reorder function is used to sort the categories by the frequency. The option stat=”identity”
    tells the plotting function not to calculate counts, because they are supplied directly.

    3.1. CATEGORICAL 39

    Table 3.1:

    plotdata

    race n
    American Indian 1
    Black 22
    Hispanic 1
    White

    74

    # calculate number of participants in
    # each race catego

    ry

    library(dplyr)
    plotdata <- Marriage %>%
    count(race)

    The resulting dataset is give below.

    This new dataset is then used to create the graph.

    # plot the bars in ascending order
    ggplot(plotdata,

    aes(x = reorder(race, n),
    y = n)) +

    geom_bar(stat = “identity”) +
    labs(x = “Race”,

    y = “Frequency”,
    title = “Participants by race”)

    The graph bars are sorted in ascending order. Use reorder(race, -n) to sort in descending order.

    3.1.1.3 Labeling bars

    Finally, you may want to label each bar with its numerical value.

    # plot the bars with numeric labels
    ggplot(plotdata,

    aes(x = race,
    y = n)) +

    geom_bar(stat = “identity”) +
    geom_text(aes(label = n),

    vjust=-0.5) +
    labs(x = “Race”,

    y = “Frequency”,
    title = “Participants by race”)

    Here geom_text adds the labels, and vjust controls vertical justification. See Annotations for more details.

    Putting these ideas together, you can create a graph like the one below. The minus sign in reorder(race,
    -pct) is used to order the bars in descending order.

    library(dplyr)
    library(scales)

    40 CHAPTER 3. UNIVARIATE GRAPHS

    0
    20
    40
    60

    American Indian Hispanic Black White

    Race
    F
    re
    q
    u
    e
    n
    cy
    Participants by race

    Figure 3.4: Sorted bar chart

    3.1. CATEGORICAL 41

    1
    22
    1
    74
    0
    20
    40
    60
    American Indian Black Hispanic White
    Race
    F
    re
    q
    u
    e
    n
    cy
    Participants by race

    Figure 3.5: Bar chart with numeric labels

    42 CHAPTER 3. UNIVARIATE GRAPHS

    1%

    22%

    1%

    76%

    0%
    20%
    40%
    60%

    White Black American Indian

    Hispanic

    Race
    P
    e
    rc
    e
    n
    t
    Participants by race

    Figure 3.6: Sorted bar chart with percent labels

    plotdata <- Marriage %>%
    count(race) %>%
    mutate(pct = n / sum(n),

    pctlabel = paste0(round(pct*100), “%”))

    # plot the bars as percentages,
    # in decending order with bar labels
    ggplot(plotdata,

    aes(x = reorder(race, -pct),
    y = pct)) +

    geom_bar(stat = “identity”,
    fill = “indianred3”,
    color = “black”) +

    geom_text(aes(label = pctlabel),
    vjust = -0.25) +

    scale_y_continuous(labels = percent)

    +
    labs(x = “Race”,

    y = “Percent”,
    title = “Participants by race”)

    3.1. CATEGORICAL 43

    0
    10
    20
    30
    40

    BISHOPCATHOLIC PRIESTCHIEF CLERKCIRCUIT JUDGE ELDERMARRIAGE OFFICIALMINISTER PASTOR

    REVERE

    ND

    Officiate

    F
    re
    q
    u
    e
    n

    cy

    Marriages by officiate

    Figure 3.7: Barchart with problematic labels

    3.1.1.4 Overlapping labels

    Category labels may overlap if (1) there are many categories or (2) the labels are long. Consider the
    distribution of marriage officials.

    # basic bar chart with overlapping labels
    ggplot(Marriage, aes(x = officialTitle)) +
    geom_bar() +
    labs(x = “Officiate”,

    y = “Frequency”,
    title = “Marriages by officiate”)

    In this case, you can flip the x and y axes.

    # horizontal bar chart
    ggplot(Marriage, aes(x = officialTitle)) +

    geom_bar() +
    labs(x = “”,

    y = “Frequency”,
    title = “Marriages by officiate”) +

    coord_flip()

    Alternatively, you can rotate the axis labels.

    44 CHAPTER 3. UNIVARIATE GRAPHS

    BISHOP

    CATHOLIC PRIEST

    CHIEF CLERK

    CIRCUIT JUDG

    E

    ELDER

    MARRIAGE OFFICIA

    L

    MINISTER

    PAST

    OR

    REVEREND

    0 10 20 30 40

    Frequency

    Marriages by officiate

    Figure 3.8: Horizontal barchart

    3.1. CATEGORICAL 45

    0
    10
    20
    30
    40

    BI
    SH

    O
    P

    CA

    TH

    O
    LI

    C
    PR

    IE
    ST

    CH
    IE

    F
    CL

    ER
    K

    CI
    RC

    UI
    T

    JU
    DG

    E

    EL

    DE

    R

    M
    AR

    RI
    AG

    E
    O
    FF

    IC
    IA

    L

    M
    IN

    IS
    TE

    R

    PA
    ST

    O
    R

    RE
    VE

    RE
    ND

    F
    re
    q
    u
    e
    n

    cy
    Marriages by officiate

    Figure 3.9: Barchart with rotated labels

    # bar chart with rotated labels
    ggplot(Marriage, aes(x = officialTitle)) +
    geom_bar() +
    labs(x = “”,

    y = “Frequency”,
    title = “Marriages by officiate”) +

    theme(axis.text.x = element_text(angle = 45,
    hjust = 1))

    Finally, you can try staggering the labels. The trick is to add a newline \n to every other label.

    # bar chart with staggered labels
    lbls <- paste0(c("", "\n"),

    levels(Marriage$officialTitle))
    ggplot(Marriage,

    aes(x=factor(officialTitle,
    labels = lbls))) +

    geom_bar() +
    labs(x = “”,
    y = “Frequency”,
    title = “Marriages by officiate”)

    46 CHAPTER 3. UNIVARIATE GRAPHS

    0
    10
    20
    30
    40

    BISHOP
    CATHOLIC PRIEST

    CHIEF CLERK

    CIRCUIT JUDGE

    ELDER

    MARRIAGE OFFICIAL

    MINISTER
    PASTOR

    REVEREND
    F
    re
    q
    u
    e
    n
    cy
    Marriages by officiate

    ### Pie chart

    Pie charts are controversial in statistics. If your goal is to compare the frequency of categories, you are better
    off with bar charts (humans are better at judging the length of bars than the volume of pie slices). If your
    goal is compare each category with the the whole (e.g., what portion of participants are Hispanic compared
    to all participants), and the number of categories is small, then pie charts may work for you. It takes a bit
    more code to make an attractive pie chart in R.

    # create a basic ggplot2 pie chart
    plotdata <- Marriage %>%

    count(race) %>%
    arrange(desc(race)) %>%
    mutate(prop = round(n * 100 / sum(n), 1),

    lab.ypos = cumsum(prop) – 0.5 *prop)

    ggplot(plotdata,
    aes(x = “”,

    y = prop,
    fill = race)) +

    geom_bar(width = 1,
    stat = “identity”,
    color = “black”) +

    coord_polar(“y”,
    start = 0,
    direction = -1) +

    theme_void()

    3.1. CATEGORICAL 47

    race

    American Indian

    Black

    Hispanic
    White

    Figure 3.10: Basic pie chart

    48 CHAPTER 3. UNIVARIATE GRAPHS

    Now let’s get fancy and add labels, while removing the legend.

    # create a pie chart with slice labels
    plotdata <- Marriage %>%
    count(race) %>%
    arrange(desc(race)) %>%
    mutate(prop = round(n*100/sum(n), 1),

    lab.ypos = cumsum(prop) – 0.5*prop)

    plotdata$label <- paste0(plotdata$race, "\n", round(plotdata$prop), "%")

    ggplot(plotdata,
    aes(x = “”,
    y = prop,
    fill = race)) +
    geom_bar(width = 1,
    stat = “identity”,
    color = “black”) +

    geom_text(aes(y = lab.ypos, label = label),
    color = “black”) +

    coord_polar(“y”,
    start = 0,
    direction = -1) +

    theme_void() +
    theme(legend.position = “FALSE”) +
    labs(title = “Participants by race”)

    The pie chart makes it easy to compare each slice with the whole. For example, Back is seen to roughly a
    quarter of the total participants.

    3.1.2 Tree map

    An alternative to a pie chart is a tree map. Unlike pie charts, it can handle categorical variables that have
    many levels.

    library(treemapify)

    # create a treemap of marriage officials
    plotdata <- Marriage %>%
    count(officialTitle)

    ggplot(plotdata,
    aes(fill = officialTitle,

    area = n)) +
    geom_treemap() +
    labs(title = “Marriages by officiate”)

    Here is a more useful version with labels.

    # create a treemap with tile labels
    ggplot(plotdata,

    3.1. CATEGORICAL 49

    White
    76%

    Hispanic
    1%

    Black
    22%
    American Indian
    1%
    Participants by race

    Figure 3.11: Pie chart with percent labels

    50 CHAPTER 3. UNIVARIATE GRAPHS

    officialTitle

    BISHOP
    CATHOLIC PRIEST
    CHIEF CLERK
    CIRCUIT JUDGE
    ELDER
    MARRIAGE OFFICIAL
    MINISTER
    PASTOR
    REVEREND
    Marriages by officiate

    Figure 3.12: Basic treemap

    3.2. QUANTITATIVE 51

    MARRIAGE OFFICIAL PASTOR

    MINISTER
    BISHOP CATHOLIC PRIEST CHIEF CLERK

    CIRCUIT JUDGE ELDER REVEREND

    Marriages by officiate

    Figure 3.13: Treemap with labels

    aes(fill = officialTitle,
    area = n,
    label = officialTitle)) +

    geom_treemap() +
    geom_treemap_text(colour = “white”,

    place = “centre”) +
    labs(title = “Marriages by officiate”) +
    theme(legend.position = “none”)

    3.2 Quantitative

    The distribution of a single quantitative variable is typically plotted with a histogram, kernel density plot,
    or dot plot.

    3.2.1 Histogr

    am

    Using the Marriage dataset, let’s plot the ages of the wedding participants.

    52 CHAPTER 3. UNIVARIATE GRAPHS

    0.0

    2.5

    5.0

    7.5

    10.0

    12.5

    20 40 60

    Age

    co
    u

    n
    t

    Participants by age

    Figure 3.14: Basic histogram

    library(ggplot2)

    # plot the age distribution using a histogram
    ggplot(Marriage, aes(x = age)) +
    geom_histogram() +
    labs(title = “Participants by age”,

    x = “Age”)

    Most participants appear to be in their early 20’s with another group in their 40’s, and a much smaller group
    in their later sixties and early seventies. This would be a multimodal distribution.

    Histogram colors can be modified using two options

    • fill – fill color for the bars
    • color – border color around the bars

    # plot the histogram with blue bars and white borders
    ggplot(Marriage, aes(x = age)) +
    geom_histogram(fill = “cornflowerblue”,

    color = “white”) +

    labs(title=”Participants by age”,

    x = “Age”)

    3.2. QUANTITATIVE 53

    0.0
    2.5
    5.0
    7.5
    10.0
    12.5
    20 40 60
    Age
    co
    u
    n
    t
    Participants by age

    Figure 3.15: Histogram with specified fill and border colors

    54 CHAPTER 3. UNIVARIATE GRAPHS

    0
    5
    10
    20 40 60
    Age
    co
    u
    n
    t

    number of bins = 20

    Participants by age

    Figure 3.16: Histogram with a specified number of bins

    3.2.1.1 Bins and bandwidths

    One of the most important histogram options is bins, which controls the number of bins into which the
    numeric variable is divided (i.e., the number of bars in the plot). The default is 30, but it is helpful to try
    smaller and larger numbers to get a better impression of the shape of the distribution.

    # plot the histogram with 20 bins
    ggplot(Marriage, aes(x = age)) +
    geom_histogram(fill = “cornflowerblue”,

    color = “white”,
    bins = 20) +

    labs(title=”Participants by age”,
    subtitle = “number of bins = 20”,
    x = “Age”)

    Alternatively, you can specify the binwidth, the width of the bins represented by the bars.

    # plot the histogram with a binwidth of 5
    ggplot(Marriage, aes(x = age)) +
    geom_histogram(fill = “cornflowerblue”,

    color = “white”,
    binwidth = 5) +

    labs(title=”Participants by age”,

    3.2. QUANTITATIVE 55

    0
    5
    10
    15
    20

    20 40 60 80

    Age
    co
    u
    n
    t

    binwidth = 5 years

    Participants by age

    Figure 3.17: Histogram with specified a bin width

    subtitle = “binwidth = 5 years”,
    x = “Age”)

    As with bar charts, the y-axis can represent counts or percent of the total.

    # plot the histogram with percentages on the y-axis
    library(scales)
    ggplot(Marriage,

    aes(x = age,
    y= ..count.. / sum(..count..))) +

    geom_histogram(fill = “cornflowerblue”,
    color = “white”,
    binwidth = 5) +

    labs(title=”Participants by age”,
    y = “Percent”,
    x = “Age”) +

    scale_y_continuous(labels = percent)

    56 CHAPTER 3. UNIVARIATE GRAPHS

    0%

    5%

    10%

    15%

    20%
    20 40 60 80
    Age
    P
    e
    rc
    e
    n
    t
    Participants by age

    ### Kernel Density plot {#Kernel

    }

    An alternative to a histogram is the kernel density plot. Technically, kernel density estimation is a nonpara-
    metric method for estimating the probability density function of a continuous random variable. (What??)
    Basically, we are trying to draw a smoothed histogram, where the area under the curve equals one.

    # Create a kernel density plot of age
    ggplot(Marriage, aes(x = age)) +
    geom_density() +
    labs(title = “Participants by age”)

    The graph shows the distribution of scores. For example, the proportion of cases between 20 and 40 years
    old would be represented by the area under the curve between 20 and 40 on the x-axis.

    As with previous charts, we can use fill and color to specify the fill and border colors.

    # Create a kernel density plot of age
    ggplot(Marriage, aes(x = age)) +
    geom_density(fill = “indianred3”) +
    labs(title = “Participants by age”)

    3.2.1.2 Smoothing parameter

    The degree of smoothness is controlled by the bandwidth parameter bw. To find the default value for a
    particular variable, use the bw.nrd0 function. Values that are larger will result in more smoothing, while
    values that are smaller will produce less smoothing.

    3.2. QUANTITATIVE 57

    0.00

    0.01

    0.02

    0.03

    20 40 60
    age

    d
    e

    n
    si

    ty

    Participants by age

    Figure 3.18: Basic kernel density plot

    58 CHAPTER 3. UNIVARIATE GRAPHS

    0.00
    0.01
    0.02
    0.03
    20 40 60
    age
    d
    e
    n
    si
    ty
    Participants by age

    Figure 3.19: Kernel density plot with fill

    3.2. QUANTITATIVE 59

    0.00
    0.02

    0.04

    0.06

    20 40 60
    age
    d
    e
    n
    si
    ty

    bandwidth = 1

    Participants by age

    Figure 3.20: Kernel density plot with a specified bandwidth

    # default bandwidth for the age variable
    bw.nrd0(Marriage$age)

    ## [1] 5.181946

    # Create a kernel density plot of age
    ggplot(Marriage, aes(x = age)) +
    geom_density(fill = “deepskyblue”,

    bw = 1) +
    labs(title = “Participants by age”,

    subtitle = “bandwidth = 1”)

    In this example, the default bandwidth for age is 5.18. Choosing a value of 1 resulted in less smoothing and
    more detail.
    Kernel density plots allow you to easily see which scores are most frequent and which are relatively rare.
    However it can be difficult to explain the meaning of the y-axis to a non-statistician. (But it will make you
    look really smart at parties!)

    3.2.2 Dot Chart

    Another alternative to the histogram is the dot chart. Again, the quantitative variable is divided into bins,
    but rather than summary bars, each observation is represented by a dot. By default, the width of a dot

    60 CHAPTER 3. UNIVARIATE GRAPHS

    0.00

    0.25

    0.50

    0.

    75

    1.00

    20 40 60
    Age

    P
    ro

    p
    o

    rt
    io

    n
    Participants by age

    Figure 3.21: Basic dotplot

    corresponds to the bin width, and dots are stacked, with each dot representing one observation. This works
    best when the number of observations is small (say, less than 150).

    # plot the age distribution using a dotplot
    ggplot(Marriage, aes(x = age)) +
    geom_dotplot() +
    labs(title = “Participants by age”,

    y = “Proportion”,
    x = “Age”)

    The fill and color options can be used to specify the fill and border color of each dot respectively.

    # Plot ages as a dot plot using
    # gold dots with black borders
    ggplot(Marriage, aes(x = age)) +
    geom_dotplot(fill = “gold”,

    color = “black”) +
    labs(title = “Participants by age”,

    y = “Proportion”,
    x = “Age”)

    There are many more options available. See the help for details and examples.

    http://ggplot2.tidyverse.org/reference/geom_dotplot.html

    3.2. QUANTITATIVE 61

    0.00
    0.25
    0.50

    0.75

    1.00
    20 40 60
    Age
    P
    ro
    p
    o
    rt
    io
    n
    Participants by age

    Figure 3.22: Dotplot with a specified color scheme

    62 CHAPTER 3. UNIVARIATE GRAPHS

    Chapter 4

    Bivariate Graphs

    Bivariate graphs display the relationship between two variables. The type of graph will depend on the
    measurement level of the variables (categorical or quantitative).

    4.1 Categorical vs. Categorical

    When plotting the relationship between two categorical variables, stacked, grouped, or segmented bar charts
    are typically used. A less common approach is the mosaic chart.

    4.1.1 Stacked bar chart

    Let’s plot the relationship between automobile class and drive type (front-wheel, rear-wheel, or 4-wheel
    drive) for the automobiles in the Fuel economy dataset.

    library(ggplot2)

    # stacked bar chart
    ggplot(mpg,

    aes(x = class,
    fill = drv)) +

    geom_bar(position = “stack”)

    63

    64 CHAPTER 4. BIVARIATE GRAPHS

    0
    20
    40
    60

    2seater compact midsize minivan pickup subcompact

    suv

    class

    co
    u
    n
    t

    drv

    4
    f
    r

    From the chart, we can see for example, that the most common vehicle is the SUV. All 2seater cars are rear
    wheel drive, while most, but not all SUVs are 4-wheel drive.

    Stacked is the default, so the last line could have also been written as geom_bar().

    4.1.2 Grouped bar chart

    Grouped bar charts place bars for the second categorical variable side-by-side. To create a grouped bar plot
    use the position = “dodge” option.

    library(ggplot2)

    # grouped bar plot
    ggplot(mpg,

    aes(x = class,
    fill = drv)) +

    geom_bar(position = “dodge”)

    4.1. CATEGORICAL VS. CATEGORICAL 65

    0
    10
    20
    30
    40
    50

    2seater compact midsize minivan pickup subcompact suv

    class
    co
    u
    n
    t
    drv
    4
    f
    r

    Notice that all Minivans are front-wheel drive. By default, zero count bars are dropped and the remaining
    bars are made wider. This may not be the behavior you want. You can modify this using the position =
    position_dodge(preserve = “single”)” option.

    library(ggplot2)

    # grouped bar plot preserving zero count bars
    ggplot(mpg,

    aes(x = class,
    fill = drv)) +

    geom_bar(position = position_dodge(preserve = “single”))

    66 CHAPTER 4. BIVARIATE GRAPHS

    0
    10
    20
    30
    40
    50
    2seater compact midsize minivan pickup subcompact suv
    class
    co
    u
    n
    t
    drv
    4
    f
    r

    Note that this option is only available in the latest development version of ggplot2, but should should be
    generally available shortly.

    4.1.3 Segmented bar chart

    A segmented bar plot is a stacked bar plot where each bar represents 100 percent. You can create a segmented
    bar chart using the position = “filled” option.

    library(ggplot2)

    # bar plot, with each bar representing

    100%

    ggplot(mpg,

    aes(x = class,
    fill = drv)) +

    geom_bar(position = “fill”) +
    labs(y = “Proportion”)

    This type of plot is particularly useful if the goal is to compare the percentage of a category in one variable
    across each level of another variable. For example, the proportion of front-wheel drive cars go up as you
    move from compact, to midsize, to minivan.

    4.1.4 Improving the color and labeling

    You can use additional options to improve color and labeling. In the graph below

    4.1. CATEGORICAL VS. CATEGORICAL

    67

    0.00
    0.25
    0.50
    0.75
    1.00
    2seater compact midsize minivan pickup subcompact suv
    class
    P
    ro
    p
    o
    rt
    io

    n drv

    4
    f
    r

    Figure 4.1: Segmented bar chart

    68 CHAPTER 4. BIVARIATE GRAPHS

    • factor modifies the order of the categories for the class variable and both the order and the labels for
    the drive variable

    • scale_y_continuous modifies the y-axis tick mark labels

    • labs provides a title and changed the labels for the x and y axes and the legend
    • scale_fill_brewer changes the fill color scheme

    • theme_minimal removes the grey background and changed the grid color

    library(ggplot2)

    # bar plot, with each bar representing 100%,
    # reordered bars, and better labels and colors
    library(scales)
    ggplot(mpg,

    aes(x = factor(class,
    levels = c(“2seater”, “subcompact”,

    “compact”, “midsize”,
    “minivan”, “suv”, “pickup”)),

    fill = factor(drv,

    levels = c(“f”, “r”, “4”),
    labels = c(“front-wheel”,

    “rear-wheel”,
    “4-wheel”)))) +

    geom_bar(position = “fill”) +
    scale_y_continuous(breaks = seq(0, 1, .2),

    label = percent) +

    scale_fill_brewer(palette = “Set2”) +
    labs(y = “Percent”,

    fill = “Drive Train”,
    x = “Class”,
    title = “Automobile Drive by Class”) +

    theme_minimal()

    4.1. CATEGORICAL VS. CATEGORICAL

    69

    0%
    20%
    40%
    60%

    80%

    100%

    2seater subcompact compact midsize minivan suv

    pickup

    Class

    P
    e
    rc
    e
    n
    t

    Drive Train

    front−wheel

    rear−wheel

    4−wheel

    Automobile Drive by Class

    In the graph above, the factor function was used to reorder and/or rename the levels of a categorical
    variable. You could also apply this to the original dataset, making these changes permanent. It would then
    apply to all future graphs using that dataset. For example:

    # change the order the levels for the categorical variable “class”
    mpg$class = factor(mpg$class,

    levels = c(“2seater”, “subcompact”,
    “compact”, “midsize”,
    “minivan”, “suv”, “pickup”)

    I placed the factor function within the ggplot function to demonstrate that, if desired, you can change the
    order of the categories and labels for the categories for a single graph.
    The other functions are discussed more fully in the section on Customizing graphs.
    Next, let’s add percent labels to each segment. First, we’ll create a summary dataset that has the

    necessary

    labels.

    # create a summary dataset
    library(dplyr)
    plotdata <- mpg %>%
    group_by(class, drv) %>%
    summarize(n = n()) %>%
    mutate(pct = n/sum(n),

    lbl = scales::percent(pct))
    plotdata

    ## # A tibble: 12 x 5

    70 CHAPTER 4. BIVARIATE GRAPHS

    ## # Groups: class [7]
    ## class drv n pct lbl
    ##
    ## 1 2seater r 5 1.00 100%
    ## 2 compact 4 12 0.255

    25.5%

    ## 3 compact f 35 0.745

    74.5%

    ## 4 midsize 4 3 0.0732

    7.3%

    ## 5 midsize f 38 0.927 92.7%
    ## 6 minivan f 11 1.00 100%
    ## 7 pickup 4 33 1.00 100%
    ## 8 subcompact 4 4 0.114

    11.4%

    ## 9 subcompact f 22 0.629

    62.9%

    ## 10 subcompact r 9 0.257

    25.7%

    ## 11 suv 4 51 0.823

    82.3%

    ## 12 suv r 11 0.177

    17.7%

    Next, we’ll use this dataset and the geom_text function to add labels to each bar segment.

    # create segmented bar chart
    # adding labels to each segment

    ggplot(plotdata,
    aes(x = factor(class,

    levels = c(“2seater”, “subcompact”,
    “compact”, “midsize”,
    “minivan”, “suv”, “pickup”)),

    y = pct,
    fill = factor(drv,

    levels = c(“f”, “r”, “4”),
    labels = c(“front-wheel”,
    “rear-wheel”,
    “4-wheel”)))) +

    geom_bar(stat = “identity”,
    position = “fill”) +

    scale_y_continuous(breaks = seq(0, 1, .2),
    label = percent) +

    geom_text(aes(label = lbl),
    size = 3,
    position = position_stack(vjust = 0.5)) +

    scale_fill_brewer(palette = “Set2”) +
    labs(y = “Percent”,
    fill = “Drive Train”,
    x = “Class”,
    title = “Automobile Drive by Class”) +
    theme_minimal()

    4.2. QUANTITATIVE VS. QUANTITATIVE 71

    100%
    11.4%
    25.7%
    62.9%
    25.5%
    74.5%
    7.3%

    92.7%
    100%

    82.3%
    17.7%
    100%
    0%
    20%
    40%
    60%
    80%
    100%
    2seater subcompact compact midsize minivan suv pickup
    Class
    P
    e
    rc
    e
    n
    t
    Drive Train
    front−wheel
    rear−wheel
    4−wheel
    Automobile Drive by Class

    Now we have a graph that is easy to read and interpret.

    4.1.5 Other plots

    Mosaic plots provide an alternative to stacked bar charts for displaying the relationship between categorical
    variables. They can also provide more sophisticated statistical information.

    4.2 Quantitative vs. Quantitative

    The relationship between two quantitative variables is typically displayed using scatterplots and line graphs.

    4.2.1 Scatterplot

    The simplest display of two quantitative variables is a scatterplot, with each variable represented on an axis.
    For example, using the Salaries dataset, we can plot experience (yrs.since.phd) vs. academic salary (salary)
    for college professors.

    library(ggplot2)

    data(Salaries, package=”carData”)

    # simple scatterplot
    ggplot(Salaries,

    aes(x = yrs.since.phd,

    72 CHAPTER 4. BIVARIATE GRAPHS

    50000

    100000

    150000

    200000

    0 20 40

    yrs.since.phd

    sa
    la

    ry

    Figure 4.2: Simple scatterplot

    y = salary)) +
    geom_point()

    geom_point options can be used to change the

    • color – point color
    • size – point size
    • shape – point shape
    • alpha – point transparency. Transparency ranges from 0 (transparent) to 1 (opaque), and is a useful

    parameter when points overlap.

    The functions scale_x_continuous and scale_y_continuous control the scaling on x and y axes respec-
    tively.

    See Customizing graphs for details.

    We can use these options and functions to create a more attractive scatterplot.

    # enhanced scatter plot
    ggplot(Salaries,

    aes(x = yrs.since.phd,
    y = salary)) +

    geom_point(color=”cornflowerblue”,

    4.2. QUANTITATIVE VS. QUANTITATIVE

    73

    $50,000

    $100,000

    $150,000

    $200,000

    $250,000

    0 10

    20 30 40 50 60

    Years Since PhD

    9−month salary for 2008−2009

    Experience vs. Salary

    Figure 4.3: Scatterplot with color, transparency, and axis scaling

    size = 2,
    alpha=.8) +

    scale_y_continuous(label = scales::dollar,
    limits = c(50000, 250000)) +

    scale_x_continuous(breaks = seq(0, 60, 10),
    limits=c(0, 60)) +

    labs(x = “Years Since PhD”,
    y = “”,
    title = “Experience vs. Salary”,
    subtitle = “9-month salary for 2008-2009”)

    4.2.1.1 Adding best fit lines

    It is often useful to summarize the relationship displayed in the scatterplot, using a best fit line. Many types
    of lines are supported, including linear, polynomial, and nonparametric (loess). By default, 95% confidence
    limits for these lines are displayed.

    # scatterplot with linear fit line
    ggplot(Salaries,

    aes(x = yrs.since.phd,
    y = salary)) +

    74 CHAPTER 4. BIVARIATE GRAPHS

    geom_point(color= “steelblue”) +
    geom_smooth(method = “lm”)

    50000
    100000
    150000
    200000
    0 20 40
    yrs.since.phd
    sa
    la
    ry

    Clearly, salary increases with experience. However, there seems to be a dip at the right end – professors
    with significant experience, earning lower salaries. A straight line does not capture this non-linear effect. A
    line with a bend will fit better here.

    A polynomial regression line provides a fit line of the form

    ŷ = β0 + β1x + β2×2 + β3×3 + β4×4 + . . .

    Typically either a quadratic (one bend), or cubic (two bends) line is used. It is rarely necessary to use a
    higher order( >3 ) polynomials. Applying a quadratic fit to the salary dataset produces the following result.

    # scatterplot with quadratic line of best fit
    ggplot(Salaries,

    aes(x = yrs.since.phd,
    y = salary)) +

    geom_point(color= “steelblue”) +
    geom_smooth(method = “lm”,

    formula = y ~ poly(x, 2),
    color = “indianred3”)

    Finally, a smoothed nonparametric fit line can often provide a good picture of the relationship. The default
    in ggplot2 is a loess line which stands for for locally weighted scatterplot smoothing.

    https://www.ime.unicamp.br/~dias/loess

    4.2. QUANTITATIVE VS. QUANTITATIVE 75

    50000
    100000
    150000
    200000
    0 20 40
    yrs.since.phd
    sa
    la
    ry

    Figure 4.4: Scatterplot with quadratic fit line

    76 CHAPTER 4. BIVARIATE GRAPHS

    50000
    100000
    150000
    200000
    0 20 40
    yrs.since.phd
    sa
    la
    ry

    Figure 4.5: Scatterplot with nonparametric fit line

    # scatterplot with loess smoothed line
    ggplot(Salaries,

    aes(x = yrs.since.phd,
    y = salary)) +

    geom_point(color= “steelblue”) +
    geom_smooth(color = “tomato”)

    You can suppress the confidence bands by including the option se = FALSE.

    Here is a complete (and more attractive) plot.

    # scatterplot with loess smoothed line
    # and better labeling and color
    ggplot(Salaries,

    aes(x = yrs.since.phd,
    y = salary)) +

    geom_point(color=”cornflowerblue”,
    size = 2,
    alpha = .6) +

    geom_smooth(size = 1.5,
    color = “darkgrey”) +

    scale_y_continuous(label = scales::dollar,
    limits = c(50000, 250000)) +

    4.2. QUANTITATIVE VS. QUANTITATIVE

    77

    $50,000
    $100,000
    $150,000
    $200,000
    $250,000
    0 10 20 30 40 50 60
    Years Since PhD
    9−month salary for 2008−2009
    Experience vs. Salary

    Figure 4.6: Scatterplot with nonparametric fit line

    scale_x_continuous(breaks = seq(0, 60, 10),
    limits = c(0, 60)) +

    labs(x = “Years Since PhD”,
    y = “”,
    title = “Experience vs. Salary”,
    subtitle = “9-month salary for 2008-2009”) +

    theme_minimal()

    4.2.2 Line plot

    When one of the two variables represents time, a line plot can be an effective method of displaying rela-
    tionship. For example, the code below displays the relationship between time (year) and life expectancy
    (lifeExp) in the United States between 1952 and 2007. The data comes from the gapminder dataset.

    data(gapminder, package=”gapminder”)

    # Select US cases
    library(dplyr)
    plotdata <- filter(gapminder,

    country == “United States”)

    78 CHAPTER 4. BIVARIATE GRAPHS

    # simple line plot
    ggplot(plotdata,

    aes(x = year,
    y = lifeExp)) +

    geom_line()

    68

    70

    72

    74
    76
    78

    1950 1960 1970 1980 1990

    2000

    year

    lif
    e

    E
    xp

    It is hard to read individual values in the graph above. In the next plot, we’ll add points as well.

    # line plot with points
    # and improved labeling
    ggplot(plotdata,

    aes(x = year,
    y = lifeExp)) +

    geom_line(size = 1.5,
    color = “lightgrey”) +

    geom_point(size = 3,
    color = “steelblue”) +

    labs(y = “Life Expectancy (years)”,
    x = “Year”,
    title = “Life expectancy changes over time”,
    subtitle = “United States (1952-2007)”,
    caption = “Source: http://www.gapminder.org/data/”)

    4.3. CATEGORICAL VS. QUANTITATIVE 79

    68
    70
    72
    74
    76
    78
    1950 1960 1970 1980 1990 2000

    Year

    L
    ife

    E
    xp

    e
    ct

    a
    n

    cy
    (

    ye
    a

    rs
    )

    United States (1952−2007)

    Life expectancy changes over time

    Source: http://www.gapminder.org/data/

    Time dependent data is covered in more detail under Time series. Customizing line graphs is covered in the
    Customizing graphs section.

    4.3 Categorical vs. Quantitative

    When plotting the relationship between a categorical variable and a quantitative variable, a large number of
    graph types are available. These include bar charts using summary statistics, grouped kernel density plots,
    side-by-side box plots, side-by-side violin plots, mean/sem plots, ridgeline plots, and Cleveland plots.

    4.3.1 Bar chart (on summary statistics)

    In previous sections, bar charts were used to display the number of cases by category for a single variable or
    for two variables. You can also use bar charts to display other summary statistics (e.g., means or medians)
    on a quantitative variable for each level of a categorical variable.
    For example, the following graph displays the mean salary for a sample of university professors by their
    academic rank.

    data(Salaries, package=”carData”)

    # calculate mean salary for each

    rank

    library(dplyr)
    plotdata <- Salaries %>%
    group_by(rank) %>%
    summarize(mean_salary = mean(salary))

    80 CHAPTER 4. BIVARIATE GRAPHS

    0e+00

    5e+04

    1e+05

    AsstProf AssocProf

    Prof

    rank

    m
    e

    a
    n

    _
    sa

    la
    ry

    Figure 4.7: Bar chart displaying means

    # plot mean salaries
    ggplot(plotdata,

    aes(x = rank,
    y = mean_salary)) +

    geom_bar(stat = “identity”)

    We can make it more attractive with some options.

    # plot mean salaries in a more attractive fashion
    library(scales)
    ggplot(plotdata,

    aes(x = factor(rank,
    labels = c(“Assistant\nProfessor”,

    “Associate\nProfessor”,
    “Full\nProfessor”)),

    y = mean_salary)) +
    geom_bar(stat = “identity”,

    fill = “cornflowerblue”) +
    geom_text(aes(label = dollar(mean_salary)),

    vjust = -0.25) +
    scale_y_continuous(breaks = seq(0, 130000, 20000),

    label = dollar) +

    4.3. CATEGORICAL VS. QUANTITATIVE 81

    labs(title = “Mean Salary by Rank”,
    subtitle = “9-month academic salary for 2008-2009”,
    x = “”,
    y = “”)

    $80,776

    $93,876

    $126,772

    $0

    $20,000

    $40,000

    $60,000

    $80,000

    $100,000

    $120,000

    Assistant
    Professor

    Associate
    Professor

    Full
    Professor

    9−month academic salary for 2008−2009

    Mean Salary by

    Rank

    One limitation of such plots is that they do not display the distribution of the data – only the summary
    statistic for each group. The plots below correct this limitation to some extent.

    4.3.2 Grouped kernel density plots

    One can compare groups on a numeric variable by superimposing kernel density plots in a single graph.

    # plot the distribution of salaries
    # by rank using kernel density plots
    ggplot(Salaries,

    aes(x = salary,
    fill = rank)) +

    geom_density(alpha = 0.4) +
    labs(title = “Salary distribution by rank”)

    82 CHAPTER 4. BIVARIATE GRAPHS

    0e+00

    1e−05

    2e−05

    3e−05

    4e−05

    50000 100000 150000 200000

    salary

    d
    e
    n
    si
    ty
    rank

    AsstProf

    AssocProf

    Prof

    Salary distribution by rank

    The alpha option makes the density plots partially transparent, so that we can see what is happening
    under the overlaps. Alpha values range from 0 (transparent) to 1 (opaque). The graph makes clear that, in
    general, salary goes up with rank. However, the salary range for full professors is very wide.

    4.3.3 Box plots

    A boxplot displays the 25th percentile, median, and 75th percentile of a distribution. The whiskers (vertical
    lines) capture roughly 99% of a normal distribution, and observations outside this range are plotted as points
    representing outliers (see the figure below).

    4.3. CATEGORICAL VS. QUANTITATIVE 83

    Side-by-side box plots are very useful for comparing groups (i.e., the levels of a categorical variable) on a
    numerical variable.

    # plot the distribution of salaries by rank using boxplots
    ggplot(Salaries,

    aes(x = rank,
    y = salary)) +

    geom_boxplot() +

    labs(title = “Salary distribution by rank”)

    Notched boxplots provide an approximate method for visualizing whether groups differ. Although not a
    formal test, if the notches of two boxplots do not overlap, there is strong evidence (95% confidence) that the
    medians of the two groups differ.

    # plot the distribution of salaries by rank using boxplots
    ggplot(Salaries, aes(x = rank,

    y = salary)) +
    geom_boxplot(notch = TRUE,

    fill = “cornflowerblue”,
    alpha = .7) +

    labs(title = “Salary distribution by rank”)

    In the example above, all three groups appear to differ.

    One of the advantages of boxplots is that their widths are not usually meaningful. This allows you to
    compare the distribution of many groups in a single graph.

    4.3.4 Violin plots

    Violin plots are similar to kernel density plots, but are mirrored and rotated 90o.

    84 CHAPTER 4. BIVARIATE GRAPHS

    50000
    100000
    150000
    200000

    AsstProf AssocProf Prof

    rank
    sa
    la
    ry
    Salary distribution by rank

    Figure 4.8: Side-by-side boxplots

    4.3. CATEGORICAL VS. QUANTITATIVE 85

    50000
    100000
    150000
    200000
    AsstProf AssocProf Prof
    rank
    sa
    la
    ry
    Salary distribution by rank

    Figure 4.9: Side-by-side notched boxplots

    86 CHAPTER 4. BIVARIATE GRAPHS

    # plot the distribution of salaries
    # by rank using violin plots
    ggplot(Salaries,

    aes(x = rank,
    y = salary)) +

    geom_violin() +
    labs(title = “Salary distribution by rank”)

    50000
    100000
    150000
    200000
    AsstProf AssocProf Prof
    rank
    sa
    la
    ry
    Salary distribution by rank

    A useful variation is to superimpose boxplots on violin plots.

    # plot the distribution using violin and boxplots
    ggplot(Salaries,

    aes(x = rank,
    y = salary)) +

    geom_violin(fill = “cornflowerblue”) +
    geom_boxplot(width = .2,

    fill = “orange”,
    outlier.color = “orange”,
    outlier.size = 2) +

    labs(title = “Salary distribution by rank”)

    4.3.5 Ridgeline plots

    A ridgeline plot (also called a joyplot) displays the distribution of a quantitative variable for several groups.
    They’re similar to kernel density plots with vertical faceting, but take up less room. Ridgeline plots are

    4.3. CATEGORICAL VS. QUANTITATIVE 87

    50000
    100000
    150000
    200000
    AsstProf AssocProf Prof
    rank
    sa
    la
    ry
    Salary distribution by rank

    Figure 4.10: Side-by-side violin/box plots

    88 CHAPTER 4. BIVARIATE GRAPHS

    2seater

    compact

    midsize

    minivan

    pickup

    subcompact

    suv

    10 20 30

    cty

    cl
    a

    ss

    Figure 4.11: Ridgeline graph with color fill

    created with the ggridges package.

    Using the Fuel economy dataset, let’s plot the distribution of city driving miles per gallon by car class.

    # create ridgeline graph
    library(ggplot2)
    library(ggridges)

    ggplot(mpg,
    aes(x = cty,

    y = class,
    fill = class)) +

    geom_density_ridges() +
    theme_ridges() +
    labs(“Highway mileage by auto class”) +
    theme(legend.position = “none”)

    I’ve suppressed the legend here because it’s redundant (the distributions are already labeled on the y-axis).
    Unsurprisingly, pickup trucks have the poorest mileage, while subcompacts and compact cars tend to achieve
    ratings. However, there is a very wide range of gas mileage scores for these smaller cars.

    Note the the possible overlap of distributions is the trade-off for a more compact graph. You can add
    transparency if the the overlap is severe using geom_density_ridges(alpha = n), where n ranges from 0
    (transparent) to 1 (opaque). See the package vingnette for more details.

    https://cran.r-project.org/web/packages/ggridges/vignettes/introduction.html

    4.3. CATEGORICAL VS. QUANTITATIVE 89

    Table 4.1: Plot data

    rank n mean sd se ci
    AsstProf 67 80775.99 8174.113 998.6268 1993.823
    AssocProf 64 93876.44 13831.700 1728.9625 3455.056
    Prof 266 126772.11 27718.675 1699.5410 3346.322

    4.3.6 Mean/SEM plots

    A popular method for comparing groups on a numeric variable is the mean plot with error bars. Error bars
    can represent standard deviations, standard error of the mean, or confidence intervals. In this section, we’ll
    plot means and standard errors.

    # calculate means, standard deviations,
    # standard errors, and 95% confidence
    # intervals by rank
    library(dplyr)
    plotdata <- Salaries %>%
    group_by(rank) %>%
    summarize(n = n(),

    mean = mean(salary),
    sd = sd(salary),
    se = sd / sqrt(n),
    ci = qt(0.975, df = n – 1) * sd / sqrt(n))

    The resulting dataset is given below.

    # plot the means and standard errors
    ggplot(plotdata,

    aes(x = rank,
    y = mean,
    group = 1)) +

    geom_point(size = 3) +
    geom_line() +
    geom_errorbar(aes(ymin = mean – se,

    ymax = mean + se),
    width = .1)

    90 CHAPTER 4. BIVARIATE GRAPHS

    80000

    90000
    100000

    1

    10000

    1

    20000

    130000

    AsstProf AssocProf Prof
    rank
    m
    e
    a
    n

    Although we plotted error bars representing the standard error, we could have plotted standard deviations
    or 95% confidence intervals. Simply replace se with sd or error in the aes option.

    We can use the same technique to compare salary across rank and sex. (Technically, this is not bivariate
    since we’re plotting rank, sex, and salary, but it seems to fit here)

    # calculate means and standard errors by rank and sex
    plotdata <- Salaries %>%
    group_by(rank, sex) %>%
    summarize(n = n(),

    mean = mean(salary),
    sd = sd(salary),
    se = sd/sqrt(n))

    # plot the means and standard errors by sex
    ggplot(plotdata, aes(x = rank,

    y = mean,
    group=sex,
    color=sex)) +

    geom_point(size = 3) +
    geom_line(size = 1) +
    geom_errorbar(aes(ymin =mean – se,

    ymax = mean+se),
    width = .1)

    4.3. CATEGORICAL VS. QUANTITATIVE 91

    80000
    90000
    100000
    110000

    120000

    130000
    AsstProf AssocProf Prof
    rank
    m
    e
    a
    n
    sex
    Female
    Male

    Unfortunately, the error bars overlap. We can dodge the horizontal positions a bit to overcome this.

    # plot the means and standard errors by sex (dodged)
    pd <- position_dodge(0.2) ggplot(plotdata,

    aes(x = rank,
    y = mean,
    group=sex,
    color=sex)) +

    geom_point(position = pd,
    size = 3) +

    geom_line(position = pd,
    size = 1) +

    geom_errorbar(aes(ymin = mean – se,
    ymax = mean + se),

    width = .1,
    position= pd)

    92 CHAPTER 4. BIVARIATE GRAPHS

    80000
    90000
    100000
    110000
    120000
    130000
    AsstProf AssocProf Prof
    rank
    m
    e
    a
    n
    sex
    Female
    Male

    Finally, lets add some options to make the graph more attractive.

    # improved means/standard error plot
    pd <- position_dodge(0.2) ggplot(plotdata,

    aes(x = factor(rank,
    labels = c(“Assistant\nProfessor”,
    “Associate\nProfessor”,
    “Full\nProfessor”)),
    y = mean,
    group=sex,
    color=sex)) +

    geom_point(position=pd,
    size = 3) +

    geom_line(position = pd,
    size = 1) +
    geom_errorbar(aes(ymin = mean – se,
    ymax = mean + se),

    width = .1,
    position = pd,
    size = 1) +

    scale_y_continuous(label = scales::dollar) +

    scale_color_brewer(palette=”Set1″) +
    theme_minimal() +
    labs(title = “Mean salary by rank and sex”,

    subtitle = “(mean +/- standard error)”,
    x = “”,

    4.3. CATEGORICAL VS. QUANTITATIVE 93

    $80,000

    $90,000

    $100,000

    $110,000

    $120,000

    $130,000

    Assistant
    Professor
    Associate
    Professor
    Full
    Professor
    Gender
    Female
    Male

    (mean +/− standard error)

    Mean salary by rank and sex

    Figure 4.12: Mean/se plot with better labels and colors

    y = “”,
    color = “Gender”)

    4.3.7 Strip plots

    The relationship between a grouping variable and a numeric variable can be displayed with a scatter plot.

    For example

    # plot the distribution of salaries
    # by rank using strip plots
    ggplot(Salaries,

    aes(y = rank,
    x = salary)) +

    geom_point() +
    labs(title = “Salary distribution by rank”)

    94 CHAPTER 4. BIVARIATE GRAPHS

    AsstProf
    AssocProf
    Prof
    50000 100000 150000 200000
    salary

    ra
    n

    k
    Salary distribution by rank

    These one-dimensional scatterplots are called strip plots. Unfortunately, overprinting of points makes
    interpretation difficult. The relationship is easier to see if the the points are jittered. Basically a small
    random number is added to each y-coordinate.

    # plot the distribution of salaries
    # by rank using jittering
    ggplot(Salaries,

    aes(y = rank,
    x = salary)) +

    geom_jitter() +
    labs(title = “Salary distribution by rank”)

    4.3. CATEGORICAL VS. QUANTITATIVE 95

    AsstProf
    AssocProf
    Prof
    50000 100000 150000 200000
    salary
    ra
    n
    k
    Salary distribution by rank

    It is easier to compare groups if we use color.

    # plot the distribution of salaries
    # by rank using jittering
    library(scales)
    ggplot(Salaries,

    aes(y = factor(rank,
    labels = c(“Assistant\nProfessor”,

    “Associate\nProfessor”,
    “Full\nProfessor”)),

    x = salary,
    color = rank)) +

    geom_jitter(alpha = 0.7,
    size = 1.5) +

    scale_x_continuous(label = dollar) +
    labs(title = “Academic Salary by Rank”,

    subtitle = “9-month salary for 2008-2009”,

    x = “”,
    y = “”) +

    theme_minimal() +
    theme(legend.position = “none”)

    96 CHAPTER 4. BIVARIATE GRAPHS

    Assistant
    Professor
    Associate
    Professor
    Full
    Professor

    $50,000 $100,000 $150,000 $200,000

    9−month salary for 2008−2009

    Academic Salary by Rank

    The option legend.position = “none” is used to suppress the legend (which is not needed here). Jittered
    plots work well when the number of points in not overly large.

    4.3.7.1 Combining jitter and boxplots

    It may be easier to visualize distributions if we add boxplots to the jitter plots.

    # plot the distribution of salaries
    # by rank using jittering
    library(scales)
    ggplot(Salaries,
    aes(x = factor(rank,
    labels = c(“Assistant\nProfessor”,
    “Associate\nProfessor”,
    “Full\nProfessor”)),

    y = salary,
    color = rank)) +

    geom_boxplot(size=1,
    outlier.shape = 1,
    outlier.color = “black”,
    outlier.size = 3) +

    geom_jitter(alpha = 0.5,
    width=.2) +

    scale_y_continuous(label = dollar) +
    labs(title = “Academic Salary by Rank”,

    subtitle = “9-month salary for 2008-2009”,

    4.3. CATEGORICAL VS. QUANTITATIVE 97

    x = “”,
    y = “”) +

    theme_minimal() +
    theme(legend.position = “none”) +
    coord_flip()

    Assistant
    Professor
    Associate
    Professor
    Full
    Professor
    $50,000 $100,000 $150,000 $200,000
    9−month salary for 2008−2009
    Academic Salary by Rank

    Several options were added to create this plot.

    For the boxplot

    • size = 1 makes the lines thicker

    • outlier.color = “black” makes outliers black
    • outlier.shape = 1 specifies circles for outliers
    • outlier.size = 3 increases the size of the outlier symbol

    For the jitter

    • alpha = 0.5 makes the points more transparent
    • width = .2 decreases the amount of jitter (.4 is the default)

    Finally, the x and y axes are revered using the coord_flip function (i.e., the graph is turned on its side).

    Before moving on, it is worth mentioning the geom_boxjitter function provided in the ggpol package. It
    creates a hybrid boxplot – half boxplot, half scatterplot.

    https://www.rdocumentation.org/packages/ggpol/versions/0.0.1/topics/geom_boxjitter

    https://erocoar.github.io/ggpol/

    98 CHAPTER 4. BIVARIATE GRAPHS

    # plot the distribution of salaries
    # by rank using jittering
    library(ggpol)
    library(scales)
    ggplot(Salaries,

    aes(x = factor(rank,
    labels = c(“Assistant\nProfessor”,
    “Associate\nProfessor”,
    “Full\nProfessor”)),

    y = salary,
    fill=rank)) +

    geom_boxjitter(color=”black”,
    jitter.color = “darkgrey”,
    errorbar.draw = TRUE) +

    scale_y_continuous(label = dollar) +
    labs(title = “Academic Salary by Rank”,

    subtitle = “9-month salary for 2008-2009”,
    x = “”,
    y = “”) +

    theme_minimal() +
    theme(legend.position = “none”)

    $50,000
    $100,000
    $150,000
    $200,000
    Assistant
    Professor
    Associate
    Professor
    Full
    Professor
    9−month salary for 2008−2009
    Academic Salary by Rank

    ### Beeswarm Plots
    Beeswarm plots (also called violin scatter plots) are similar to jittered scatterplots, in that they display the
    distribution of a quantitative variable by plotting points in way that reduces overlap. In addition, they

    also

    help display the density of the data at each point (in a manner that is similar to a violin plot). Continuing

    4.3. CATEGORICAL VS. QUANTITATIVE 99

    the previous example

    # plot the distribution of salaries
    # by rank using beewarm-syle plots
    library(ggbeeswarm)
    library(scales)
    ggplot(Salaries,

    aes(x = factor(rank,
    labels = c(“Assistant\nProfessor”,
    “Associate\nProfessor”,
    “Full\nProfessor”)),
    y = salary,
    color = rank)) +

    geom_quasirandom(alpha = 0.7,
    size = 1.5) +

    scale_y_continuous(label = dollar) +
    labs(title = “Academic Salary by Rank”,
    subtitle = “9-month salary for 2008-2009”,
    x = “”,
    y = “”) +
    theme_minimal() +
    theme(legend.position = “none”)
    $50,000
    $100,000
    $150,000
    $200,000
    Assistant
    Professor
    Associate
    Professor
    Full
    Professor
    9−month salary for 2008−2009
    Academic Salary by Rank

    The plots are create using the geom_quasirandom function. These plots can be easier to read than simple
    jittered strip plots. To learn more about these plots, see Beeswarm-style plots with ggplot2.

    https://github.com/eclarke/ggbeeswarm

    100 CHAPTER 4. BIVARIATE GRAPHS

    Afghanistan
    Bahrain

    Bangladesh
    Cambodia

    China
    Hong Kong, China

    India
    Indonesia

    Iran
    Iraq

    Israel

    Japan

    Jordan
    Korea, Dem. Rep.

    Korea, Rep.
    Kuwait

    Lebanon
    Malaysia
    Mongolia
    Myanmar

    Nepal
    Oman

    Pakistan
    Philippines

    Saudi Arabia
    Singapore
    Sri Lanka

    Syria
    Taiwan

    Thailand
    Vietnam

    West Bank and Gaza
    Yemen, Rep.

    50 60 70 80

    lifeExp

    co
    u

    n
    tr

    y

    Figure 4.13: Basic Cleveland dot plot

    4.3.8 Cleveland Dot Charts

    Cleveland plots are useful when you want to compare a numeric statistic for a large number of groups. For
    example, say that you want to compare the 2007 life expectancy for Asian country using the gapminder
    dataset.

    data(gapminder, package=”gapminder”)

    # subset Asian countries in 2007
    library(dplyr)
    plotdata <- gapminder %>%
    filter(continent == “Asia” &

    year == 2007)

    # basic Cleveland plot of life expectancy by country
    ggplot(plotdata,

    aes(x= lifeExp, y = country)) +
    geom_point()

    Comparisons are usually easier if the y-axis is sorted.

    4.3. CATEGORICAL VS. QUANTITATIVE 101

    Afghanistan
    Iraq

    Cambodia
    Myanmar

    Yemen, Rep.
    Nepal

    Bangladesh
    India

    Pakistan
    Mongolia

    Korea, Dem. Rep.
    Thailand

    Indonesia
    Iran

    Philippines
    Lebanon

    Sri Lanka
    Jordan

    Saudi Arabia
    China

    West Bank and Gaza
    Syria

    Malaysia
    Vietnam
    Bahrain

    Oman
    Kuwait
    Taiwan

    Korea, Rep.
    Singapore

    Israel
    Hong Kong, China

    Japan
    50 60 70 80
    lifeExp

    re
    o

    rd
    e

    r(
    co

    u
    n

    tr
    y,

    li
    fe

    E
    xp
    )

    Figure 4.14: Sorted Cleveland dot plot

    # Sorted Cleveland plot
    ggplot(plotdata,

    aes(x=lifeExp,
    y=reorder(country, lifeExp))) +

    geom_point()

    Finally, we can use options to make the graph more attractive.

    # Fancy Cleveland plot
    ggplot(plotdata,

    aes(x=lifeExp,
    y=reorder(country, lifeExp))) +

    geom_point(color=”blue”,
    size = 2) +

    geom_segment(aes(x = 40,
    xend = lifeExp,
    y = reorder(country, lifeExp),
    yend = reorder(country, lifeExp)),
    color = “lightgrey”) +

    labs (x = “Life Expectancy (years)”,
    y = “”,
    title = “Life Expectancy by Country”,
    subtitle = “GapMinder data for Asia – 2007”) +

    102 CHAPTER 4. BIVARIATE GRAPHS

    Afghanistan
    Iraq
    Cambodia
    Myanmar
    Yemen, Rep.
    Nepal
    Bangladesh
    India
    Pakistan
    Mongolia
    Korea, Dem. Rep.
    Thailand
    Indonesia
    Iran
    Philippines
    Lebanon
    Sri Lanka
    Jordan
    Saudi Arabia
    China
    West Bank and Gaza
    Syria
    Malaysia
    Vietnam
    Bahrain
    Oman
    Kuwait
    Taiwan
    Korea, Rep.
    Singapore
    Israel
    Hong Kong, China
    Japan

    40 50 60 70 80

    Life Expectancy (years)

    GapMinder data for Asia − 2007

    Life Expectancy by Country

    Figure 4.15: Fancy Cleveland plot

    theme_minimal() +
    theme(panel.grid.major = element_blank(),

    panel.grid.minor = element_blank())

    Japan clearly has the highest life expectancy, while Afghanistan has the lowest by far. This last plot is also
    called a lollipop graph (you can see why).

    Chapter 5

    Multivariate Graphs

    Multivariate graphs display the relationships among three or more variables. There are two common methods
    for accommodating multiple variables: grouping and faceting.

    5.1 Grouping

    In grouping, the values of the first two variables are mapped to the x and y axes. Then additional variables
    are mapped to other visual characteristics such as color, shape, size, line type, and transparency. Grouping
    allows you to plot the data for multiple groups in a single graph.

    Using the Salaries dataset, let’s display the relationship between yrs.since.phd and salary.

    library(ggplot2)
    data(Salaries, package=”carData”)

    # plot experience vs. salary
    ggplot(Salaries,

    aes(x = yrs.since.phd,
    y = salary)) +

    geom_point() +
    labs(title = “Academic salary by years since degree”)

    Next, let’s include the rank of the professor, using color.

    # plot experience vs. salary (color represents rank)
    ggplot(Salaries, aes(x = yrs.since.phd,

    y = salary,
    color=rank)) +

    geom_point() +
    labs(title = “Academic salary by rank and years since degree”)

    103

    104 CHAPTER 5. MULTIVARIATE GRAPHS

    50000
    100000
    150000
    200000
    0 20 40
    yrs.since.phd
    sa
    la
    ry

    Academic salary by years since degree

    Figure 5.1: Simple scatterplot

    5.1. GROUPING 105

    50000
    100000
    150000
    200000
    0 20 40
    yrs.since.phd
    sa
    la
    ry
    rank
    AsstProf
    AssocProf
    Prof

    Academic salary by rank and years since degree

    Finally, let’s add the gender of professor, using the shape of the points to indicate sex. We’ll increase the
    point size and add transparency to make the individual points clearer.

    # plot experience vs. salary
    # (color represents rank, shape represents sex)
    ggplot(Salaries,

    aes(x = yrs.since.phd,
    y = salary,
    color = rank,
    shape = sex)) +

    geom_point(size = 3,
    alpha = .6) +

    labs(title = “Academic salary by rank, sex, and years since degree”)

    106 CHAPTER 5. MULTIVARIATE GRAPHS

    50000
    100000
    150000
    200000
    0 20 40
    yrs.since.phd
    sa
    la
    ry
    sex
    Female
    Male
    rank
    AsstProf
    AssocProf
    Prof

    Academic salary by rank, sex, and years since degree

    I can’t say that this is a great graphic. It is very busy, and it can be difficult to distinguish male from
    female professors. Faceting (described in the next section) would probably be a better approach.

    Notice the difference between specifying a constant value (such as size = 3) and a mapping of a
    variable to a visual characteristic (e.g., color = rank). Mappings are always placed within the
    aes function, while the assignment of a constant value always appear outside of the aes function.

    Here is a cleaner example. We’ll graph the relationship between years since Ph.D. and salary using the size
    of the points to indicate years of service. This is called a bubble plot.

    library(ggplot2)
    data(Salaries, package=”carData”)

    # plot experience vs. salary
    # (color represents rank and size represents service)
    ggplot(Salaries,

    aes(x = yrs.since.phd,
    y = salary,
    color = rank,
    size = yrs.service)) +

    geom_point(alpha = .6) +
    labs(title = “Academic salary by rank, years of service, and years since degree”)

    5.1. GROUPING 107

    50000
    100000
    150000
    200000
    0 20 40
    yrs.since.phd
    sa
    la
    ry

    yrs.service

    0
    10
    20
    30
    40
    50
    60
    rank
    AsstProf
    AssocProf
    Prof

    Academic salary by rank, years of service, and years since degree

    There is obviously a strong positive relationship between years since Ph.D. and year of service. Assistant
    Professors fall in the 0-11 years since Ph.D. and 0-10 years of service range. Clearly highly experienced
    professionals don’t stay at the Assistant Professor level (they are probably promoted or leave the University).
    We don’t find the same time demarcation between Associate and Full Professors.
    Bubble plots are described in more detail in a later chapter.
    As a final example, let’s look at the yrs.since.phd vs salary and add sex using color and quadratic best fit
    lines.

    # plot experience vs. salary with
    # fit lines (color represents sex)
    ggplot(Salaries,

    aes(x = yrs.since.phd,
    y = salary,
    color = sex)) +

    geom_point(alpha = .4,
    size = 3) +

    geom_smooth(se=FALSE,
    method = “lm”,
    formula = y~poly(x,2),
    size = 1.5) +

    labs(x = “Years Since Ph.D.”,
    title = “Academic Salary by Sex and Years Experience”,
    subtitle = “9-month salary for 2008-2009”,
    y = “”,
    color = “Sex”) +

    scale_y_continuous(label = scales::dollar) +

    108 CHAPTER 5. MULTIVARIATE GRAPHS

    scale_color_brewer(palette = “Set1”) +
    theme_minimal()

    $50,000
    $100,000
    $150,000
    $200,000
    0 20 40

    Years Since Ph.D.

    Sex

    Female
    Male
    9−month salary for 2008−2009

    Academic Salary by Sex and Years Experience

    ## Faceting {#Faceting}

    Grouping allows you to plot multiple variables in a single graph, using visual characteristics such as color,
    shape, and size.

    In faceting, a graph consists of several separate plots or small multiples, one for each level of a third variable,
    or combination of variables. It is easiest to understand this with an example.

    # plot salary histograms by rank
    ggplot(Salaries, aes(x = salary)) +
    geom_histogram(fill = “cornflowerblue”,

    color = “white”) +
    facet_wrap(~rank, ncol = 1) +
    labs(title = “Salary histograms by rank”)

    5.1. GROUPING 109

    Prof
    AssocProf
    AsstProf
    50000 100000 150000 200000
    0
    10
    20
    30
    0
    10
    20
    30
    0
    10
    20
    30
    salary
    co
    u
    n
    t

    Salary histograms by rank

    The facet_wrap function creates a separate graph for each level of rank. The ncol option controls the
    number of columns.

    In the next example, two variables are used to define the facets.

    # plot salary histograms by rank and sex
    ggplot(Salaries, aes(x = salary / 1000)) +
    geom_histogram(color = “white”,

    fill = “cornflowerblue”) +
    facet_grid(sex ~ rank) +
    labs(title = “Salary histograms by sex and rank”,

    x = “Salary ($1000)”)

    110 CHAPTER 5. MULTIVARIATE GRAPHS

    AsstProf AssocProf Prof

    F
    e

    m
    a

    le
    M

    a
    le

    50 100 150 200 50 100 150 200 50 100 150 200

    0
    10
    20
    0
    10
    20

    Salary ($1000)

    co
    u
    n
    t

    Salary histograms by sex and rank

    The format of the facet_grid function is

    facet_grid( row variable(s) ~ column variable(s))

    Here, the function assigns sex to the rows and rank to the columns, creating a matrix of 6 plots in one graph.

    We can also combine grouping and faceting. Let’s use Mean/SE plots and faceting to compare the salaries
    of male and female professors, within rank and discipline. We’ll use color to distinguish sex and faceting to
    create plots for rank by discipline combinations.

    # calculate means and standard erroes by sex,
    # rank and discipline

    library(dplyr)
    plotdata <- Salaries %>%
    group_by(sex, rank, discipline) %>%
    summarize(n = n(),

    mean = mean(salary),
    sd = sd(salary),
    se = sd / sqrt(n))

    # create better labels for discipline
    plotdata$discipline <- factor(plotdata$discipline,

    labels = c(“Theoretical”,
    “Applied”))

    # create plot
    ggplot(plotdata,

    aes(x = sex,

    5.1. GROUPING 111

    AsstProf

    Theoretical

    AsstProf

    Applied

    AssocProf
    Theoretical
    AssocProf
    Applied
    Prof
    Theoretical
    Prof
    Applied

    Female Male Female Male Female Male Female Male Female Male

    Female Male

    $70,000

    $80,000
    $90,000
    $100,000
    $110,000
    $120,000
    $130,000

    $140,000

    (Means and standard errors)

    Nine month academic salaries by gender, discipline, and rank

    Figure 5.2: Salary by sex, rank, and discipline

    y = mean,
    color = sex)) +

    geom_point(size = 3) +
    geom_errorbar(aes(ymin = mean – se,

    ymax = mean + se),
    width = .1) +

    scale_y_continuous(breaks = seq(70000, 140000, 10000),
    label = scales::dollar) +

    facet_grid(. ~ rank + discipline) +
    theme_bw() +
    theme(legend.position = “none”,

    panel.grid.major.x = element_blank(),
    panel.grid.minor.y = element_blank()) +

    labs(x=””,
    y=””,
    title=”Nine month academic salaries by gender, discipline, and rank”,
    subtitle = “(Means and standard errors)”) +

    scale_color_brewer(palette=”Set1″)

    The statement facet_grid(. ~ rank + discipline) specifies no row variable (.) and columns defined by
    the combination of rank and discipline.

    The theme_ functions create create a black and white theme and eliminates vertical grid lines and minor

    112 CHAPTER 5. MULTIVARIATE GRAPHS

    horizontal grid lines. The scale_color_brewer function changes the color scheme for the points and error
    bars.

    At first glance, it appears that there might be gender differences in salaries for associate and full professors
    in theoretical fields. I say “might” because we haven’t done any formal hypothesis testing yet (ANCOVA in
    this case).

    See the Customizing section to learn more about customizing the appearance of a graph.

    As a final example, we’ll shift to a new dataset and plot the change in life expectancy over time for countries
    in the “Americas”. The data comes from the gapminder dataset in the gapminder package. Each country
    appears in its own facet. The theme functions are used to simplify the background color, rotate the x-axis
    text, and make the font size smaller.

    # plot life expectancy by year separately
    # for each country in the Americas
    data(gapminder, package = “gapminder”)

    # Select the Americas data
    plotdata <- dplyr::filter(gapminder,

    continent == “Americas”)

    # plot life expectancy by year, for each country
    ggplot(plotdata, aes(x=year, y = lifeExp)) +
    geom_line(color=”grey”) +
    geom_point(color=”blue”) +
    facet_wrap(~country) +
    theme_minimal(base_size = 9) +
    theme(axis.text.x = element_text(angle = 45,

    hjust = 1)) +
    labs(title = “Changes in Life Expectancy”,

    x = “Year”,
    y = “Life Expectancy”)

    5.1. GROUPING 113

    Puerto Rico Trinidad and Tobago United States Uruguay

    Venezuela

    Mexico Nicaragua Panama Paraguay Peru

    El Salvador Guatemala Haiti Honduras Jamai

    ca

    Colombia Costa Rica Cuba Dominican Republic Ecuador

    Argentina Bolivia Brazil Canada Chile

    19
    50

    19
    60

    19
    70

    19
    80

    19
    90

    20
    00

    19
    50
    19
    60
    19
    70
    19
    80
    19
    90
    20
    00
    19
    50
    19
    60
    19
    70
    19
    80
    19
    90
    20
    00
    19
    50
    19
    60
    19
    70
    19
    80
    19
    90
    20
    00
    19
    50
    19
    60
    19
    70
    19
    80
    19
    90
    20
    00
    40
    50
    60
    70
    80
    40
    50
    60
    70
    80
    40
    50
    60
    70
    80
    40
    50
    60
    70
    80
    40
    50
    60
    70
    80
    Year
    L
    ife
    E
    xp
    e
    ct
    a
    n

    cy
    Changes in Life Expectancy

    We can see that life expectancy is increasing in each country, but that Haiti is lagging behind.

    114 CHAPTER 5. MULTIVARIATE GRAPHS

    Chapter 6

    Maps

    R provides a myriad of methods for creating both static and interactive maps containing statistical infor-
    mation. This section focuses on the use of ggmap and choroplethr.

    6.1 Dot density maps

    Dot density maps use points on a map to explore spatial relationships.

    The Houston crime dataset contains the date, time, and address of six types of criminal offenses reported
    between January and August 2010. The longitude and latitude of each offence was added using geocode
    function, which takes an address and returns coordinates using the Google Maps API.

    We’ll use this dataset to plot the locations of rape reports.

    library(ggmap)

    # subset the data
    library(dplyr)
    rapes <- filter(crime, offense == "rape") %>%
    select(date, offense, address, lon, lat)

    # view data
    head(rapes)

    ## date offense address lon lat
    ## 1 1/1/2010 rape 5950 glenmont dr -95.48498 29.72007
    ## 2 1/1/2010 rape 2350 sperber ln -95.34817 29.75505
    ## 3 1/1/2010 rape 5850 mackinaw rd -95.47353 29.60021
    ## 4 1/1/2010 rape 5850 southwest fwy -95.48174 29.72603
    ## 5 1/2/2010 rape 7550 corporate dr -95.55224 29.69836
    ## 6 1/2/2010 rape 1150 fidelity st -95.25535 29.74147

    Let’s set up the map.

    (1) Find the center coordinates for Houston,

    TX

    115

    https://developers.google.com/maps/terms

    116 CHAPTER 6. MAPS

    29.72

    29.74

    29.76

    29.78

    29.80

    −95.400 −95.375 −95.350 −95.325

    lon

    l

    a
    t

    Figure 6.1: Houston map

    # using geocode function returns
    # lon=-95.3698, lat=29.76043
    houston_center <- geocode("Houston, TX")

    (2) Get the background map image.

    • Specify a zoom factor from 3 (continent) to 21 (building). The default is 10 (city).

    • Specify a map type. Types include terrain, terrain-background, satellite, roadmap, hybrid, watercolor,
    and toner.

    # get Houston map
    houston_map <- get_map(houston_center,

    zoom = 13,
    maptype = “roadmap”)

    ggmap(houston_map)

    (3) Add crime locations to the map.

    6.1. DOT DENSITY MAPS 117

    29.72
    29.74
    29.76
    29.78
    29.80
    −95.400 −95.375 −95.350 −95.325
    lon
    la
    t

    Figure 6.2: Crime locations

    # add incident locations
    ggmap(houston_map,

    base_layer = ggplot(data = rapes,
    aes(x=lon, y = lat))) +

    geom_point(color = “red”,
    size = 3,
    alpha = 0.5)

    (4) Clean up the plot and add labels.

    # remove long and lat numbers and add titles
    ggmap(houston_map,

    base_layer = ggplot(aes(x=lon, y = lat),
    data = rapes)) +

    geom_point(color = “red”,
    size = 3,
    alpha = 0.5) +

    theme_void() +
    labs(title = “Location of reported rapes”,

    subtitle = “Houston Jan – Aug 2010”,
    caption = “source: http://www.houstontx.gov/police/cs/”)

    118 CHAPTER 6. MAPS

    Houston Jan − Aug 2010

    Location of reported rapes

    source: http://www.houstontx.gov/police/cs/

    Figure 6.3: Crime locations with titles, and without longitude and latitude

    6.2. CHOROPLETH MAPS 119

    There seems to be a concentration of rape reports in midtown.

    To learn more about ggmap, see ggmap: Spatial Visualization with ggplot2.

    6.2 Choropleth maps

    Choropleth maps use color or shading on predefined areas to indicate average values of a numeric variable
    in that area. In this section we’ll use the choroplethr package to create maps that display information by
    country, US state, and US county.

    6.2.1 Data by country

    Let’s create a world map and color the countries by life expectancy using the 2007 gapminder data.

    The choroplethr package has numerous functions that simplify the task of creating a choropleth map. To
    plot the life expectancy data, we’ll use the country_choropleth function.

    The function requires that the data frame to be plotted has a column named region and a column named
    value. Additionally, the entries in the region column must exactly match how the entries are named in the
    region column of the dataset country.map from the choroplethrMaps package.

    # view the first 12 region names in country.map
    data(country.map, package = “choroplethrMaps”)
    head(unique(country.map$region), 12)

    ## [1] “afghanistan” “angola” “azerbaijan” “moldova” “madagascar”
    ## [6] “mexico” “macedonia” “mali” “myanmar” “montenegro”
    ## [11] “mongolia” “mozambique”

    Note that the region entries are all lower case.

    To continue, we need to make some edits to our gapminder dataset. Specifically, we need to

    1. select the 2007 data
    2. rename the country variable to

    region

    3. rename the lifeExp variable to value

    4. recode region values to lower case

    5. recode some region values to match the region values in the country.map data frame. The recode func-
    tion in the dplyr package take the form recode(variable, oldvalue1 = newvalue1, oldvalue2 =
    newvalue2, …)

    # prepare dataset
    data(gapminder, package = “gapminder”)
    plotdata <- gapminder %>%
    filter(year == 2007) %>%
    rename(region = country,

    value = lifeExp) %>%
    mutate(region = tolower(region)) %>%
    mutate(region = recode(region,

    https://journal.r-project.org/archive/2013-1/kahle-wickham

    https://www.rdocumentation.org/packages/choroplethr/versions/3.6.1/topics/county_choropleth

    120 CHAPTER 6. MAPS

    [39.6 to 50.7)

    [50.7 to 59.4)

    [59.4 to 70.3)

    [70.3 to 72.8)

    [72.8 to 75.5)

    [75.5 to 79.4)

    [79.4 to 82.6]

    NA

    Figure 6.4: Choropleth map of life expectancy

    “united states” = “united states of america”,
    “congo, dem. rep.” = “democratic republic of the congo”,
    “congo, rep.” = “republic of congo”,
    “korea, dem. rep.” = “south korea”,
    “korea. rep.” = “north korea”,
    “tanzania” = “united republic of tanzania”,
    “serbia” = “republic of serbia”,
    “slovak republic” = “slovakia”,
    “yemen, rep.” = “yemen”))

    Now lets create the map.

    library(choroplethr)
    country_choropleth(plotdata)

    choroplethr functions return ggplot2 graphs. Let’s make it a bit more attractive by modifying the code
    with additional ggplot2 functions.

    country_choropleth(plotdata,
    num_colors=9) +

    scale_fill_brewer(palette=”YlOrRd”) +
    labs(title = “Life expectancy by country”,

    6.2. CHOROPLETH MAPS 121

    subtitle = “Gapminder 2007 data”,
    caption = “source: https://www.gapminder.org”,
    fill = “Years”)

    Years

    [39.6 to 49.3)

    [49.3 to 55.3)

    [55.3 to 62.7)

    [62.7 to 70.7)

    [70.7 to 72.5)

    [72.5 to 74.2)

    [74.2 to 77.9)

    [77.9 to 79.8)

    [79.8 to 82.6]

    NA

    Gapminder 2007 data

    Life expectancy by country

    source: https://www.gapminder.org

    ### Data by US state

    For US data, the choroplethr package provides functions for creating maps by county, state, zip code, and
    census tract. Additionally, map regions can be labeled.

    Let’s plot US states by Mexcian American popultion, using the 2010 Census.

    To plot the population data, we’ll use the state_choropleth function. The function requires that the data
    frame to be plotted has a column named region to represent state, and a column named value (the quantity
    to be plotted). Additionally, the entries in the region column must exactly match how the entries are named
    in the region column of the dataset state.map from the choroplethrMaps package.

    The zoom = continental_us_states option will create a map that excludes Hawaii and Alaska.

    library(ggplot2)
    library(choroplethr)
    data(continental_us_states)

    # input the data
    library(readr)
    mex_am <- read_tsv("mexican_american.csv")

    # prepare the data
    mex_am$region <- tolower(mex_am$state)

    https://www.rdocumentation.org/packages/choroplethr/versions/3.6.1/topics/state_choropleth

    122 CHAPTER 6. MAPS

    AL
    AZ AR

    CA

    CO

    CT

    DE

    FL

    GA

    ID

    IL IN
    IA

    KS
    KY

    LA

    ME

    MD

    MA
    MI

    MN

    MS

    MO

    MT

    NE

    NV

    NH

    NJ

    NM

    NY

    NC

    ND

    OH

    OK

    OR

    PA RI

    SC

    SD

    TN

    TX

    UT

    VT

    VA

    WA

    WV

    WI
    WY

    Percent

    [0.4 to 1.0)

    [1.0 to 1.7)

    [1.7 to 2.0)

    [2 to 3)

    [3.0 to 3.8)

    [3.8 to 5.4)

    [5.4 to 9.4)

    [9.4 to 20.0)

    [20.0 to 31.6]

    2010 US Census

    Mexican American Population

    source: https://en.wikipedia.org/wiki/List_of_U.S._states_by_Hispanic_and_Latino_population

    Figure 6.5: Choropleth map of US States

    mex_am$value <- mex_am$percent

    # create the map
    state_choropleth(mex_am,

    num_colors=9,
    zoom = continental_us_states) +

    scale_fill_brewer(palette=”YlOrBr”) +
    labs(title = “Mexican American Population”,

    subtitle = “2010 US Census”,
    caption = “source: https://en.wikipedia.org/wiki/List_of_U.S._states_by_Hispanic_and_Latino_population”,
    fill = “Percent”)

    6.2.2 Data by US county

    Finally, let’s plot data by US counties. We’ll plot the violent crime rate per 1000 individuals for Connecticut
    counties in 2012. Data come from the FBI Uniform Crime Statistics.

    We’ll use the county_choropleth function. Again, the function requires that the data frame to be plotted
    has a column named region and a column named value.

    Additionally, the entries in the region column must be numeric codes and exactly match how the entries are
    given in the region column of the dataset county.map from the choroplethrMaps package.

    6.2. CHOROPLETH MAPS 123

    Our dataset has country names (e.g. fairfield). However, we need region codes (e.g., 9001). We can use the
    county.regions dataset to lookup the region code for each county name.

    Additionally, we’ll use the option reference_map = TRUE to add a reference map from Google Maps.

    library(ggplot2)
    library(choroplethr)
    library(dplyr)

    # enter violent crime rates by county
    crimes_ct <- data.frame(

    county = c(“fairfield”, “hartford”,
    “litchfield”, “middlesex”,
    “new haven”, “new london”,
    “tolland”, “windham”),

    value = c(3.00, 3.32,
    1.02, 1.24,
    4.13, 4.61,
    0.16, 1.60)

    )

    crimes_ct

    ## county value
    ## 1 fairfield 3.00
    ## 2 hartford

    3.32

    ## 3 litchfield

    1.02

    ## 4 middlesex

    1.24

    ## 5 new haven

    4.13

    ## 6 new london

    4.61

    ## 7 tolland

    0.16

    ## 8 windham 1.60

    # obtain region codes for connecticut
    data(county.regions,

    package = “choroplethrMaps”)
    region <- county.regions %>%
    filter(state.name == “connecticut”)

    region

    ## region county.fips.character county.name state.name
    ## 1 9001 09001 fairfield connecticut
    ## 2 9003 09003 hartford connecticut
    ## 3 9005 09005 litchfield connecticut
    ## 4 9007 09007 middlesex connecticut
    ## 5 9009 09009 new haven connecticut
    ## 6 9011 09011 new london connecticut
    ## 7 9013 09013 tolland connecticut
    ## 8 9015 09015 windham connecticut
    ## state.fips.character state.abb
    ## 1 09 CT
    ## 2 09 CT

    124 CHAPTER 6. MAPS

    ## 3 09 CT
    ## 4 09 CT
    ## 5 09 CT
    ## 6 09 CT
    ## 7 09 CT
    ## 8 09 CT

    # join crime data to region code data
    plotdata <- inner_join(crimes_ct,

    region,
    by=c(“county” = “county.name”))

    plotdata

    ## county value region county.fips.character state.name
    ## 1 fairfield 3.00 9001 09001 connecticut
    ## 2 hartford 3.32 9003 09003 connecticut
    ## 3 litchfield 1.02 9005 09005 connecticut
    ## 4 middlesex 1.24 9007 09007 connecticut
    ## 5 new haven 4.13 9009 09009 connecticut
    ## 6 new london 4.61 9011 09011 connecticut
    ## 7 tolland 0.16 9013 09013 connecticut
    ## 8 windham 1.60 9015 09015 connecticut
    ## state.fips.character state.abb
    ## 1 09 CT
    ## 2 09 CT
    ## 3 09 CT
    ## 4 09 CT
    ## 5 09 CT
    ## 6 09 CT
    ## 7 09 CT
    ## 8 09 CT

    # create choropleth map
    county_choropleth(plotdata,

    state_zoom = “connecticut”,
    reference_map = TRUE,
    num_colors = 8) +

    scale_fill_brewer(palette=”YlOrRd”) +
    labs(title = “Connecticut Violent Crime Rates”,

    subtitle = “FBI 2012 data”,
    caption = “source: https://ucr.fbi.gov”,
    fill = “Violent Crime\n Rate Per 1000”)

    See the choroplethr help for more details.

    R provides many ways to create chropleth maps. The choroplethr package is just one route.
    The tmap package provides another. A google search is sure to find others.

    https://cran.r-project.org/web/packages/choroplethr/choroplethr

    https://cran.r-project.org/web/packages/tmap/vignettes/tmap-getstarted.html

    6.2. CHOROPLETH MAPS 125

    Violent Crime
    Rate Per

    1000

    0.16
    1.02
    1.24

    1.6

    3
    3.32
    4.13
    4.61

    FBI 2012 data

    Connecticut Violent Crime Rates

    source: https://ucr.fbi.gov

    Figure 6.6: Choropleth map of violent crimes by Connecticut counties

    126 CHAPTER 6. MAPS

    Chapter 7

    Time-dependent graphs

    A graph can be a powerful vehicle for displaying change over time. The most common time-dependent graph
    is the time series line graph. Other options include the dumbbell charts and the slope graph.

    7.1 Time series

    A time series is a set of quantitative values obtained at successive time points. The intervals between time
    points (e.g., hours, days, weeks, months, or years) are usually equal.

    Consider the Economics time series that come with the ggplot2 package. It contains US monthly economic
    data collected from January 1967 thru January 2015. Let’s plot personal savings rate (psavert). We can do
    this with a simple line plot.

    library(ggplot2)
    ggplot(economics, aes(x = date, y = psavert)) +
    geom_line() +
    labs(title = “Personal Savings Rate”,

    x = “Date”,
    y = “Personal Savings Rate”)

    127

    128 CHAPTER 7. TIME-DEPENDENT GRAPHS

    5
    10
    15

    1970 1980 1990 2000 2010

    Date

    P
    e

    rs
    o

    n
    a

    l

    S
    a

    vi

    n
    g

    s
    R

    a
    te

    Personal Savings Rate

    The scale_x_date function can be used to reformat dates. In the graph below, tick marks appear every
    5 years and dates are presented in MMM-YY format. Additionally, the time series line is given an off-red
    color and made thicker, a trend line (loess) and titles are added, and the theme is simplified.

    library(ggplot2)
    library(scales)
    ggplot(economics, aes(x = date, y = psavert)) +
    geom_line(color = “indianred3”,

    size=1 ) +
    geom_smooth() +
    scale_x_date(date_breaks = ‘5 years’,

    labels = date_format(“%b-%y”)) +
    labs(title = “Personal Savings Rate”,

    subtitle = “1967 to 2015”,
    x = “”,
    y = “Personal Savings Rate”) +

    theme_minimal()

    7.1. TIME SERIES 129

    5
    10
    15

    Jan−70 Jan−75 Jan−80 Jan−85 Jan−90 Jan−95 Jan−00 Jan−05 Jan−10 Jan−15

    P
    e
    rs
    o
    n
    a
    l S
    a
    vi
    n
    g
    s
    R
    a
    te

    1967 to 2015

    Personal Savings Rate

    When plotting time series, be sure that the date variable is class date and not class character. See

    date

    values for more details.

    Let’s close this section with a multivariate time series (more than one series). We’ll compare closing prices
    for Apple and Facebook from Jan 1, 2018 to July 31, 2018.

    # multivariate time series

    # one time install
    # install.packages(“quantmod”)

    library(quantmod)
    library(dplyr)

    # get apple (AAPL) closing prices
    apple <- getSymbols("AAPL",

    return.class = “data.frame”,
    from=”2018-01-01″)

    apple <- AAPL %>%
    mutate(Date = as.Date(row.names(.))) %>%
    select(Date, AAPL.Close) %>%
    rename(Close = AAPL.Close) %>%
    mutate(Company = “Apple”)

    # get facebook (FB) closing prices
    facebook <- getSymbols("FB",

    https://www.statmethods.net/input/dates.html

    https://www.statmethods.net/input/dates.html

    130 CHAPTER 7. TIME-DEPENDENT GRAPHS

    return.class = “data.frame”,
    from=”2018-01-01″)

    facebook <- FB %>%
    mutate(Date = as.Date(row.names(.))) %>%
    select(Date, FB.Close) %>%
    rename(Close = FB.Close) %>%
    mutate(Company = “Facebook”)

    # combine data for both companies
    mseries <- rbind(apple, facebook)

    # plot data
    library(ggplot2)
    ggplot(mseries,

    aes(x=Date, y= Close, color=Company)) +
    geom_line(size=1) +
    scale_x_date(date_breaks = ‘1 month’,

    labels = scales::date_format(“%b”)) +
    scale_y_continuous(limits = c(150, 220),

    breaks = seq(150, 220, 10),
    labels = scales::dollar) +

    labs(title = “NASDAQ Closing Prices”,
    subtitle = “Jan – Aug 2018”,
    caption = “source: Yahoo Finance”,
    y = “Closing Price”) +

    theme_minimal() +
    scale_color_brewer(palette = “Dark2”)

    You can see the huge hit that Facebook took at the end of July.

    7.2 Dummbbell charts

    Dumbbell charts are useful for displaying change between two time points for several groups or observations.
    The geom_dumbbell function from the ggalt package is used.

    Using the gapminder dataset let’s plot the change in life expectancy from 1952 to 2007 in the Americas. The
    dataset is in long format. We will need to convert it to wide format in order to create the dumbbell plot

    library(ggalt)
    library(tidyr)
    library(dplyr)

    # load data
    data(gapminder, package = “gapminder”)

    # subset data
    plotdata_long <- filter(gapminder,

    continent == “Americas” &
    year %in% c(1952, 2007)) %>%

    select(country, year, lifeExp)

    7.2. DUMMBBELL CHARTS 131

    $

    150

    $160

    $170

    $180

    $190

    $200

    $210

    $220

    Jan Feb Mar Apr May Jun Jul Aug Sep

    Date

    C
    lo

    si
    n

    g
    P

    ri
    ce Company

    Apple

    Facebook

    Jan − Aug 2018

    NASDAQ Closing Prices

    source: Yahoo Finance

    Figure 7.1: Multivariate time series

    132 CHAPTER 7. TIME-DEPENDENT GRAPHS

    Argentina
    Bolivia
    Brazil

    Canada
    Chile

    Colombia

    Costa Rica

    Cuba
    Dominican Republic

    Ecuador

    El Salvador

    Guatemala

    Haiti

    Honduras

    Jamaica
    Mexico

    Nicaragua

    Panama

    Paraguay
    Peru

    Puerto Rico
    Trinidad and Tobago

    United States
    Uruguay

    Venezuela
    40 50 60 70 80

    y1952

    co
    u
    n
    tr
    y

    Figure 7.2: Simple dumbbell chart

    # convert data to wide format
    plotdata_wide <- spread(plotdata_long, year, lifeExp) names(plotdata_wide) <- c("country", "y1952", "y2007")

    # create dumbbell plot
    ggplot(plotdata_wide, aes(y = country,

    x = y1952,
    xend = y2007)) +

    geom_dumbbell()

    The graph will be easier to read if the countries are sorted and the points are sized and colored. In the next
    graph, we’ll sort by 1952 life expectancy, and modify the line and point size, color the points, add titles and
    labels, and simplify the theme.

    # create dumbbell plot
    ggplot(plotdata_wide,

    aes(y = reorder(country, y1952),
    x = y1952,
    xend = y2007)) +

    geom_dumbbell(size = 1.2,
    size_x = 3,
    size_xend = 3,
    colour = “grey”,

    7.3. SLOPE GRAPHS 133

    colour_x = “blue”,
    colour_xend = “red”) +

    theme_minimal() +
    labs(title = “Change in Life Expectancy”,

    subtitle = “1952 to 2007”,
    x = “Life Expectancy (years)”,
    y = “”)

    Haiti
    Bolivia

    Honduras
    Guatemala
    Nicaragua

    Peru
    El Salvador

    Dominican Republic
    Ecuador

    Colombia
    Mexico

    Brazil
    Chile

    Venezuela
    Panama

    Costa Rica
    Jamaica

    Trinidad and Tobago
    Cuba

    Argentina
    Paraguay

    Puerto Rico
    Uruguay

    United States
    Canada

    40 50 60 70 80
    Life Expectancy (years)

    1952 to 2007

    Change in Life Expectancy

    It is easier to discern patterns here. For example Haiti started with the lowest life expectancy in 1952 and
    still has the lowest in 2007. Paraguay started relatively high by has made few gains.

    7.3 Slope graphs

    When there are several groups and several time points, a slope graph can be helpful. Let’s plot life expectancy
    for six Central American countries in 1992, 1997, 2002, and 2007. Again we’ll use the gapminder data.
    To create a slope graph, we’ll use the newggslopegraph function from the CGPfunctions package.
    The newggslopegraph function parameters are (in order)

    • data frame

    • time variable (which must be a factor)

    • numeric variable to be plotted

    https://www.rdocumentation.org/packages/CGPfunctions/versions/0.4/topics/newggslopegraph

    134 CHAPTER 7. TIME-DEPENDENT GRAPHS

    • and grouping variable (creating one line per group).

    library(CGPfunctions)

    # Select Central American countries data
    # for 1992, 1997, 2002, and 2007

    df <- gapminder %>%
    filter(year %in% c(1992, 1997, 2002, 2007) &

    country %in% c(“Panama”, “Costa Rica”,
    “Nicaragua”, “Honduras”,
    “El Salvador”, “Guatemala”,
    “Belize”)) %>%

    mutate(year = factor(year),
    lifeExp = round(lifeExp))

    # create slope graph

    newggslopegraph(df, year, lifeExp, country) +
    labs(title=”Life Expectancy by Country”,

    subtitle=”Central America”,
    caption=”source: gapminder”)

    Costa Rica
    El Salvador
    Guatemala
    Honduras
    Nicaragua
    Panama
    Costa Rica
    El Salvador
    Guatemala
    Honduras
    Nicaragua

    Panama76

    77
    78
    79
    67
    70
    71
    72
    63

    66

    69
    70
    66
    68
    69
    70
    66
    68
    71
    73
    72
    74
    75
    76

    1992 1997 2002 2007

    Central America

    Life Expectancy by Country

    source: gapminder

    In the graph above, Costa Rica has the highest life expectancy across the range of years studied. Guatemala
    has the lowest, and caught up with Honduras (also low at 69) in 2002.

    7.4. AREA CHARTS 135

    7.4 Area Charts

    A simple area chart is basically a line graph, with a fill from the line to the x-axis.

    # basic area chart
    ggplot(economics, aes(x = date, y = psavert)) +
    geom_area(fill=”lightblue”, color=”black”) +
    labs(title = “Personal Savings Rate”,

    x = “Date”,
    y = “Personal Savings Rate”)
    0
    5
    10
    15
    1970 1980 1990 2000 2010
    Date
    P
    e
    rs
    o
    n
    a
    l S
    a
    vi
    n
    g
    s
    R
    a
    te
    Personal Savings Rate

    A stacked area chart can be used to show differences between groups over time. Consider the uspopage
    dataset from the gcookbook package. We’ll plot the age distribution of the US population from 1900 and
    2002.

    # stacked area chart
    data(uspopage, package = “gcookbook”)
    ggplot(uspopage, aes(x = Year,

    y = Thousands,
    fill = AgeGroup)) +

    geom_area() +
    labs(title = “US Population by age”,

    x = “Year”,
    y = “Population in Thousands”)

    It is best to avoid scientific notation in your graphs. How likely is it that the average reader will know that

    136 CHAPTER 7. TIME-DEPENDENT GRAPHS

    0e+00
    1e+05

    2e+05

    3e+05

    1900 1925 1950 1975 2000

    Year

    P
    o

    p
    u

    l

    a
    tio

    n
    in

    T
    h

    o
    u

    sa
    n

    d
    s

    AgeGroup

    <5

    5−14

    15−24

    25−34

    35−44

    45−54

    55−64

    >64

    US Population by age

    Figure 7.3: Stacked area chart

    7.4. AREA CHARTS 137

    3e+05 means 300,000,000? It is easy to change the scale in ggplot2. Simply divide the Thousands variable
    by 1000 and report it as Millions. While we are at it, let’s

    • create black borders to highlight the difference between groups
    • reverse the order the groups to match increasing age
    • improve labeling
    • choose a different color scheme
    • choose a simpler theme.

    The levels of the AgeGroup variable can be reversed using the fct_rev function in the forcats package.

    # stacked area chart
    data(uspopage, package = “gcookbook”)
    ggplot(uspopage, aes(x = Year,

    y = Thousands/1000,
    fill = forcats::fct_rev(AgeGroup))) +

    geom_area(color = “black”) +
    labs(title = “US Population by age”,

    subtitle = “1900 to 2002”,
    caption = “source: U.S. Census Bureau, 2003, HS-3”,
    x = “Year”,
    y = “Population in Millions”,
    fill = “Age Group”) +

    scale_fill_brewer(palette = “Set2”) +
    theme_minimal()

    0

    100

    200

    300

    1900 1925 1950 1975 2000
    Year
    P
    o
    p
    u
    la
    tio
    n
    in

    M
    ill

    i

    o
    n

    s

    Age Group

    >64
    55−64
    45−54
    35−44
    25−34
    15−24
    5−14
    <5

    1900 to 2002

    US Population by age

    source: U.S. Census Bureau, 2003, HS−3

    Apparently, the number of young children have not changed very much in the past 100 years.

    138 CHAPTER 7. TIME-DEPENDENT GRAPHS

    Stacked area charts are most useful when interest is on both (1) group change over time and (2) overall
    change over time. Place the most important groups at the bottom. These are the easiest to interpret in this
    type of plot.

    Chapter 8

    Statistical Models

    A statistical model describes the relationship between one or more explanatory variables and one or more
    response variables. Graphs can help to visualize these relationships. In this section we’ll focus on models
    that have a single response variable that is either quantitative (a number) or binary (yes/no).

    8.1 Correlation plots

    Correlation plots help you to visualize the pairwise relationships between a set of quantitative variables by
    displaying their correlations using color or shading.

    Consider the Saratoga Houses dataset, which contains the sale price and characteristics of Saratoga County,
    NY homes in 2006. In order to explore the relationships among the quantitative variables, we can calculate
    the Pearson Product-Moment correlation coefficients.

    data(SaratogaHouses, package=”mosaicData”)

    # select numeric variables
    df <- dplyr::select_if(SaratogaHouses, is.numeric)

    # calulate the correlations
    r <- cor(df, use="complete.obs") round(r,2)

    ## price lotSize age landValue livingArea pctCollege

    bed

    rooms

    ## price 1.00 0.16 -0.19 0.58 0.71 0.20 0.40
    ## lotSize 0.16 1.00 -0.02 0.06 0.16 -0.03 0.11
    ## age -0.19 -0.02 1.00 -0.02 -0.17 -0.04 0.03
    ## landValue 0.58 0.06 -0.02 1.00 0.42 0.23 0.20
    ## livingArea 0.71 0.16 -0.17 0.42 1.00 0.21 0.66
    ## pctCollege 0.20 -0.03 -0.04 0.23 0.21 1.00 0.16
    ## bedrooms 0.40 0.11 0.03 0.20 0.66 0.16 1.00
    ## fireplaces 0.38 0.09 -0.17 0.21 0.47 0.25 0.28
    ## bathrooms 0.60 0.08 -0.36 0.30 0.72 0.18 0.46
    ## rooms 0.53 0.14 -0.08 0.30 0.73 0.16 0.67
    ## fireplaces bathrooms rooms
    ## price 0.38 0.60 0.53
    ## lotSize 0.09 0.08 0.14

    139

    http://www.statisticshowto.com/probability-and-statistics/correlation-coefficient-formula/

    140 CHAPTER 8. STATISTICAL MODELS

    price

    lotSize

    age

    landValue

    livingArea

    pctCollege

    bedrooms

    fireplaces

    bathrooms

    rooms

    pr
    ice

    lo
    tS

    ize ag
    e

    la
    nd

    Va
    lu
    e

    liv
    in
    gA

    re
    a

    pc
    tC

    ol
    le
    ge

    be
    dr

    o

    o
    m

    s

    fir
    ep

    la
    ce

    s

    ba
    th

    ro
    om

    s
    ro
    om
    s

    −1.0

    0.5

    0.0
    0.5

    1.0
    Corr

    Figure 8.1: Correlation matrix

    ## age -0.17 -0.36 -0.08
    ## landValue 0.21 0.30 0.30
    ## livingArea 0.47 0.72 0.73
    ## pctCollege 0.25 0.18 0.16
    ## bedrooms 0.28 0.46 0.67
    ## fireplaces 1.00 0.44 0.32
    ## bathrooms 0.44 1.00 0.52
    ## rooms 0.32 0.52 1.00

    The ggcorrplot function in the ggcorrplot package can be used to visualize these correlations.

    By default,

    it creates a ggplot2 graph were darker red indicates stronger positive correlations, darker blue indicates
    stronger negative correlations and white indicates no correlation.

    library(ggplot2)
    library(ggcorrplot)
    ggcorrplot(r)

    From the graph, an increase in number of bathrooms and living area are associated with increased price,
    while older homes tend to be less expensive. Older homes also tend to have fewer bathrooms.

    The ggcorrplot function has a number of options for customizing the output. For example

    • hc.order = TRUE reorders the variables, placing variables with similar correlation patterns together.

    https://www.rdocumentation.org/packages/ggcorrplot/versions/0.1.1/topics/ggcorrplot

    8.2. LINEAR REGRESSION 141

    0.28 0.47 0.32 0.38 0.44 0.21 0.25 0.09 −0.17

    0.66 0.67 0.4 0.46 0.2 0.16 0.11 0.03

    0.73 0.71 0.72 0.42 0.21 0.16 −0.17

    0.53 0.52 0.3 0.16 0.14 −0.08

    0.6 0.58 0.2 0.16 −0.19

    0.3 0.18 0.08 −0.36

    0.23 0.06

    −0.02

    −0.03−0.04

    −0.02
    fireplaces
    bedrooms
    livingArea
    rooms
    price
    bathrooms
    landValue
    pctCollege
    lotSize
    be
    dr
    oo
    m
    s
    liv
    in
    gA
    re
    a
    ro
    om

    s
    pr

    ice
    ba
    th
    ro
    om
    s
    la
    nd
    Va
    lu
    e
    pc
    tC
    ol
    le
    ge
    lo
    tS
    ize ag
    e
    −1.0

    −0.5

    0.0
    0.5
    1.0
    Corr

    Figure 8.2: Sorted lower triangel correlation matrix with options

    • type = “lower” plots the lower portion of the correlation matrix.
    • lab = TRUE overlays the correlation coefficients (as text) on the plot.

    ggcorrplot(r,
    hc.order = TRUE,
    type = “lower”,
    lab = TRUE)

    These, and other options, can make the graph easier to read and interpret.

    8.2 Linear Regression

    Linear regression allows us to explore the relationship between a quantitative response variable and an
    explanatory variable while other variables are held constant.
    Consider the prediction of home prices in the Saratoga dataset from lot size (square feet), age (years), land
    value (1000s dollars), living area (square feet), number of bedrooms and bathrooms and whether the home
    is on the waterfront or not.

    data(SaratogaHouses, package=”mosaicData”)
    houses_lm <- lm(price ~ lotSize + age + landValue +

    livingArea + bedrooms + bathrooms +

    https://www.rdocumentation.org/packages/ggcorrplot/versions/0.1.1/topics/ggcorrplot

    142 CHAPTER 8. STATISTICAL MODELS

    Table 8.1: Linear Regression results

    term estimate std.error statistic p.value
    (Intercept) 139878.80 16472.93 8.49 0.00
    lotSize 7500.79 2075.14 3.61 0.00
    age -136.04 54.16 -2.51 0.01
    landValue 0.91 0.05 19.84 0.00
    livingArea 75.18 4.16 18.08 0.00
    bedrooms -5766.76 2388.43 -2.41 0.02
    bathrooms 24547.11 3332.27 7.37 0.00
    waterfrontNo -120726.62 15600.83 -7.74 0.00

    waterfront,
    data = SaratogaHouses)

    From the results, we can estimate that an increase of one square foot of living area is associated with a home
    price increase of $75, holding the other variables constant. Additionally, waterfront home cost approximately
    $120,726 more than non-waterfront home, again controlling for the other variables in the model.
    The visreg package provides tools for visualizing these conditional relationships.
    The visreg function takes (1) the model and (2) the variable of interest and plots the conditional relationship,
    controlling for the other variables. The option gg = TRUE is used to produce a ggplot2 graph.

    # conditional plot of price vs. living area
    library(ggplot2)
    library(visreg)
    visreg(houses_lm, “livingArea”, gg = TRUE)

    The graph suggests that, after controlling for lot size, age, living area, number of bedrooms and bathrooms,
    and waterfront location, sales price increases with living area in a linear fashion.

    How does visreg work? The fitted model is used to predict values of the response variable,
    across the range of the chosen explanatory variable. The other variables are set to their median
    value (for numeric variables) or most frequent category (for categorical variables). The user

    can

    override these defaults and chose specific values for any variable in the model.

    Continuing the example, the price difference between waterfront and non-waterfront homes is plotted, con-
    trolling for the other seven variables. Since a ggplot2 graph is produced, other ggplot2 functions can be
    added to customize the graph.

    # conditional plot of price vs. waterfront location
    visreg(houses_lm, “waterfront”, gg = TRUE) +
    scale_y_continuous(label = scales::dollar) +
    labs(title = “Relationship between price and location”,

    subtitle = “controlling for lot size, age, land value, bedrooms and bathrooms”,
    caption = “source: Saratoga Housing Data (2006)”,
    y = “Home Price”,
    x = “Waterfront”)

    There are far fewer homes on the water, and they tend to be more expensive (even controlling for size, age,
    and land value).
    The vizreg package provides a wide range of plotting capabilities. See Visualization of regression models
    using visreg for details.

    http://pbreheny.github.io/visreg/index.html

    https://web.as.uky.edu/statistics/users/pbreheny/publications/visreg

    https://web.as.uky.edu/statistics/users/pbreheny/publications/visreg

    8.2. LINEAR REGRESSION 143

    0e+00
    2e+05

    4e+05

    6e+05

    1000 2000 3000 4000 5000

    livingArea

    p
    ri

    ce

    Figure 8.3: Conditional plot of living area and price

    144 CHAPTER 8. STATISTICAL MODELS

    $0
    $200,000

    $400,000

    $600,000

    Yes

    No

    Waterfront

    H
    o
    m
    e

    P
    ri

    ce

    controlling for lot size, age, land value, bedrooms and bathrooms

    Relationship between price and location

    source: Saratoga Housing Data (2006)

    Figure 8.4: Conditional plot of location and price

    8.3. LOGISTIC REGRESSION 145

    8.3 Logistic regression

    Logistic regression can be used to explore the relationship between a binary response variable and an ex-
    planatory variable while other variables are held constant. Binary response variables have two levels (yes/no,
    lived/died, pass/fail, malignant/benign). As with linear regression, we can use the visreg package to visualize
    these relationships.

    Using the CPS85 data let’s predict the log-odds of being married, given one’s sex, age, race and job sector.

    # fit logistic model for predicting
    # marital status: married/single
    data(CPS85, package = “mosaicData”)
    cps85_glm <- glm(married ~ sex + age + race + sector,

    family=”binomial”,
    data=CPS85)

    Using the fitted model, let’s visualize the relationship between age and the probability of being married,
    holding the other variables constant. Again, the visreg function takes the model and the variable of interest
    and plots the conditional relationship, controlling for the other variables. The option gg = TRUE is used to
    produce a ggplot2 graph. The scale = “response” option creates a plot based on a probability (rather
    than log-odds) scale.

    # plot results
    library(ggplot2)
    library(visreg)
    visreg(cps85_glm, “age”,

    gg = TRUE,
    scale=”response”) +

    labs(y = “Prob(Married)”,
    x = “Age”,
    title = “Relationship of age and marital status”,
    subtitle = “controlling for sex, race, and job sector”,
    caption = “source: Current Population Survey 1985”)

    http://pbreheny.github.io/visreg/index.html

    146 CHAPTER 8. STATISTICAL MODELS

    0.2

    0.4

    0.6

    0.8

    20 30 40 50 60
    Age
    P
    ro

    b
    (M

    a
    rr

    i

    e
    d

    )

    controlling for sex, race, and job sector

    Relationship of age and marital status

    source: Current Population Survey 1985

    The probability of being married is estimated to be roughly 0.5 at age 20 and decreases to 0.1 at age 60,
    controlling for the other variables.

    We can create multiple conditional plots by adding a by option. For example, the following code will plot
    the probability of being married by age, seperately for men and women, controlling for race and job sector.

    # plot results
    library(ggplot2)
    library(visreg)
    visreg(cps85_glm, “age”,

    by = “sex”,
    gg = TRUE,
    scale=”response”) +

    labs(y = “Prob(Married)”,
    x = “Age”,
    title = “Relationship of age and marital status”,
    subtitle = “controlling for race and job sector”,
    caption = “source: Current Population Survey 1985”)

    8.4. SURVIVAL PLOTS 147

    F M

    20 30 40 50 60 20 30 40 50 60

    0.2
    0.4
    0.6
    0.8
    Age
    P
    ro
    b
    (M
    a
    rr
    ie
    d
    )
    sex
    F
    M

    controlling for race and job sector

    Relationship of age and marital status
    source: Current Population Survey 1985

    In this data, the probability of marriage is very similar for men and women.

    8.4 Survival plots

    In many research settings, the response variable is the time to an event. This is frequently true in healthcare
    research, where we are interested in time to recovery, time to death, or time to relapse.

    If the event has not occurred for an observation (either because the study ended or the patient dropped out)
    the observation is said to be censored.

    The NCCTG Lung Cancer dataset in the survival package provides data on the survival times of patients
    with advanced lung cancer following treatment. The study followed patients for up 34 months.

    The outcome for each patient is measured by two variables

    • time – survival time in days

    • status – 1=censored, 2=dead

    Thus a patient with time=305 & status=2 lived 305 days following treatment. Another patient with time=400
    & status=1, lived at least 400 days but was then lost to the study. A patient with time=1022 & status=1,
    survived to the end of the study (34 months).

    A survival plot (also called a Kaplan-Meier Curve) can be used to illustrates the probability that an individual
    survives up to and including time t.

    148 CHAPTER 8. STATISTICAL MODELS

    # plot survival curve
    library(survival)
    library(survminer)

    data(lung)
    sfit <- survfit(Surv(time, status) ~ 1, data=lung) ggsurvplot(sfit,

    title=”Kaplan-Meier curve for lung cancer survival”)

    ++

    +++++++++++++++++++++++++

    +++++++++++

    +++++++

    ++ +++++ +

    + ++

    + + ++

    0.00

    0.25
    0.50
    0.75
    1.00

    0 250 500 750 1000
    Time

    S
    u

    rv
    iv

    a
    l p

    ro
    b

    a
    b

    ili
    ty

    Strata + All

    Kaplan−Meier curve for lung cancer survival

    Roughly 50% of patients are still alive 300 days post treatment. Run summary(sfit) for more details.
    It is frequently of great interest whether groups of patients have the same survival probabilities. In the next
    graph, the survival curve for men and women are compared.

    # plot survival curve for men and women
    sfit <- survfit(Surv(time, status) ~ sex, data=lung) ggsurvplot(sfit,

    conf.int=TRUE,
    pval=TRUE,
    legend.labs=c(“Male”, “Female”),
    legend.title=”Sex”,
    palette=c(“cornflowerblue”, “indianred3″),
    title=”Kaplan-Meier Curve for lung cancer survival”,
    xlab = “Time (days)”)

    The ggsurvplot has many options. In particular, conf.int provides confidence intervals, while pval pro-
    vides a log-rank test comparing the survival curves.

    https://www.rdocumentation.org/packages/survminer/versions/0.4.2/topics/ggsurvplot

    8.4. SURVIVAL PLOTS 149

    +
    +++++

    +++++++++++

    ++ ++

    + + ++

    ++
    ++++

    ++++++++++++++++
    +++++

    +
    ++++ +

    +
    + +

    p = 0.0013

    0.00
    0.25
    0.50
    0.75
    1.00

    0 250 500 750 1000
    Time (days)

    S
    u
    rv
    iv
    a
    l p
    ro
    b
    a
    b
    ili
    ty

    Sex + +Male Female

    Kaplan−Meier Curve for lung cancer survival

    Figure 8.5: Comparison of survival curve

    150 CHAPTER 8. STATISTICAL MODELS

    The p-value (0.0013) provides strong evidence that men and women have different survival probabilities
    following treatment.

    8.5 Mosaic plots

    Mosaic charts can display the relationship between categorical variables using rectangles whose areas repre-
    sent the proportion of cases for any given combination of levels. The color of the tiles can also indicate the
    degree relationship among the variables.

    Although mosaic charts can be created with ggplot2 using the ggmosaic package, I recommend using the
    vcd package instead. Although it won’t create ggplot2 graphs, the package provides a more comprehensive
    approach to visualizing categorical data.

    People are fascinated with the Titanic (or is it with Leo?). In the Titanic disaster, what role did sex and
    class play in survival? We can visualize the relationship between these three categorical variables using the
    code below.

    # input data

    library(readr)
    titanic <- read_csv("titanic.csv")

    # create a table
    tbl <- xtabs(~Survived + Class + Sex, titanic) ftable(tbl)

    ## Sex Female Male
    ## Survived Class
    ## No 1st 4 118
    ## 2nd 13 154
    ## 3rd 106 422
    ## Crew 3 670
    ## Yes 1st 141 62
    ## 2nd 93 25
    ## 3rd 90 88
    ## Crew 20 192

    # create a mosaic plot from the table
    library(vcd)
    mosaic(tbl,

    main = “Titanic data”)

    The size of the tile is proportional to the percentage of cases in that combination of levels. Clearly more
    passengers perished, than survived. Those that perished were primarily 3rd class male passengers and male
    crew (the largest group).

    If we assume that these three variables are independent, we can examine the residuals from the model
    and shade the tiles to match. In the graph below, dark blue represents more cases than expected given
    independence. Dark red represents less cases than expected if independence holds.

    mosaic(tbl,
    shade = TRUE,
    legend = TRUE,
    labeling_args = list(set_varnames = c(Sex = “Gender”,

    Survived = “Survived”,

    https://cran.r-project.org/web/packages/ggmosaic/vignettes/ggmosaic.html

    8.5. MOSAIC PLOTS 151

    Titanic data

    Class

    S
    u
    rv
    iv
    e
    d

    S
    e
    x

    Y
    e

    s

    M
    a

    le
    F

    e
    m

    a
    le

    N
    o

    1st 2nd 3rd

    Crew

    M
    a
    le
    F
    e
    m
    a
    le

    Figure 8.6: Basic mosaic plot

    152 CHAPTER 8. STATISTICAL MODELS

    −11

    −4

    −2

    0
    2
    4

    25

    Pearson
    residuals:

    p−value =
    < 2.22e−16

    Titanic data
    Passenger Class

    S
    u
    rv
    iv
    e
    d

    G
    e

    n
    d

    e
    r

    Y
    e
    s

    M
    F

    N
    o
    1st 2nd 3rd Crew
    M
    F

    Figure 8.7: Mosaic plot with shading

    Class = “Passenger Class”)),
    set_labels = list(Survived = c(“No”, “Yes”),

    Class = c(“1st”, “2nd”, “3rd”, “Crew”),
    Sex = c(“F”, “M”)),

    main = “Titanic data”)

    We can see that if class, gender, and survival are independent, we are seeing many more male crew perishing,
    and 1st, 2nd and 3rd class females surviving than would be expected. Conversely, far fewer 1st class passen-
    gers (both male and female) died than would be expected by chance. Thus the assumption of independence
    is rejected. (Spoiler alert: Leo doesn’t make it.)

    For complicated tables, labels can easily overlap. See labeling_border, for plotting options.

    https://www.rdocumentation.org/packages/vcd/versions/1.4-4/topics/labeling_border

    Chapter 9

    Other Graphs

    Graphs in this chapter can be very useful, but don’t fit in easily within the other chapters.

    9.1 3-D Scatterplot

    The ggplot2 package and its extensions can’t create a 3-D plot. However, you can create a 3-D scatterplot
    with the scatterplot3d function in the scatterplot3d package.
    Let’s say that we want to plot automobile mileage vs. engine displacement vs. car weight using the data in
    the mtcars dataframe.

    # basic 3-D scatterplot

    library(scatterplot3d)

    with(mtcars, {

    scatterplot3d(x = disp,
    y = wt,
    z = mpg,
    main=”3-D Scatterplot Example 1″)

    })

    Now lets, modify the graph by replacing the points with filled blue circles, add drop lines to the x-y plane,
    and create more meaningful labels.

    library(scatterplot3d)
    with(mtcars, {
    scatterplot3d(x = disp,

    y = wt,
    z = mpg,
    # filled blue circles
    color=”blue”,
    pch=19,
    # lines to the horizontal plane
    type = “h”,
    main = “3-D Scatterplot Example 2”,
    xlab = “Displacement (cu. in.)”,
    ylab = “Weight (lb/1000)”,
    zlab = “Miles/(US) Gallon”)

    })
    153

    154 CHAPTER 9. OTHER GRAPHS

    3−D Scatterplot Example 1

    0 100 200 300 400 500

    1
    0

    1
    5

    2
    0

    2
    5

    3
    0

    3
    5

    1
    2
    3
    4
    5
    6

    disp

    w
    t

    m
    p

    g

    Figure 9.1: Basic 3-D scatterplot

    9.1. 3-D SCATTERPLOT 155

    3−D Scatterplot Example 2

    0 100 200 300 400 500
    1
    0
    1
    5
    2
    0
    2
    5
    3
    0
    3
    5
    1
    2
    3
    4
    5
    6

    Displacement (cu. in.)

    W
    e

    ig
    h

    t

    (l
    b

    /1
    0

    0
    0

    )

    M
    ile

    s/
    (U

    S
    )

    G
    a

    l

    lo
    n

    Figure 9.2: 3-D scatterplot with vertical lines

    156 CHAPTER 9. OTHER GRAPHS

    Next, let’s label the points. We can do this by saving the results of the scatterplot3d function to an object,
    using the xyz.convert function to convert coordinates from 3-D (x, y, z) to 2D-projections (x, y), and apply
    the text function to add labels to the graph.

    library(scatterplot3d)
    with(mtcars, {

    s3d <- scatterplot3d( x = disp, y = wt, z = mpg, color = "blue", pch = 19, type = "h", main = "3-D Scatterplot Example 3", xlab = "Displacement (cu. in.)", ylab = "Weight (lb/1000)", zlab = "Miles/(US) Gallon")

    # convert 3-D coords to 2D projection
    s3d.coords <- s3d$xyz.convert(disp, wt, mpg)

    # plot text with 50% shrink and place to right of points
    text(s3d.coords$x,

    s3d.coords$y,
    labels = row.names(mtcars),
    cex = .5,
    pos = 4)

    })

    Almost there. As a final step, we will add information on the number of cylinders in each car. To do this,
    we’ll add a column to the mtcars dataframe indicating the color for each point. For good measure, we will
    shorten the y-axis, change the drop lines to dashed lines, and add a legend.

    library(scatterplot3d)

    # create column indicating point color
    mtcars$pcolor[mtcars$cyl == 4] <- "red" mtcars$pcolor[mtcars$cyl == 6] <- "blue" mtcars$pcolor[mtcars$cyl == 8] <- "darkgreen"

    with(mtcars, {
    s3d <- scatterplot3d(

    x = disp,
    y = wt,
    z = mpg,
    color = pcolor,
    pch = 19,
    type = “h”,
    lty.hplot = 2,
    scale.y = .75,
    main = “3-D Scatterplot Example 4”,
    xlab = “Displacement (cu. in.)”,
    ylab = “Weight (lb/1000)”,
    zlab = “Miles/(US) Gallon”)

    9.1. 3-D SCATTERPLOT 157

    3−D Scatterplot Example 3

    0 100 200 300 400 500
    1
    0
    1
    5
    2
    0
    2
    5
    3
    0
    3
    5
    1
    2
    3
    4
    5
    6
    Displacement (cu. in.)
    W
    e
    ig
    h
    t
    (l
    b
    /1
    0
    0
    0
    )
    M
    ile
    s/
    (U
    S
    )
    G
    a
    llo
    n

    Mazda RX4

    Mazda RX4 Wag

    Datsun 710

    Hornet 4

    Drive

    Hornet Sportabout

    Valiant

    Duster 360

    Merc 240D

    Merc 230

    Merc 280

    Merc 280C Merc 450SE

    Merc 450SL

    Merc 450SLC

    Cadillac Fleetwood

    Lincoln Continental

    Chrysler Imperial

    Fiat 128

    Honda Civic

    Toyota Corolla

    Toyota Corona

    Dodge Challenger

    AMC Javelin

    Camaro Z28

    Pontiac Firebird

    Fiat X1−9

    Porsche 914−2

    Lotus Europa

    Ford Pantera L

    Ferrari Dino

    Maserati Bora

    Volvo 142E

    Figure 9.3: 3-D scatterplot with vertical lines and point labels

    158 CHAPTER 9. OTHER GRAPHS

    s3d.coords <- s3d$xyz.convert(disp, wt, mpg) text(s3d.coords$x,

    s3d.coords$y,
    labels = row.names(mtcars),
    pos = 4,
    cex = .5)

    # add the legend
    legend(#location

    “topleft”,
    inset=.05,
    # suppress legend box, shrink text

    50%

    bty=”n”,
    cex=.5,
    title=”Number of Cylinders”,
    c(“4”, “6”, “8”),
    fill=c(“red”, “blue”, “darkgreen”))

    })

    9.2. BIPLOTS 159

    3−D Scatterplot Example 4

    0 100 200 300 400 500
    1
    0
    1
    5
    2
    0
    2
    5
    3
    0
    3
    5

    1
    2

    3
    4

    5
    6

    Displacement (cu. in.)
    W

    e
    ig

    h
    t

    (l
    b
    /1
    0
    0
    0
    )
    M
    ile
    s/
    (U
    S
    )
    G
    a
    llo
    n

    Mazda RX4
    Mazda RX4 Wag

    Datsun 710 Hornet 4 Drive

    Hornet Sportabout
    Valiant

    Duster 360
    Merc 240D
    Merc 230
    Merc 280

    Merc 280C Merc 450SEMerc 450SL

    Merc 450SLC

    Cadillac FleetwoodLincoln Continental

    Chrysler Imperial
    Fiat 128
    Honda Civic
    Toyota Corolla
    Toyota Corona
    Dodge Challenger
    AMC Javelin
    Camaro Z28
    Pontiac Firebird

    Fiat X1−9
    Porsche 914−2

    Lotus Europa
    Ford Pantera L
    Ferrari Dino
    Maserati Bora
    Volvo 142E

    Number of Cylinders

    4
    6
    8

    We can
    easily see that the car with the highest mileage (Toyota Corolla) has low engine displacement, low weight,
    and 4 cylinders.

    9.2 Biplots

    A biplot is a specialized graph that attempts to represent the relationship between observations, between
    variables, and between observations and variables, in a low (usually two) dimensional space.
    It’s easiest to see how this works with an example. Let’s create a biplot for the mtcars dataset, using the
    fviz_pca function from the factoextra package.

    # create a biplot
    # load data
    data(mtcars)

    # fit a principal components model
    fit <- prcomp(x = mtcars,

    https://www.rdocumentation.org/packages/datasets/versions/3.5.0/topics/mtcars

    160 CHAPTER 9. OTHER GRAPHS

    Mazda RX4
    Mazda RX4 Wag
    Datsun 710
    Hornet 4 Drive
    Hornet Sportabout
    Valiant
    Duster 360
    Merc 240D
    Merc 230
    Merc 280

    Merc 280C

    Merc 450SE

    Merc 450SL
    Merc 450SLC

    Cadillac Fleetwood

    Lincoln Continental

    Chrysler Imperial
    Fiat 128

    Honda Civic
    Toyota Corolla
    Toyota Corona
    Dodge Challenger
    AMC Javelin
    Camaro Z28
    Pontiac Firebird
    Fiat X1−9
    Porsche 914−2
    Lotus Europa

    Ford Pantera L
    Ferrari Dino

    Maserati Bora

    Volvo 142Empg
    cyl

    disp

    hp

    drat

    wt

    qsec

    vs

    am

    gear
    carb

    −2
    0
    2
    4

    −2.5 0.0 2.5

    Dim1 (60.1%)

    D
    im

    2
    (

    2
    4

    .1
    %

    )
    Biplot of mtcars data

    Figure 9.4: Basic biplot

    center = TRUE,
    scale = TRUE)

    # plot the results
    library(factoextra)
    fviz_pca(fit,

    repel = TRUE,
    labelsize = 3) +

    theme_bw() +
    labs(title = “Biplot of mtcars data”)

    The fviz_pca function produces a ggplot2 graph.

    Dim1 and Dim2 are the first two principal components – linear combinations of the original p variables.

    P C1 = β10 + β11×1 + β12×2 + β13×3 + · · · + β1pxp

    P C2 = β20 + β21×1 + β22×2 + β23×3 + · · · + β2pxp

    The weights of these linear combinations (βij s) are chosen to maximize the variance accounted for in the
    original variables. Additionally, the principal components (PCs) are constrained to be uncorrelated with
    each other.

    https://towardsdatascience.com/a-one-stop-shop-for-principal-component-analysis-5582fb7e0a9c

    9.3. BUBBLE CHARTS 161

    In this graph, the first PC accounts for 60% of the variability in the original data. The second PC accounts
    for 24%. Together, they account for 84% of the variability in the original p = 11 variables.

    As you can see, both the observations (cars) and variables (car characteristics) are plotted in the same graph.

    • Points represent observations. Smaller distances between points suggest similar values on the original
    set of variables. For example, the Toyota Corolla and Honda Civic are similar to each other, as are
    the Chrysler Imperial and Liconln Continental. However, the Toyota Corolla is very different from
    the Lincoln Continental.

    • The vectors (arrows) represent variables. The angle between vectors are proportional to the correlation
    between the variables. Smaller angles indicate stronger correlations. For example, gear and am are
    positively correlated, gear and qsec are uncorrelated (90 degree angle), and am and wt are negatively
    correlated (angle greater then 90 degrees).

    • The observations that are are farthest along the direction of a variable’s vector, have the highest values
    on that variable. For example, the Toyoto Corolla and Honda Civic have higher values on mpg. The
    Toyota Corona has a higher qsec. The Duster 360 has more cylinders.

    Care must be taken in interpreting biplots. They are only accurate when the percentage of variance accounted
    for is high. Always check your conclusion with the original data.

    See the article by Forrest Young to learn more about interpreting biplots correctly.

    9.3 Bubble charts

    A bubble chart is basically just a scatterplot where the point size is proportional to the values of a third
    quantitative variable.

    Using the mtcars dataset, let’s plot car weight vs. mileage and use point size to represent horsepower.

    # create a bubble plot
    data(mtcars)
    library(ggplot2)
    ggplot(mtcars,

    aes(x = wt, y = mpg, size = hp)) +
    geom_point()

    http://forrest.psych.unc.edu/research/vista-frames/help/lecturenotes/lecture13/biplot.html

    https://www.rdocumentation.org/packages/datasets/versions/3.5.0/topics/mtcars

    162 CHAPTER 9. OTHER GRAPHS

    10
    15
    20
    25
    30
    35

    2 3 4 5

    wt
    m
    p
    g
    hp
    100
    150
    200

    250

    300

    We can improve the default appearance by increasing the size of the bubbles, choosing a different point
    shape and color, and adding some transparency.

    # create a bubble plot with modifications
    ggplot(mtcars,

    aes(x = wt, y = mpg, size = hp)) +
    geom_point(alpha = .5,

    fill=”cornflowerblue”,
    color=”black”,
    shape=21) +

    scale_size_continuous(range = c(1, 14)) +
    labs(title = “Auto mileage by weight and horsepower”,

    subtitle = “Motor Trend US Magazine (1973-74 models)”,
    x = “Weight (1000 lbs)”,
    y = “Miles/(US) gallon”,
    size = “Gross horsepower”)

    9.4. FLOW DIAGRAMS 163

    10
    15
    20
    25
    30
    35
    2 3 4 5

    Weight (1000 lbs)

    M
    ile
    s/
    (U
    S
    )

    g
    a

    llo
    n

    Gross horsepower

    100
    150
    200
    250
    300

    Motor Trend US Magazine (1973−74 models)

    Auto mileage by weight and horsepower

    The range parameter in the scale_size_continuous function specifies the minimum and maximum size
    of the plotting symbol. The default is range = c(1, 6).

    The shape option in the geom_point function specifies an circle with a border color and fill color.

    Clearly, miles per gallon decreases with increased car weight and horsepower. However, there is one car with
    low weight, high horsepower, and high gas mileage. Going back to the data, it’s the Lotus Europa.

    Bubble charts are controversial for the same reason that pie charts are controversial. People are better at
    judging length than volume. However, they are quite popular.

    9.4 Flow diagrams

    A flow diagram represents a set of dynamic relationships. It usually captures the physical or metaphorical
    flow of people, materials, communications, or objects through a set of nodes in a network.

    9.4.1 Sankey diagrams

    In a Sankey diagram, the width of the line between two nodes is proportional to the flow amount. We’ll
    demonstrate this with UK energy forecast data. The data contain energy production and consumption
    forecasts for the year 2050.

    Building the graph requires two data frames, one containing node names and the second containing the links
    between the nodes and the amount of the flow between them.

    164 CHAPTER 9. OTHER GRAPHS

    # input data (data frames nodes and links)

    load(“Energy.RData”)

    # view nodes data frame
    head(nodes)

    ## # A tibble: 6 x 1
    ## name
    ##
    ## 1

    Agricultural ‘waste’

    ## 2

    Bio-conversion

    ## 3

    Liquid

    ## 4 Losses
    ## 5 Solid
    ## 6

    Gas

    # view links data frame
    head(links)

    ## # A tibble: 6 x 3
    ## source target value
    ##
    ## 1 0 1 125.
    ## 2 1 2 0.597
    ## 3 1 3 26.9
    ## 4 1 4 280.
    ## 5 1 5 81.1
    ## 6 6 2 35.0

    We’ll build the diagram using the sankeyNetwork function in the networkD3 package.

    # create Sankey diagram
    library(networkD3)
    sankeyNetwork(Links = links,

    Nodes = nodes,
    Source = “source”,
    Target = “target”,
    Value = “value”,
    NodeID = “name”,
    units = “TWh”, # optional units name for popups
    fontSize = 12,
    nodeWidth = 30)

    https://www.rdocumentation.org/packages/networkD3/versions/0.4/topics/sankeyNetwork

    9.4. FLOW DIAGRAMS 165

    Agricultural ‘waste’
    Bio-conversion
    Liquid

    Losses
    Solid

    Gas

    Biofuel imports

    Biomass imports

    Coal imports

    Coal
    Coal reserves

    District heating

    Industry

    Heating and cooling – commercial
    Heating and cooling – homes

    Electricity grid Over generation / exports

    H2 conversion

    Road transport
    Agriculture

    Rail transport

    Lighting & appliances – commercial
    Lighting & appliances – homes

    Gas imports
    NgasGas reserves

    Thermal generation

    Geothermal

    H2

    Hydro

    International shipping
    Domestic aviation

    International aviation
    National navigationMarine algae

    Nuclear

    Oil imports
    Oil

    Oil reserves

    Other waste

    Pumped heatSolar PV
    Solar ThermalSolar

    Tidal

    UK land based bioenergy

    Wave
    Wind

    Energy supplies are on the left and energy demands are on the right. Follow the flow from left to right.
    Notice that the graph is interactive (assuming you are viewing it on a web page). Try highlighting nodes
    and dragging them to new positions.

    Sankey diagrams created with the networkD3 package are not ggplot2 graphs. Therefore, they can not be
    modified with ggplot2 functions.

    9.4.2 Alluvial diagrams

    Alluvial diagrams are a subset of Sankey diagrams, and are more rigidly defined. A discussion of the
    differences can be found here.

    When examining the relationship among categorical variables, alluvial diagrams can serve as alternatives to
    mosaic plots. In an alluvial diagram, blocks represent clusters of observations, and stream fields between the
    blocks represent changes to the composition of the clusters over time.

    They can also be used when time is not a factor. As an example, let’s diagram the survival of Titanic
    passengers, using the Titanic dataset.

    Alluvial diagrams are created with ggalluvial package, generating ggplot2 graphs.

    # input data
    library(readr)
    titanic <- read_csv("titanic.csv")

    # summarize data
    library(dplyr)

    https://github.com/corybrunson/ggalluvial/issues/11

    166 CHAPTER 9. OTHER GRAPHS

    titanic_table <- titanic %>%
    group_by(Class, Sex, Survived) %>%
    count()

    titanic_table$Survived <- factor(titanic_table$Survived, levels = c("Yes", "No"))

    head(titanic_table)

    ## # A tibble: 6 x 4
    ## # Groups: Class, Sex, Survived [6]
    ## Class Sex Survived n
    ##
    ## 1 1st Female No 4
    ## 2 1st Female Yes 141
    ## 3 1st Male No 118
    ## 4 1st Male Yes 62
    ## 5 2nd Female No 13
    ## 6 2nd Female Yes 93

    # create alluvial diagram
    library(ggplot2)
    library(ggalluvial)

    ggplot(titanic_table,
    aes(axis1 = Class,

    axis2 = Survived,
    y = n)) +

    geom_alluvium(aes(fill = Sex)) +
    geom_stratum() +
    geom_text(stat = “stratum”,

    label.strata = TRUE) +
    scale_x_discrete(limits = c(“Class”, “Survived”),

    expand = c(.1, .1)) +
    labs(title = “Titanic data”,

    subtitle = “stratified by class, sex, and survival”,
    y = “Frequency”) +

    theme_minimal()

    9.4. FLOW DIAGRAMS 167

    Crew

    3rd

    2nd

    1st

    No

    Yes

    0
    500
    1000

    1500

    2000

    Class Survived

    F
    re
    q
    u
    e
    n

    cy Sex

    Female
    Male

    stratified by class, sex, and survival

    Titanic data

    Start at a node on the left and follow the stream field to the right. The height of the blocks represent the
    proportion of observations in that cluster and the height of the stream field represents the proportion of
    observations contained in both blocks they connect.
    For example, most crew are male and do not survive. A much larger percent of 1st class females survive,
    than 1st class males.
    Here is an alternative visualization. Survived becomes an axis and Class becomes the fill color. Colors are
    chosen from the viridis palette. Additionally, the legend is suppressed.

    # create alternative alluvial diagram
    library(ggplot2)
    library(ggalluvial)
    ggplot(titanic_table,

    aes(axis1 = Class,
    axis2 = Sex,
    axis3 = Survived,
    y = n)) +

    geom_alluvium(aes(fill = Class)) +
    geom_stratum() +
    geom_text(stat = “stratum”,

    label.strata = TRUE) +
    scale_x_discrete(limits = c(“Class”, “Sex”, “Survived”),

    expand = c(.1, .1)) +
    scale_fill_viridis_d() +
    labs(title = “Titanic data”,

    subtitle = “stratified by class, sex, and survival”,
    y = “Frequency”) +

    168 CHAPTER 9. OTHER GRAPHS

    Crew
    3rd
    2nd
    1st
    Male
    Female
    No
    Yes
    0
    500
    1000
    1500
    2000

    Class Sex Survived

    F
    re
    q
    u
    e
    n
    cy
    stratified by class, sex, and survival
    Titanic data

    Figure 9.5: Alternative alluvial diagram

    theme_minimal() +
    theme(legend.position = “none”)

    I think that this version is a bit easier to follow.

    See the ggalluvial website for additional details.

    9.5 Heatmaps

    A heatmap displays a set of data using colored tiles for each variable value within each observation. There are
    many varieties of heatmaps. Although base R comes with a heatmap function, we’ll use the more powerful
    superheat package (I love these names).

    First, let’s create a heatmap for the mtcars dataset that come with base R. The mtcars dataset contains
    information on 32 cars measured on 11 variables.

    # create a heatmap
    data(mtcars)
    library(superheat)
    superheat(mtcars, scale = TRUE)

    https://github.com/corybrunson/ggalluvial

    https://rlbarter.github.io/superheat/

    https://www.rdocumentation.org/packages/datasets/versions/3.5.0/topics/mtcars

    9.5. HEATMAPS 169

    −0.6 0.7 2.0 3.0

    Mazda RX4
    Mazda RX4 Wag

    Datsun 710
    Hornet 4 Drive

    Hornet Sportabout
    Valiant

    Duster 360
    Merc 240D
    Merc 230
    Merc 280

    Merc 280C

    Merc 450SE
    Merc 450SL

    Merc 450SLC

    Cadillac Fleetwood
    Lincoln Continental

    Chrysler Imperial

    Fiat 128
    Honda Civic

    Toyota Corolla
    Toyota Corona

    Dodge Challenger
    AMC Javelin
    Camaro Z28

    Pontiac Firebird
    Fiat X1−9

    Porsche 914−2
    Lotus Europa

    Ford Pantera L
    Ferrari Dino

    Maserati Bora
    Volvo 142E

    mpg cyl disp hp drat wt qsec vs am gear carb

    The scale = TRUE options standardizes the columns to a mean of zero and standard deviation of one.
    Looking at the graph, we can see that the Merc 230 has a quarter mile time (qsec) the is well above average
    (bright yellow). The Lotus Europa has a weight is well below average (dark blue).

    We can use clustering to sort the rows and/or columns. In the next example, we’ll sort the rows so that cars
    that are similar appear near each other. We will also adjust the text and label sizes.

    170 CHAPTER 9. OTHER GRAPHS

    # sorted heat map
    superheat(mtcars,

    scale = TRUE,
    left.label.text.size=3,
    bottom.label.text.size=3,
    bottom.label.size = .05,
    row.dendrogram = TRUE )

    9.5. HEATMAPS 171

    −0.6 0.7 2.0 3.0
    Hornet 4 Drive
    Valiant
    Merc 280
    Merc 280C
    Toyota Corona
    Merc 240D
    Merc 230
    Porsche 914−2
    Lotus Europa
    Datsun 710
    Volvo 142E
    Honda Civic
    Fiat X1−9
    Fiat 128
    Toyota Corolla
    Chrysler Imperial
    Cadillac Fleetwood
    Lincoln Continental
    Duster 360
    Camaro Z28
    Merc 450SLC
    Merc 450SE
    Merc 450SL
    Hornet Sportabout
    Pontiac Firebird
    Dodge Challenger
    AMC Javelin
    Ferrari Dino
    Mazda RX4
    Mazda RX4 Wag
    Ford Pantera L
    Maserati Bora
    mpg cyl disp hp drat wt qsec vs am gear carb

    Here we can see that the Toyota Corolla and Fiat 128 have similar characteristics. The Lincoln Continental
    and Cadillac Fleetwood also have similar characteristics.

    The superheat function requires that the data be in particular format. Specifically

    • the data most be all numeric

    172 CHAPTER 9. OTHER GRAPHS

    • the row names are used to label the left axis. If the desired labels are in a column variable, the
    variable must be converted to row names (more on this below)

    • missing values are allowed

    Let’s use a heatmap to display changes in life expectancies over time for Asian countries. The data come
    from the gapminder dataset.

    Since the data is in long format, we first have to convert to wide format. Then we need to ensure that it
    is a data frame and convert the variable country into row names. Finally, we’ll sort the data by 2007 life
    expectancy. While we are at it, let’s change the color scheme.

    # create heatmap for gapminder data (Asia)
    library(tidyr)
    library(dplyr)

    # load data
    data(gapminder, package=”gapminder”)

    # subset Asian countries
    asia <- gapminder %>%
    filter(continent == “Asia”) %>%
    select(year, country, lifeExp)

    # convert to long to wide format
    plotdata <- spread(asia, year, lifeExp)

    # save country as row names
    plotdata <- as.data.frame(plotdata) row.names(plotdata) <- plotdata$country plotdata$country <- NULL

    # row order
    sort.order <- order(plotdata$"2007")

    # color scheme
    library(RColorBrewer)
    colors <- rev(brewer.pal(5, "Blues"))

    # create the heat map
    superheat(plotdata,

    scale = FALSE,
    left.label.text.size=3,
    bottom.label.text.size=3,
    bottom.label.size = .05,
    heat.pal = colors,
    order.rows = sort.order,
    title = “Life Expectancy in Asia”)

    9.5. HEATMAPS 173

    30 40 60 70 80

    Afghanistan
    Iraq
    Cambodia
    Myanmar
    Yemen, Rep.
    Nepal
    Bangladesh
    India
    Pakistan
    Mongolia

    Korea, Dem. Rep.
    Thailand
    Indonesia

    Iran
    Philippines
    Lebanon
    Sri Lanka

    Jordan
    Saudi Arabia

    China
    West Bank and Gaza

    Syria
    Malaysia
    Vietnam
    Bahrain
    Oman
    Kuwait
    Taiwan

    Korea, Rep.
    Singapore
    Israel
    Hong Kong, China
    Japan

    1952 1957 1962 1967 1972 1977 1982 1987 1992 1997 2002 2007

    Life Expectancy in Asia

    Japan, Hong Kong, and Israel have the highest life expectancies. South Korea was doing well in the 80s but
    has lost some ground. Life expectancy in Cambodia took a sharp hit in 1977.

    To see what you can do with heat maps, see the extensive superheat vignette.

    https://rlbarter.github.io/superheat/

    174 CHAPTER 9. OTHER GRAPHS

    9.6 Radar charts

    A radar chart (also called a spider or star chart) displays one or more groups or observations on three or
    more quantitative variables.
    In the example below, we’ll compare dogs, pigs, and cows in terms of body size, brain size, and sleep
    characteristics (total sleep time, length of sleep cycle, and amount of REM sleep). The data come from the
    Mammal Sleep dataset.
    Radar charts can be created with ggradar function in the ggradar package. Unfortunately, the package in
    not available on CRAN, so we have to install it from Github.

    install.packages(“devtools”)
    devtools::install_github(“ricardo-bion/ggradar”)

    Next, we have to put the data in a specific format:

    • The first variable should be called group and contain the identifier for each observation

    • The numeric variables have to be rescaled so that their values range from 0 to 1

    # create a radar chart

    # prepare data
    data(msleep, package = “ggplot2”)
    library(ggradar)
    library(scales)
    library(dplyr)

    plotdata <- msleep %>%
    filter(name %in% c(“Cow”, “Dog”, “Pig”)) %>%
    select(name, sleep_total, sleep_rem,

    sleep_cycle, brainwt, bodywt) %>%
    rename(group = name) %>%
    mutate_at(vars(-group),

    funs(rescale))
    plotdata

    # generate radar chart
    ggradar(plotdata,

    grid.label.size = 4,
    axis.label.size = 4,
    group.point.size = 5,
    group.line.width = 1.5,
    legend.text.size= 10) +

    labs(title = “Mammals, size, and sleep”)

    In the previous chart, the mutate_at function rescales all variables except group. The various size op-
    tions control the font sizes for the percent labels, variable names, point size, line width, and legend labels
    respectively.
    We can see from the chart that, relatively speaking, cows have large brain and body weights, long sleep
    cycles, short total sleep time and little time in REM sleep. Dogs in comparison, have small body and brain
    weights, short sleep cycles, and a large total sleep time and time in REM sleep (The obvious conclusion is
    that I want to be a dog – but with a bigger brain).

    9.6. RADAR CHARTS 175

    Figure 9.6: Basic radar chart

    176 CHAPTER 9. OTHER GRAPHS

    9.7 Scatterplot matrix

    A scatterplot matrix is a collection of scatterplots organized as a grid. It is similar to a correlation plot but
    instead of displaying correlations, displays the underlying data.

    You can create a scatterplot matrix using the ggpairs function in the GGally package.

    We can illustrate its use by examining the relationships between mammal size and sleep characteristics. The
    data come from the msleep dataset that ships with ggplot2. Brain weight and body weight are highly
    skewed (think mouse and elephant) so we’ll transform them to log brain weight and log body weight before
    creating the graph.

    library(GGally)

    # prepare data
    data(msleep, package=”ggplot2″)
    library(dplyr)
    df <- msleep %>%
    mutate(log_brainwt = log(brainwt),

    log_bodywt = log(bodywt)) %>%
    select(log_brainwt, log_bodywt, sleep_total, sleep_rem)

    # create a scatterplot matrix
    ggpairs(df)

    By default,

    • the principal diagonal contains the kernel density charts for each variable.

    • The cells below the principal diagonal contain the scatterplots represented by the intersection of the
    row and column variables. The variables across the top are the x-axes and the variables down the
    right side are the y-axes.

    • The cells above the principal diagonal contain the correlation coefficients.

    For example, as brain weight increases, total sleep time and time in REM sleep decrease.

    The graph can be modified by creating custom functions.

    # custom function for density plot
    my_density <- function(data, mapping, ...){ ggplot(data = data, mapping = mapping) + geom_density(alpha = 0.5,

    fill = “cornflowerblue”, …)
    }

    # custom function for scatterplot
    my_scatter <- function(data, mapping, ...){ ggplot(data = data, mapping = mapping) + geom_point(alpha = 0.5,

    color = “cornflowerblue”) +
    geom_smooth(method=lm,

    se=FALSE, …)

    https://ggobi.github.io/ggally/#ggallyggpairs

    https://ggobi.github.io/ggally/index.html

    9.7. SCATTERPLOT MATRIX 177

    Corr:

    0.965

    Corr:

    −0.594

    Corr:

    −0.569

    Corr:

    −0.284

    Corr:

    −0.323

    Corr:

    0.752

    log_brainwt log_bodywt sleep_total sleep_rem

    lo
    g

    _
    b

    ra
    in

    w
    t

    lo
    g
    _
    b

    o
    d

    yw
    t

    sle
    e

    p
    _

    to
    ta

    l
    sle

    e
    p

    _
    re

    m

    −7.5 −5.0 −2.5 0.0 −5 0 5 5 10 15 20 0 2 4 6

    0.00

    0.05

    0.10

    0.15

    −5

    0
    5
    5
    10
    15
    20
    0
    2
    4
    6

    Figure 9.7: Scatterplot matrix

    178 CHAPTER 9. OTHER GRAPHS

    Corr:
    0.965
    Corr:
    −0.594
    Corr:
    −0.569
    Corr:
    −0.284
    Corr:
    −0.323
    Corr:
    0.752
    log_brainwt log_bodywt sleep_total sleep_rem
    lo
    g
    _
    b
    ra
    in
    w
    t
    lo
    g
    _
    b
    o
    d
    yw
    t
    sle
    e
    p
    _
    to
    ta
    l
    sle
    e
    p
    _
    re
    m
    −7.5 −5.0 −2.5 0.0 −5 0 5 5 10 15 20 0 2 4 6
    0.00
    0.05
    0.10
    0.15
    −5
    0
    5
    5
    10
    15
    20
    0
    2
    4
    6

    Mammal size and sleep characteristics

    Figure 9.8: Customized scatterplot matrix

    }

    # create scatterplot matrix
    ggpairs(df,

    lower=list(continuous = my_scatter),
    diag = list(continuous = my_density)) +

    labs(title = “Mammal size and sleep characteristics”) +
    theme_bw()

    Being able to write your own functions provides a great deal of flexibility. Additionally, since the resulting
    plot is a ggplot2 graph, addition functions can be added to alter the theme, title, labels, etc. See the help
    for more details.

    9.8 Waterfall charts

    A waterfall chart illustrates the cumulative effect of a sequence of positive and negative values.

    For example, we can plot the cumulative effect of revenue and expenses for a fictional company. First, let’s
    create a dataset

    https://ggobi.github.io/ggally/#ggallyggpairs

    9.8. WATERFALL CHARTS 179

    # create company income statement
    category <- c("Sales", "Services", "Fixed Costs",

    “Variable Costs”, “Taxes”)
    amount <- c(101000, 52000, -23000, -15000, -10000) income <- data.frame(category, amount)

    Now we can visualize this with a waterfall chart, using the waterfall function in the waterfalls package.

    # create waterfall chart
    library(ggplot2)
    library(waterfalls)
    waterfall(income)

    101000

    52000

    −23000

    15000

    −10000

    0
    50000
    100000
    150000

    Sales Services Fixed Costs Variable Costs Taxes

    We can also add a total (net) column. Since the result is a ggplot2 graph, we can use additional functions
    to customize the results.

    # create waterfall chart with total column
    waterfall(income,

    calc_total=TRUE,
    total_axis_text = “Net”,
    total_rect_text_color=”black”,
    total_rect_color=”goldenrod1″) +

    scale_y_continuous(label=scales::dollar) +
    labs(title = “West Coast Profit and Loss”,

    subtitle = “Year 2017″,
    y=””,

    https://www.rdocumentation.org/packages/waterfalls/versions/0.1.2/topics/waterfall

    180 CHAPTER 9. OTHER GRAPHS

    101000
    52000
    −23000
    −15000
    −10000

    105000

    $0
    $50,000
    $100,000
    $150,000

    Sales Services Fixed Costs Variable Costs Taxes Net

    Year 2017

    West Coast Profit and Loss

    Figure 9.9: Waterfall chart with total column

    x=””) +
    theme_minimal()

    9.9 Word clouds

    A word cloud (also called a tag cloud), is basically an infographic that indicates the frequency of words in
    a collection of text (e.g., tweets, a text document, a set of text documents). There is a very nice script
    produced by STHDA that will generate a word cloud directly from a text file.

    To demonstrate, we’ll use President Kennedy’s Address during the Cuban Missile crisis.

    To use the script, there are several packages you need to install first.

    # install packages for text mining
    install.packages(c(“tm”, “SnowballC”,

    “wordcloud”, “RColorBrewer”,
    “RCurl”, “XML”)

    Once the packages are installed, you can run the script on your text file.

    http://www.sthda.com

    9.9. WORD CLOUDS 181

    # create a word cloud
    script <- "http://www.sthda.com/upload/rquery_wordcloud.r" source(script) res<-rquery.wordcloud("JFKspeech.txt",

    type =”file”,
    lang = “english”)

    soviet
    cuba

    w
    ill

    w
    e

    a
    p

    o
    n
    s

    h
    e

    m
    is

    p
    h

    e
    rem

    is
    si

    le
    s

    n
    a

    t

    io
    n

    world

    n
    u

    cl
    e

    a
    r

    nations th
    re

    a
    t

    offensive

    military

    a
    ct

    io
    n

    united

    peace

    government

    union

    people

    one

    b
    u

    ild
    u

    p

    now

    w
    e

    st
    e

    rn

    upon

    states

    security

    co
    u
    n
    tr
    y

    a
    m

    e
    ri

    ca
    n

    war

    free

    fr
    e

    e
    d
    o
    m
    can
    sites

    fir
    st

    strategic

    clear
    q

    u
    o

    te c
    u

    b
    a

    n

    n
    e
    ve

    r

    time
    directed

    new

    capable

    also
    d
    e

    fe
    n

    si
    ve

    need

    foreign

    m
    a

    n
    y

    p
    re

    se
    n

    t

    peaceful

    citizens

    bases

    evidence

    missile

    past

    su
    rv

    e
    ill

    a
    n
    ce
    co
    u

    rs
    e

    last

    a
    m
    e
    ri
    ca
    b
    a

    lli
    st

    ic

    range

    far

    necessary
    p
    re

    p
    a

    re
    d

    a
    rm

    s

    charter
    d

    e
    si

    re
    resolution

    so
    vi

    e
    ts

    st
    a

    tio
    n

    sudden

    te
    rr

    ito
    ry

    made

    a
    lr
    e

    a
    d

    y

    become
    well

    sy
    st

    e
    m

    latin

    outside

    policyback

    quarantine

    turned

    shall

    a
    ro

    u
    n
    d

    meeting

    ca
    ll

    d
    o

    m
    in

    a
    tio

    n
    le

    a
    d

    e
    rs

    p
    a
    th

    As you can see, the most common words in the speech are soviet, cuba, world, weapons, etc. The terms
    missle and ballistic are used rarely. See the rquery.wordcloud page, for more details.

    http://www.sthda.com/english/wiki/word-cloud-generator-in-r-one-killer-function-to-do-everything-you-need

    182 CHAPTER 9. OTHER GRAPHS

    Chapter 10

    Customizing Graphs

    Graph defaults are fine for quick data exploration, but when you want to publish your results to a blog,
    paper, article or poster, you’ll probably want to customize the results. Customization can improve the

    clarity

    and attractiveness of a graph.

    This chapter describes how to customize a graph’s axes, gridlines, colors, fonts, labels, and legend. It also
    describes how to add annotations (text and lines).

    10.1 Axes

    The x-axis and y-axis represent numeric, categorical, or date values. You can modify the default scales and
    labels with the functions below.

    10.1.1 Quantitative axes

    A quantitative axis is modified using the scale_x_continuous or scale_y_continuous function.

    Options include

    • breaks – a numeric vector of positions

    • limits – a numeric vector with the min and max for the scale

    # customize numerical x and y axes
    library(ggplot2)
    ggplot(mpg, aes(x=displ, y=hwy)) +
    geom_point() +
    scale_x_continuous(breaks = seq(1, 7, 1),

    limits=c(1, 7)) +
    scale_y_continuous(breaks = seq(10, 45, 5),

    limits=c(10, 45))

    183

    184 CHAPTER 10. CUSTOMIZING GRAPHS

    10
    15
    20
    25
    30
    35
    40
    45

    1

    2 3 4 5 6 7

    displ

    h
    w

    y

    #### Numeric formats

    The scales package provides a number of functions for formatting numeric labels. Some of the most useful
    are

    • dollar

    • comma

    • percent

    Let’s demonstrate these functions with some synthetic data.

    # create some data
    set.seed(1234)
    df <- data.frame(xaxis = rnorm(50, 100000, 50000),

    yaxis = runif(50, 0, 1),
    pointsize = rnorm(50, 1000, 1000))

    library(ggplot2)

    # plot the axes and legend with formats
    ggplot(df, aes(x = xaxis,

    y = yaxis,
    size=pointsize)) +

    geom_point(color = “cornflowerblue”,
    alpha = .6) +

    scale_x_continuous(label = scales::comma) +

    10.1. AXES 185

    scale_y_continuous(label = scales::percent) +
    scale_size(range = c(1,10), # point size range

    label = scales::dollar)

    0%

    25%

    50%

    75%

    100%

    0 50,000 100,000 150,000 200,000

    xaxis

    ya
    xi

    s

    pointsize

    $0

    $1,000

    $2,000

    $3,000

    To format currency values as euros, you can use

    label = scales::dollar_format(prefix = “”, suffix = “\u20ac”).

    10.1.2 Categorical axes

    A categorical axis is modified using the scale_x_discrete or scale_y_discrete function.

    Options include

    • limits – a character vector (the levels of the quantitative variable in the desired order)
    • labels – a character vector of labels (optional labels for these levels)

    library(ggplot2)
    # customize categorical x axis
    ggplot(mpg, aes(x = class)) +
    geom_bar(fill = “steelblue”) +
    scale_x_discrete(limits = c(“pickup”, “suv”, “minivan”,

    “midsize”, “compact”, “subcompact”,
    “2seater”),

    labels = c(“Pickup\nTruck”, “Sport Utility\nVehicle”,

    186 CHAPTER 10. CUSTOMIZING GRAPHS

    0
    20
    40
    60

    Pickup
    Truck

    Sport Utility
    Vehicle

    Minivan Mid−size Compact Subcompact 2−Seater

    class
    co
    u
    n
    t

    Figure 10.1: Customized categorical axis

    “Minivan”, “Mid-size”, “Compact”,
    “Subcompact”, “2-Seater”))

    10.1.3 Date axes

    A date axis is modified using the scale_x_date or scale_y_date function.

    Options include

    • date_breaks – a string giving the distance between breaks like “2 weeks” or “10 years”
    • date_labels – A string giving the formatting specification for the labels

    The table below gives the formatting specifications for date values.

    Symbol Meaning Example
    %d day as a number (0-31) 01-31
    %a abbreviated weekday Mon
    %A unabbreviated weekday Monday
    %m month (00-12) 00-12
    %b abbreviated month Jan
    %B unabbreviated month January

    10.2. COLORS 187

    Symbol Meaning Example
    %y 2-digit year 07
    %Y 4-digit year 2007

    library(ggplot2)
    # customize date scale on x axis
    ggplot(economics, aes(x = date, y = unemploy)) +
    geom_line(color=”darkgreen”) +
    scale_x_date(date_breaks = “5 years”,

    date_labels = “%b-%y”)

    4000

    8000

    12000

    Jan−70 Jan−75 Jan−80 Jan−85 Jan−90 Jan−95 Jan−00 Jan−05 Jan−10 Jan−15
    date
    u
    n
    e
    m

    p
    lo

    y

    Here is a help sheet for modifying scales developed from the online help.

    10.2 Colors

    The default colors in ggplot2 graphs are functional, but often not as visually appealing as they can be.
    Happily this is easy to change.

    Specific colors can be

    • specified for points, lines, bars, areas, and text, or

    • mapped to the levels of a variable in the dataset.

    188 CHAPTER 10. CUSTOMIZING GRAPHS

    10.2.1 Specifying colors manually

    To specify a color for points, lines, or text, use the color = “colorname” option in the appropriate geom.
    To specify a color for bars and areas, use the fill = “colorname” option.

    Examples:

    • geom_point(color = “blue”)

    • geom_bar(fill = “steelblue”)

    Colors can be specified by name or hex code.

    To assign colors to the levels of a variable, use the scale_color_manual and scale_fill_manual functions.
    The former is used to specify the colors for points and lines, while the later is used for bars and areas.

    Here is an example, using the diamonds dataset that ships with ggplot2. The dataset contains the prices
    and attributes of 54,000 round cut diamonds.

    # specify fill color manually
    library(ggplot2)
    ggplot(diamonds, aes(x = cut, fill = clarity)) +
    geom_bar() +
    scale_fill_manual(values = c(“darkred”, “steelblue”,

    “darkgreen”, “gold”,
    “brown”, “purple”,
    “grey”, “khaki4”))

    If you are aesthetically challenged like me, an alternative is to use a predefined palette.

    10.2.2 Color palettes

    There are many predefined color palettes available in R.

    10.2.2.1 RColorBrewer

    The most popular alternative palettes are probably the ColorBrewer palettes.

    http://research.stowers.org/mcm/efg/R/Color/Chart/ColorChart

    http://colorbrewer2.org/#type=sequential&scheme=BuGn&n=3

    10.2. COLORS 189

    0
    5000
    10000
    15000
    20000

    Fair Good Very Good Premium Ideal

    cut
    co
    u
    n
    t
    clarity

    I1

    SI2

    SI1

    VS2

    VS1

    VVS2

    VVS1

    IF

    Figure 10.2: Manual color selection

    190 CHAPTER 10. CUSTOMIZING GRAPHS

    BrBG
    PiYG

    PRGn
    PuOr
    RdBu
    RdGy

    RdYlBu
    RdYlGn
    Spectral

    Accent
    Dark2
    Paired

    Pastel1
    Pastel2

    Set1
    Set2
    Set3

    Blues
    BuGn
    BuPu
    GnBu

    Greens
    Greys

    Oranges
    OrRd
    PuBu

    PuBuGn
    PuRd

    Purples
    RdPu
    Reds
    YlGn

    YlGnBu
    YlOrBr
    YlOrRd

    You can specify these palettes with the scale_color_brewer and scale_fill_brewer functions.

    # use an ColorBrewer fill palette
    ggplot(diamonds, aes(x = cut, fill = clarity)) +
    geom_bar() +
    scale_fill_brewer(palette = “Dark2”)

    Adding direction = -1 to these functions reverses the order of the colors in a palette.

    10.2. COLORS 191

    0
    5000
    10000
    15000
    20000
    Fair Good Very Good Premium Ideal
    cut
    co
    u
    n
    t
    clarity
    I1
    SI2
    SI1
    VS2
    VS1
    VVS2
    VVS1
    IF

    Figure 10.3: Using RColorBrewer

    192 CHAPTER 10. CUSTOMIZING GRAPHS

    0
    5000
    10000
    15000
    20000
    Fair Good Very Good Premium Ideal
    cut
    co
    u
    n
    t
    clarity
    I1
    SI2
    SI1
    VS2
    VS1
    VVS2
    VVS1
    IF

    Figure 10.4: Using the viridis palette

    10.2.2.2 Viridis

    The viridis palette is another popular choice.

    For continuous scales use

    • scale_fill_viridis_c

    • scale_color_viridis_c

    For discrete (categorical scales) use

    • scale_fill_viridis_d

    • scale_color_viridis_d

    # Use a viridis fill palette
    ggplot(diamonds, aes(x = cut, fill = clarity)) +
    geom_bar() +
    scale_fill_viridis_d()

    https://cran.r-project.org/web/packages/viridis/vignettes/intro-to-viridis.html

    10.3. POINTS & LINES 193

    10.2.2.3 Other palettes

    Other palettes to explore include dutchmasters, ggpomological, LaCroixColoR, nord, ochRe, palettetown,
    pals, rcartocolor, and wesanderson.

    If you want to explore all the palette options (or nearly all), take a look at the paletter package.

    To learn more about color specifications, see the R Cookpage page on ggplot2 colors. Also see the color
    choice advice in this book.

    10.3 Points & Lines

    10.3.1 Points

    For ggplot2 graphs, the default point is a filled circle. To specify a different shape, use the shape = #
    option in the geom_point function. To map shapes to the levels of a categorical variable use the shape =
    variablename option in the aes function.

    Examples:

    • geom_point(shape = 1)

    • geom_point(aes(shape = sex))

    Availabe shapes are given in the table below.

    0 1 2 3 4

    5 6 7 8 9

    10 11 12 13 14

    15 16 17 18 19

    20 21 22 23 24 25
    Shapes 21 through 26 provide for both a

    fill color and a border color.

    https://github.com/EdwinTh/dutchmasters

    https://github.com/gadenbuie/ggpomological

    https://github.com/johannesbjork/LaCroixColoR

    https://github.com/jkaupp/nord

    https://github.com/ropenscilabs/ochRe

    https://github.com/timcdlucas/palettetown

    https://github.com/kwstat/pals

    https://github.com/Nowosad/rcartocolor

    https://github.com/karthik/wesanderson

    https://github.com/EmilHvitfeldt/paletteer

    http://www.cookbook-r.com/Graphs/Colors_(ggplot2)/

    194 CHAPTER 10. CUSTOMIZING GRAPHS

    10.3.2 Lines

    The default line type is a solid line. To change the linetype, use the linetype = # option in the geom_line
    function. To map linetypes to the levels of a categorical variable use the linetype = variablename option
    in the aes function.

    Examples:

    • geom_line(linetype = 1)

    • geom_line(aes(linetype = sex))

    Availabe linetypes are given in the table below.

    1
    2
    3
    4
    5
    6

    Linetypes

    ## Fonts

    R does not have great support for fonts, but with a bit of work, you can change the fonts that appear in
    your graphs. First you need to install and set-up the extrafont package.

    # one time install
    install.packages(“extrafont”)
    library(extrafont)
    font_import()

    # see what fonts are now available
    fonts()

    Apply the new font(s) using the text option in the theme function.

    # specify new font
    library(extrafont)

    10.4. LEGENDS 195

    ggplot(mpg, aes(x = displ, y=hwy)) +
    geom_point() +
    labs(title = “Diplacement by Highway Mileage”,

    subtitle = “MPG dataset”) +
    theme(text = element_text(size = 16, family = “Comic Sans MS”))

    20
    30
    40
    2 3 4 5 6 7
    displ

    hwy

    MPG dataset

    Diplacement by Highway Mileage

    To learn more about customizing fonts, see Working with R, Cairo graphics, custom fonts, and ggplot.

    10.4 Legends

    In ggplot2, legends are automatically created when variables are mapped to color, fill, linetype, shape, size,
    or alpha.

    You have a great deal of control over the look and feel of these legends. Modifications are usually made
    through the theme function and/or the labs function. Here are some of the most sought after.

    10.4.1 Legend location

    The legend can appear anywhere in the graph. By default, it’s placed on the right. You can change the
    default with

    theme(legend.position = position)

    where

    https://www.andrewheiss.com/blog/2017/09/27/working-with-r-cairo-graphics-custom-fonts-and-ggplot/#windows

    196 CHAPTER 10. CUSTOMIZING GRAPHS

    20
    30
    40
    2 3 4 5 6 7
    displ
    h
    w
    y

    class
    2seater

    compact
    midsize
    minivan
    pickup
    subcompact
    suv
    Diplacement by Highway Mileage

    Figure 10.5: Moving the legend to the top

    Position Location
    “top” above the plot area
    “right” right of the plot area
    “bottom” below the plot area
    “left” left of the plot area
    c(x, y) within the plot area. The x and y values must range between 0

    and 1. c(0,0) represents (left, bottom) and c(1,1) represents
    (right, top).

    “none” suppress the legend

    For example, to place the legend at the top, use the following code.

    # place legend on top
    ggplot(mpg,

    aes(x = displ, y=hwy, color = class)) +
    geom_point(size = 4) +
    labs(title = “Diplacement by Highway Mileage”) +
    theme_minimal() +
    theme(legend.position = “top”)

    10.5. LABELS 197

    20
    30
    40
    2 3 4 5 6 7
    displ
    h
    w
    y

    Automobile
    Class

    2seater
    compact
    midsize
    minivan
    pickup
    subcompact
    suv
    Diplacement by Highway Mileage

    Figure 10.6: Changing the legend title

    10.4.2 Legend title

    You can change the legend title through the labs function. Use color, fill, size, shape, linetype, and
    alpha to give new titles to the corresponding legends.
    The alignment of the legend title is controlled through the legend.title.align option in the theme function.
    (0=left, 0.5=center, 1=right)

    # change the default legend title
    ggplot(mpg,

    aes(x = displ, y=hwy, color = class)) +
    geom_point(size = 4) +
    labs(title = “Diplacement by Highway Mileage”,

    color = “Automobile\nClass”) +
    theme_minimal() +
    theme(legend.title.align=0.5)

    See Hadley Wickam’s legend attributes for more details.

    10.5 Labels

    Labels are a key ingredient in rendering a graph understandable. They’re are added with the labs function.
    Available options are given below.

    https://github.com/tidyverse/ggplot2/wiki/Legend-Attributes

    198 CHAPTER 10. CUSTOMIZING GRAPHS

    option Use
    title main title
    subtitle subtitle
    caption caption (bottom right by default)
    x horizontal axis
    y vertical axis
    color color legend title
    fill fill legend title
    size size legend title
    linetype linetype legend title
    shape shape legend title
    alpha transparency legend title
    size size legend title

    For example

    # add plot labels
    ggplot(mpg,

    aes(x = displ, y=hwy,
    color = class,
    shape = factor(year))) +

    geom_point(size = 3,
    alpha = .5) +

    labs(title = “Mileage by engine displacement”,
    subtitle = “Data from 1999 and 2008”,
    caption = “Source: EPA (http://fueleconomy.gov)”,
    x = “Engine displacement (litres)”,
    y = “Highway miles per gallon”,
    color = “Car Class”,
    shape = “Year”) +

    theme_minimal()

    10.6. ANNOTATIONS 199

    20
    30
    40
    2 3 4 5 6 7

    Engine displacement (litres)

    H
    ig

    h
    w

    a
    y

    m
    ile

    s
    p

    e
    r

    g
    a
    llo
    n
    Year

    1999

    2008

    Car Class

    2seater
    compact
    midsize
    minivan
    pickup
    subcompact
    suv

    Data from 1999 and 2008

    Mileage by engine displacement

    Source: EPA (http://fueleconomy.gov)

    This is not a great graph – it is too busy, making the identification of patterns difficult. It would better to
    facet the year variable, the class variable or both. Trend lines would also be helpful.

    10.6 Annotations

    Annotations are addition information added to a graph to highlight important points.

    10.6.1 Adding text

    There are two primary reasons to add text to a graph.
    One is to identify the numeric qualities of a geom. For example, we may want to identify points with labels
    in a scatterplot, or label the heights of bars in a bar chart.
    Another reason is to provide additional information. We may want to add notes about the data, point out
    outliers, etc.

    10.6.1.1 Labeling values

    Consider the following scatterplot, based on the car data in the mtcars dataset.

    # basic scatterplot
    data(mtcars)
    ggplot(mtcars, aes(x = wt, y = mpg)) +
    geom_point()

    https://www.rdocumentation.org/packages/datasets/versions/3.5.0/topics/mtcars

    200 CHAPTER 10. CUSTOMIZING GRAPHS

    10
    15
    20
    25
    30
    35
    2 3 4 5
    wt
    m
    p
    g

    Let’s label each point with the name of the car it represents.

    # scatterplot with labels
    data(mtcars)
    ggplot(mtcars, aes(x = wt, y = mpg)) +
    geom_point() +
    geom_text(label = row.names(mtcars))

    The overlapping labels make this chart difficult to read. There is a package called ggrepel that can help us
    here.

    # scatterplot with non-overlapping labels
    data(mtcars)
    library(ggrepel)
    ggplot(mtcars, aes(x = wt, y = mpg)) +
    geom_point() +
    geom_text_repel(label = row.names(mtcars),

    size=3)

    10.6. ANNOTATIONS 201

    Mazda RX4Mazda RX4 Wag

    Datsun 710
    Hornet 4 Drive
    Hornet Sportabout
    Valiant
    Duster 360
    Merc 240D
    Merc 230

    Merc 280
    Merc 280C

    Merc 450SE
    Merc 450SL
    Merc 450SLC
    Cadillac FleetwoodLincoln Continental
    Chrysler Imperial
    Fiat 128
    Honda Civic
    Toyota Corolla
    Toyota Corona

    Dodge ChallengerAMC Javelin

    Camaro Z28
    Pontiac Firebird
    Fiat X1−9
    Porsche 914−2
    Lotus Europa
    Ford Pantera L
    Ferrari Dino
    Maserati Bora
    Volvo 142E
    10
    15
    20
    25
    30
    35
    2 3 4 5
    wt
    m
    p
    g

    Figure 10.7: Scatterplot with labels

    202 CHAPTER 10. CUSTOMIZING GRAPHS

    Mazda RX4 Mazda RX4 Wag

    Datsun 710
    Hornet 4 Drive

    Hornet Sportabout Valiant

    Duster 360
    Merc 240D
    Merc 230
    Merc 280

    Merc 280C Merc 450SE
    Merc 450SL

    Merc 450SLC
    Cadillac Fleetwood
    Lincoln Continental
    Chrysler Imperial
    Fiat 128
    Honda Civic
    Toyota Corolla
    Toyota Corona
    Dodge Challenger
    AMC Javelin
    Camaro Z28
    Pontiac Firebird
    Fiat X1−9
    Porsche 914−2
    Lotus Europa
    Ford Pantera L
    Ferrari Dino
    Maserati Bora
    Volvo 142E
    10
    15
    20
    25
    30
    35
    2 3 4 5
    wt
    m
    p
    g

    Much better.

    Adding labels to bar charts is covered in the aptly named labeling bars section.

    10.6.1.2 Adding additional information

    We can place text anywhere on a graph using the annotate function. The format is

    annotate(“text”,
    x, y,
    label = “Some text”,
    color = “colorname”,
    size=textsize)

    where x and y are the coordinates on which to place the text. The color and size parameters are optional.

    By default, the text will be centered. Use hjust and vjust to change the alignment.

    • hjust 0 = left justified, 0.5 = centered, and 1 = right centered.
    • vjust 0 = above, 0.5 = centered, and 1 = below.

    Continuing the previous example.

    # scatterplot with explanatory text
    data(mtcars)
    library(ggrepel)

    10.6. ANNOTATIONS 203

    Mazda RX4
    Mazda RX4 Wag
    Datsun 710
    Hornet 4 Drive
    Hornet Sportabout Valiant
    Duster 360
    Merc 240D
    Merc 230
    Merc 280
    Merc 280C Merc 450SEMerc 450SL
    Merc 450SLC
    Cadillac Fleetwood
    Lincoln Continental
    Chrysler Imperial
    Fiat 128
    Honda Civic
    Toyota Corolla
    Toyota Corona
    Dodge Challenger
    AMC Javelin
    Camaro Z28
    Pontiac Firebird
    Fiat X1−9
    Porsche 914−2
    Lotus Europa
    Ford Pantera L
    Ferrari Dino
    Maserati Bora
    Volvo 142E

    The relationship between car weight
    and mileage appears to be roughly linear

    10
    15
    20
    25
    30
    35

    2 3 4 5 6

    wt
    m
    p
    g

    Figure 10.8: Scatterplot with arranged labels

    txt <- paste("The relationship between car weight", "and mileage appears to be roughly linear", sep = "\n")

    ggplot(mtcars, aes(x = wt, y = mpg)) +
    geom_point(color = “red”) +
    geom_text_repel(label = row.names(mtcars),

    size=3) +
    ggplot2::annotate(“text”,

    6, 30,
    label=txt,
    color = “red”,
    hjust = 1) +

    theme_bw()

    See this blog post for more details.

    10.6.2 Adding lines

    Horizontal and vertical lines can be added using:

    • geom_hline(yintercept = a)

    https://stackoverflow.com/questions/7263849/what-do-hjust-and-vjust-do-when-making-a-plot-using-ggplot

    204 CHAPTER 10. CUSTOMIZING GRAPHS

    • geom_vline(xintercept = b)

    where a is a number on the y-axis and b is a number on the x-axis respectively. Other option include
    linetype and color.

    # add annotation line and text label
    min_cty <- min(mpg$cty) mean_hwy <- mean(mpg$hwy) ggplot(mpg,

    aes(x = cty, y=hwy, color=drv)) +
    geom_point(size = 3) +
    geom_hline(yintercept = mean_hwy,

    color = “darkred”,
    linetype = “dashed”) +

    ggplot2::annotate(“text”,
    min_cty,
    mean_hwy + 1,
    label = “Mean”,
    color = “darkred”) +

    labs(title = “Mileage by drive type”,
    x = “City miles per gallon”,
    y = “Highway miles per gallon”,
    color = “Drive”)

    Mean

    20
    30
    40

    10 15 20 25 30 35

    City miles per gallon

    H
    ig
    h
    w
    a
    y
    m
    ile
    s
    p
    e
    r
    g
    a
    llo
    n
    Drive
    4
    f
    r

    Mileage by drive type

    We could add a vertical line for the mean city miles per gallon as well. In any case, always label annotation
    lines in some way. Otherwise the reader will not know what they mean.

    10.6. ANNOTATIONS 205

    10.6.3 Highlighting a single group

    Sometimes you want to highlight a single group in your graph. The gghighlight function in the gghighlight
    package is designed for this.

    Here is an example with a scatterplot.

    # highlight a set of points
    library(ggplot2)
    library(gghighlight)
    ggplot(mpg, aes(x = cty, y = hwy)) +
    geom_point(color = “red”,

    size=2) +
    gghighlight(class == “midsize”)

    20
    30
    40
    10 15 20 25 30 35
    cty
    h
    w
    y

    Below is an example with a bar chart.

    # highlight a single bar
    library(gghighlight)
    ggplot(mpg, aes(x = class)) +
    geom_bar(fill = “red”) +
    gghighlight(class == “midsize”)

    https://www.rdocumentation.org/packages/gghighlight/versions/0.0.1/topics/gghighlight

    206 CHAPTER 10. CUSTOMIZING GRAPHS

    0
    20
    40
    60
    2seater compact midsize minivan pickup subcompact suv
    class
    co
    u
    n
    t

    There is nothing here that could not be done with base graphics, but it is more convenient.

    10.7 Themes

    ggplot2 themes control the appearance of all non-data related components of a plot. You can change the
    look and feel of a graph by altering the elements of its theme.

    10.7.1 Altering theme elements

    The theme function is used to modify individual components of a theme.
    The parameters of the theme function are described in a cheatsheet developed from the online help.
    Consider the following graph. It shows the number of male and female faculty by rank and discipline at a
    particular university in 2008-2009. The data come from the Salaries for Professors dataset.

    # create graph
    data(Salaries, package = “carData”)
    p <- ggplot(Salaries, aes(x = rank, fill = sex)) + geom_bar() + facet_wrap(~discipline) + labs(title = "Academic Rank by Gender and Discipline",

    x = “Rank”,
    y = “Frequency”,
    fill = “Gender”)

    p

    10.7. THEMES 207

    A B

    AsstProf AssocProf Prof AsstProf AssocProf Prof

    0
    50
    100
    Rank
    F
    re
    q
    u
    e
    n

    cy Gender

    Female
    Male

    Academic Rank by Gender and Discipline

    Figure 10.9: Graph with default theme

    Let’s make some changes to the theme.

    • Change label text from black to navy blue

    • Change the panel background color from grey to white
    • Add solid grey lines for major y-axis grid lines
    • Add dashed grey lines for minor y-axis grid lines
    • Eliminate x-axis grid lines

    • Change the strip background color to white with a grey border

    Using the cheat sheet gives us

    p +
    theme(text = element_text(color = “navy”),

    panel.background = element_rect(fill = “white”),
    panel.grid.major.y = element_line(color = “grey”),
    panel.grid.minor.y = element_line(color = “grey”,

    linetype = “dashed”),
    panel.grid.major.x = element_blank(),
    panel.grid.minor.x = element_blank(),
    strip.background = element_rect(fill = “white”, color=”grey”))

    208 CHAPTER 10. CUSTOMIZING GRAPHS

    A B
    AsstProf AssocProf Prof AsstProf AssocProf Prof
    0
    50
    100
    Rank
    F
    re
    q
    u
    e
    n
    cy Gender
    Female
    Male
    Academic Rank by Gender and Discipline

    Wow, this looks pretty awful, but you get the idea.

    10.7.1.1 ggThemeAssist

    If you would like to create your own theme using a GUI, take a look at ggThemeAssist. After you install
    the package, a new menu item will appear under Addins in RStudio.

    https://github.com/calligross/ggthemeassist

    10.7. THEMES 209

    Highlight the code that creates your graph, then choose the ggThemeAssist option from the Addins
    drop-down menu. You can change many of the features of your theme using point-and-click. When you’re
    done, the theme code will be appended to your graph code.

    10.7.2 Pre-packaged themes

    I’m not a very good artist (just look at the last example), so I often look for pre-packaged themes that can
    be applied to my graphs. There are many available.

    Some come with ggplot2. These include theme_classic, theme_dark, theme_gray, theme_grey, theme_light
    theme_linedraw, theme_minimal, and theme_void. We’ve used theme_minimal often in this book. Others
    are available through add-on packages.

    10.7.2.1 ggthemes

    The ggthemes package come with 19 themes.

    Theme Description
    theme_base Theme Base
    theme_calc Theme Calc
    theme_economist ggplot color theme based on the Economist
    theme_economist_white ggplot color theme based on the Economist
    theme_excel ggplot color theme based on old Excel plots

    210 CHAPTER 10. CUSTOMIZING GRAPHS

    Theme Description
    theme_few Theme based on Few’s “Practical Rules for Using Color in Charts”
    theme_fivethirtyeight Theme inspired by fivethirtyeight.com plots
    theme_foundation Foundation Theme
    theme_gdocs Theme with Google Docs Chart defaults
    theme_hc Highcharts JS theme
    theme_igray Inverse gray theme
    theme_map Clean theme for maps
    theme_pander A ggplot theme originated from the pander package
    theme_par Theme which takes its values from the current ‘base’ graphics

    parameter values in ‘par’.
    theme_solarized ggplot color themes based on the Solarized palette
    theme_solarized_2 ggplot color themes based on the Solarized palette
    theme_solid Theme with nothing other than a background color
    theme_stata Themes based on Stata graph schemes
    theme_tufte Tufte Maximal Data, Minimal Ink Theme
    theme_wsj Wall Street Journal theme

    To demonstrate their use, we’ll first create and save a graph.

    # create basic plot
    library(ggplot2)
    p <- ggplot(mpg,

    aes(x = displ, y=hwy,
    color = class)) +

    geom_point(size = 3,
    alpha = .5) +

    labs(title = “Mileage by engine displacement”,
    subtitle = “Data from 1999 and 2008”,
    caption = “Source: EPA (http://fueleconomy.gov)”,
    x = “Engine displacement (litres)”,
    y = “Highway miles per gallon”,
    color = “Car Class”)

    # display graph
    p

    Now let’s apply some themes.

    # add economist theme
    library(ggthemes)
    p + theme_economist()

    # add fivethirtyeight theme
    p + theme_fivethirtyeight()

    # add wsj theme
    p + theme_wsj(base_size=8)

    10.7. THEMES 211

    20
    30
    40
    2 3 4 5 6 7
    Engine displacement (litres)
    H
    ig
    h
    w
    a
    y
    m
    ile
    s
    p
    e
    r
    g
    a

    llo
    n Car Class

    2seater
    compact
    midsize
    minivan
    pickup
    subcompact
    suv
    Data from 1999 and 2008
    Mileage by engine displacement
    Source: EPA (http://fueleconomy.gov)

    Figure 10.10: Default theme

    212 CHAPTER 10. CUSTOMIZING GRAPHS

    20
    30
    40

    2 3 4 5 6 7
    Engine displacement (litres)

    H
    ig
    h
    w
    a
    y
    m
    ile
    s
    p
    e
    r
    g
    a
    llo
    n

    Car Class
    2seater

    compact

    midsize
    minivan

    pickup
    subcompact

    suv
    Data from 1999 and 2008
    Mileage by engine displacement
    Source: EPA (http://fueleconomy.gov)

    Figure 10.11: Economist theme

    10.7. THEMES 213

    20
    30
    40
    2 3 4 5 6 7
    Car Class
    2seater
    compact
    midsize
    minivan
    pickup
    subcompact
    suv

    Data from 1999 and 2008
    Mileage by engine displacement

    Source: EPA (http://fueleconomy.gov)

    Figure 10.12: Five Thirty Eight theme

    214 CHAPTER 10. CUSTOMIZING GRAPHS

    20
    30
    40
    2 3 4 5 6 7
    Car Class
    2seater
    compact
    midsize
    minivan
    pickup
    subcompact
    suv
    Data from 1999 and 2008
    Mileage by engine displacement
    Source: EPA (http://fueleconomy.gov)

    By default, the font size for the wsj theme is usually too large. Changing the base_size option can help.

    Each theme also comes with scales for colors and fills. In the next example, both the few theme and colors
    are used.

    # add few theme
    p + theme_few() + scale_color_few()

    10.7. THEMES 215

    20
    30
    40
    2 3 4 5 6 7
    Engine displacement (litres)
    H
    ig
    h
    w
    a
    y
    m
    ile
    s
    p
    e
    r
    g
    a
    llo
    n Car Class
    2seater
    compact
    midsize
    minivan
    pickup
    subcompact
    suv
    Data from 1999 and 2008
    Mileage by engine displacement
    Source: EPA (http://fueleconomy.gov)

    Try out different themes and scales to find one that you like.

    10.7.2.2 hrbrthemes

    The hrbrthemes package is focused on typography-centric themes. The results are charts that tend to have
    a clean look.

    Continuing the example plot from above

    # add few theme
    library(hrbrthemes)
    p + theme_ipsum()

    (https://github.com/hrbrmstr/hrbrthemes)

    216 CHAPTER 10. CUSTOMIZING GRAPHS

    20
    30
    40
    2 3 4 5 6 7
    Engine displacement (litres)
    H
    ig

    hw
    ay

    m
    ile

    s
    pe

    r g
    al

    lo
    n
    Car Class
    2seater
    compact
    midsize
    minivan
    pickup
    subcompact
    suv
    Data from 1999 and 2008
    Mileage by engine displacement
    Source: EPA (http://fueleconomy.gov)

    See the hrbrthemes homepage for additional examples.

    10.7.2.3 ggthemer

    The ggthemer package offers a wide range of themes (17 as of this printing).

    The package is not available on CRAN and must be installed from GitHub.

    # one time install
    install.packages(“devtools”)
    devtools::install_github(‘cttobin/ggthemr’)

    The functions work a bit differently. Use the ggthemr(“themename”) function to set future graphs to a
    given theme. Use

    ggthemr_reset()

    to return future graphs to the ggplot2 default theme.

    Current themes include flat, flat dark, camoflauge, chalk, copper, dust, earth, fresh, grape, grass, greyscale,
    light, lilac, pale, sea, sky, and solarized.

    # set graphs to the flat dark theme
    library(ggthemr)
    ggthemr(“flat dark”)
    p

    ggthemr_reset()

    https://github.com/hrbrmstr/hrbrthemes

    https://github.com/cttobin/ggthemr

    10.7. THEMES 217

    20
    30
    40
    2 3 4 5 6 7
    Engine displacement (litres)
    H
    ig
    h
    w
    a
    y
    m
    ile
    s
    p
    e
    r
    g
    a
    llo
    n Car Class
    2seater
    compact
    midsize
    minivan
    pickup
    subcompact
    suv
    Data from 1999 and 2008
    Mileage by engine displacement
    Source: EPA (http://fueleconomy.gov)

    Figure 10.13: Ipsum theme

    218 CHAPTER 10. CUSTOMIZING GRAPHS

    I would not actually use this theme for this particular graph. It is difficult to distinguish colors. Which
    green represents compact cars and which represents subcompact cars?

    Select a theme that best conveys the graph’s information to your audience.

    Chapter 11

    Saving Graphs

    Graphs can be saved via the RStudio interface or through code.

    11.1 Via menus

    To save a graph using the RStudio menus, go to the Plots tab and choose Export.

    11.2 Via code

    Any ggplot2 graph can be saved as an object. Then you can use the ggsave function to save the graph to
    disk.

    # save a graph
    library(ggplot2)
    p <- ggplot(mtcars,

    aes(x = wt , y = mpg)) +
    geom_point()

    ggsave(p, filename = “mygraph “)

    The graph will be saved in the format defined by the file extension (png in the example above). Common
    formats are pdf, jpeg, tiff, png, svg, and wmf (windows only).

    11.3 File formats

    Graphs can be saved in several formats. The most popular choices are given below.

    Format Extension
    Portable Document Format pdf
    JPEG jpeg
    Tagged Image File Format tiff
    Portable Network Graphics png
    Scaleable Vector Graphics svg
    Windows Metafile wmf

    219

    https://www.rdocumentation.org/packages/ggplot2/versions/1.0.0/topics/ggsave

    220 CHAPTER 11. SAVING GRAPHS

    Figure 11.1: Export menu

    11.4. EXTERNAL EDITING 221

    The pdf, svg, and wmf formats are lossless – they resize without fuzziness or pixelation. The other formats
    are lossy – they will pixelate when resized. This is especially noticeable when small images are enlarged.

    If you are creating graphs for webpages, the png format is recommended.

    The jpeg and tif formats are usually reserved for photographs.

    The wmf format is usually recommended for graphs that will appear in Microsoft Word or PowerPoint
    documents. MS Office does not support pdf or svg files, and the wmf format will rescale well. However, note
    that wmf files will lose any transparency settings that have been set.

    If you want to continue editing the graph after saving it, use the pdf or svg format.

    11.4 External editing

    Sometimes it’s difficult to get a graph just right programmatically. Most magazines and newspapers (print
    and electronic) fine-tune graphs after they have been created. They change the fonts, move labels around,
    add callouts, change colors, add additional images or logos, and the like.

    If you save the graph in svg or pdf format, you can use a vector graphics editing program to modify it using
    point and click tools. Two popular vector graphics editors are Illustrator and Inkscape.

    Inkscape is an opensource application that can be freely downloaded for Mac OS X, Windows, and Linux.
    Open the graph file in Inkscape, edit it to suite your needs, and save it in the format desired.

    https://inkscape.org/en/

    222 CHAPTER 11. SAVING GRAPHS

    Figure 11.2: Inkscape

    Chapter 12

    Interactive Graphs

    This book has focused on static graphs – images that can be placed in papers, posters, slides, and journal
    articles. Through connections with JavaScript libraries, R can also generate interactive graphs that can be
    placed on web pages.

    Interactive graphics are beyond the scope of this book. This chapter will point out some of the best options,
    so you can explore them further. Most use htmlwidgets for R.

    Note that if your are reading this on an iPad, some features will not be available (such as
    mouseover).

    12.1 leaflet

    Leaflet is a javascript library for interactive maps. The leaflet package can be used to generate leaflet graphs
    R.

    The following is a simple example. Click on the pin, zoom in and out with the +/- buttons or mouse wheel,
    and drag the map around with the hand cursor.

    # create leaflet graph
    library(leaflet)
    leaflet() %>%
    addTiles() %>%
    addMarkers(lng=-72.6560002,

    lat=41.5541829,
    popup=”The birthplace of quantitative wisdom.

    No, Waldo is not here.”)

    You can create both dot density and choropleth maps. The package website offers a detailed tutorial and
    numerous examples.

    12.2 plotly

    Plotly is both a commercial service and open source product for creating high end interactive visualizations.
    The plotly package allows you to create plotly interactive graphs from within R. In addition, any ggplot2
    graph can be turned into a plotly graph.

    223

    https://www.htmlwidgets.org/index.html

    https://leafletjs.com/

    https://rstudio.github.io/leaflet/

    https://rstudio.github.io/leaflet/

    https://plot.ly/

    224 CHAPTER 12. INTERACTIVE GRAPHS

    ++

    Leaf let | © OpenStreetMap contributors, CC-BY-SA

    Figure 12.1: Leaflet graph

    12.2. PLOTLY 225

    2 3 4 5 6 7
    20
    30

    40
    2seater

    compact
    midsize
    minivan
    pickup
    subcompact
    suv

    Engine displacement

    H
    ig
    h
    w

    a
    y
    M

    ile
    a
    g
    e

    Car Class

    Figure 12.2: Plotly graph

    Using the Fuel Economy data, we’ll create an interactive graph displaying highway mileage vs. engine displace
    by car class.

    Mousing over a point displays information about that point. Clicking on a legend point, removes that class
    from the plot. Clicking on it again, returns it.

    # create plotly graph.
    library(ggplot2)
    library(plotly)

    p <- ggplot(mpg, aes(x=displ, y=hwy, color=class)) +

    geom_point(size=3) +
    labs(x = “Engine displacement”,

    y = “Highway Mileage”,
    color = “Car Class”) +

    theme_bw()

    ggplotly(p)

    There are several sources of good information on plotly. See the plotly R pages and the online plotly for R

    https://plot.ly/r/

    https://plotly-book.cpsievert.me/

    226 CHAPTER 12. INTERACTIVE GRAPHS

    book. Additionally, DataCamp offers a free interactive tutorial.

    12.3 rbokeh

    rbokeh is an interface to the Bokeh graphics library.

    We’ll create another graph using the mtcars dataset, showing engine displace vs. miles per gallon by number
    of engine cylinders. Mouse over, and try the various control to the right of the image.

    # create rbokeh graph

    # prepare data
    data(mtcars)
    mtcars$name <- row.names(mtcars) mtcars$cyl <- factor(mtcars$cyl)

    # graph it
    library(rbokeh)
    figure() %>%
    ly_points(disp, mpg, data=mtcars,

    color = cyl, glyph = cyl,
    hover = list(name, mpg, wt))

    You can create some remarkable graphs with Bokeh. See the homepage for examples.

    12.4 rCharts

    rCharts can create a wide range of interactive graphics. In the example below, a bar chart of hair vs. eye
    color is created. Try mousing over the bars. You can interactively choose between grouped vs. stacked plots
    and include or exclude cases by eye color.

    # create interactive bar chart
    library(rCharts)
    hair_eye_male = subset(as.data.frame(HairEyeColor),

    Sex == “Male”)
    n1 <- nPlot(Freq ~ Hair,

    group = ‘Eye’,
    data = hair_eye_male,
    type = ‘multiBarChart’

    )
    n1$set(width = 600)
    n1$show(‘iframesrc’, cdn=TRUE)

    To learn more, visit the project homepage.

    12.5 highcharter

    The highcharter package provides access to the Highcharts JavaScript graphics library. The library is free
    for non-commercial use.

    https://www.datacamp.com/community/blog/a-free-interactive-plotly-r-tutorial

    http://hafen.github.io/rbokeh

    https://bokeh.pydata.org/en/latest/

    http://hafen.github.io/rbokeh/

    https://ramnathv.github.io/rCharts/

    https://github.com/ramnathv/rCharts

    http://jkunst.com/highcharter/

    https://www.highcharts.com/

    12.5. HIGHCHARTER 227

    Figure 12.3: Bokeh graph

    228 CHAPTER 12. INTERACTIVE GRAPHS

    Let’s use highcharter to create an interactive line chart displaying life expectancy over time for several
    Asian countries. The data come from the Gapminder dataset. Again, mouse over the lines and try clicking
    on the legend names.

    # create interactive line chart
    library(highcharter)

    # prepare data
    data(gapminder, package = “gapminder”)
    library(dplyr)
    asia <- gapminder %>%
    filter(continent == “Asia”) %>%
    select(year, country, lifeExp)

    # convert to long to wide format
    library(tidyr)
    plotdata <- spread(asia, country, lifeExp)

    # generate graph
    h <- highchart() %>%
    hc_xAxis(categories = plotdata$year) %>%
    hc_add_series(name = “Afghanistan”,

    data = plotdata$Afghanistan) %>%
    hc_add_series(name = “Bahrain”,

    data = plotdata$Bahrain) %>%
    hc_add_series(name = “Cambodia”,

    data = plotdata$Cambodia) %>%
    hc_add_series(name = “China”,

    data = plotdata$China) %>%
    hc_add_series(name = “India”,

    data = plotdata$India) %>%
    hc_add_series(name = “Iran”,

    data = plotdata$Iran)

    h

    Like all of the interactive graphs in this chapter, there are options that allow the graph to be customized.

    # customize interactive line chart
    h <- h %>%
    hc_title(text = “Life Expectancy by Country”,

    margin = 20,
    align = “left”,
    style = list(color = “steelblue”)) %>%

    hc_subtitle(text = “1952 to 2007”,
    align = “left”,
    style = list(color = “#2b908f”,

    fontWeight = “bold”)) %>%
    hc_credits(enabled = TRUE, # add credits

    text = “Gapminder Data”,
    href = “http://gapminder.com”) %>%

    hc_legend(align = “left”,
    verticalAlign = “top”,
    layout = “vertical”,

    12.5. HIGHCHARTER 229

    AfghanistanAfghanistan BahrainBahrain CambodiaCambodia

    ChinaChina IndiaIndia IranIran

    19
    52

    19
    57

    19
    62

    19
    67

    19
    72

    19
    77

    19
    82

    19
    87

    19
    92

    19
    97

    20
    02

    20
    07

    25
    50
    75
    100

    Figure 12.4: HighCharts graph

    230 CHAPTER 12. INTERACTIVE GRAPHS

    Life Expectancy by Country
    1 9 5 2 to 2 0 0 71 9 5 2 to 2 0 0 7

    Afgha nista nAfgha nista n

    B a hra inB a hra in

    Ca mb od iaCa mb od ia

    ChinaChina

    Ind iaInd ia

    Ira nIra n

    19
    52
    19
    62
    19
    72
    19
    82
    19
    92
    20
    02
    25
    50
    75
    100

    Gapminder Data

    Figure 12.5: HighCharts graph with customization

    x = 0,
    y = 100) %>%

    hc_tooltip(crosshairs = TRUE,
    backgroundColor = “#FCFFC5”,
    shared = TRUE,
    borderWidth = 4) %>%

    hc_exporting(enabled = TRUE)

    h

    There is a wealth of interactive plots available through the marriage of R and JavaScript. Choose the
    approach that works for you.

    Chapter 13

    Advice / Best Practices

    This section contains some thoughts on what makes a good data visualization. Most come from books and
    posts that others have written, but I’ll take responsibility for putting them here.

    13.1 Labeling

    Everything on your graph should be labeled including the

    • title – a clear short title letting the reader know what they’re looking at

    – Relationship between experience and wages by gender

    • subtitle – an optional second (smaller font) title giving additional information

    – Years 2016-2018

    • caption – source attribution for the data

    – source: US Department of Labor – www.bls.gov/bls/blswage.htm

    • axis labels – clear labels for the x and y axes

    – short but descriptive
    – include units of measurement

    ∗ Engine displacement (cu. in.)
    ∗ Survival time (days)
    ∗ Patient age (years)

    • legend – short informative title and labels

    – Male and Female – not 0 and 1 !!

    • lines and bars – label any trend lines, annotation lines, and error bars

    Basically, the reader should be able to understand your graph without having to wade through paragraphs
    of text. When in doubt, show your data visualization to someone who has not read your article or poster
    and ask them if anything is unclear.

    231

    232 CHAPTER 13. ADVICE / BEST PRACTICES

    Figure 13.1: Graph with chart junk

    13.2 Signal to noise ratio

    In data science, the goal of data visualization is to communicate information. Anything that doesn’t support
    this goals should be reduced or eliminated.

    Chart Junk – visual elements of charts that aren’t necessary to comprehend the information
    represented by the chart or that distract from this information. (Wikipedia)

    Consider the following graph. The goal is to compare the calories in bacon to the other four foods.

    (Disclaimer: I got this graph from somewhere, but I can’t remember where. If you know, please tell me, so
    that I can make a proper attribution. Also bacon always wins.)

    If the goal is to compare the calories in bacon to other foods, much of this visualization is unnecessary and
    distracts from the task.

    Think of all the things that are superfluous:

    • the tan background border
    • the grey background color
    • the 3-D effect on the bars
    • the legend (it doesn’t add anything, the bars are already labeled)
    • the colors of bars (they don’t signify anything)

    https://en.wikipedia.org/wiki/Chartjunk

    13.2. SIGNAL TO NOISE RATIO 233

    Figure 13.2: Graph with chart junk removed

    234 CHAPTER 13. ADVICE / BEST PRACTICES

    Here is an alternative.

    The chart junk has been removed. In addition

    • the x-axis label isn’t needed – these are obviously foods
    • the y-axis is given a better label
    • the title has been simplified (the word different in redundant)
    • the bacon bar is the only colored bar – it makes comparisons easier
    • the grid lines have been made lighter (gray rather than black) so they don’t distract

    I may have gone a bit far leaving out the x-axis label. It’s a fine line, knowing when to stop simplifying.

    In general, you want to reduce chart junk to a minimum. In other words, more signal, less noise.

    13.3 Color choice

    Color choice is about more than aesthetics. Choose colors that help convey the information contained in the
    plot.

    The article How to Pick the Perfect Color Combination for Your Data Visualization is a great place to start.

    Basically, think about selecting among sequential, diverging, and qualitative color schemes:

    • sequential – for plotting a quantitative variable that goes from low to high
    • diverging – for contrasting the extremes (low, medium, and high) of a quantitative variable
    • qualitative – for distinguishing among the levels of a categorical variable

    The article above can help you to choose among these schemes. Additionally, the RColorBrewer package
    provides palettes categorized in this way.

    Other things to keep in mind:

    • Make sure that text is legible – avoid dark text on dark backgrounds, light text on light backgrounds,
    and colors that clash in a discordant fashion (i.e. they hurt to look at!)

    • Avoid combinations of red and green – it can be difficult for a colorblind audience to distinguish these
    colors

    Other helpful resources are Practical Rules for Using Color in Charts and Expert Color Choices for Presenting
    Data.

    13.4 y-Axis scaling

    OK, this is a big one. You can make an effect seem massive or insignificant depending on how you scale a
    numeric y-axis.

    Consider the following the example comparing the 9-month salaries of male and female assistant professors.
    The data come from the Academic Salaries dataset.

    # load data
    data(Salaries, package=”carData”)

    # get means, standard deviations, and

    https://blog.hubspot.com/marketing/color-combination-data-visualization

    http://www.perceptualedge.com/articles/visual_business_intelligence/rules_for_using_color

    http://www.stonesc.com/pubs/Expert%20Color%20Choices

    http://www.stonesc.com/pubs/Expert%20Color%20Choices

    13.4. Y-AXIS SCALING 235

    # 95% confidence intervals for
    # assistant professor salary by sex
    library(dplyr)
    df <- Salaries %>%
    filter(rank == “AsstProf”) %>%
    group_by(sex) %>%
    summarize(n = n(),

    mean = mean(salary),
    sd = sd(salary),
    se = sd / sqrt(n),
    ci = qt(0.975, df = n – 1) * se)

    df

    ## # A tibble: 2 x 6
    ## sex n mean sd se ci
    ##
    ## 1 Female 11 78050. 9372. 2826. 6296.
    ## 2 Male 56 81311. 7901. 1056. 2116.

    # create and save the plot
    library(ggplot2)
    p <- ggplot(df,

    aes(x = sex, y = mean, group=1)) +
    geom_point(size = 4) +
    geom_line() +
    scale_y_continuous(limits = c(77000, 82000),

    label = scales::dollar) +
    labs(title = “Mean salary differences by gender”,

    subtitle = “9-mo academic salary in 2007-2008”,
    caption = paste(“source: Fox J. and Weisberg, S. (2011)”,

    “An R Companion to Applied Regression,”,
    “Second Edition Sage”),

    x = “Gender”,
    y = “Salary”) +

    scale_y_continuous(labels = scales::dollar)

    First, let’s plot this with a y-axis going from 77,000 to 82,000.

    # plot in a narrow range of y
    p + scale_y_continuous(limits=c(77000, 82000))

    There appears to be a very large gender difference.
    Next, let’s plot the same data with the y-axis going from 0 to 125,000.

    # plot in a wide range of y
    p + scale_y_continuous(limits = c(0, 125000))

    There doesn’t appear to be any gender difference!
    The goal of ethical data visualization is to represent findings with as little distortion as possible. This means
    choosing an appropriate range for the y-axis. Bar charts should almost always start at y = 0. For other
    charts, the limits really depends on a subject matter knowledge of the expected range of values.

    236 CHAPTER 13. ADVICE / BEST PRACTICES

    77000

    78000

    79000

    80000

    81000

    82000

    Female Male
    Gender
    S
    a
    la
    ry

    9−mo academic salary in 2007−2008

    Mean salary differences by gender

    source: Fox J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition Sage

    Figure 13.3: Plot with limited range of Y

    13.4. Y-AXIS SCALING 237

    0

    40000

    80000
    120000
    Female Male
    Gender
    S
    a
    la
    ry
    9−mo academic salary in 2007−2008
    Mean salary differences by gender
    source: Fox J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition Sage

    Figure 13.4: Plot with limited range of Y

    238 CHAPTER 13. ADVICE / BEST PRACTICES

    We can also improve the graph by adding in an indicator of the uncertainty (see the section on Mean/SE
    plots).

    # plot with confidence limits
    p + geom_errorbar(aes(ymin = mean – ci,

    ymax = mean + ci),
    width = .1) +

    ggplot2::annotate(“text”,
    label = “I-bars are 95% \nconfidence intervals”,
    x=2,
    y=73500,
    fontface = “italic”,
    size = 3)

    I−bars are 95%
    confidence intervals

    $75,000

    $80,000
    Female Male
    Gender
    S
    a
    la
    ry
    9−mo academic salary in 2007−2008
    Mean salary differences by gender
    source: Fox J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition Sage

    The difference doesn’t appear to exceeds chance variation.

    13.5 Attribution

    Unless it’s your data, each graphic should come with an attribution – a note directing the reader to the
    source of the data. This will usually appear in the caption for the graph.

    13.6 Going further

    If you would like to learn more about ggplot2 there are several good sources, including

    13.7. FINAL NOTE 239

    • the ggplot2 homepage
    • the book ggplot2: Elegenat Graphics for Data Anaysis (be sure to get the second edition)
    • the eBook R for Data Science – the data visualization chapter
    • the ggplot2 cheatsheet

    If you would like to learn more about data visualization in general, here are some useful resources.

    • Harvard Business Reviews – Visualizations that really work

    • the website Information is Beautiful
    • the book Beautiful Data: The Stories Behind Elegant Data Solutions
    • the Wall Street Journal’s – Guide to Information Graphics
    • the book The Truthful Art

    13.7 Final Note

    With the growth (or should I say deluge?) of readily available data, the field of data visualization is exploding.
    This explosion is supported by the availability of exciting new graphical tools. It’s a great time to learn and
    explore. Enjoy!

    https://ggplot2.tidyverse.org

    https://www.springer.com/us/book/9780387981413

    http://r4ds.had.co.nz/data-visualisation.html

    https://www.rstudio.com/wp-content/uploads/2015/12/ggplot2-cheatsheet-2.0

    https://hbr.org/2016/06/visualizations-that-really-work

    https://informationisbeautiful.net/

    240 CHAPTER 13. ADVICE / BEST PRACTICES

    Appendix A

    Datasets

    The appendix describes the datasets used in this book.

    A.1 Academic salaries

    The Salaries for Professors dataset comes from the carData package. It describes the 9 month academic
    salaries of 397 college professors at a single institution in 2008-2009. The data were collected as part of the
    administration’s monitoring of gender differences in salary.

    The dataset can be accessed using

    data(Salaries, package=”carData”)

    It is also provided in other formats, so that you can practice importing data.

    Format File
    Comma delimited text Salaries.csv
    Tab delimited text Salaries.txt
    Excel spreadsheet Salaries.xlsx
    SAS file Salaries.sas7bdat
    Stata file Salaries.dta
    SPSS file Salaries.sav

    A.2 Starwars

    The starwars dataset comes from the dplyr package. It describes 13 characteristics of 87 characters from
    the Starwars universe. The data are extracted from the Star Wars API.

    A.3 Mammal sleep

    The msleep dataset comes from the ggplot2 package. It is an updated and expanded version of a dataset
    by Save and West, describing the sleeping characteristics of 83 mammals.

    The dataset can be accessed using

    241

    https://www.rdocumentation.org/packages/carData/versions/3.0-1/topics/Salaries

    Salaries.csv

    Salaries.txt

    Salaries.xlsx

    Salaries.sas7bdat

    Salaries.dta

    Salaries.sav

    https://dplyr.tidyverse.org/reference/starwars.html

    http://swapi.co

    http://ggplot2.tidyverse.org/reference/msleep.html

    242 APPENDIX A. DATASETS

    data(msleep, package=”ggplot2″)

    A.4 Marriage records

    The Marriage dataset comes from the mosiacData package. It is contains the marriage records of 98 indi-
    viduals collected from a probate court in Mobile County, Alabama.

    The dataset can be accessed using

    data(Marriage, package=”mosaicData”)

    A.5 Fuel economy data

    The mpg dataset from the ggplot2 package, contains fuel economy data for 38 popular models of car, for
    the years 1999 and 2008.

    The dataset can be accessed using

    data(mpg, package=”ggplot2″)

    A.6 Gapminder data

    The gapminder dataset from the gapminder package, contains longitudinal data (1952-2007) on life ex-
    pectancy, GDP per capita, and population for 142 countries.

    The dataset can be accessed using
    data(gapminder, package=”gapminder”)

    A.7 Current Population Survey (1985)

    The CPS85 dataset from the mosaicData package, contains 1985 data on wages and other characteristics of
    workers.

    The dataset can be accessed using

    data(CPS85, package=”mosaicData”)

    A.8 Houston crime data

    The crime dataset from the ggmap package, contains the time, date, and location of six types of crimes in
    Houston, Texas between January 2010 and August 2010.

    The dataset can be accessed using

    https://rdrr.io/cran/mosaicData/man/Marriage.html

    https://ggplot2.tidyverse.org/reference/mpg.html

    https://www.rdocumentation.org/packages/gapminder/versions/0.3.0/topics/gapminder

    https://www.rdocumentation.org/packages/mosaicData/versions/0.16.0/topics/CPS85

    https://www.rdocumentation.org/packages/ggmap/versions/2.6.1/topics/crime

    A.9. US ECONOMIC TIMESERIES 243

    data(crime, package=”ggmap”)

    A.9 US economic timeseries

    The economics dataset from the ggplot2 package, contains the monthly economic data gathered from Jan
    1967 to Jan 2015.

    The dataset can be accessed using

    data(economics, package=”ggplot2″)

    A.10 Saratoga housing data

    The Saratoga housing dataset contains information on 1,728 houses in Saratoga Country, NY, USA in 2006.
    Variables include price (in thousands of US dollars) and 15 property characteristics (lotsize, living area, age,
    number of bathrooms, etc.)

    The dataset can be accessed using
    data(SaratogaHouses, package=”mosaicData”)

    A.11 US population by age and year

    The uspopage dataset describes the age distribution of the US population from 1900 to 2002.

    The dataset can be accessed using

    data(uspopage, package=”gcookbook”)

    A.12 NCCTG lung cancer data

    The lung dataset describes the survival time of 228 patients with advanced lung cancer from the North
    Central Cancer Treatment Group.

    The dataset can be accessed using

    data(lung, package=”survival”)

    A.13 Titanic data

    The Titanic dataset provides information on the fate of Titanic passengers, based on class, sex, and age.
    The dataset comes in table form with base R. It is provided here as data frame.

    The dataset can be accessed using

    https://ggplot2.tidyverse.org/reference/economics.html

    https://www.rdocumentation.org/packages/mosaicData/versions/0.17.0/topics/SaratogaHouses

    https://www.rdocumentation.org/packages/gcookbook/versions/1.0/topics/uspopage

    https://stat.ethz.ch/R-manual/R-devel/library/survival/html/lung.html

    https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/Titanic.html

    %22titanic.csv%22

    244 APPENDIX A. DATASETS

    library(readr)
    titanic <- read_csv("titanic.csv")

    A.14 JFK Cuban Missle speech

    The John F. Kennedy Address is a raw text file containing the president’s October 22, 1962 speech on the
    Cuban Missle Crisis. The text was obtained from the JFK Presidential Library and Museum.

    The text can be accessed using

    library(readr)
    text <- read_csv("JFKspeech.txt")

    A.15 UK Energy forecast data

    The UK energy forecast dataset contains data forecasts for energy production and consumption in 2050.
    The data are in an RData file that contains two data frames.

    • The node data frame contains the names of the nodes (production and consumption types).

    • The links data fame contains the source (originating node), target (target node), and value (flow
    amount between the nodes).

    The data come from Mike Bostock’s Sankey Diagrams page and the network3D homepage and can be accessed
    with the statement

    load(“Energy.RData”)

    A.16 US Mexican American Population

    The Mexcian American Population data is a raw tab delimited text file containing the percentage of Mexican
    Americans by US state from the 2010 Census. The actual dataset was obtained from Wikipedia.

    The data can be accessed using

    library(readr)
    text <- read_csv("mexican_american.csv")

    %22JFKspeech.txt%22

    https://www.jfklibrary.org/JFK/Historic-Speeches.aspx

    %22Energy.RData%22

    https://bost.ocks.org/mike/sankey/

    https://christophergandrud.github.io/networkD3/

    mexican_american.csv

    https://en.wikipedia.org/wiki/List_of_U.S._states_by_Hispanic_and_Latino_population

    Appendix B

    About the Author

    Robert Kabacoff is a data scientist with 30 years of experience in research methodology, data visualization,
    predictive analytics, and statistical programming.

    As a Professor of the Practice in the Quantiative Analysis Center at Wesleyan University, he teaches courses
    in applied data analysis, machine learning, data journalism, and advance R programming.

    Rob is the author of R in Action: Data analysis and graphics with R (2nd ed.), and maintains a popular
    website on R programming called Quick-R.

    245

    https://www.manning.com/books/r-in-action-second-edition?a_bid=5c2b1e1d&a_aid=RiA2ed

    http://www.statmethods.net

    246 APPENDIX B. ABOUT THE AUTHOR

    Appendix C

    About the QAC

    The Quantitative Analysis Center (QAC) is a collaborative effort of academic and administrative depart-
    ments at Wesleyan University. It coordinates support for quantitative analysis across the curriculum, and
    provides an institutional framework for collaboration across departments and disciplines in the area of data
    analysis. Through its programs and courses, it seeks to facilitate data science education and the integration
    of quantitative teaching and research activities.

    247

    http://www.wesleyan.edu/qac/

    http://www.wesleyan.edu

      Welcome
      Preface
      How to use this book
      Prequisites
      Setup
      Data Preparation
      Importing data
      Cleaning data
      Introduction to ggplot2
      A worked example
      Placing the data and mapping options
      Graphs as objects
      Univariate Graphs
      Categorical
      Quantitative
      Bivariate Graphs
      Categorical vs. Categorical
      Quantitative vs. Quantitative
      Categorical vs. Quantitative
      Multivariate Graphs
      Grouping
      Maps
      Dot density maps
      Choropleth maps
      Time-dependent graphs
      Time series
      Dummbbell charts
      Slope graphs
      Area Charts
      Statistical Models
      Correlation plots
      Linear Regression
      Logistic regression
      Survival plots
      Mosaic plots
      Other Graphs
      3-D Scatterplot
      Biplots
      Bubble charts
      Flow diagrams
      Heatmaps
      Radar charts
      Scatterplot matrix
      Waterfall charts
      Word clouds
      Customizing Graphs
      Axes
      Colors
      Points & Lines
      Legends
      Labels
      Annotations
      Themes
      Saving Graphs
      Via menus
      Via code
      File formats
      External editing
      Interactive Graphs
      leaflet
      plotly
      rbokeh
      rCharts
      highcharter
      Advice / Best Practices
      Labeling
      Signal to noise ratio
      Color choice
      y-Axis scaling
      Attribution
      Going further
      Final Note
      Datasets
      Academic salaries
      Starwars
      Mammal sleep
      Marriage records
      Fuel economy data
      Gapminder data
      Current Population Survey (1985)
      Houston crime data
      US economic timeseries
      Saratoga housing data
      US population by age and year
      NCCTG lung cancer data
      Titanic data
      JFK Cuban Missle speech
      UK Energy forecast data
      US Mexican American Population
      About the Author
      About the QAC

    0.1934533715248108

    0.0006419670535251498

    0.0822523683309555

    0.00039062235737219453

    0.00020638325077015907

    0.0005994652165099978

    0.0005122797447256744

    0.00019562286615837365

    0.2827485203742981

    0.9338552355766296

    0.045008279383182526

    StudyInstanceUID ETT – Abnormal ETT – Borderline ETT – Normal NGT – Abnormal NGT – Borderline NGT – Incompletely Imaged NGT – Normal CVC – Abnormal CVC – Borderline CVC – Normal Swan Ganz Catheter Present
    1.2.826.0.1.3680043.8.498.46923145579096002617106567297135160932 0.005893293768167496 0.1683274209499359 0.669409990310669 0.0017896142089739442 0.006148825399577618 0.01759972609579563 0.9755102396011353 0.054200075566768646 0.1907939910888672 0.8790504336357117 0.8955808877944946
    1.2.826.0.1.3680043.8.498.84006870182611080091824109767561564887 0.00019243397400714457 0.00015190918929874897 0.00015678862109780312 0.00035535215283744037 0.0003184230299666524 0.00014412778546102345 0.00010850530816242099 0.0187043659389019 0.011807749979197979 0.9832414388656616 7.666972669539973e-05
    1.2.826.0.1.3680043.8.498.12219033294413119947515494720687541672 0.0004710309731308371 0.00047030727728269994 0.000671166751999408 0.0008324488298967481 0.001251544221304357 0.00017213585670106113 0.001711521646939218 0.024442249909043312 0.32201284170150757 0.6892597079277039 0.0003315853246022016
    1.2.826.0.1.3680043.8.498.84994474380235968109906845540706092671 0.02327023819088936 0.14830690622329712 0.18400941789150238 0.08410225808620453 0.023654069751501083 0.8903242349624634 0.05149775743484497 0.23516325652599335 0.3952961564064026 0.5733488202095032 0.025719013065099716
    1.2.826.0.1.3680043.8.498.35798987793805669662572108881745201372 0.0007911297725513577 0.0013449908001348376 0.0012434865348041058 0.0019296224927529693 0.0027511403895914555 0.00019236517255194485 0.002377469325438142 0.04061415418982506 0.3877158463001251 0.7143793106079102 0.0005842901882715523
    1.2.826.0.1.3680043.8.498.52954710593046311723768738749277151363 0.0009528106893412769 0.004052333068102598 0.008269431069493294 0.0012686789268627763 0.0022877813316881657 0.00021152586850803345 0.09901921451091766 0.017861543223261833 0.028361693024635315 0.9849672317504883 0.00036076613469049335
    1.2.826.0.1.3680043.8.498.71384799035638755851663721432910077557 0.0002460111863911152 0.00022441099281422794 0.00020096675143577158 0.0003996776358690113 0.00032017589546740055 0.0002391393354628235 0.0001417935563949868 0.10760001093149185 0.17947213351726532 0.7215040922164917 0.00022120815992821008
    1.2.826.0.1.3680043.8.498.59349682847374760364497723639649036063 0.0007745171315036714 0.0009250214206986129 0.0008763055084273219 0.0010497880866751075 0.0014839314389973879 0.0001847998209996149 0.0012108737137168646 0.04665029048919678 0.30231428146362305 0.6374356150627136 0.0005330125568434596
    1.2.826.0.1.3680043.8.498.10720830374190684919832441201434706331 0.0002767994883470237 0.0002741142234299332 0.00022855382121633738 0.000365934130968526 0.0005670152604579926 0.00018125127826351672 0.0005525730084627867 0.08820293843746185 0.6429864168167114 0.31444233655929565 0.00032417773036286235
    1.2.826.0.1.3680043.8.498.52127642387314794943169807150924255820 0.0006780471885576844 0.000701249111443758 0.00162570143584162 0.0024058057460933924 0.004077655263245106 0.0010246660094708204 0.006242843810468912 0.6876316070556641 0.08513332158327103 0.23392963409423828 0.0007637219387106597
    1.2.826.0.1.3680043.8.498.28384405291721835584671579406510164018 0.0001003434881567955 9.982561459764838e-05 0.0002242102345917374 0.00027950727962888777 0.00019956903997808695 0.00019476228044368327 9.171877900371328e-05 0.00943943951278925 0.05255040526390076 0.9624823331832886 7.607571023982018e-05
    1.2.826.0.1.3680043.8.498.39609987698030573832458861557741312327 0.007487221155315638 0.02655925415456295 0.10455887019634247 0.09740392863750458 0.08360196650028229 0.508546769618988 0.20354434847831726 0.04214612767100334 0.14294646680355072 0.6229172945022583 0.006293489132076502
    1.2.826.0.1.3680043.8.498.32298569395553557042104232580341704893 0.0006289141019806266 0.0038757729344069958 0.9907892346382141 0.012706059031188488 0.039338864386081696 0.0162825770676136 0.08010213077068329 0.15896496176719666 0.6450175046920776 0.3606494069099426 0.0009296612697653472
    1.2.826.0.1.3680043.8.498.41159939936618212666488837567243042890 0.00030215372680686414 0.0002565458125900477 0.0005921368720009923 0.0006347564049065113 0.0007867009262554348 0.00022306556638795882 0.0002462869742885232 0.027177998796105385 0.5471974015235901 0.5342133641242981 0.0002310734271304682
    1.2.826.0.1.3680043.8.498.44848298255237500807923686638392464834 0.00027958463761024177 0.0003882621240336448 0.00026941660325974226 0.00041937074274756014 0.00022253950010053813 0.0008407782879658043 0.00018692895537242293 0.025812357664108276 0.3583926856517792 0.6971343159675598 0.0002778156194835901
    1.2.826.0.1.3680043.8.498.59173470512576789899637806460604220040 5.630641680909321e-05 0.0008945403387770057 0.999245285987854 0.009957271628081799 0.002891147043555975 0.1528741866350174 0.001062631607055664 0.03584403172135353 0.17757520079612732 0.4476553797721863 0.0001562445831950754
    1.2.826.0.1.3680043.8.498.44496174562420648081469927853149362468 0.0002722474164329469 0.0006596550811082125 0.0006146114901639521 0.00029023431125096977 0.0004342411120887846 6.915501580806449e-05 0.010577901266515255 0.012511392123997211 0.19262097775936127 0.9146872758865356 0.0002725842350628227
    1.2.826.0.1.3680043.8.498.22837069120819517510913518807555066072 0.00020337547175586224 0.00017445569392293692 0.00020860732183791697 0.0002892534830607474 0.0005767671391367912 4.042006185045466e-05 0.00026507809525355697 0.012752309441566467 0.1923578977584839 0.8409600257873535 0.00015688486746512353
    1.2.826.0.1.3680043.8.498.10320627004653051872598405245334562839 0.00048806588165462017 0.0004436541930772364 0.000465264602098614 0.0012561153853312135 0.00046791485510766506 0.0008481846889480948 0.00011242551408940926 0.06252233684062958 0.10359340906143188 0.8365317583084106 0.0004596801591105759
    1.2.826.0.1.3680043.8.498.24409731276656370656408699904914803360 0.00094228534726426 0.0008638021536171436 0.0009275198099203408 0.004207680933177471 0.0008022395777516067 0.004945005755871534 0.00023088841408025473 0.0739508643746376 0.1747913360595703 0.8057419061660767 0.001169144525192678
    1.2.826.0.1.3680043.8.498.67587445905568528169054475625078905017 0.0007830453105270863 0.0017505459254607558 0.0015468867495656013 0.0008062451961450279 0.0013225626898929477 0.0001919354690471664 0.07184135913848877 0.19199179112911224 0.3209826648235321 0.6895017623901367 0.00128395133651793
    1.2.826.0.1.3680043.8.498.12560628746296105881310279632017565339 0.002631932031363249 0.04915272444486618 0.9386792182922363 0.014638426713645458 0.03305791690945625 0.06338747590780258 0.7466699481010437 0.15188929438591003 0.3105672001838684 0.6759849190711975 0.0037562462966889143
    1.2.826.0.1.3680043.8.498.48518540244283616770089669425736018074 9.33927803998813e-05 0.00015098480798769742 0.00025937199825420976 0.0002044171851594001 0.0002936911187134683 0.00012925175542477518 0.0001808034721761942 0.0030189347453415394 0.01150556467473507 0.9944766759872437 2.8882928745588288e-05
    1.2.826.0.1.3680043.8.498.26110031442550160236537877957262632721 0.008593033999204636 0.22261381149291992 0.7644869089126587 0.00770717253908515 0.03823278471827507 0.017551125958561897 0.9638792276382446 0.2622894048690796 0.4316050410270691 0.3400188386440277 0.004588226322084665
    1.2.826.0.1.3680043.8.498.17778809128857816511393594122174632361 0.0005985664902254939 0.0006160789635032415 0.0011335717281326652 0.0012673316523432732 0.0016072957077994943 0.00027161164325661957 0.0025484110228717327 0.02559400163590908 0.10409869253635406 0.8952959179878235 0.00042345962719991803
    1.2.826.0.1.3680043.8.498.13053830365422920693756473552032518304 0.015415811911225319 0.41666364669799805 0.6560068130493164 0.015194985084235668 0.01703455299139023 0.05821516364812851 0.7529282569885254 0.11002682149410248 0.5091813206672668 0.1749223917722702 0.0016296317335218191
    1.2.826.0.1.3680043.8.498.30188537311791900160701714529350927277 0.00044864852679893374 0.005122403614223003 0.9893530011177063 0.010889624245464802 0.015511681325733662 0.006425070110708475 0.015057379379868507 0.2332790642976761 0.7328518033027649 0.3980116844177246 0.0005734162405133247
    1.2.826.0.1.3680043.8.498.89707476614912160168678092504652284486 0.0006106536602601409 0.0004877200408373028 0.000748827529605478 0.0009218325722031295 0.0011858930811285973 0.0002788246492855251 0.0007680316339246929 0.18559794127941132 0.15095601975917816 0.6598444581031799 0.0004677278338931501
    1.2.826.0.1.3680043.8.498.10782281563680874466962395666335007305 0.013904215767979622 0.18654978275299072 0.8070232272148132 0.06326397508382797 0.06848158687353134 0.2724789083003998 0.30193161964416504 0.08616402000188828 0.5013771057128906 0.7578551173210144 0.008782104589045048
    1.2.826.0.1.3680043.8.498.51305172177835424723769189362208933803 9.64273713179864e-05 0.00012258269998710603 0.0003690642479341477 0.000295101257506758 0.0001845630758907646 0.0004959424259141088 3.509782982291654e-05 0.014085101895034313 0.013156615197658539 0.9770997762680054 5.649364902637899e-05
    1.2.826.0.1.3680043.8.498.75935164797680230063975422735450113312 0.0001271953951800242 9.045107435667887e-05 8.671773684909567e-05 0.00015612570859957486 0.00019345695909578353 2.0064933778485283e-05 0.00021811385522596538 0.012386584654450417 0.09305067360401154 0.9054282903671265 8.630911906948313e-05
    1.2.826.0.1.3680043.8.498.20749019337513293620428358226225217429 0.00031592531013302505 0.00023568565666209906 0.00042068137554451823 0.0010954804020002484 0.0007539700600318611 0.0005424470873549581 0.0001574409252498299 0.06317874789237976 0.2833313047885895 0.6763148307800293 0.0004510520084295422
    1.2.826.0.1.3680043.8.498.69095118523958695991875243910121389390 0.0004519866779446602 0.00032366294180974364 0.00026931826141662896 0.0007000736659392715 0.0009423151495866477 9.556254372000694e-05 0.0005983539158478379 0.028606418520212173 0.11235251277685165 0.9068417549133301 0.0003062990144826472
    1.2.826.0.1.3680043.8.498.10162833965613005402026604690643597974 0.00014066150470171124 0.00012692886230070144 0.00018932923558168113 0.00023176062677521259 0.0003355281369294971 6.223698437679559e-05 0.0002484795986674726 0.005507600959390402 0.028833677992224693 0.9696701169013977 7.23188859410584e-05
    1.2.826.0.1.3680043.8.498.76766269879034379148088151324384539993 0.004815421067178249 0.06788118183612823 0.8314484357833862 0.02094247378408909 0.11457055807113647 0.1264680176973343 0.6107090711593628 0.017712656408548355 0.06684599071741104 0.9756988286972046 0.0038191606290638447
    1.2.826.0.1.3680043.8.498.12794024885978402914083802346107229716 0.0003516043070703745 0.0005649978993460536 0.0007594500202685595 0.0008470971952192485 0.0009112005354836583 0.00020250231318641454 0.0009316920186392963 0.022915638983249664 0.16076907515525818 0.8874457478523254 0.00021376794029492885
    1.2.826.0.1.3680043.8.498.70590534157443638409707016738136462564 0.007328650914132595 0.25616738200187683 0.6466902494430542 0.002337169833481312 0.010447146371006966 0.0036825663410127163 0.987829327583313 0.07416282594203949 0.2841532826423645 0.1648886352777481 0.0008165762992575765
    1.2.826.0.1.3680043.8.498.15166232944536551747214626212827199302 0.0001424087822670117 8.358227933058515e-05 7.757567072985694e-05 0.00030015184893272817 0.00036441031261347234 4.812857514480129e-05 0.00010440318146720529 0.010626373812556267 0.08404093235731125 0.9306039810180664 9.862814476946369e-05
    1.2.826.0.1.3680043.8.498.81767939694158967563112695156811667856 0.00042294725426472723 0.0002500082191545516 0.00039589335210621357 0.0010679441038519144 0.0007586473948322237 0.0006478555151261389 0.00016346544725820422 0.6452614665031433 0.13249686360359192 0.38203001022338867 0.0071165612898766994
    1.2.826.0.1.3680043.8.498.13336549010159824804573616700047185070 0.00037238665390759706 0.0008666684734635055 0.0008937429520301521 0.0010402071056887507 0.001130666583776474 0.0006808463367633522 0.0017778711626306176 0.022649619728326797 0.3400244116783142 0.8963258862495422 0.0007258756086230278
    1.2.826.0.1.3680043.8.498.46291521492203329670575263001339140913 0.0002426088321954012 0.0001665088057052344 0.0003135579463560134 0.0005980292917229235 0.0005336597096174955 0.0002428743027849123 0.00025428339722566307 0.03547822684049606 0.4834720492362976 0.4827084541320801 0.00027177640004083514
    1.2.826.0.1.3680043.8.498.21949215838912726919113166711137693210 0.0003688591532409191 0.0006462977617047727 0.00040006666677072644 0.00039444846333935857 0.0006845156894996762 4.5726286771241575e-05 0.0007489501731470227 0.34713464975357056 0.41975364089012146 0.46493563055992126 0.0004209037288092077
    1.2.826.0.1.3680043.8.498.43204882167336795289264412272800254551 0.0007219671970233321 0.000703175610397011 0.0013088732957839966 0.001285752048715949 0.0013877521269023418 0.0008413662435486913 0.0006251750164665282 0.0812012106180191 0.11776133626699448 0.8112126588821411 0.0005246492801234126
    1.2.826.0.1.3680043.8.498.41002079405977318545446879476766540418 0.00045058148680254817 0.0004829409590456635 0.00038109286106191576 0.0006830541533418 0.0006896482082083821 0.00021304606343619525 0.0003005910257343203 0.04214009642601013 0.4965914189815521 0.4555712640285492 0.0004986202693544328
    1.2.826.0.1.3680043.8.498.31343151448061757097037621017255577846 0.00023949911701492965 0.00019140509539283812 0.00026771571720018983 0.00044588930904865265 0.0006728912703692913 5.500470433617011e-05 0.00031364726601168513 0.007211918476969004 0.11434747278690338 0.8950470089912415 0.00013225930160842836
    1.2.826.0.1.3680043.8.498.60336935138185954631752486554518093861 0.0002901780535466969 0.0015072927344590425 0.9978825449943542 0.01670057699084282 0.05483988672494888 0.09928442537784576 0.033317625522613525 0.031993139535188675 0.3086235523223877 0.7934919595718384 0.0005665436037816107
    1.2.826.0.1.3680043.8.498.87069522365737186770690451256560625898 0.0037700668908655643 0.07543043792247772 0.8966501355171204 0.013508687727153301 0.03518525883555412 0.4835805296897888 0.30503302812576294 0.033685602247714996 0.24009664356708527 0.9433544874191284 0.005296872463077307
    1.2.826.0.1.3680043.8.498.91247602844716930500502478481961949882 0.0387953482568264 0.3108324110507965 0.22172948718070984 0.03291407972574234 0.08570656180381775 0.02716602385044098 0.34856247901916504 0.017245396971702576 0.04961283132433891 0.9230138659477234 0.0015391031047329307
    1.2.826.0.1.3680043.8.498.11827988710085617757593977328430434667 0.0014897182118147612 0.014388695359230042 0.9809930920600891 0.01564461924135685 0.04138438403606415 0.15231183171272278 0.37690824270248413 0.15609675645828247 0.3344913423061371 0.4120219349861145 0.0009745421120896935
    1.2.826.0.1.3680043.8.498.84883475650300959632228707300850894530 0.0013527137925848365 0.0021005761809647083 0.003136415733024478 0.004057758953422308 0.006340804509818554 0.0019190702587366104 0.014447271823883057 0.3085217773914337 0.19206246733665466 0.8015877604484558 0.003918952774256468
    1.2.826.0.1.3680043.8.498.63842515310181684329517341788616815184 0.00019108428386971354 0.00014587496116291732 0.00014865805860608816 0.000292251817882061 0.00028959871269762516 7.7281249104999e-05 0.00016337507986463606 0.02674790285527706 0.07583562284708023 0.9440450668334961 0.00010577676584944129
    1.2.826.0.1.3680043.8.498.41235540547997669383613307536561794002 9.460272121941671e-05 0.0001836539595387876 0.00030518992571160197 0.00024193173157982528 0.00010014191502705216 0.001107709715142846 2.1678864868590608e-05 0.023039737716317177 0.04873804748058319 0.956108570098877 9.011990914586931e-05
    1.2.826.0.1.3680043.8.498.66692141044436824453844459104707802219 0.005342492368072271 0.19254297018051147 0.8558314442634583 0.028847306966781616 0.022599663585424423 0.7871019244194031 0.08587434887886047 0.05958898738026619 0.3432205617427826 0.5090833902359009 0.0031827453058212996
    1.2.826.0.1.3680043.8.498.55758259409506451507217148761479103701 0.0007493864395655692 0.0009372602216899395 0.001982614863663912 0.001860421383753419 0.001608611666597426 0.002974481787532568 0.0022328500635921955 0.04093160480260849 0.11967502534389496 0.876911997795105 0.0007115347543731332
    1.2.826.0.1.3680043.8.498.65299476061190909917385576395581236331 0.0026124860160052776 0.00764949107542634 0.004417023621499538 0.003921410534530878 0.0037857703864574432 0.0024051815271377563 0.005147282965481281 0.39830929040908813 0.6814537048339844 0.38734304904937744 0.0017599599668756127
    1.2.826.0.1.3680043.8.498.97232841511449521160509516032016329563 0.0097493976354599 0.18924552202224731 0.7120121717453003 0.029822861775755882 0.04222824424505234 0.3548832833766937 0.3120502531528473 0.03297713026404381 0.21786832809448242 0.8602140545845032 0.003475035075098276
    1.2.826.0.1.3680043.8.498.13006600101040491728306823228719478832 0.00012082949979230762 0.00014936624211259186 0.0003402896109037101 0.00021343701519072056 0.0003024886827915907 4.6734327042941004e-05 0.0010565037373453379 0.029586195945739746 0.07332731038331985 0.9052835702896118 6.775803922209889e-05
    1.2.826.0.1.3680043.8.498.12421328076178796567891473002675425151 0.00031011522514745593 0.002943646162748337 0.9980670809745789 0.019746866077184677 0.01876065507531166 0.19859325885772705 0.010216820053756237 0.06675205379724503 0.5686914324760437 0.38845962285995483 0.0007251695496961474
    1.2.826.0.1.3680043.8.498.11833763340518799160927487286796060138 0.00048680842155590653 0.0007053060689941049 0.00321752461604774 0.0009746464784257114 0.0011536935344338417 0.00017096164810936898 0.0010612299665808678 0.07424728572368622 0.2683477997779846 0.824421226978302 0.0004492291191127151
    1.2.826.0.1.3680043.8.498.65038150238814712117083947492932956815 8.54108584462665e-05 0.0015428836923092604 0.9982393383979797 0.014238543808460236 0.004240545444190502 0.2992083430290222 0.0009634945308789611 0.05119975283741951 0.20180490612983704 0.7017186284065247 0.0005661820177920163
    1.2.826.0.1.3680043.8.498.94293606660093481063088201089084046649 0.0002759871422313154 0.00021155034482944757 0.00022406052448786795 0.0004194903594907373 0.0006744936108589172 6.293330079643056e-05 0.00030288781272247434 0.0054122889414429665 0.05276588350534439 0.9472459554672241 0.0001279776479350403
    1.2.826.0.1.3680043.8.498.86915392443992487316131993364995696345 0.0014809409622102976 0.01714937761425972 0.9437205195426941 0.017932433634996414 0.0420585460960865 0.02174774929881096 0.13743805885314941 0.048896025866270065 0.10436256974935532 0.6939919590950012 0.0005817668279632926
    1.2.826.0.1.3680043.8.498.51944152077538709775245484132004992484 0.00038494696491397917 0.0002940325066447258 0.00021895817189943045 0.0005424185073934495 0.0008440332603640854 0.00013362275785766542 0.0006187143153510988 0.2085953652858734 0.14902332425117493 0.6842088103294373 0.0002861108514480293
    1.2.826.0.1.3680043.8.498.70424040867669506719322361358764919506 0.0002852578181773424 0.0008121795835904777 0.0006349309114739299 0.0003410036733839661 0.0006174917216412723 0.00012288792640902102 0.019243961200118065 0.01428434532135725 0.04566309601068497 0.9733090400695801 0.0014731851406395435
    1.2.826.0.1.3680043.8.498.39776988284430249046799677623033706881 0.000494434149004519 0.000512117869220674 0.0004858659522142261 0.0012369429459795356 0.0022459509782493114 0.0014687568182125688 0.007965879514813423 0.03155859559774399 0.17101231217384338 0.881855309009552 0.0006051331874914467
    1.2.826.0.1.3680043.8.498.54026255239462413328472783878101683620 0.0025640535168349743 0.0022469060495495796 0.0023131142370402813 0.008644407615065575 0.022605229169130325 0.007588689681142569 0.041514601558446884 0.01854422502219677 0.1865922510623932 0.8611881136894226 0.001265954808332026
    1.2.826.0.1.3680043.8.498.47696225993898881910615651007362532578 0.01641801930963993 0.08176431059837341 0.25420352816581726 0.03568168729543686 0.08978299051523209 0.029589835554361343 0.5317898988723755 0.5173059701919556 0.2890253961086273 0.36448371410369873 0.016493957489728928
    1.2.826.0.1.3680043.8.498.48589022478501554648715690177307739964 0.0003471611416898668 0.00022790432558394969 0.00014774181181564927 0.0006909685907885432 0.0005779248895123601 5.82769098400604e-05 0.00031459107412956655 0.09344220161437988 0.35724082589149475 0.60169517993927 0.0003915758279617876
    1.2.826.0.1.3680043.8.498.14822516628779847206103930327848810472 0.0045332820154726505 0.0956818237900734 0.8611607551574707 0.015099383890628815 0.08126133680343628 0.021288836374878883 0.6490293145179749 0.02386500872671604 0.12143459171056747 0.9612526893615723 0.0031118355691432953
    1.2.826.0.1.3680043.8.498.83916902475882864603834444639675081747 0.0018459365237504244 0.005728510208427906 0.007747397758066654 0.0020298627205193043 0.004048910923302174 0.0005744253285229206 0.21862395107746124 0.1377432942390442 0.49776434898376465 0.6442029476165771 0.0012218033662065864
    1.2.826.0.1.3680043.8.498.11109433672061462980006493499268585596 0.0005719136679545045 0.0006431428482756019 0.00043603527592495084 0.0008546902681700885 0.0008795928442850709 0.0002054981596302241 0.001138842198997736 0.15110504627227783 0.21540236473083496 0.5128530859947205 0.0005702539347112179
    1.2.826.0.1.3680043.8.498.32527936646494062324997043143186053408 0.06830333918333054 0.4708334505558014 0.5501638650894165 0.15469954907894135 0.0650484710931778 0.6373189687728882 0.28751140832901 0.16841697692871094 0.31492334604263306 0.2332427054643631 0.011058316566050053
    1.2.826.0.1.3680043.8.498.98967646310490815120627951975232199419 0.000390659726690501 0.001205749111250043 0.002278241328895092 0.0024529811926186085 0.0008186106570065022 0.009607264772057533 0.0003338106325827539 0.021024156361818314 0.08741985261440277 0.9606523513793945 0.00045705941738560796
    1.2.826.0.1.3680043.8.498.10464469457171973822054812558022059526 0.00021745027333963662 0.00015342296683229506 0.00020434809266589582 0.0004135701747145504 0.0005968241603113711 4.294281097827479e-05 0.00025993786402978003 0.016867125406861305 0.189682275056839 0.8440567255020142 0.00017163109441753477
    1.2.826.0.1.3680043.8.498.79358930557737349942925906652430159468 0.00019936896569561213 0.00016514868184458464 0.0002584205649327487 0.0004135579220019281 0.00022251333575695753 0.000461061776150018 3.448515053605661e-05 0.09013286232948303 0.3630101978778839 0.5660042762756348 0.00027385930297896266
    1.2.826.0.1.3680043.8.498.97505859615079912125026433505476648785 0.0003690597659442574 0.00028221862157806754 0.00025614199694246054 0.000537431740667671 0.000681706122122705 0.00011766826355597004 0.0003296651120763272 0.15321919322013855 0.18958333134651184 0.6954721212387085 0.00030565756605938077
    1.2.826.0.1.3680043.8.498.10819899791627208193357625898493997810 0.00010738878336269408 0.0001163932029157877 0.00022743619047105312 0.0003472429816611111 0.00020368797413539141 0.00029278878355398774 7.625702710356563e-05 0.003530713263899088 0.014541378244757652 0.9925922155380249 6.47260167170316e-05
    1.2.826.0.1.3680043.8.498.44606836198861459780438165815807395811 0.00022301606077235192 0.0005967862089164555 0.0011471993057057261 0.0002986188919749111 0.0005528699839487672 4.9344806029694155e-05 0.002719133859500289 0.013318374752998352 0.06744840741157532 0.9767154455184937 0.00010472584108356386
    1.2.826.0.1.3680043.8.498.42681827100519240799193206708614934088 0.0003902477619703859 0.0004146286810282618 0.0003501865139696747 0.0007776483544148505 0.000745838216971606 0.0005881294491700828 0.00035255111288279295 0.1495785266160965 0.6672727465629578 0.23692090809345245 0.00038492382736876607
    1.2.826.0.1.3680043.8.498.41240263776143285832280625962590808674 0.0003538932651281357 0.0003354780492372811 0.00033820432145148516 0.000545518530998379 0.0007552859606221318 5.344511737348512e-05 0.002967146458104253 0.06720688194036484 0.31363624334335327 0.5640444755554199 0.0004045463283546269
    1.2.826.0.1.3680043.8.498.35625860460007248997124925609139140945 0.000279097119346261 0.00030882382998242974 0.000614838267210871 0.00047545594861730933 0.0006764928111806512 0.00026854476891458035 0.0004172883927822113 0.00615153182297945 0.05457538366317749 0.9257203936576843 0.00013344531180337071
    1.2.826.0.1.3680043.8.498.60466963557466255250087388787440805346 0.0004941296065226197 0.0005861453828401864 0.0009408684563823044 0.001030422979965806 0.0007963706739246845 0.0012115307617932558 0.0001935066538862884 0.11960963904857635 0.3772909343242645 0.4995625615119934 0.0024551162496209145
    1.2.826.0.1.3680043.8.498.29970864701009104771540555794213607479 0.00044891861034557223 0.0006191768334247172 0.0006229358841665089 0.0014468008885160089 0.0012804236030206084 7.113877654774114e-05 0.0013485872186720371 0.026253174990415573 0.4094690680503845 0.6497020721435547 0.0003626840771175921
    1.2.826.0.1.3680043.8.498.11759345037703832396970873408752275391 0.00014997099060565233 0.00016132494783960283 0.000349642476066947 0.0004345568304415792 0.00023324771609622985 0.000427966850111261 5.208589573157951e-05 0.010777312330901623 0.01979125663638115 0.9767152667045593 9.517862054053694e-05
    1.2.826.0.1.3680043.8.498.10317535946570338742369669418833802115 0.00031026420765556395 0.0003187015245202929 0.000428252387791872 0.00045353328459896147 0.0005947037134319544 0.00010703818406909704 0.000335812772391364 0.06308657675981522 0.20065918564796448 0.7756141424179077 0.00037031498504802585
    1.2.826.0.1.3680043.8.498.74233211080253671506993698432689238282 0.000926690292544663 0.00344211608171463 0.9971500635147095 0.020676571875810623 0.05566822364926338 0.028704995289444923 0.08165967464447021 0.16416431963443756 0.3050285577774048 0.5028162002563477 0.001983745489269495
    1.2.826.0.1.3680043.8.498.12946380412283224768511657069451124929 0.0002875269274227321 0.00021380970429163426 0.00027838704409077764 0.0008279407629743218 0.00043984325020574033 0.0006535944412462413 9.587654494680464e-05 0.025904586538672447 0.1934533715248108 0.7925512790679932 0.0002367690613027662
    1.2.826.0.1.3680043.8.498.62636640438478741659009197692797155599 0.0002727114479057491 0.00020200996368657798 0.0005114813102409244 0.0005736738676205277 0.0005705963703803718 0.00015316414646804333 0.0010139428777620196 0.010923868976533413 0.04971674457192421 0.9309160113334656 0.00020953032071702182
    1.2.826.0.1.3680043.8.498.51597548625761337253015910194786781817 0.0002152566594304517 0.00017860881052911282 0.0001959506917046383 0.0004001889319624752 0.0002492948551662266 0.00012026426702504978 0.00018267519772052765 0.031050240620970726 0.17124535143375397 0.9114431142807007 0.0001922461378853768
    1.2.826.0.1.3680043.8.498.13015522987673441691163729867941357676 0.00015752033505123109 0.00010639648826327175 0.0001382868067594245 0.0003010781074408442 0.00032730569364503026 6.842514267191291e-05 8.217239519581199e-05 0.007687187287956476 0.09740979969501495 0.940252959728241 0.00010743671009549871
    1.2.826.0.1.3680043.8.498.10926061970663150101187912680601343991 0.002477931324392557 0.0057632168754935265 0.010264857672154903 0.007160879671573639 0.009388480335474014 0.020204681903123856 0.06747450679540634 0.020079191774129868 0.10929591953754425 0.9470909237861633 0.006523595191538334
    1.2.826.0.1.3680043.8.498.41444848577074338711663544428175105902 0.010875755921006203 0.19790107011795044 0.7686519622802734 0.029235929250717163 0.060068171471357346 0.1768106073141098 0.43732109665870667 0.06233382225036621 0.538727879524231 0.5293388962745667 0.0025267971213907003
    1.2.826.0.1.3680043.8.498.61536146807369014773194074826014871677 0.009462056681513786 0.2820989191532135 0.6947873830795288 0.010246999561786652 0.024843424558639526 0.15553967654705048 0.7401176691055298 0.5010610818862915 0.3923075497150421 0.28851932287216187 0.007756600622087717
    1.2.826.0.1.3680043.8.498.23222760349176992790482439646701200462 0.0002722106291912496 0.0001949736033566296 0.0002878480590879917 0.000640024256426841 0.0006164758233353496 0.00022526702377945185 0.0002699640463106334 0.015682052820920944 0.02231990173459053 0.9729693531990051 0.00015562449698336422
    1.2.826.0.1.3680043.8.498.10034012396693011561408491409485281363 0.00039867954910732806 0.003968429751694202 0.9670875668525696 0.005159173160791397 0.030260946601629257 0.0016359848668798804 0.3023463487625122 0.04658832401037216 0.15206179022789001 0.8530129194259644 0.00023030182637739927
    1.2.826.0.1.3680043.8.498.48729462976140975141308959440611224630 0.00023747447994537652 0.00019119985518045723 0.00017229672812391073 0.00044271707884036005 0.0005017393850721419 7.545974949607626e-05 0.00039218185702338815 0.01660000905394554 0.1894887089729309 0.8553818464279175 0.00026507204165682197
    1.2.826.0.1.3680043.8.498.94625292635091041873673173137232891612 0.00024869092158041894 0.0004159407690167427 0.0006824848824180663 0.00046682715765200555 0.0004597996303346008 0.00020467175636440516 0.0011389722349122167 0.030917415395379066 0.7572929263114929 0.48346343636512756 0.00024371054314542562
    1.2.826.0.1.3680043.8.498.47707229257987756373325308219009720656 0.00019816984422504902 0.0001710093638394028 0.0003547615197021514 0.0002919752732850611 0.00042414007475599647 6.28129782853648e-05 0.0006080520106479526 0.06965679675340652 0.1569589227437973 0.7697734236717224 0.0001448541006539017
    1.2.826.0.1.3680043.8.498.36767479584462721608347432681635829924 0.00034824706381186843 0.00043937942245975137 0.000616123084910214 0.0006732711335644126 0.0010648543247953057 0.0003198220510967076 0.0011787936091423035 0.020284105092287064 0.09945599734783173 0.8758730888366699 0.0001739134022500366
    1.2.826.0.1.3680043.8.498.68424334879992213995641075653389737482 0.000670630659442395 0.0008187697967514396 0.0011819223873317242 0.0013706889003515244 0.0016870384570211172 0.0003546108491718769 0.0009889130014926195 0.2289997637271881 0.651803731918335 0.2555960416793823 0.0005910900654271245
    1.2.826.0.1.3680043.8.498.81916789914212432516872814367494923885 3.4067001251969486e-05 6.774195935577154e-05 0.00029268398066051304 0.000323673797538504 2.339840830245521e-05 0.0035612776409834623 2.6457844342075987e-06 0.012956587597727776 0.03841298073530197 0.9562679529190063 0.0003432807861827314
    1.2.826.0.1.3680043.8.498.16318550184938466094988106365947194688 0.0002418174408376217 0.0001600717951077968 0.00016335537657141685 0.0003644948301371187 0.0005471569602377713 4.062634252477437e-05 0.00029737860313616693 0.01888122782111168 0.18265731632709503 0.8405964970588684 0.00015597930178046227
    1.2.826.0.1.3680043.8.498.51127375000607531824009719681163518211 0.0002320560597581789 0.0003670270671136677 0.0004624717985279858 0.00038253553793765604 0.0005037086666561663 0.000573622586671263 0.004715543705970049 0.0069660902954638 0.09807519614696503 0.9732300639152527 0.00016604477423243225
    1.2.826.0.1.3680043.8.498.95849954508466045357411391511188847821 0.0002659741439856589 0.0003266997227910906 0.000719962758012116 0.0006449987413361669 0.001084597548469901 9.495122503722087e-05 0.0007083909586071968 0.00857104454189539 0.02167145535349846 0.9832607507705688 0.00011409424769226462
    1.2.826.0.1.3680043.8.498.40550433976992255127964319406281403447 0.00970625039190054 0.13483229279518127 0.8354355096817017 0.050048232078552246 0.08764903247356415 0.2678067088127136 0.662087082862854 0.06740836054086685 0.211001917719841 0.13685449957847595 0.001296739443205297
    1.2.826.0.1.3680043.8.498.11451072610375384202268407231059752742 0.002667797729372978 0.05201972275972366 0.9263594746589661 0.008135797455906868 0.048982661217451096 0.08853888511657715 0.8025321960449219 0.05103812739253044 0.18075287342071533 0.9415922164916992 0.010347842238843441
    1.2.826.0.1.3680043.8.498.12247439624991943534888085146151055629 0.0002661427133716643 0.00021202737116254866 0.00027757641510106623 0.0006896603154018521 0.0008615804836153984 0.00011877332872245461 0.0003880246076732874 0.004735245369374752 0.036463990807533264 0.9671419858932495 0.00011852658644784242
    1.2.826.0.1.3680043.8.498.12851108053117916023931135719880510319 0.0002146231272490695 0.00034138496266677976 0.0010379564482718706 0.0009857589611783624 0.00029715735581703484 0.0039018921088427305 0.00011023648403352126 0.0307429488748312 0.08756822347640991 0.8958712816238403 0.0004920809296891093
    1.2.826.0.1.3680043.8.498.45473275800554463727952103438913438064 0.004019594751298428 0.07067906111478806 0.862523078918457 0.017540425062179565 0.009868800640106201 0.7532373666763306 0.14002706110477448 0.030357087031006813 0.1418582797050476 0.978955864906311 0.9971416592597961
    1.2.826.0.1.3680043.8.498.28168933482327529714198611229603038975 0.00024763320107012987 0.0003276836359873414 0.00046557755558751523 0.0005396071937866509 0.0002356074983254075 0.001162129919975996 9.135820437222719e-05 0.03527580574154854 0.10733320564031601 0.8182441592216492 0.0002591504016891122
    1.2.826.0.1.3680043.8.498.32834585998353108206979921728830350805 0.0007914201123639941 0.0006422813748940825 0.00047448225086554885 0.0013562185922637582 0.0012535370187833905 0.00018905248725786805 0.0008762450888752937 0.2885670065879822 0.2307111918926239 0.5854129791259766 0.0006947885267436504
    1.2.826.0.1.3680043.8.498.11284278229580573716661380668695169847 0.0013028547400608659 0.002373661147430539 0.0022811363451182842 0.002179290633648634 0.0040426659397780895 0.0005043112905696034 0.005588554311543703 0.18424716591835022 0.17378643155097961 0.6624158024787903 0.0015579946339130402
    1.2.826.0.1.3680043.8.498.33355426254200673182211959179622096227 0.0005274982540868223 0.0006137144519016147 0.000678754469845444 0.0008707998204044998 0.0008238626760430634 0.0003378041728865355 0.001435508718714118 0.06681007891893387 0.14764492213726044 0.8421268463134766 0.00035319055314175785
    1.2.826.0.1.3680043.8.498.48146747796181418065515678664241343487 0.0003433569800108671 0.0002359664795221761 0.00022969197016209364 0.000589669041801244 0.0005056290538050234 0.00010080447827931494 0.0006386275636032224 0.2179291546344757 0.45815199613571167 0.258586049079895 0.0004420219047460705
    1.2.826.0.1.3680043.8.498.12212778958296687267453125579056102467 0.00029227000777609646 0.00026252109091728926 0.00027538329595699906 0.00045265333028510213 0.0005845915293321013 7.608862506458536e-05 0.00027118128491565585 0.018720656633377075 0.10514316707849503 0.8815973997116089 0.00019272910139989108
    1.2.826.0.1.3680043.8.498.96406345950187530461917503199561338193 0.0005323066143319011 0.0003172496217302978 0.00033606699435040355 0.0014430474257096648 0.0015238240594044328 0.00014969348558224738 0.0005264341016300023 0.01796158030629158 0.09763339161872864 0.9290939569473267 0.00039617010043002665
    1.2.826.0.1.3680043.8.498.76577701980506156917736416163814267293 0.001167512615211308 0.012663575820624828 0.9795376062393188 0.00994748156517744 0.023231536149978638 0.4072941243648529 0.3318466246128082 0.07418955862522125 0.30491966009140015 0.7997890114784241 0.07271935790777206
    1.2.826.0.1.3680043.8.498.19417454278683695731141874767870638461 0.005813664756715298 0.010524334385991096 0.022943997755646706 0.03423840552568436 0.14120261371135712 0.33901241421699524 0.739240288734436 0.022598838433623314 0.1496995985507965 0.9269697070121765 0.0021254417952150106
    1.2.826.0.1.3680043.8.498.71443810097442378319125440711191677588 0.001366595970466733 0.024403922259807587 0.9352504014968872 0.015708576887845993 0.04887086898088455 0.03623824939131737 0.6669279932975769 0.09840226173400879 0.26058289408683777 0.12982413172721863 0.0003339311224408448
    1.2.826.0.1.3680043.8.498.80306425234918754286376067520387184099 0.0004862801288254559 0.0004935853066854179 0.0006840063142590225 0.0009400250273756683 0.0011196399573236704 0.00023915716155897826 0.00048363409587182105 0.042085062712430954 0.13194480538368225 0.8023029565811157 0.00034908505040220916
    1.2.826.0.1.3680043.8.498.12949384918105134375704791071995351739 0.003190626623108983 0.07327775657176971 0.8682175874710083 0.013582190498709679 0.06917677819728851 0.06067821383476257 0.4545685350894928 0.02205658331513405 0.061384569853544235 0.9187173843383789 0.0006036708946339786
    1.2.826.0.1.3680043.8.498.39940527587510437931248304106618368808 0.00030958084971643984 0.00047790430835448205 0.00043619913049042225 0.00027222343487665057 0.0003963535709772259 5.062674608780071e-05 0.0012231239816173911 0.2141665667295456 0.36584052443504333 0.5488335490226746 0.0003125180955976248
    1.2.826.0.1.3680043.8.498.92391677777565164736483157027102867132 0.00039672022103331983 0.0007150506135076284 0.0010982232633978128 0.0013721116119995713 0.0007144139963202178 0.0011294959113001823 0.00039990642108023167 0.00919775664806366 0.045347608625888824 0.9796226620674133 0.00018051019287668169
    1.2.826.0.1.3680043.8.498.38950747462472346103653926918826955253 0.00028238585218787193 0.0002601678133942187 0.0006656768964603543 0.0008890099707059562 0.0010664829751476645 0.0003201522631570697 0.0008188521605916321 0.008565015159547329 0.018244212493300438 0.9861606359481812 0.00014407953131012619
    1.2.826.0.1.3680043.8.498.11675614083381331476818950306926896979 0.0001410453114658594 0.00010496364120626822 0.0001535474439151585 0.00024833582574501634 0.00039450349868275225 3.078886220464483e-05 0.0002515105006750673 0.009433256462216377 0.06416664272546768 0.9554999470710754 8.793667075224221e-05
    1.2.826.0.1.3680043.8.498.89666306243977525354689032166179412842 0.000411952321883291 0.0004785920027643442 0.000381310994271189 0.000592937576584518 0.0008834627224132419 0.00018162117339670658 0.0008474939386360347 0.02645236812531948 0.5479365587234497 0.560806930065155 0.00045967879123054445
    1.2.826.0.1.3680043.8.498.97067224398587014259432336269161773386 0.00037487284862436354 0.00031343961018137634 0.00033351441379636526 0.0011395637411624193 0.0005143265007063746 0.000456112262327224 0.0002400075609330088 0.060029130429029465 0.0737701803445816 0.9208574295043945 0.00027581979520618916
    1.2.826.0.1.3680043.8.498.38841822805864526584299816916060680661 0.0003175543970428407 0.0003252594906371087 0.0005110441707074642 0.0006731030298396945 0.0006899897125549614 0.00017194426618516445 0.0006923446198925376 0.038278669118881226 0.3994276523590088 0.6927558183670044 0.0002948061446659267
    1.2.826.0.1.3680043.8.498.56673502698236668921126104048908835751 0.0005759081104770303 0.011162124574184418 0.9801847338676453 0.003734367433935404 0.03454550355672836 0.007607831619679928 0.8585311770439148 0.02426079474389553 0.10627980530261993 0.7585645914077759 0.0004911058349534869
    1.2.826.0.1.3680043.8.498.43533608909120104047158700696687102654 0.0004062153457198292 0.00035225512692704797 0.0005115926032885909 0.0005551680224016309 0.0009374738438054919 7.249565533129498e-05 0.0005418494110926986 0.03435374051332474 0.1094834953546524 0.8378639221191406 0.00026160437846556306
    1.2.826.0.1.3680043.8.498.10831525200575370193331972232096933535 0.00035252919769845903 0.0003029103099834174 0.00046231868327595294 0.0005817055935040116 0.0008877253858372569 0.00023500896350014955 0.0005059113609604537 0.053375475108623505 0.12375195324420929 0.8602889180183411 0.0003092397819273174
    1.2.826.0.1.3680043.8.498.79499284249176699215584597212051938141 0.0005768825649283826 0.0013901910278946161 0.0010112999007105827 0.0007969095604494214 0.0011017984943464398 0.0001862534845713526 0.0016916453605517745 0.05808967351913452 0.748386025428772 0.528470516204834 0.0004193916101939976
    1.2.826.0.1.3680043.8.498.41714726800624681211438219233541482802 0.0008479816024191678 0.001099237473681569 0.0008923669229261577 0.001897932612337172 0.0034599299542605877 0.00037477753357961774 0.006238277070224285 0.16120603680610657 0.7360541224479675 0.22963914275169373 0.0008388058049604297
    1.2.826.0.1.3680043.8.498.58720575135249883678369093419361332533 0.0002308597759110853 0.00036481342976912856 0.0005929864710196853 0.000973203859757632 0.0002797678462229669 0.003567296313121915 5.411800157162361e-05 0.05812576413154602 0.10183205455541611 0.8893764615058899 0.0004292942176107317
    1.2.826.0.1.3680043.8.498.19465184925102658104117488543908712220 0.0005438827793113887 0.000906551256775856 0.0007393909618258476 0.0008603411843068898 0.0012987174559384584 0.00012221945507917553 0.0025333762168884277 0.02524322271347046 0.07921276986598969 0.9246265292167664 0.00024623487843200564
    1.2.826.0.1.3680043.8.498.79116003770702969434243333759168752393 0.004646448418498039 0.20418894290924072 0.7715222239494324 0.052192509174346924 0.0055529274977743626 0.9447559118270874 0.019186411052942276 0.10223400592803955 0.4417950510978699 0.7140647768974304 0.008516661822795868
    1.2.826.0.1.3680043.8.498.12680915214088364008330422374307001306 0.0005134643870405853 0.0003968557866755873 0.0004235797096043825 0.001466541551053524 0.001441956963390112 0.0005563681479543447 0.000797260261606425 0.03296896070241928 0.23876063525676727 0.8596929311752319 0.0006610759301111102
    1.2.826.0.1.3680043.8.498.14399291854799701852298127225849157956 0.0005087364697828889 0.0003686969284899533 0.00047744368202984333 0.0006686553242616355 0.0011015027994289994 0.00017827609553933144 0.0005191391101107001 0.03951852768659592 0.13341762125492096 0.783066987991333 0.0003287305007688701
    1.2.826.0.1.3680043.8.498.62820523603290598942152044430187337470 0.0038837180472910404 0.04233796149492264 0.9416011571884155 0.02995886467397213 0.06026095151901245 0.044712889939546585 0.5895487070083618 0.12087950855493546 0.3093319833278656 0.30088067054748535 0.002038367558270693
    1.2.826.0.1.3680043.8.498.81479953000615564131807898271052807011 0.00031166235567070544 0.00020356173627078533 0.0005184327019378543 0.0008905090508051217 0.0005677122389897704 0.0004819697351194918 0.0001316078705713153 0.0341309979557991 0.0822523683309555 0.8899006843566895 0.0002747332910075784
    1.2.826.0.1.3680043.8.498.11512260638628604977417102746247848018 0.0002392282767686993 0.0001631648192415014 0.00016304792370647192 0.00039574020775035024 0.0002785869291983545 0.0002297052415087819 7.376862777164206e-05 0.128875732421875 0.19270357489585876 0.6319816708564758 0.00026640406576916575
    1.2.826.0.1.3680043.8.498.15073318517060594683484355530381905953 0.00015807131421752274 0.00011069395259255543 0.00010859915346372873 0.00021230816491879523 0.0002859658852685243 1.707283445284702e-05 0.00022012091358192265 0.012402712367475033 0.054262615740299225 0.9436642527580261 7.859729521442205e-05
    1.2.826.0.1.3680043.8.498.18181761521938822847840522738093365856 0.0005981618887744844 0.0005271361442282796 0.0007551226881332695 0.000894657161552459 0.0013206006260588765 0.00015769405581522733 0.0012318637454882264 0.019265487790107727 0.13458046317100525 0.8498533964157104 0.0003489100781735033
    1.2.826.0.1.3680043.8.498.45254194717305221956740915278805783783 0.0006775067304261029 0.0008780782227404416 0.0016607220750302076 0.0021947461646050215 0.0027520242147147655 0.007186725735664368 0.003713303478434682 0.03277574107050896 0.5247725248336792 0.5904567241668701 0.0003990866243839264
    1.2.826.0.1.3680043.8.498.12124059674040425922241779101897929419 0.00020734504505526274 0.0002285936352564022 0.00020224557374604046 0.0003991456760559231 0.00022016969160176814 0.0004473559674806893 0.00012078105646651238 0.07375499606132507 0.2807298004627228 0.7027217149734497 0.00034090218832716346
    1.2.826.0.1.3680043.8.498.25586758659009233105853200540269855087 0.00033776031341403723 0.0002495746884960681 0.0004405102808959782 0.0009259268408641219 0.0004997887881472707 0.000617168378084898 0.00011814638128271326 0.010181931778788567 0.05917863920331001 0.949219822883606 0.0003380328416824341
    1.2.826.0.1.3680043.8.498.65916144245685996670025835007158376629 0.0002608405193313956 0.0001835976872825995 0.0002072123170364648 0.000547177332919091 0.0005997683038003743 0.00020669610239565372 0.00030432266066782176 0.015721315518021584 0.30892956256866455 0.7034550905227661 0.0002714680158533156
    1.2.826.0.1.3680043.8.498.11927716778980962310921998028601469451 0.00041397922905161977 0.00036377093056216836 0.00025675009237602353 0.0006632438162341714 0.0006753777270205319 5.1246501243440434e-05 0.00159412098582834 0.36767449975013733 0.10053137689828873 0.6104868650436401 0.00045102665899321437
    1.2.826.0.1.3680043.8.498.25521519309520154033219328524904236600 0.0003294589987490326 0.0003649981808848679 0.00023197820701170713 0.0004838287422899157 0.0004569163138512522 0.0004483381344471127 0.00049444695468992 0.09716163575649261 0.34933868050575256 0.7067394256591797 0.00039150583324953914
    1.2.826.0.1.3680043.8.498.12400096575353142078503037040085944349 0.001902905059978366 0.0028120067436248064 0.004641525447368622 0.0029002788942307234 0.004001591820269823 0.0003894125111401081 0.004889503121376038 0.23108354210853577 0.3318440616130829 0.40752068161964417 0.0015938775613904
    1.2.826.0.1.3680043.8.498.12681838418976728356450556880797528044 0.00047336789430119097 0.0006585419760085642 0.0010451243724673986 0.0009018981945700943 0.0008910908363759518 0.0009693096508271992 0.0005702880444005132 0.029063332825899124 0.06006915494799614 0.933384120464325 0.00026497425278648734
    1.2.826.0.1.3680043.8.498.10593695105983048839340757573118479178 0.0003127956879325211 0.0002522850991226733 0.0002283089270349592 0.00045352065353654325 0.00047273823292925954 0.0003071095561608672 0.00015278771752491593 0.03530445322394371 0.1598728448152542 0.8019641041755676 0.00019202035036869347
    1.2.826.0.1.3680043.8.498.85748575039454050992477649520090287933 0.0011125754099339247 0.001354834996163845 0.0016827445942908525 0.0016668552998453379 0.0018007593462243676 0.0010493677109479904 0.0016746133333072066 0.16562771797180176 0.3179604411125183 0.6346977353096008 0.0009119984460994601
    1.2.826.0.1.3680043.8.498.13260948967951958567898395035948851205 0.001725752605125308 0.031227314844727516 0.9207744598388672 0.012314151972532272 0.05027114227414131 0.11202236264944077 0.5194339752197266 0.015252220444381237 0.0765552669763565 0.9773925542831421 0.0013777243439108133
    1.2.826.0.1.3680043.8.498.12398127108479582638878594520239387350 0.014164137654006481 0.23539523780345917 0.6404558420181274 0.038742534816265106 0.05936495587229729 0.5182175040245056 0.26611328125 0.02975408360362053 0.29327449202537537 0.7773932218551636 0.003307205392047763
    1.2.826.0.1.3680043.8.498.11454572426309912705616349829025392706 9.35061470954679e-05 0.0001106865456677042 0.00031903135823085904 0.00042664771899580956 9.072877583093941e-05 0.0007760379230603576 1.1797165825555567e-05 0.013244971632957458 0.05085153132677078 0.954731822013855 0.00014380007633008063
    1.2.826.0.1.3680043.8.498.53715954528989084313200292025939860986 0.0004129907174501568 0.0018765379209071398 0.0027985619381070137 0.0006337204831652343 0.0009244176326319575 0.0004454286827240139 0.023636849597096443 0.1715022772550583 0.6647659540176392 0.4034501612186432 0.0003631985164247453
    1.2.826.0.1.3680043.8.498.29493212580478982763302673581614532251 0.00034308110480196774 0.0003745145513676107 0.00047055509639903903 0.0006091700633987784 0.0007769373478367925 0.0002658081357367337 0.0004213869688101113 0.020118892192840576 0.5135415196418762 0.5056573152542114 0.00023665449407417327
    1.2.826.0.1.3680043.8.498.10003890246067211044742686138544513464 0.00017683122132439166 0.0001229119807248935 0.00011397508205845952 0.00021884639863856137 0.00024443119764328003 8.760027412790805e-05 0.00015287904534488916 0.030507942661643028 0.18431028723716736 0.8601851463317871 0.00015902722952887416
    1.2.826.0.1.3680043.8.498.77054126393068766754272127723280460639 0.00025964091764763 0.00023061202955432236 0.00020180278806947172 0.0003939551825169474 0.0004154553171247244 0.00011379818897694349 0.0003274926857557148 0.05717549845576286 0.16277171671390533 0.7205405235290527 0.00022935241577215493
    1.2.826.0.1.3680043.8.498.77036785222821637697708493528844730052 0.003946037031710148 0.18150605261325836 0.1672333925962448 0.001875715097412467 0.013889066874980927 0.00566011993214488 0.9870783090591431 0.0221579447388649 0.09753449261188507 0.9436724781990051 0.0006610403652302921
    1.2.826.0.1.3680043.8.498.29408033627321834409763898635434093559 0.00036794552579522133 0.0006202369695529342 0.0007251291535794735 0.0004239981935825199 0.0011615098919719458 9.21622704481706e-05 0.0022940034978091717 0.029235977679491043 0.02977430820465088 0.9655739068984985 0.0001738954451866448
    1.2.826.0.1.3680043.8.498.67383410793254135254837600689015108997 0.002136143622919917 0.00843908078968525 0.008524594828486443 0.003829930443316698 0.008557463064789772 0.0010476927272975445 0.017140408977866173 0.03793531656265259 0.11022806167602539 0.9101811647415161 0.0013796628918498755
    1.2.826.0.1.3680043.8.498.71343242222818738355293082622352955177 0.000189950704225339 0.00018201000057160854 0.00030058916308917105 0.00034087258973158896 0.0005240206955932081 4.871557030128315e-05 0.0003562808851711452 0.0037245191633701324 0.06342776119709015 0.9608785510063171 8.387749403482303e-05
    1.2.826.0.1.3680043.8.498.14502262931856057473802023611441752285 0.002216604771092534 0.11737117916345596 0.853771984577179 0.005436993204057217 0.021074408665299416 0.009400145150721073 0.8827592730522156 0.05924078822135925 0.19897696375846863 0.04259152337908745 0.00019301427528262138
    1.2.826.0.1.3680043.8.498.10410380686059427979595728329031087093 0.00028079128242097795 0.000282426830381155 0.00031750387279316783 0.0004668728506658226 0.00044290657388046384 0.00023915150086395442 0.00026382121723145247 0.03327932208776474 0.03455592319369316 0.9628976583480835 0.0001452443830203265
    1.2.826.0.1.3680043.8.498.54038676995485273817589228150649853550 0.0035016511101275682 0.045633070170879364 0.8990022540092468 0.022599123418331146 0.080658458173275 0.055881936103105545 0.4022386074066162 0.019316593185067177 0.12682394683361053 0.974652111530304 0.0032243249006569386
    1.2.826.0.1.3680043.8.498.14424465729049475822246290261375931026 7.254355296026915e-05 8.093998621916398e-05 0.0002694840950425714 0.00019880582112818956 0.00011471371544757858 0.0006394582451321185 1.3959805073682219e-05 0.035689808428287506 0.3591083586215973 0.6025823950767517 0.0001236538664670661
    1.2.826.0.1.3680043.8.498.51246226960880910560540256997712105645 0.00019002224144060165 0.0001579097588546574 0.000159785762662068 0.0004315677215345204 0.00018217044998891652 0.00037835820694454014 3.0319099096232094e-05 0.05881154537200928 0.36302804946899414 0.5226220488548279 0.00021810892212670296
    1.2.826.0.1.3680043.8.498.27189602970288079650519106347442813278 9.163870709016919e-05 6.594019214389846e-05 8.058447565417737e-05 0.00021207108511589468 8.047082519624382e-05 0.00017640057194512337 1.9962295482400805e-05 0.30686551332473755 0.03861618787050247 0.8543744087219238 0.00011934575013583526
    1.2.826.0.1.3680043.8.498.15563394858463219934068618124641542109 0.0005390768637880683 0.0008174607646651566 0.0008145503816194832 0.0009604341466911137 0.0007406901568174362 0.0004969510482624173 0.0007825625943951309 0.142144113779068 0.298016756772995 0.6101891398429871 0.0007048583356663585
    1.2.826.0.1.3680043.8.498.11095309209243152479423582947542990468 0.00034316504024900496 0.000490111589897424 0.0006064901826903224 0.0010110273724421859 0.0006487754289992154 0.0021978586446493864 0.00031120781204663217 0.06388163566589355 0.21077926456928253 0.8598259091377258 0.000518687826115638
    1.2.826.0.1.3680043.8.498.64084863612323981732345628490891600373 0.00012493420217651874 0.0022770394571125507 0.9983291625976562 0.013527478091418743 0.006146776489913464 0.20461121201515198 0.0025656758807599545 0.11636725813150406 0.2639380395412445 0.4434987008571625 0.0003886545018758625
    1.2.826.0.1.3680043.8.498.42223063212105795742860953324632382244 0.00021577507141046226 0.0002614067925605923 0.0003462954191491008 0.00027000688714906573 0.00035705737536773086 6.548737292177975e-05 0.0003292854526080191 0.041557833552360535 0.1509890854358673 0.9308158755302429 0.0029465812258422375
    1.2.826.0.1.3680043.8.498.10309865412851923393127668857002645918 0.00021839495457243174 0.00017936431686393917 0.00019190569582860917 0.00034641785896383226 0.00040155331953428686 4.9090311222244054e-05 0.0002573300153017044 0.11583918333053589 0.25778645277023315 0.6237746477127075 0.00020189718634355813
    1.2.826.0.1.3680043.8.498.13043303594150346673962481493258651093 0.00021845533046871424 0.00012743548722937703 0.0001775271666701883 0.000568701303564012 0.000320094550261274 0.00021294197358656675 7.819658640073612e-05 0.012856277637183666 0.04537300392985344 0.9553753137588501 0.00015101292228791863
    1.2.826.0.1.3680043.8.498.94529368392273749159291697418586230116 0.0003572091809473932 0.000282371329376474 0.00021083706815261394 0.00043699625530280173 0.0006537172594107687 8.382042869925499e-05 0.0004980069352313876 0.14705422520637512 0.3861145079135895 0.4115157127380371 0.0004426626837812364
    1.2.826.0.1.3680043.8.498.10567863798112049237669894821426042834 0.0002606268972158432 0.00020045985002070665 0.00026155420346185565 0.00038923858664929867 0.0007109440630301833 4.29616411565803e-05 0.0004861760535277426 0.011772186495363712 0.0811552032828331 0.9226025342941284 0.0001447076501790434
    1.2.826.0.1.3680043.8.498.19289755210388977321708783266082339354 0.0003556571900844574 0.00024006601597648114 0.0003551766858436167 0.0007762545137666166 0.000868038390763104 0.00018644727242644876 0.0012140108738094568 0.07720030099153519 0.0967317447066307 0.8233984112739563 0.0003510102687869221
    1.2.826.0.1.3680043.8.498.83095306385249100051888487399636640477 0.00013070765999145806 0.00010799515439430252 0.00012515054550021887 0.00015858697588555515 0.0002523343136999756 1.729479117784649e-05 0.0004903870285488665 0.013621650636196136 0.13812245428562164 0.8742906451225281 8.942825661506504e-05
    1.2.826.0.1.3680043.8.498.48868439808660643383546245369237804098 0.00018739761435426772 0.0001492626324761659 0.00019782283925451338 0.0004778603033628315 0.00024262978695333004 0.00025862091570161283 6.157685857033357e-05 0.0146859809756279 0.017995685338974 0.9723749160766602 9.700396913103759e-05
    1.2.826.0.1.3680043.8.498.39173607869944428247592371559954135368 0.00014459426165558398 0.00010746165935415775 0.00011120775889139622 0.00022573636670131236 0.00035630588536150753 2.2372665625880472e-05 0.00019345982582308352 0.005379189737141132 0.06010837107896805 0.9385749697685242 8.76942795002833e-05
    1.2.826.0.1.3680043.8.498.63240919770254218574080886081558779834 0.0028845123015344143 0.002087589353322983 0.0029512098990380764 0.012280551716685295 0.010200798511505127 0.00452172989025712 0.007006204687058926 0.10332588106393814 0.20640280842781067 0.8055533170700073 0.0022756517864763737
    1.2.826.0.1.3680043.8.498.77931642840887267111934858683403528763 0.00037030765088275075 0.0003357600071467459 0.0005146643379703164 0.000574520556256175 0.0009254553588107228 0.00010816172289196402 0.0005998472333885729 0.015669751912355423 0.18865667283535004 0.8300158381462097 0.0002723588258959353
    1.2.826.0.1.3680043.8.498.52345104962664007605958780851781891963 0.0004060693026985973 0.0009149210527539253 0.001114841434173286 0.0007493472658097744 0.0010057464241981506 0.0002487928431946784 0.003967358730733395 0.027397682890295982 0.17733865976333618 0.9517286419868469 0.0002325920358998701
    1.2.826.0.1.3680043.8.498.24672607529690299788095251374325584831 0.00038477100315503776 0.0002552393125370145 0.0003878538846038282 0.0008711150730960071 0.0014116201782599092 8.104660082608461e-05 0.0003742249100469053 0.02083515375852585 0.1488783061504364 0.8152848482131958 0.0002624845947138965
    1.2.826.0.1.3680043.8.498.58317623129692204600852232485433552685 0.000710595864802599 0.0006586270174011588 0.0007408875389955938 0.0011747911339625716 0.001766278757713735 0.00031141762156039476 0.0011988583719357848 0.15361230075359344 0.1987023651599884 0.6124369502067566 0.000600215164013207
    1.2.826.0.1.3680043.8.498.98471840839986896268064871345293362622 0.0013988406863063574 0.04631497710943222 0.9468724131584167 0.004400892648845911 0.012318553403019905 0.001564600272104144 0.6723702549934387 0.11822734773159027 0.4009053111076355 0.5280905961990356 0.0014723781496286392
    1.2.826.0.1.3680043.8.498.12938043480487160257545198163227575073 0.00018028085469268262 0.00020575278904289007 0.0003179151681251824 0.0004684445448219776 0.0002496017550583929 0.00042474333895370364 9.954059351002797e-05 0.006249360740184784 0.04626660794019699 0.960870623588562 0.0001445378438802436
    1.2.826.0.1.3680043.8.498.16698609537575810059309803956584199373 0.0004220233822707087 0.0005191005766391754 0.0005133955855853856 0.0006351367337629199 0.0004935379838570952 0.0007722564041614532 0.00017465984274167567 0.1776464879512787 0.3848649859428406 0.5454492568969727 0.0004807203949894756
    1.2.826.0.1.3680043.8.498.10115429114822976238875266684318215647 0.00019827003416139632 0.0005242660408839583 0.001644456759095192 0.00039088568883016706 0.0004059293423779309 0.001485224929638207 0.00036991346860304475 0.0067169563844799995 0.05290479585528374 0.9778688549995422 0.00010300239227944985
    1.2.826.0.1.3680043.8.498.90850272305556301541602820848142233401 0.00012429023627191782 0.00011867449939018115 0.00023705081548541784 0.00024873929214663804 0.0003755444777198136 4.3338593968655914e-05 0.0003090904501732439 0.0016736788675189018 0.009928246960043907 0.9935046434402466 4.7788736992515624e-05
    1.2.826.0.1.3680043.8.498.65283687413668471340182420346260575456 0.0002567429910413921 0.0002495701774023473 0.0005518061225302517 0.0004885750240646303 0.0007574847550131381 5.167838389752433e-05 0.0006370308110490441 0.008451909758150578 0.016581831499934196 0.985917866230011 0.00010091692820424214
    1.2.826.0.1.3680043.8.498.34962260997756281084853258091224413070 0.0005958579713478684 0.000501618254929781 0.00047072028974071145 0.0008341696229763329 0.0013272031210362911 0.0001495224132668227 0.0009427986806258559 0.17572900652885437 0.2788102626800537 0.6442798376083374 0.0009192622965201735
    1.2.826.0.1.3680043.8.498.20555099342005705855147234137772776056 6.294687045738101e-05 3.984756040154025e-05 9.936586866388097e-05 0.00018114611157216132 0.00014504701539408416 4.051410360261798e-05 4.5271994167706e-05 0.0032750244718044996 0.013061998412013054 0.9872144460678101 3.351570921950042e-05
    1.2.826.0.1.3680043.8.498.12361072136534067365142499553395469654 0.0007193508790805936 0.0006748338928446174 0.0008969962364062667 0.001550824847072363 0.0016905454685911536 0.0004594539350364357 0.0011010989546775818 0.043092988431453705 0.5372580289840698 0.5104497075080872 0.000564262387342751
    1.2.826.0.1.3680043.8.498.72430634650997381393241278037117028336 0.0004476853646337986 0.0003570681728888303 0.0004472330620046705 0.0009160310146398842 0.0005078451940789819 0.0007181946421042085 0.00020593478984665126 0.024931836873292923 0.14372387528419495 0.8636341094970703 0.0003558392054401338
    1.2.826.0.1.3680043.8.498.49478453777380996116765580129364419825 0.0013571586459875107 0.004139202646911144 0.007602365221828222 0.0033434280194342136 0.00934953149408102 0.0016946208197623491 0.09139946848154068 0.16329368948936462 0.37197500467300415 0.6855093240737915 0.0006470668013207614
    1.2.826.0.1.3680043.8.498.11898298406758272493867628818568084411 0.0004095646436326206 0.00027466766186989844 0.00031016586581245065 0.0005719728069379926 0.0009829273913055658 7.904445374151692e-05 0.00034372881054878235 0.03488106280565262 0.1583898961544037 0.8695539236068726 0.0003724680282175541
    1.2.826.0.1.3680043.8.498.94556649838182149494094239584926942245 0.0009596209856681526 0.0009129982208833098 0.0010612753685563803 0.002463748911395669 0.00241802423261106 0.00044088662252761424 0.0017207686323672533 0.21563391387462616 0.7029479146003723 0.19347421824932098 0.0012220903299748898
    1.2.826.0.1.3680043.8.498.94565742727279061578742228048462840948 0.0007269292837008834 0.0005255763535387814 0.0011105809826403856 0.0015518531436100602 0.0021586453076452017 0.00020170486823190004 0.0018838845426216722 0.021618660539388657 0.05039852857589722 0.9237831234931946 0.0004949569120071828
    1.2.826.0.1.3680043.8.498.95960728837779213482973207922513818614 0.000176652567461133 0.0003618373884819448 0.00028602805105037987 0.00017194522661156952 0.00029596895910799503 2.4047374608926475e-05 0.0017262244364246726 0.05659917742013931 0.3875567317008972 0.6116673946380615 0.00015269219875335693
    1.2.826.0.1.3680043.8.498.43312370200195299865103477716657846094 0.00034341117134317756 0.00039089209167286754 0.00044979568338021636 0.00044004511437378824 0.0008194579859264195 0.00011581512080738321 0.0021142452023923397 0.0446125827729702 0.32384008169174194 0.7148369550704956 0.00039101866423152387
    1.2.826.0.1.3680043.8.498.42748376819721011695481451230519675732 0.00017806049436330795 0.000290705356746912 0.0003147312381770462 0.00015503617760259658 0.0003301933465991169 7.827856461517513e-05 0.0010126375127583742 0.034948255866765976 0.0393245704472065 0.9755366444587708 0.0001162168919108808
    1.2.826.0.1.3680043.8.498.49516411427541506858293809032581194222 0.0011909945169463754 0.002085702959448099 0.0053571732714772224 0.007424066308885813 0.0025263172574341297 0.027272388339042664 0.0008951692725531757 0.10513430833816528 0.24024538695812225 0.6895735263824463 0.012499405071139336
    1.2.826.0.1.3680043.8.498.12423789284949514949815538168936108469 0.0010153454495593905 0.0013990849256515503 0.002417703391984105 0.0019911532290279865 0.003651638748124242 0.0005548429908230901 0.007871570065617561 0.3006362318992615 0.18815675377845764 0.4812439978122711 0.0008807876147329807
    1.2.826.0.1.3680043.8.498.11209503721255311464448634307965194867 0.0011159206042066216 0.0024357647635042667 0.002025430789217353 0.0012806450249627233 0.002084913896396756 0.00011588400229811668 0.011789887212216854 0.2578594982624054 0.4542313516139984 0.3759896755218506 0.0009028951753862202
    1.2.826.0.1.3680043.8.498.18488051623202793902393963530839019070 0.00039288742118515074 0.00045431553735397756 0.0004043832013849169 0.0008187981438823044 0.0004020341148134321 0.0013840051833540201 0.00010410229151602834 0.6940838098526001 0.4094454348087311 0.06991511583328247 0.0005793264135718346
    1.2.826.0.1.3680043.8.498.22710567113987700843440687488430551633 0.00020765615045093 0.00027884685550816357 0.00035060750087723136 0.00043356409878470004 0.0005890587926842272 0.00010535992623772472 0.0002714401634875685 0.04756852611899376 0.6919940114021301 0.2925716042518616 0.0001457716862205416
    1.2.826.0.1.3680043.8.498.59060856891622756953918492545276438523 0.001069685211405158 0.0015192261198535562 0.002041089115664363 0.0037429288495332003 0.004456622991710901 0.008575464598834515 0.0035938837099820375 0.04484459012746811 0.46925705671310425 0.6597720384597778 0.0008282267372123897
    1.2.826.0.1.3680043.8.498.26479896064717311564513029741724872599 0.0005718917236663401 0.0005625435151159763 0.0005249720998108387 0.002284545684233308 0.0009953610133379698 0.009306391701102257 0.00034915038850158453 0.03940922021865845 0.13572116196155548 0.868619441986084 0.0007193367928266525
    1.2.826.0.1.3680043.8.498.41259324494013932612383994921819011486 0.00021724267571698874 0.00014048170123714954 0.00018550839740782976 0.0006379972328431904 0.00022700513363815844 0.0005176392733119428 4.8966707254294306e-05 0.09478612244129181 0.11295412480831146 0.765997588634491 0.00018290805746801198
    1.2.826.0.1.3680043.8.498.12361605029931768086706065775091287449 0.00019834257545880973 0.00020364178635645658 0.0003498191072139889 0.0003959225432481617 0.0007643643766641617 4.788110527442768e-05 0.00043759209802374244 0.007419066969305277 0.008775627240538597 0.9903352856636047 5.558864359045401e-05
    1.2.826.0.1.3680043.8.498.11900587929303055889445870531507509885 0.045001473277807236 0.49060267210006714 0.40190449357032776 0.08109128475189209 0.03091133013367653 0.2681639790534973 0.050820909440517426 0.14838111400604248 0.261241614818573 0.30851420760154724 0.0018370489124208689
    1.2.826.0.1.3680043.8.498.89650830371699315863168109555070800959 0.0002565653994679451 0.00023487661383114755 0.0003551420522853732 0.0007431897101923823 0.000542423571459949 0.0004114902694709599 0.00025050033582374454 0.01121613010764122 0.007052906788885593 0.9885920286178589 8.031372999539599e-05
    1.2.826.0.1.3680043.8.498.60886510138582464139782590356074348681 0.0003166315145790577 0.00023924392007756978 0.0003601791977416724 0.0004982880782335997 0.0005324017256498337 0.0001908956910483539 0.0003009510110132396 0.06058155745267868 0.06719345599412918 0.8722898364067078 0.00019642295956145972
    1.2.826.0.1.3680043.8.498.52324510874051058671134278288150280159 0.0014298504684120417 0.0020116434898227453 0.004668770357966423 0.002474121516570449 0.004321896471083164 0.0013986913254484534 0.003559298813343048 0.09682042896747589 0.3743663728237152 0.5423468351364136 0.0009334688074886799
    1.2.826.0.1.3680043.8.498.11079520682199563237787038553232228507 0.0069631608203053474 0.20669519901275635 0.7766439318656921 0.002637068508192897 0.026106059551239014 0.019236918538808823 0.9666076898574829 0.3828759789466858 0.3400200605392456 0.6946943998336792 0.004020125605165958
    1.2.826.0.1.3680043.8.498.10069582688916826070036486888182795591 0.00011798464402090758 0.0001167952868854627 0.00012118995800847188 0.00010908977128565311 0.00018611947598401457 1.5079141121532302e-05 0.00032082703546620905 0.047274790704250336 0.20782098174095154 0.7782237529754639 0.00012953471741639078
    1.2.826.0.1.3680043.8.498.10112415230806012535454552915169598636 0.0002487870224285871 0.0002853944606613368 0.00032689853105694056 0.0004114026087336242 0.0003764523135032505 0.00022955922759138048 0.0003116800799034536 0.025443891063332558 0.2410067319869995 0.8556104898452759 0.00017651027883403003
    1.2.826.0.1.3680043.8.498.53934225083341076301841804533274078161 0.002211223356425762 0.082715705037117 0.7408571839332581 0.0029030274599790573 0.015379135496914387 0.02554452046751976 0.9408310651779175 0.0160338394343853 0.09364643692970276 0.9049582481384277 0.0005906199803575873
    1.2.826.0.1.3680043.8.498.87475747680897014055218206716033496071 0.0004459533956833184 0.0007077186019159853 0.0008637701394036412 0.0007442900678142905 0.0014727734960615635 0.0001781170431058854 0.0017120148986577988 0.004689634311944246 0.03945641219615936 0.9780643582344055 0.00018263212405145168
    1.2.826.0.1.3680043.8.498.11914289016140326093692886771088038624 0.00040278126834891737 0.00031694924109615386 0.00034480163594707847 0.0012552880216389894 0.0010593242477625608 0.0010829714592546225 0.0005874739727005363 0.017870381474494934 0.0641404464840889 0.938513457775116 0.0003312107874080539
    1.2.826.0.1.3680043.8.498.14626327610291498669892909248193229338 0.00040697696385905147 0.0004158322699368 0.0005762363434769213 0.0008487915620207787 0.0007832919945940375 0.0003920567105524242 0.0005021253018639982 0.02717095986008644 0.029383931308984756 0.9747913479804993 0.0002217081346316263
    1.2.826.0.1.3680043.8.498.94194179046131458658786174093125484940 0.00017102304263971746 0.00016589497681707144 0.00024512590607628226 0.0003925010678358376 0.0004898151382803917 0.00014924380229786038 0.0001297628041356802 0.005974921397864819 0.04115670174360275 0.9486509561538696 8.105202141450718e-05
    1.2.826.0.1.3680043.8.498.50294145695839806141903729072669782987 0.008937554433941841 0.019454872235655785 0.07350187003612518 0.06566418707370758 0.11510757356882095 0.32056939601898193 0.5617518424987793 0.018470844253897667 0.19141516089439392 0.9350467920303345 0.5392417907714844
    1.2.826.0.1.3680043.8.498.98989947169702199844105317514885262564 0.00036322110099717975 0.00029045561677776277 0.0003095519496127963 0.0006562701892107725 0.0004597551596816629 0.0005688363453373313 0.00019237279775552452 0.03594177961349487 0.18257367610931396 0.8011625409126282 0.0003768971946556121
    1.2.826.0.1.3680043.8.498.11340461687789209391283371064606939367 0.002560135442763567 0.002066259505227208 0.0014009572332724929 0.005394035018980503 0.005303065292537212 0.0022710110060870647 0.005490461364388466 0.04478706791996956 0.2396858185529709 0.8329905271530151 0.002677577780559659
    1.2.826.0.1.3680043.8.498.11337412448822280484725221916252497570 0.004770376719534397 0.0650273784995079 0.8953002095222473 0.02274044044315815 0.0414578877389431 0.039859212934970856 0.6745020151138306 0.1854449361562729 0.44865626096725464 0.1383344829082489 0.0012388875475153327
    1.2.826.0.1.3680043.8.498.46036068157337079495734926259640388316 0.00023786381643731147 0.00038674334064126015 0.0006531570106744766 0.00021190510597079992 0.0006216798792593181 1.627470373932738e-05 0.0033742845989763737 0.03483826667070389 0.1435929536819458 0.8049214482307434 0.00017030179151333869
    1.2.826.0.1.3680043.8.498.54349355091582225294675925382260666667 0.007490458898246288 0.1683599054813385 0.7873047590255737 0.0036263565998524427 0.012879997491836548 0.03028547205030918 0.9091175198554993 0.022101368755102158 0.11315663158893585 0.9838979840278625 0.9964307546615601
    1.2.826.0.1.3680043.8.498.79962596098857549374595422057040724112 0.00021326651039998978 0.00037149435956962407 0.001129445619881153 0.0003313097695354372 0.0006782397394999862 0.00026175560196861625 0.0006876228144392371 0.11236772686243057 0.2670055031776428 0.6383344531059265 0.0005850204033777118
    1.2.826.0.1.3680043.8.498.66425205738446933624231521861393207838 9.451420919504017e-05 0.00010001529153669253 0.0002771685249172151 0.00016396513092331588 0.00018143097986467183 0.0001711083750706166 9.900401346385479e-05 0.010009834542870522 0.01835312321782112 0.9851841926574707 5.1565428293542936e-05
    1.2.826.0.1.3680043.8.498.84752368028803498125597100378568176667 0.0002619961742311716 0.00020051018509548157 0.00034970726119354367 0.0007443345966748893 0.000362159451469779 0.0003728563024196774 0.00010577875946182758 0.007782629691064358 0.062234245240688324 0.943153977394104 0.00018203312356490642
    1.2.826.0.1.3680043.8.498.43131124293485571089887696772233599776 0.0013159242225810885 0.001538470503874123 0.002119980985298753 0.002139963675290346 0.0048416550271213055 0.0009261089144274592 0.004448317922651768 0.5760954022407532 0.2020416259765625 0.3439902663230896 0.002760864095762372
    1.2.826.0.1.3680043.8.498.25012370372298875316776425122538754256 0.00043657474452629685 0.0006054834229871631 0.0009510259842500091 0.00095094193238765 0.0015562033513560891 0.0011925408616662025 0.002592305187135935 0.01820257678627968 0.041675031185150146 0.9780257344245911 0.00040584587259218097
    1.2.826.0.1.3680043.8.498.13945478834467067882508582626259599837 0.0003072112158406526 0.0003502398612909019 0.0003199016209691763 0.0003892664681188762 0.00039062235737219453 0.0004496295587159693 0.00021469306375365704 0.12865038216114044 0.2666296362876892 0.6464206576347351 0.000285586022073403
    1.2.826.0.1.3680043.8.498.12502211717027579332190263142799541919 0.00024223576474469155 0.0002700414042919874 0.0006342176347970963 0.0004625270958058536 0.0002999167481902987 0.0010981301311403513 7.8639954153914e-05 0.04472358897328377 0.20444805920124054 0.7091981172561646 0.00026480347150936723
    1.2.826.0.1.3680043.8.498.10943408915031684537986755662347290155 0.0010177891235798597 0.0013645931612700224 0.0008642668835818768 0.0008271496626548469 0.0012930508237332106 0.00018926004122477025 0.002673226175829768 0.4575384259223938 0.3944302201271057 0.39230877161026 0.0011023792903870344
    1.2.826.0.1.3680043.8.498.32623386104660918454563398883611567690 0.00020245605264790356 0.00011240405729040504 0.00017343598301522434 0.00042199413292109966 0.0004476459580473602 0.00011187659401912242 0.00015697469643782824 0.0071488553658127785 0.042421143501996994 0.9566923975944519 0.00012363548739813268
    1.2.826.0.1.3680043.8.498.18911853040961458739768193399768594829 0.0002692835405468941 0.00023595018137712032 0.00021452845248859376 0.00033146204077638686 0.00031091709388419986 0.00010702759027481079 0.0006227494450286031 0.1935155987739563 0.2858171761035919 0.44032686948776245 0.0002557769767008722
    1.2.826.0.1.3680043.8.498.11694732430197478808477060429362022938 0.0013052122667431831 0.0174417607486248 0.9862643480300903 0.014092965051531792 0.03723030164837837 0.009571227245032787 0.42136186361312866 0.21381613612174988 0.33962124586105347 0.35807275772094727 0.002739888848736882
    1.2.826.0.1.3680043.8.498.71649036673308961569558565899170973197 0.0012074637925252318 0.0035153632052242756 0.0033476711250841618 0.004442782141268253 0.003081453964114189 0.02723470889031887 0.00614167982712388 0.10775671154260635 0.39202743768692017 0.792375385761261 0.0019608517177402973
    1.2.826.0.1.3680043.8.498.10319658248122165845924799756809580164 0.0005358612397685647 0.0005339297349564731 0.0006880114087834954 0.0008327980758622289 0.001214987481944263 0.00036649085814133286 0.0014532655477523804 0.2318233996629715 0.4834858775138855 0.43121880292892456 0.0006266214768402278
    1.2.826.0.1.3680043.8.498.90952328123898986616168457593353596695 0.00030445680022239685 0.0002769302227534354 0.0004278619890101254 0.0005796289187856019 0.0006980336038395762 0.00013420500908978283 0.00039710980490781367 0.012385547161102295 0.14184750616550446 0.9113339185714722 0.0002243558847112581
    1.2.826.0.1.3680043.8.498.39462160256286923259324814731672207349 0.00016972410958260298 0.0001677413674769923 0.00018370620091445744 0.00023920880630612373 0.0003832487273029983 4.571235695038922e-05 0.0002227026707259938 0.01270054280757904 0.04935215413570404 0.9381042718887329 8.82492313394323e-05
    1.2.826.0.1.3680043.8.498.10256883631159225205264265872578613208 0.0004074393364135176 0.0039338055066764355 0.9948080778121948 0.012597310356795788 0.03154250234365463 0.21083486080169678 0.05891692638397217 0.03523353859782219 0.48695486783981323 0.9397497177124023 0.0009376931702718139
    1.2.826.0.1.3680043.8.498.82438794617223594837148008771821247197 0.0004189378523733467 0.0007382497424259782 0.001112336409278214 0.0007481446373276412 0.0013054549926891923 0.00014497477968689054 0.002956703770905733 0.013532516546547413 0.029289985075592995 0.9807949066162109 0.00021664483938366175
    1.2.826.0.1.3680043.8.498.10446948462923566022598879896972938381 0.0009195971069857478 0.000627207919023931 0.0006103553459979594 0.002917193342000246 0.001192531199194491 0.001076571294106543 0.0005182892782613635 0.023649750277400017 0.08095052093267441 0.9281476736068726 0.0006612554425373673
    1.2.826.0.1.3680043.8.498.26936098584492058774568249093328736863 0.000863655935972929 0.000692258239723742 0.0012680889340117574 0.003514325711876154 0.003925577271729708 0.0012508531799539924 0.00540956249460578 0.01609095372259617 0.03890445455908775 0.9404003024101257 0.0006722278776578605
    1.2.826.0.1.3680043.8.498.21967616401607136588738415341023184476 0.00038710894295945764 0.00044813210843130946 0.0005445092101581395 0.00047422776697203517 0.0008340345812030137 0.0001843538775574416 0.0041089970618486404 0.1511530578136444 0.5545471906661987 0.588901698589325 0.000381905265385285
    1.2.826.0.1.3680043.8.498.10285631408753519893851914136661926403 0.0002003077242989093 0.00016589296865276992 0.0004124987463001162 0.0006202609511092305 0.0006923099281266332 0.00031418679282069206 0.00024278400815092027 0.01074927020817995 0.00961427390575409 0.9873707890510559 0.00010702377039706334
    1.2.826.0.1.3680043.8.498.14482196438318748260993051639714881963 0.0014301789924502373 0.0021416894160211086 0.002434501424431801 0.0022175414487719536 0.008592198602855206 0.0007687246543355286 0.20236189663410187 0.03270633891224861 0.14815108478069305 0.904095470905304 0.0010418575257062912
    1.2.826.0.1.3680043.8.498.74219788971586170995800751879455101447 0.0003945232310798019 0.0003585000231396407 0.0003846125619020313 0.0006199078052304685 0.000558464671485126 0.00033015565713867545 0.00027211790438741446 0.08134733140468597 0.26535844802856445 0.7252054214477539 0.0004084543907083571
    1.2.826.0.1.3680043.8.498.12495947007824038711857793140300081331 0.0024129010271281004 0.05139806866645813 0.9320050477981567 0.017213743180036545 0.10627516359090805 0.015645798295736313 0.6187554001808167 0.02530950866639614 0.0705389603972435 0.7863365411758423 0.0006263601244427264
    1.2.826.0.1.3680043.8.498.11902475082282705681093107954682430219 0.00041689942008815706 0.00023331264674197882 0.00014532593195326626 0.0006428636261262 0.000536587554961443 0.00010064816160593182 0.00021229493722785264 0.028625214472413063 0.11556756496429443 0.919136643409729 0.00021897497936151922
    1.2.826.0.1.3680043.8.498.16323655417967446815727752081100681949 0.000291651813313365 0.00027072749799117446 0.000331631803419441 0.0006153223803266883 0.0006786503363400698 0.00042663319618441164 0.0003623439115472138 0.051297761499881744 0.42906516790390015 0.6859358549118042 0.00034634146140888333
    1.2.826.0.1.3680043.8.498.85486482118049403825501073946234558600 0.027768149971961975 0.2419908344745636 0.3272932171821594 0.031084883958101273 0.0829530581831932 0.08563458174467087 0.5473960638046265 0.023499861359596252 0.0853380411863327 0.8816977739334106 0.003915645182132721
    1.2.826.0.1.3680043.8.498.68777628223749929436669169159265649479 0.00024996005231514573 0.0002954262890852988 0.0003770854673348367 0.0005397633067332208 0.0003198289778083563 0.0009380383417010307 0.00011875996278831735 0.05544688180088997 0.5193922519683838 0.4610939621925354 0.000250513490755111
    1.2.826.0.1.3680043.8.498.92781187992292921184348376082005912266 0.0003262287355028093 0.00036668687243945897 0.0004884900990873575 0.0006832838407717645 0.0005769554991275072 0.0004758947470691055 0.0007353133987635374 0.14950105547904968 0.2566194534301758 0.60052490234375 0.0004002629721071571
    1.2.826.0.1.3680043.8.498.86941138983396257499746133983358310716 0.0006137582240626216 0.0008264699717983603 0.0010809339582920074 0.0008871956961229444 0.0014453137991949916 0.0005638719303533435 0.0005815393524244428 0.019804086536169052 0.3331860601902008 0.7101989984512329 0.00032418404589407146
    1.2.826.0.1.3680043.8.498.51984019182974281500496673615840966319 0.0005332079017534852 0.003593027126044035 0.9866176843643188 0.010924337431788445 0.045831672847270966 0.056816112250089645 0.044759735465049744 0.05842955783009529 0.1173105388879776 0.5250653028488159 0.0003504787164274603
    1.2.826.0.1.3680043.8.498.10924578354624001312474473340163304636 0.00016421786858700216 0.0003785778535529971 0.0003370429330971092 0.00019196452922187746 0.00043554851436056197 2.120347744494211e-05 0.002919476479291916 0.11871671676635742 0.6101361513137817 0.3158082067966461 0.00014633932732976973
    1.2.826.0.1.3680043.8.498.87440517001342578448706174851232985509 0.00042843763367272913 0.008409443311393261 0.9899007678031921 0.011811567470431328 0.022578025236725807 0.77390056848526 0.08184926956892014 0.011962485499680042 0.09780126810073853 0.9831298589706421 0.0009001605212688446
    1.2.826.0.1.3680043.8.498.22980820191722044549943044677035976814 0.00020127002790104598 0.0003019989235326648 0.0006191873108036816 0.0005129251512698829 0.0004095865006092936 0.00042769344872795045 0.0002076375822070986 0.039951078593730927 0.0463925264775753 0.8981941938400269 0.00013327354099601507
    1.2.826.0.1.3680043.8.498.45345462284448072536920604819409504870 0.00046150237903930247 0.0004510922881308943 0.0010659953113645315 0.0023162185680121183 0.003057891735807061 0.004614128731191158 0.0018267016857862473 0.005405712872743607 0.040026530623435974 0.9641423225402832 0.00018264267418999225
    1.2.826.0.1.3680043.8.498.83833699807119133845583588149660808412 0.00047911531873978674 0.001649514539167285 0.0020391223952174187 0.0009366035228595138 0.0016254198271781206 0.00036640677717514336 0.011818483471870422 0.007615469396114349 0.03344198316335678 0.9848266839981079 0.0002378680947003886
    1.2.826.0.1.3680043.8.498.28760121833222241612033717471783835754 0.00044364173663780093 0.0003604708763305098 0.0004002414643764496 0.0014046896249055862 0.0017091936897486448 0.0018621009076014161 0.001293272478505969 0.008129952475428581 0.04808526113629341 0.960063636302948 0.00025950372219085693
    1.2.826.0.1.3680043.8.498.54633458349723458673783110929613296762 0.00614534318447113 0.052449654787778854 0.8848925828933716 0.02902381494641304 0.03807968646287918 0.6693604588508606 0.170169398188591 0.040543265640735626 0.08379721641540527 0.9607447385787964 0.9870885610580444
    1.2.826.0.1.3680043.8.498.34445029745054382885700866509584101788 0.00024927948834374547 0.00021213149011600763 0.00016752255032770336 0.0003439411520957947 0.0004573421610984951 2.4549790396122262e-05 0.0005861356621608138 0.04891861230134964 0.23360700905323029 0.616213321685791 0.00017721913172863424
    1.2.826.0.1.3680043.8.498.11356666374496469612758377887887683409 0.0006840874557383358 0.001579712494276464 0.0023469540756195784 0.001167010748758912 0.0023132534697651863 0.0008906972361728549 0.008077636361122131 0.019173407927155495 0.09281644225120544 0.9426199197769165 0.0003650635189842433
    1.2.826.0.1.3680043.8.498.13178632317115427772296095477819957464 0.0009236076148226857 0.0022086952812969685 0.001950456527993083 0.002241127658635378 0.004441076423972845 0.0028353827074170113 0.01254800520837307 0.021330012008547783 0.06134819984436035 0.961436927318573 0.00040948163950815797
    1.2.826.0.1.3680043.8.498.11536471576122938380167973631706555741 0.00023770770349074155 0.00020998428226448596 0.0005317284958437085 0.0006072440883144736 0.0007180540123954415 0.0001914851600304246 0.00031850155210122466 0.0063743991777300835 0.04110460355877876 0.953394889831543 0.00011768715921789408
    1.2.826.0.1.3680043.8.498.57271618472521837734557696660937153463 0.00021220985217951238 0.0003245367552153766 0.0005603834870271385 0.00023342028725892305 0.0004094697069376707 6.897510320413858e-05 0.0010601955000311136 0.019608214497566223 0.0527777262032032 0.9657968282699585 7.953440945129842e-05
    1.2.826.0.1.3680043.8.498.89706252044806585296128757960444868516 0.0002155622496502474 0.00013801190652884543 0.00010851582192117348 0.0005473241908475757 0.0004228270554449409 7.520098733948544e-05 0.00032364067737944424 0.10269902646541595 0.46690717339515686 0.3926466107368469 0.00024140831374097615
    1.2.826.0.1.3680043.8.498.45118551745493901095164166697011287317 0.00019021931802853942 0.00014768901746720076 0.00030684852390550077 0.00021588588424492627 0.0004219627007842064 6.264330295380205e-05 0.0002663222549017519 0.030958542600274086 0.1312127560377121 0.8919867277145386 0.00014803907833993435
    1.2.826.0.1.3680043.8.498.10957590265158040356840851382101760755 0.00017606242909096181 0.00044430335401557386 0.0013810120290145278 0.0005994652165099978 0.00025605750852264464 0.0017960633849725127 0.00014574335364159197 0.3919973373413086 0.43934550881385803 0.38792452216148376 0.0006077645230107009
    1.2.826.0.1.3680043.8.498.49224866571460146676274534697300062117 9.936236165231094e-05 0.00017993465007748455 0.00044878857443109155 0.0005242861225269735 0.00022741069551557302 0.0009086831705644727 7.782941975165159e-05 0.003908461891114712 0.01078992709517479 0.9936607480049133 5.272882481222041e-05
    1.2.826.0.1.3680043.8.498.10962379270826121966812858642780195270 0.00020786109962500632 0.00016053309082053602 0.00027555631822906435 0.00036381324753165245 0.0004876233288086951 0.00018765934510156512 0.0002687775413505733 0.0168913584202528 0.03828473389148712 0.9522218704223633 0.00016053013678174466
    1.2.826.0.1.3680043.8.498.13055192741036898932992186001622481518 0.0011719295289367437 0.023227816447615623 0.9662243127822876 0.009558464400470257 0.054672133177518845 0.13152575492858887 0.33265724778175354 0.014495116658508778 0.09267514944076538 0.9767681360244751 0.0014404179528355598
    1.2.826.0.1.3680043.8.498.84748375933584844528497896497844913436 0.0012363678542897105 0.001530392561107874 0.0029658894054591656 0.001896879286505282 0.0030286989640444517 0.00043377606198191643 0.014378597028553486 0.05268494039773941 0.2116071879863739 0.705733597278595 0.000988446525298059
    1.2.826.0.1.3680043.8.498.13254341590456227021889985101280870446 0.00023211163352243602 0.00015532432007603347 0.00032104342244565487 0.0005114555242471397 0.0006338519742712379 5.901364056626335e-05 0.0003014692629221827 0.0406724251806736 0.09635123610496521 0.866625189781189 0.00020608263730537146
    1.2.826.0.1.3680043.8.498.33271853816199935572179177811346653582 0.0002774674794636667 0.00024979558656923473 0.0002439004892949015 0.0003325298894196749 0.0005206058267503977 8.566015458200127e-05 0.0013403366319835186 0.1660480946302414 0.3144930899143219 0.46528610587120056 0.0003063906915485859
    1.2.826.0.1.3680043.8.498.45933129213427444937745331067992950038 0.010077528655529022 0.21940159797668457 0.7626940011978149 0.020800137892365456 0.03191283345222473 0.13194265961647034 0.46785086393356323 0.21083171665668488 0.7553964853286743 0.4748966097831726 0.004610722418874502
    1.2.826.0.1.3680043.8.498.12228730356926183515091123887467895543 0.000532937643583864 0.0005055777146480978 0.0004851761623285711 0.0012278094654902816 0.0008311317069455981 0.0009533585980534554 0.0003953014384023845 0.1765402853488922 0.21780388057231903 0.803978443145752 0.0013841321924701333
    1.2.826.0.1.3680043.8.498.85315061129849279101475912474833219448 0.00031232647597789764 0.0005123277078382671 0.0009692597086541355 0.0005514089716598392 0.0006419670535251498 0.000670259993057698 0.001226180698722601 0.015362384729087353 0.24331653118133545 0.8673566579818726 0.0004105178522877395
    1.2.826.0.1.3680043.8.498.12432122165423626686875254874228585218 0.00022928525868337601 0.000402961450163275 0.0003826306783594191 0.0004975224146619439 0.00023016458726488054 0.0016412080731242895 7.105023541953415e-05 0.11583131551742554 0.6143494248390198 0.41864538192749023 0.00048083587898872793
    1.2.826.0.1.3680043.8.498.12278501872110467618498853934886715609 0.0002038554521277547 0.0002554911479819566 0.0005515592638403177 0.0005054082721471786 0.0008016644278541207 0.00011221742170164362 0.0003606518730521202 0.0060774642042815685 0.018234843388199806 0.9842103123664856 8.992652874439955e-05
    1.2.826.0.1.3680043.8.498.95922042032323928281308020353675330721 0.009915822185575962 0.16346892714500427 0.7732812762260437 0.018507327884435654 0.07719503343105316 0.4003908038139343 0.4699593484401703 0.045240748673677444 0.22089223563671112 0.7169814109802246 0.006005372852087021
    1.2.826.0.1.3680043.8.498.49631339519739414715976498329929686234 0.00016433667042292655 0.00016165850684046745 0.0001631768245715648 0.0002729893021751195 0.0003224242536816746 6.766667502233759e-05 0.0002686717489268631 0.016231821849942207 0.03648729994893074 0.9599515199661255 9.878055425360799e-05
    1.2.826.0.1.3680043.8.498.68937220777082194625673303125098099193 0.0027123349718749523 0.03678790479898453 0.9383231997489929 0.015086641535162926 0.044794052839279175 0.019152017310261726 0.32643675804138184 0.14032487571239471 0.3296735882759094 0.6394674777984619 0.0016753788804635406
    1.2.826.0.1.3680043.8.498.92036721354335662635469683684741539810 0.00034659591619856656 0.00030289930873550475 0.00041559874080121517 0.0004828456440009177 0.0007279974524863064 7.369022932834923e-05 0.00070082803722471 0.03972728177905083 0.04356568306684494 0.931842029094696 0.0001894184242701158
    1.2.826.0.1.3680043.8.498.10127899315164211422076918158164309105 0.00030410755425691605 0.0004478812334127724 0.00042819874943234026 0.0003203835221938789 0.0006262276438064873 1.4613935491070151e-05 0.002947624307125807 0.06444454938173294 0.26476946473121643 0.7859452366828918 0.0002724361838772893
    1.2.826.0.1.3680043.8.498.79197269753560835403309972718628645628 0.0006311091710813344 0.0015579672763124108 0.004871435929089785 0.001148575684055686 0.0020338925532996655 0.0003790931950788945 0.028385749086737633 0.01018591783940792 0.03307176008820534 0.9817472696304321 0.0003053633263334632
    1.2.826.0.1.3680043.8.498.61675713217763352152494017510342248535 0.0006825082236900926 0.0009271103772334754 0.0015296724159270525 0.0014209540095180273 0.002255229279398918 0.0003281133249402046 0.001295129070058465 0.11098593473434448 0.6858755946159363 0.00038060490624047816
    1.2.826.0.1.3680043.8.498.58158240367325542195925897764512688744 0.00027989063528366387 0.00027401099214330316 0.0004976783529855311 0.0006065283669158816 0.0007840626058168709 0.00019018551392946392 0.0004183286218903959 0.010819186456501484 0.05300959199666977 0.9585598111152649 0.0001352176914224401
    1.2.826.0.1.3680043.8.498.11890523480009841114144024769416188514 0.0001847258536145091 0.00024045954342000186 0.00046989700058475137 0.00042231689440086484 0.0005269789253361523 0.00018343603005632758 0.00022170506417751312 0.0104890838265419 0.021855708211660385 0.9798256754875183 7.987076241988689e-05
    1.2.826.0.1.3680043.8.498.56551456457925294000653750799022776707 0.0030939250718802214 0.004850022494792938 0.00882439874112606 0.03655952960252762 0.07200099527835846 0.2499891072511673 0.15455152094364166 0.012323489412665367 0.053635984659194946 0.9619835019111633 0.0010534718167036772
    1.2.826.0.1.3680043.8.498.12933419728168458705326808727039178616 0.00043836928671225905 0.0006163470097817481 0.0007986733689904213 0.0008718241006135941 0.0008182827150449157 0.0015313304029405117 0.0004337277787271887 0.14111807942390442 0.5872955918312073 0.35245683789253235 0.0005192860262468457
    1.2.826.0.1.3680043.8.498.81291957321637136444381237566410833320 0.0002477417583577335 0.00024089205544441938 0.0002640302409417927 0.0005451103788800538 0.00045309076085686684 0.0003989574033766985 0.00010602350812405348 0.02667413093149662 0.631646990776062 0.38789883255958557 0.0002353008312638849
    1.2.826.0.1.3680043.8.498.11740804850450683147456680635149985027 0.00035727021167986095 0.000382179714506492 0.0010967261623591185 0.002009123098105192 0.00037924054777249694 0.0017039861995726824 0.00013137084897607565 0.07080890983343124 0.1969297230243683 0.8121617436408997 0.0007637619273737073
    1.2.826.0.1.3680043.8.498.10097549754994753359763410053857145584 0.00018283541430719197 0.0001533548056613654 0.00021809680038131773 0.0003917295834980905 0.0005033963825553656 4.1296036215499043e-05 0.00025920296320691705 0.016731727868318558 0.15703707933425903 0.8391395807266235 0.00014377119077835232
    1.2.826.0.1.3680043.8.498.19652974864589042151362785193362524832 0.0007603317499160767 0.0006976579315960407 0.0014232888352125883 0.0020704895723611116 0.0032000034116208553 0.00028865630156360567 0.0014984251465648413 0.01137576811015606 0.03723344951868057 0.961341381072998 0.00031235904316417873
    1.2.826.0.1.3680043.8.498.94937249136185452162800641161321081306 0.00029624701710417867 0.00021895262761972845 0.0002893860510084778 0.0005565566825680435 0.0007194237550720572 5.514390068128705e-05 0.0003126807860098779 0.029533663764595985 0.08795852214097977 0.9006000757217407 0.00020698088337667286
    1.2.826.0.1.3680043.8.498.82768453328879126776309370714662956525 0.00047453484148718417 0.0005827007116749883 0.000763852265663445 0.0009364640573039651 0.0011740955524146557 0.00017344737716484815 0.000713735178578645 0.08611893653869629 0.6211975812911987 0.4558349549770355 0.00028092958382330835
    1.2.826.0.1.3680043.8.498.30613966872078331181238380738127188223 0.0002315575984539464 0.0002076124947052449 0.0003751637996174395 0.00040675426134839654 0.0004907793481834233 0.0001969096774701029 0.00016890207189135253 0.00738746952265501 0.08390884101390839 0.9087992906570435 0.00012700268416665494
    1.2.826.0.1.3680043.8.498.47907553123752699550166586855958686405 0.00020286228391341865 0.0002241679758299142 0.0003942646144423634 0.0005794538883492351 0.00027899473207071424 0.0010114150354638696 5.8599282056093216e-05 0.013352465815842152 0.1348000317811966 0.8763553500175476 0.0001747659407556057
    1.2.826.0.1.3680043.8.498.72828220832318152329896622117026798204 0.0006273492472246289 0.0007777932332828641 0.0027881471905857325 0.003535856958478689 0.0029622428119182587 0.005329993553459644 0.0011725733056664467 0.0884581059217453 0.07003606855869293 0.9251357316970825 0.00037812450318597257
    1.2.826.0.1.3680043.8.498.12390112263638201417628644562130857750 0.005692827980965376 0.20298227667808533 0.6303856372833252 0.0023203191813081503 0.0050300671719014645 0.015937423333525658 0.9553192853927612 0.08650729060173035 0.27277272939682007 0.8327412605285645 0.6107754707336426
    1.2.826.0.1.3680043.8.498.50982280359194464828664872571491324859 0.00026415399042889476 0.00029732141410931945 0.0004888461553491652 0.0006306242430582643 0.0009830259950831532 5.95184501435142e-05 0.007326165679842234 0.06284292042255402 0.9280712008476257 0.0001413493591826409
    1.2.826.0.1.3680043.8.498.71261957456858354202880654603473537320 0.0024711706209927797 0.013676971197128296 0.026908110827207565 0.0022200350649654865 0.021579373627901077 0.004413010086864233 0.9897468686103821 0.11739154905080795 0.2753508687019348 0.5307065844535828 0.0015769659075886011
    1.2.826.0.1.3680043.8.498.43220486386311396106017369458393393513 0.0004352692631073296 0.00033185043139383197 0.00039889587787911296 0.0007411242695525289 0.0008047733572311699 0.0003092567203566432 0.0003390323545318097 0.03545425087213516 0.029820719733834267 0.9581012725830078 0.00020134812803007662
    1.2.826.0.1.3680043.8.498.91556065965256475244378467792728636777 0.0015532552497461438 0.0051440466195344925 0.01033520232886076 0.0019049880793318152 0.0051962449215352535 0.000986871193163097 0.12171351909637451 0.17277146875858307 0.21819265186786652 0.3883732259273529 0.0007652374333702028
    1.2.826.0.1.3680043.8.498.10646082899768651978125994614066014518 6.436096737161279e-05 9.237841004505754e-05 0.00023121936828829348 0.00016805014456622303 0.0001388466771459207 0.0003154770820401609 5.4922373237786815e-05 0.006136766634881496 0.016275901347398758 0.9840221405029297 3.410365752642974e-05
    1.2.826.0.1.3680043.8.498.84247998573358709067538384138384721100 0.0013064381200820208 0.05890155956149101 0.9501938819885254 0.020885044708848 0.00778213981539011 0.9348788261413574 0.02117123454809189 0.06342367827892303 0.29468294978141785 0.548387885093689 0.002307361224666238
    1.2.826.0.1.3680043.8.498.99122378942086585458121428971284043646 0.00027917802799493074 0.0002399868390057236 0.00020808381668757647 0.0003376455861143768 0.0005160662694834173 4.559396256809123e-05 0.0007414668798446655 0.04712178558111191 0.28872114419937134 0.7141188383102417 0.00030395924113690853
    1.2.826.0.1.3680043.8.498.61252627830586004343535687273426907230 0.00018203852232545614 0.0004018153122160584 0.0007918340270407498 0.0002760394709184766 0.00038180287810973823 6.039674553903751e-05 0.006394720170646906 0.019339287653565407 0.05826439708471298 0.959342360496521 0.0001337075955234468
    1.2.826.0.1.3680043.8.498.61006326826115163022620393465001224275 0.00013449150719679892 0.00012096537830075249 0.00014316520537249744 0.00018144909699913114 0.000179156573722139 0.00012403303117025644 6.372890493366867e-05 0.042625658214092255 0.053018055856227875 0.9258610606193542 9.758229862200096e-05
    1.2.826.0.1.3680043.8.498.10480513743505388323670956606779413126 0.013328230008482933 0.27799734473228455 0.652692973613739 0.027120551094412804 0.041845399886369705 0.5847899913787842 0.14670412242412567 0.05289219692349434 0.31537726521492004 0.8642768859863281 0.005748448893427849
    1.2.826.0.1.3680043.8.498.10068042846486951897146262305314065898 0.000384348735678941 0.0004905027453787625 0.0004699068667832762 0.0006526822689920664 0.0008046395378187299 8.162577432813123e-05 0.0017960669938474894 0.014022168703377247 0.048217304050922394 0.972673237323761 0.00012326128489803523
    1.2.826.0.1.3680043.8.498.10791119997664567701813086599018195417 0.00046250474406406283 0.0005342675722204149 0.0005840596277266741 0.0008923689019866288 0.001101213158108294 0.00034398381831124425 0.0005793409654870629 0.07640914618968964 0.634807288646698 0.3638980984687805 0.0003027018974535167
    1.2.826.0.1.3680043.8.498.31102838709173005411167533857855902633 0.00034594250610098243 0.000550858851056546 0.00043552322313189507 0.0004042392538394779 0.0006231319275684655 0.0003386027237866074 0.0005599320866167545 0.026968318969011307 0.35864022374153137 0.6251519918441772 0.0002588797942735255
    1.2.826.0.1.3680043.8.498.12354943637801947100228854607251702914 0.0002125744940713048 0.0004459252522792667 0.0008053036290220916 0.00027288502315059304 0.00047350992099381983 0.0006534943240694702 0.004366611130535603 0.005939654540270567 0.06428555399179459 0.9693225026130676 0.00019510826678015292
    1.2.826.0.1.3680043.8.498.90493215086461648917003275711814802771 0.000296297250315547 0.0004286652838345617 0.0010077556362375617 0.0010187642183154821 0.0006865763571113348 0.0011558181140571833 0.0002682211925275624 0.026174236088991165 0.03692241385579109 0.9492617845535278 0.0001955615298356861
    1.2.826.0.1.3680043.8.498.63634572417051025969309895892729515446 0.0014382536755874753 0.0029791388660669327 0.004066110588610172 0.003121097106486559 0.004846763797104359 0.0014981545973569155 0.028137698769569397 0.017550459131598473 0.0766770988702774 0.9608111381530762 0.0009761486435309052
    1.2.826.0.1.3680043.8.498.65797635729448652098669222970072267122 0.00036502518923953176 0.00032667533378116786 0.0004753730318043381 0.0005954639636911452 0.0006556886364705861 0.00017059165111277252 0.0004100098740309477 0.07739730179309845 0.3933226466178894 0.6493027806282043 0.0003809201007243246
    1.2.826.0.1.3680043.8.498.12047450745201331496783192093033206557 0.0003723610716406256 0.0004199533723294735 0.00028594754985533655 0.0009376335656270385 0.0003876522823702544 0.0006290919263847172 0.00017490950995124876 0.013999615795910358 0.08677776902914047 0.9345495104789734 0.00022646163415629417
    1.2.826.0.1.3680043.8.498.42769016943622983731143034708223661606 0.000362711725756526 0.00021574401762336493 0.0002470227191224694 0.0008255612920038402 0.0007674510707147419 0.00010537136404309422 0.0004106144479010254 0.2884010374546051 0.1576891541481018 0.4787573218345642 0.0003075478889513761
    1.2.826.0.1.3680043.8.498.21370867182723513960072524223783341624 0.0002847278374247253 0.00023607854382134974 0.0003422685549594462 0.0003654175088740885 0.0006255809566937387 4.324623660068028e-05 0.0010700278216972947 0.02279394119977951 0.19952839612960815 0.8514426350593567 0.00024119220324791968
    1.2.826.0.1.3680043.8.498.40437098215772691262383723092969693133 0.0001960000954568386 0.0001123886468121782 0.0001406632363796234 0.0004896377213299274 0.0006045862683095038 5.4758740589022636e-05 0.00025322893634438515 0.007837483659386635 0.02553310990333557 0.9743109941482544 0.00011012961476808414
    1.2.826.0.1.3680043.8.498.79970459628459740787353154681831228331 0.00015707677812315524 0.00030206359224393964 0.0008176752598956227 0.0003306737053208053 0.00045274695730768144 0.0006208571139723063 0.00046495269634760916 0.006118688732385635 0.06095995754003525 0.9633864164352417 9.942504402715713e-05
    1.2.826.0.1.3680043.8.498.11860371537271123777979171659103134339 0.004943842068314552 0.1326969861984253 0.8333250284194946 0.0028689641039818525 0.01835327409207821 0.027178103104233742 0.9534050226211548 0.07119379937648773 0.2697925567626953 0.517884373664856 0.002124486491084099
    1.2.826.0.1.3680043.8.498.75335770112779353639184261483569136656 0.00021638449106831104 0.0002999065909534693 0.00048512290231883526 0.00047701518633402884 0.0005767386173829436 0.0009272991446778178 0.00033271469874307513 0.08424738794565201 0.5812190771102905 0.38046884536743164 0.00028961923089809716
    1.2.826.0.1.3680043.8.498.63620380209763265056788430216898635812 0.0003409901983104646 0.0003175464808009565 0.0006267811404541135 0.0006683376850560308 0.0006524246418848634 0.0003440918808337301 0.00025393805117346346 0.12748996913433075 0.4995068609714508 0.4782896041870117 0.00043940055184066296
    1.2.826.0.1.3680043.8.498.79452853012663423907151443913717108891 0.0013197537045925856 0.0257791168987751 0.9825502634048462 0.014866406098008156 0.05259251594543457 0.55841064453125 0.37448936700820923 0.021908704191446304 0.3145279586315155 0.9614596366882324 0.002546614035964012
    1.2.826.0.1.3680043.8.498.28047094554651293680741843700084600667 0.00025424285558983684 0.00023513119958806783 0.00020688089716713876 0.00036328076384961605 0.0005509721813723445 2.8555712560773827e-05 0.0004412323178257793 0.08962256461381912 0.41067782044410706 0.5603065490722656 0.00024961790768429637
    1.2.826.0.1.3680043.8.498.13271069140133031941045380867240876173 0.0003059274167753756 0.0002946819586213678 0.00027911487268283963 0.0005060419789515436 0.0005543128936551511 0.00011291795817669481 0.0004796425346285105 0.05640021711587906 0.12575863301753998 0.8152409791946411 0.0005129153141751885
    1.2.826.0.1.3680043.8.498.70219612801435564128569244881903124903 0.00015661740326322615 0.00012788860476575792 0.00013478976325131953 0.00023528207384515554 0.0003583049983717501 1.3742258488491643e-05 0.0011247519869357347 0.006108000874519348 0.03822163864970207 0.9666515588760376 7.67401943448931e-05
    1.2.826.0.1.3680043.8.498.10036374001794230192406113119175467027 0.00019254800281487405 0.0001322553725913167 0.00022848563094157726 0.00042837479850277305 0.0004841955378651619 8.85461486177519e-05 0.00017675642448011786 0.004538373090326786 0.013098245486617088 0.9912840127944946 7.114002801245078e-05
    1.2.826.0.1.3680043.8.498.13303024880547012466024657605182267947 0.0007386835641227663 0.0015390204498544335 0.0019110210705548525 0.0007671775529161096 0.0014193849638104439 0.00012684825924225152 0.005976198706775904 0.34147635102272034 0.40351396799087524 0.3192654252052307 0.0006740129902027547
    1.2.826.0.1.3680043.8.498.54048883686009125273807745025626865833 0.0003578060423023999 0.0005424540722742677 0.0006927637150511146 0.0007603951962664723 0.0007455749437212944 0.0008569334750063717 0.002262287540361285 0.024804623797535896 0.049782074987888336 0.966438889503479 0.00030814713682048023
    1.2.826.0.1.3680043.8.498.11557193281052846644210546555071988414 0.0002648632798809558 0.0003127648087684065 0.0008357004262506962 0.0005541775608435273 0.0005801088409498334 0.0006293376791290939 0.00026487576542422175 0.011799382977187634 0.07685422897338867 0.9070414304733276 0.0001499819045420736
    1.2.826.0.1.3680043.8.498.41139606224473559539135292465609150002 0.00020717771258205175 0.00028762948932126164 0.00044317953870631754 0.0002106663741869852 0.00036135088885203004 3.9067243051249534e-05 0.0022880262695252895 0.041944436728954315 0.24244876205921173 0.7747093439102173 0.00014810473658144474
    1.2.826.0.1.3680043.8.498.33426541084050922126044157497759698686 0.0005792237352579832 0.0003792799252551049 0.0006666571134701371 0.0013886122032999992 0.0018315712222829461 0.00014296601875685155 0.0004727504274342209 0.025996845215559006 0.09716232120990753 0.847078800201416 0.0003549281682353467
    1.2.826.0.1.3680043.8.498.92827697922896503509537203085188431838 0.005980611778795719 0.12823054194450378 0.6353504657745361 0.027265775948762894 0.01045859046280384 0.7892853021621704 0.2001122236251831 0.07295017689466476 0.35937508940696716 0.3842184543609619 0.003327230690047145
    1.2.826.0.1.3680043.8.498.98467316088019636170865362090636761537 0.0019496234599500895 0.003366104094311595 0.0024186077062040567 0.0023396580945700407 0.004715554881840944 0.0012012554798275232 0.009642107412219048 0.8642593622207642 0.17898452281951904 0.003487327368929982
    1.2.826.0.1.3680043.8.498.36750821094863178751387559055492584949 0.0003081075847148895 0.0014174196403473616 0.9877281188964844 0.009740614332258701 0.043082304298877716 0.021062251180410385 0.024005210027098656 0.03836021572351456 0.13078024983406067 0.8161142468452454 0.0002991694782394916
    1.2.826.0.1.3680043.8.498.68602978046256677843264388809051739130 0.00025624787667766213 0.00013861642219126225 0.00018839693802874535 0.0008235524292103946 0.0006354987272061408 0.0009511334937997162 0.0003386259195394814 0.01946016028523445 0.06392405182123184 0.9274864196777344 0.00023495688219554722
    1.2.826.0.1.3680043.8.498.10110329396874482036368928805414450881 0.0004961643135175109 0.0005711703561246395 0.0007275023381225765 0.0011398615315556526 0.0013295859098434448 0.0006737398216500878 0.0009534740820527077 0.08082233369350433 0.29725298285484314 0.7290024161338806 0.00045366567792370915
    1.2.826.0.1.3680043.8.498.69770191515774487909483811205611003182 0.0006400630227290094 0.0010071907890960574 0.0005298297619447112 0.000872920558322221 0.0013021414633840322 0.00032043742248788476 0.001250165980309248 0.3095223903656006 0.6153742074966431 0.2032279521226883 0.000598275160882622
    1.2.826.0.1.3680043.8.498.98098712942241681747327275070421039588 9.101236355490983e-05 8.06502066552639e-05 8.701899787411094e-05 0.00021562838810496032 8.988984336610883e-05 0.00018121922039426863 3.5560929973144084e-05 0.01563260331749916 0.05329928919672966 0.9503820538520813 7.773864490445703e-05
    1.2.826.0.1.3680043.8.498.12471317172809994488120719123548974120 0.004546898417174816 0.0794486552476883 0.8250926733016968 0.029893213883042336 0.04644140973687172 0.07786937057971954 0.38673704862594604 0.11042213439941406 0.2530767619609833 0.14911361038684845 0.000333143601892516
    1.2.826.0.1.3680043.8.498.10016971606732284006071899723342963784 0.0007023494108580053 0.001742396503686905 0.0017191130900755525 0.001170916249975562 0.0015975069254636765 0.0001485335233155638 0.012268975377082825 0.02152794413268566 0.03985578939318657 0.9728696942329407 0.00031518033938482404
    1.2.826.0.1.3680043.8.498.92906496797938925977555600503766411133 0.0004545142874121666 0.0004605578724294901 0.0005112862563692033 0.0007653622888028622 0.0011204394977539778 0.0002073873474728316 0.0006605745293200016 0.14879222214221954 0.24183289706707 0.6293341517448425 0.0009936194401234388
    1.2.826.0.1.3680043.8.498.12280321790539797072177941861231372604 0.0007711030775681138 0.0009823414729908109 0.001286218874156475 0.0014965038280934095 0.0018386266892775893 0.0005000180099159479 0.0018205452943220735 0.0616675540804863 0.38095274567604065 0.6669949293136597 0.0006099760648794472
    1.2.826.0.1.3680043.8.498.10853697700133319764383995133934368182 0.000180673276190646 0.00016252209024969488 0.0003151000419165939 0.00021621696942020208 0.00028043161728419363 7.111088780220598e-05 0.00017175957327708602 0.017664577811956406 0.08492644131183624 0.8951423764228821 9.034329559653997e-05
    1.2.826.0.1.3680043.8.498.15237132562016374994371533192594141594 0.0008444806444458663 0.0027849641628563404 0.0034804113674908876 0.00258879316970706 0.002402172889560461 0.01855994202196598 0.004496191628277302 0.2149290144443512 0.4706736207008362 0.7053288817405701 0.0014434832846745849
    1.2.826.0.1.3680043.8.498.56546586188789107006216144379598496698 0.00014764434308744967 0.0003474776167422533 0.0002514097432140261 0.0001785397034836933 0.0002666680666152388 6.150100671220571e-05 0.0029388496186584234 0.01309027336537838 0.14576177299022675 0.9401150941848755 0.0001260544522665441
    1.2.826.0.1.3680043.8.498.10354675705405389187387263249409782008 0.009808149188756943 0.13469421863555908 0.7300094366073608 0.04342850670218468 0.07886327803134918 0.163776233792305 0.39931946992874146 0.08340940624475479 0.5082059502601624 0.5524150133132935 0.0032289475202560425
    1.2.826.0.1.3680043.8.498.54240402019993883044330781471916755798 0.0002194066037191078 0.0001771847892086953 0.000320750375976786 0.000446671387180686 0.0002785047981888056 0.000587768736295402 0.00010603370901662856 0.07055988162755966 0.31978511810302734 0.587608277797699 0.0002803431998472661
    1.2.826.0.1.3680043.8.498.41382256723276059104361089830676276163 0.0003933602129109204 0.00032757839653640985 0.0005391716258600354 0.0007154245977289975 0.0008265625801868737 0.0004303512105252594 0.000516780826728791 0.020185422152280807 0.020203953608870506 0.9740293622016907 0.00018135418940801173
    1.2.826.0.1.3680043.8.498.67595032261757076382616020216110632103 0.0006748941959813237 0.001353168161585927 0.0014864136464893818 0.0027232279535382986 0.0023695651907473803 0.024905990809202194 0.011953482404351234 0.008201031014323235 0.08055303990840912 0.9730900526046753 0.001049766899086535
    1.2.826.0.1.3680043.8.498.10975693627221821934521571126241900510 0.0006659311475232244 0.0007628451567143202 0.0008258934249170125 0.001148523180745542 0.0015777538064867258 0.000248788739554584 0.0013025514781475067 0.13915328681468964 0.6805156469345093 0.2420016974210739 0.0005374288884922862
    1.2.826.0.1.3680043.8.498.74035413484937932615481656710086522149 0.0007139290100894868 0.0006766376318410039 0.0009211833821609616 0.0018895106622949243 0.0027996781282126904 0.00017748998652677983 0.002991575049236417 0.03401614725589752 0.1835094839334488 0.8050519824028015 0.0006768769235350192
    1.2.826.0.1.3680043.8.498.72211679826822709316206167270431106473 0.00038424661033786833 0.0003975234867539257 0.000447391823399812 0.0006048946524970233 0.0005898427334614098 0.0002723017241805792 0.00036234292201697826 0.13352404534816742 0.3645476698875427 0.4765591621398926 0.00033275000168941915
    1.2.826.0.1.3680043.8.498.39106219164335814296356920717665928988 0.0014495186042040586 0.002671323250979185 0.0024929377250373363 0.00242363172583282 0.00447006756439805 0.00035021337680518627 0.006863251328468323 0.016945164650678635 0.19993856549263 0.8895121812820435 0.0009324471466243267
    1.2.826.0.1.3680043.8.498.53669361161850646201130069248368841093 0.000249785662163049 0.00023736641742289066 0.0002260775800095871 0.0004283832968212664 0.0005082982825115323 5.120625064591877e-05 0.0015051388181746006 0.010185252875089645 0.046305786818265915 0.9523769617080688 0.00013113112072460353
    1.2.826.0.1.3680043.8.498.50496992662579902654894006159193277584 0.00019025165238417685 0.00014791954890824854 0.00015495823754463345 0.00036412273766472936 0.00020100730762351304 0.0004060539067722857 4.0429622458759695e-05 0.0577465184032917 0.04916689544916153 0.9223423004150391 0.00012296900968067348
    1.2.826.0.1.3680043.8.498.11706144979710713602514155127809859181 0.00011623102182056755 0.00011281657498329878 0.00012708085705526173 0.00018170311523135751 0.0002537789987400174 6.471245433203876e-05 0.0001225892483489588 0.005872770678251982 0.09066067636013031 0.9084893465042114 6.39446807326749e-05
    1.2.826.0.1.3680043.8.498.92431639625019636008757784035011235815 0.0005601309239864349 0.0004906730609945953 0.0004512556770350784 0.0009058308787643909 0.0008030583849176764 0.0007663755677640438 0.00036805192939937115 0.302533358335495 0.4101729393005371 0.435158908367157 0.0006929103983566165
    1.2.826.0.1.3680043.8.498.10184802307209842469128248621640333882 0.00022857740987092257 0.00037326914025470614 0.000334017735440284 0.0002648837398737669 0.00026035355404019356 3.568052488844842e-05 0.0011480188695713878 0.021752359345555305 0.14695420861244202 0.8658207654953003 0.00017171258514281362
    1.2.826.0.1.3680043.8.498.11614331146035114198601943836209982336 0.00043738418025895953 0.00035729585215449333 0.00035832769935950637 0.0006523301708512008 0.000808622338809073 0.00017032709729392081 0.0006610129494220018 0.029258251190185547 0.22656047344207764 0.7921469807624817 0.0003820171987172216
    1.2.826.0.1.3680043.8.498.24883962487942146827584724348122689152 0.00022158487990964204 0.0002518154215067625 0.0003805323503911495 0.0004972527385689318 0.000656789808999747 9.148307435680181e-05 0.0005613098619505763 0.008850458078086376 0.01755509339272976 0.9782220721244812 8.694594725966454e-05
    1.2.826.0.1.3680043.8.498.58531032294099226785498765274102197303 0.00509763415902853 0.0704830139875412 0.6376513242721558 0.027683977037668228 0.05052946135401726 0.22234320640563965 0.09370912611484528 0.01971377804875374 0.060883473604917526 0.9520894885063171 0.0031084062065929174
    1.2.826.0.1.3680043.8.498.11291966194172308238281086538390234821 0.0003029804793186486 0.0002431751199765131 0.00035002402728423476 0.0005527321482077241 0.0004927291884087026 0.00030608492670580745 0.00019171921303495765 0.010252156294882298 0.032055240124464035 0.9711207151412964 0.00017157431284431368
    1.2.826.0.1.3680043.8.498.68717713815256791098338008355429434940 0.00037986418465152383 0.0002902699925471097 0.0004726439365185797 0.001046276418492198 0.0012357282685115933 0.0001863709621829912 0.0004856336454395205 0.00713764876127243 0.03761851787567139 0.9650602340698242 0.00018747457943391055
    1.2.826.0.1.3680043.8.498.11583502937812160265952498574480575102 0.009342174045741558 0.06959597766399384 0.5617445707321167 0.05489661172032356 0.10776539146900177 0.05302659422159195 0.24292297661304474 0.03971385210752487 0.25986242294311523 0.7517610788345337 0.00367251830175519
    1.2.826.0.1.3680043.8.498.74159804632644960957695090848550561951 0.0002543018781580031 0.0004119228688068688 0.00048344265087507665 0.00032550463220104575 0.0007228357717394829 4.6892215323168784e-05 0.0021792089100927114 0.0346030667424202 0.17611053586006165 0.8271679878234863 0.0003076475695706904
    1.2.826.0.1.3680043.8.498.31586712777230438985399357856742839802 0.0003786235465668142 0.0003360564005561173 0.0003739390813279897 0.0008140044519677758 0.0006035357946529984 0.0004639498074539006 0.0002649460802786052 0.03200547397136688 0.08612288534641266 0.8998914957046509 0.0002617790596559644
    1.2.826.0.1.3680043.8.498.11800985442859717545851121076581836172 0.004000972956418991 0.03786700963973999 0.952721893787384 0.05282355099916458 0.0828573927283287 0.1612110137939453 0.18194074928760529 0.19898149371147156 0.3280965983867645 0.6901436448097229 0.01782454177737236
    1.2.826.0.1.3680043.8.498.11649835963818567140301452176265493067 0.00026916927890852094 0.0002654259151313454 0.00032707423088140786 0.0004997099749743938 0.0006197532056830823 8.491195330861956e-05 0.00042747901170514524 0.1570274829864502 0.6937963366508484 0.27028006315231323 0.0003713044279720634
    1.2.826.0.1.3680043.8.498.12870273068537589399360141938348607694 0.0003324636782053858 0.0003255482006352395 0.00040270789759233594 0.000647609937004745 0.0005950999911874533 0.0003043604956474155 0.0006204725941643119 0.10231013596057892 0.6562901139259338 0.372772753238678 0.00047433128929696977
    1.2.826.0.1.3680043.8.498.53303963191672841930243681259486572629 0.00015539568266831338 0.00010915107850451022 8.376238838536665e-05 0.0003926565404981375 0.00013053831935394555 0.00029851417639292777 2.7921598302782513e-05 0.04144101217389107 0.2791433036327362 0.7314555048942566 0.0002567202318459749
    1.2.826.0.1.3680043.8.498.11333862052434978565039758870809578623 0.0002599985455162823 0.0005057788803242147 0.0008446706342510879 0.0006917946157045662 0.0009241214138455689 0.0005029290914535522 0.00744879525154829 0.004903344437479973 0.03555026650428772 0.9872533679008484 0.00020931253675371408
    1.2.826.0.1.3680043.8.498.13622489512085039986251950899141102681 0.00034025777131319046 0.0006729487213306129 0.00060255266726017 0.0007853975403122604 0.0014500310644507408 0.0002253931888844818 0.0040626139380037785 0.005388812627643347 0.026545995846390724 0.9896321296691895 0.0003348718455526978
    1.2.826.0.1.3680043.8.498.66267564881678810346411875448162209254 0.0001677758409641683 0.00018944076145999134 0.0005184723995625973 0.0005654399283230305 0.0003267607535235584 0.0005622193566523492 4.332303797127679e-05 0.011532769538462162 0.03192371875047684 0.9641758799552917 0.00011315463052596897
    1.2.826.0.1.3680043.8.498.42191171840116411396704738580795876560 0.019677354022860527 0.05094447731971741 0.07289151847362518 0.12318424880504608 0.10148753970861435 0.36957812309265137 0.2643616795539856 0.0363609716296196 0.22369268536567688 0.7995997071266174 0.007554963231086731
    1.2.826.0.1.3680043.8.498.65065063801323017180512167957420895682 0.0002875030040740967 0.0006564328214153647 0.0005669058300554752 0.0005374762113206089 0.0010458112228661776 5.297959432937205e-05 0.0025912888813763857 0.011335862800478935 0.1961325705051422 0.9401172399520874 0.0001982782268896699
    1.2.826.0.1.3680043.8.498.11748384612343149163103467485429133037 0.00019775881082750857 0.00017911751638166606 0.00028377200942486525 0.0004852815472986549 0.0002932753413915634 0.0003631041035987437 9.348392632091418e-05 0.033314190804958344 0.06476066261529922 0.9051728248596191 0.00013357828720472753
    1.2.826.0.1.3680043.8.498.99977535630632559189916502715845906051 0.00033647389500401914 0.00032827971153892577 0.0005079639377072453 0.0007622417761012912 0.0011648490326479077 0.00017815761384554207 0.0006110391113907099 0.011271199211478233 0.03987589478492737 0.9659018516540527 0.00016319064889103174
    1.2.826.0.1.3680043.8.498.18013098039049137765577680886030531862 0.00014549135812558234 8.247240475611761e-05 0.00011428352445363998 0.00025707200984470546 0.00027466577012091875 4.400605757837184e-05 7.840275793569162e-05 0.012416092678904533 0.08869312703609467 0.9005616307258606 9.644497185945511e-05
    1.2.826.0.1.3680043.8.498.19536188132035922111723208734905388349 0.004373093135654926 0.03931843116879463 0.965537428855896 0.03488915041089058 0.128921777009964 0.08121636509895325 0.5517330169677734 0.2311801016330719 0.2924570143222809 0.4589992165565491 0.005282358732074499
    1.2.826.0.1.3680043.8.498.56207278591654175623509849975532905993 0.0001985905400943011 0.00018312269821763039 0.0002795778273139149 0.00041348073864355683 0.0005011634202674031 7.365377678070217e-05 0.00031127798138186336 0.004603107925504446 0.01514902152121067 0.9852383732795715 6.53012830298394e-05
    1.2.826.0.1.3680043.8.498.20978215856069381564045900207631557489 0.0005308520048856735 0.006700822617858648 0.9945074915885925 0.013606494292616844 0.012832164764404297 0.5157508850097656 0.01641412265598774 0.17603367567062378 0.366887629032135 0.7272456884384155 0.07729773968458176
    1.2.826.0.1.3680043.8.498.43784626747863777436210400687871605958 0.00018022398580797017 0.00016317027620971203 0.0004251205828040838 0.0002997391566168517 0.00040353083750233054 4.665271262638271e-05 0.0006469808286055923 0.007142136339098215 0.03256135433912277 0.9807499051094055 8.704383799340576e-05
    1.2.826.0.1.3680043.8.498.41424731932724756323957693600813689836 0.0007449420518241823 0.001180846942588687 0.0018151935655623674 0.0023864235263317823 0.0031442393083125353 0.00017851578013505787 0.010041903704404831 0.008827523328363895 0.03463571518659592 0.9722101092338562 0.0002921753912232816
    1.2.826.0.1.3680043.8.498.88305132438179227452070793331007110831 0.0002987073385156691 0.0002610553929116577 0.00017552202916704118 0.0003735664358828217 0.0003426565963309258 0.00013904293882660568 0.0002108137123286724 0.07167612761259079 0.12392250448465347 0.820266842842102 0.0002602059976197779
    1.2.826.0.1.3680043.8.498.75869259368147820067199280018716342738 0.0003199566272087395 0.00024025030143093318 0.0002679176686797291 0.0006080769817344844 0.0007525753462687135 7.037498289719224e-05 0.0007654321379959583 0.015379118733108044 0.1692570447921753 0.8893285989761353 0.00026371460990048945
    1.2.826.0.1.3680043.8.498.45137959284997198489649487788967180450 0.004536089487373829 0.10471371561288834 0.9054567217826843 0.014103365130722523 0.0824720710515976 0.25674909353256226 0.5224664211273193 0.015789572149515152 0.19830310344696045 0.9633578062057495 0.007573756389319897
    1.2.826.0.1.3680043.8.498.10702592017783209452201916491132447999 0.009038691408932209 0.03451330587267876 0.021477192640304565 0.08812537044286728 0.03869478404521942 0.7527041435241699 0.05902399495244026 0.4221213459968567 0.2897188663482666 0.24667692184448242 0.01356610655784607
    1.2.826.0.1.3680043.8.498.93214621661099869814797901730720036217 0.0008925067377276719 0.0018184694927185774 0.001954631647095084 0.0012788692256435752 0.002086177933961153 0.00017263380868826061 0.026712220162153244 0.2269982397556305 0.39111435413360596 0.4923159182071686 0.0007673522923141718
    1.2.826.0.1.3680043.8.498.95558827988161630754307093414894510333 0.001223117345944047 0.001696151914075017 0.0018536020070314407 0.0026715740095824003 0.004669832997024059 0.0005612472305074334 0.0038062811363488436 0.04406172037124634 0.41417059302330017 0.5978386402130127 0.0009473062818869948
    1.2.826.0.1.3680043.8.498.10670139406477730949036787753004823825 0.0017947893356904387 0.0025344390887767076 0.0024947344791144133 0.008081836625933647 0.028091752901673317 0.011064483784139156 0.9002714157104492 0.037417832762002945 0.2783001959323883 0.5378929376602173 0.0009797997772693634
    1.2.826.0.1.3680043.8.498.57027560689102322994142363970461017690 0.00017011782620102167 0.00026746050571091473 0.0004808632074855268 0.000548957847058773 0.0001515063486294821 0.0007702511502429843 6.754625064786524e-05 0.01860654726624489 0.19472308456897736 0.8262518644332886 0.0002490217739250511
    1.2.826.0.1.3680043.8.498.64883441552867638828491844663257467237 0.0017947556916624308 0.0019400430610403419 0.0018842002609744668 0.003769427537918091 0.006716962903738022 0.0009127091616392136 0.01503531914204359 0.03551362082362175 0.22744473814964294 0.8021434545516968 0.0018462382722645998
    1.2.826.0.1.3680043.8.498.11808929341426787127039539031793018394 0.00022973064915277064 0.00014238353469409049 0.00019889973918907344 0.0006209091516211629 0.00044632781646214426 0.0001756458805175498 0.00012416523532010615 0.01892833225429058 0.015817563980817795 0.977281391620636 0.00012538195005618036
    1.2.826.0.1.3680043.8.498.71452188117792018060948144188857470488 0.011886895634233952 0.19469189643859863 0.45905619859695435 0.08175025135278702 0.02043265290558338 0.7061265707015991 0.02375916764140129 0.0281789842993021 0.1091979518532753 0.9085785150527954 0.0076141259633004665
    1.2.826.0.1.3680043.8.498.46147503355437095557484451142186574599 0.001205416745506227 0.0021587188821285963 0.007928343489766121 0.002429534448310733 0.003804496955126524 0.0027344636619091034 0.005613704677671194 0.07510121166706085 0.26715871691703796 0.6104129552841187 0.001125551643781364
    1.2.826.0.1.3680043.8.498.13034907681384178282828802485277420269 0.0006993783754296601 0.0013166321441531181 0.002695678500458598 0.0023227171041071415 0.0027520270086824894 0.0011561408173292875 0.002951163798570633 0.010536286979913712 0.01460388582199812 0.9885286092758179 0.00022366463963408023
    1.2.826.0.1.3680043.8.498.50243009802676194358617952518578437718 0.00021797011140733957 0.0001805945357773453 0.00026605819584801793 0.0004975660121999681 0.0002462913398630917 0.00040095968870446086 6.018317071720958e-05 0.23284704983234406 0.11305258423089981 0.664076030254364 0.0001976359635591507
    1.2.826.0.1.3680043.8.498.98848100868678907286300790704131267980 0.00672734621912241 0.14356286823749542 0.6123151779174805 0.005798512604087591 0.048050038516521454 0.0057254331186413765 0.8988469839096069 0.0656844899058342 0.1763521134853363 0.3492256700992584 0.000765883014537394
    1.2.826.0.1.3680043.8.498.16438991495489253730148717059793081733 0.0005888519808650017 0.00040072313277050853 0.0003932424879167229 0.0016738960985094309 0.0011856232304126024 0.0013197279768064618 0.0005699244211427867 0.06866268068552017 0.09033980220556259 0.9227781295776367 0.0006735516362823546
    1.2.826.0.1.3680043.8.498.85824523528616485168442647488281357669 0.00013311379007063806 0.00011848246504087001 0.00037755101220682263 0.0003038696013391018 0.00034014423727057874 4.8756406613392755e-05 0.0004594384226948023 0.00573780108243227 0.04723332077264786 0.9623850584030151 6.840331479907036e-05
    1.2.826.0.1.3680043.8.498.78044506132643162762895117488368291581 0.0004933992750011384 0.0012985795037820935 0.000997384311631322 0.0006187002873048186 0.0009473271784372628 0.00020009414583910257 0.003689233213663101 0.021941639482975006 0.15440379083156586 0.8554975390434265 0.0004403189814183861
    1.2.826.0.1.3680043.8.498.56607539895049688402126258219216935593 0.002273291815072298 0.009017711505293846 0.012533487752079964 0.005047347862273455 0.022222325205802917 0.07078702747821808 0.6300275921821594 0.0097707724198699 0.08751820027828217 0.9761242866516113 0.0019582214299589396
    1.2.826.0.1.3680043.8.498.72840855462433048074439501778777552133 0.00012302250252105296 0.00010990974260494113 0.00014482464757747948 0.00021559007291216403 0.00021962085156701505 0.00027153821429237723 5.3319206926971674e-05 0.023059386759996414 0.46965041756629944 0.621505618095398 0.0001544004335300997
    1.2.826.0.1.3680043.8.498.68255322949332729478689728137325615224 0.0003809345362242311 0.00039030081825330853 0.0006151431007310748 0.0007758004358038306 0.0009252902236767113 0.00021477500558830798 0.0006482566823251545 0.047756485641002655 0.6256548166275024 0.2767942547798157 0.00037054362474009395
    1.2.826.0.1.3680043.8.498.10434799013145882493084753802884750719 0.00015141902258619666 0.0004337673890404403 0.0005876753712072968 0.00020332398707978427 0.00034715147921815515 5.6429009418934584e-05 0.0008600555593147874 0.12868230044841766 0.7664029598236084 0.41866984963417053 0.00015710809384472668
    1.2.826.0.1.3680043.8.498.91390757463980639137428237515613469260 0.000608390721026808 0.0006400488200597465 0.0005088119069114327 0.0008720036712475121 0.0008525926386937499 0.0002152442029910162 0.001938059227541089 0.045056384056806564 0.12630107998847961 0.8928292393684387 0.0004998023505322635
    1.2.826.0.1.3680043.8.498.11408945471140271689395799203830379114 0.00032216552062891424 0.00034599952050484717 0.00022960717615205795 0.0006517659057863057 0.0003105901996605098 0.0010014304425567389 0.00012935596168972552 0.037257514894008636 0.2737717032432556 0.7844336628913879 0.0005228599184192717
    1.2.826.0.1.3680043.8.498.27241605893947988042852197109161875963 0.00013339461293071508 0.00010030072007793933 0.0001544452679809183 0.00038842851063236594 0.00018982436449732631 0.0002604279143270105 2.9950659154565074e-05 0.022574424743652344 0.21937739849090576 0.8041523098945618 0.0001569829910295084
    1.2.826.0.1.3680043.8.498.68384863107195565854615737212698471924 8.020996756386012e-05 3.6104571336181834e-05 6.49338326184079e-05 0.00019855044956784695 0.00016300690185744315 7.15898277121596e-05 3.50892951246351e-05 0.006670866161584854 0.07358895987272263 0.9080228805541992 0.0001678803819231689
    1.2.826.0.1.3680043.8.498.33034965660667756971441670522347152534 0.00023242036695592105 0.00033407428418286145 0.0006616970640607178 0.0007948620477691293 0.00036314985482022166 0.00188327650539577 7.611038745380938e-05 0.020729992538690567 0.03258863836526871 0.9517771601676941 0.00019819298177026212
    1.2.826.0.1.3680043.8.498.13884469111292572559493661742350614911 0.000649633293505758 0.0007701556896790862 0.0005474493955262005 0.001189368893392384 0.0013934887247160077 0.00036099422140978277 0.0009283348917961121 0.41943129897117615 0.5068739652633667 0.1397775113582611 0.000687232764903456
    1.2.826.0.1.3680043.8.498.87314404858152742227348793277251878390 0.00045947529724799097 0.0006620322237722576 0.0008364196983166039 0.0007630859618075192 0.0014595788670703769 0.00014535353693645447 0.003182891057804227 0.012778324075043201 0.03467025235295296 0.963914692401886 0.00027164429775439203
    1.2.826.0.1.3680043.8.498.76255467411628422495201794917320504249 0.0003515754942782223 0.0003843436425086111 0.0005204557674005628 0.001216322765685618 0.0006479689036495984 0.0015825877198949456 0.00019081259961239994 0.01674841344356537 0.10128612816333771 0.9088464975357056 0.00021520520385820419
    1.2.826.0.1.3680043.8.498.12758666084088623442968549198753409875 5.83370856475085e-05 7.309213106054813e-05 0.00010768757056212053 0.00023337076709140092 7.51819898141548e-05 0.000154862689669244 3.6703615478472784e-05 0.005976499058306217 0.1525430977344513 0.9108791351318359 7.505575922550634e-05
    1.2.826.0.1.3680043.8.498.12172059066737757887629718713764811258 0.00020044666598550975 0.00022147269919514656 0.000802603259216994 0.000989891355857253 0.000361768645234406 0.0008131294744089246 9.564224455971271e-05 0.007587497588247061 0.07274868339300156 0.9371630549430847 0.00016973578021861613
    1.2.826.0.1.3680043.8.498.37684026410861894021970747082991519200 0.00031583430245518684 0.00041226501343771815 0.0004304726608097553 0.0002947945613414049 0.0005547409527935088 7.495204044971615e-05 0.0006873724050819874 0.054566752165555954 0.10535278171300888 0.8284133672714233 0.00020765796944033355
    1.2.826.0.1.3680043.8.498.10861268521780051497145321695957848704 0.0002168146602343768 0.00021579631720669568 0.000235926519962959 0.0005116153042763472 0.0003409177588764578 0.0005019582458771765 9.164017683360726e-05 0.05660773068666458 0.6945964097976685 0.2714843153953552 0.00022134080063551664
    1.2.826.0.1.3680043.8.498.48065619488023197298590895261419792130 9.793996287044138e-05 6.493671389762312e-05 0.0001915964821819216 0.0002498202375136316 0.00018685052054934204 7.516234472859651e-05 4.063227243022993e-05 0.0038818917237222195 0.03620227053761482 0.9752620458602905 6.60184959997423e-05
    1.2.826.0.1.3680043.8.498.50310153637222139555879245647058655487 0.00021963418112136424 0.0002009054587688297 0.00021398071839939803 0.00020599733397830278 0.0003470811643637717 2.9571179766207933e-05 0.0005819428479298949 0.04616839066147804 0.2550625205039978 0.7226154804229736 0.00015789207827765495
    1.2.826.0.1.3680043.8.498.13059711041395715295041578186242393032 0.00047451056889258325 0.0013723702868446708 0.0017188407946377993 0.0005297049647197127 0.000920287158805877 0.00014265518984757364 0.0037182229571044445 0.17966485023498535 0.4380350708961487 0.5356279611587524 0.00036800396628677845
    1.2.826.0.1.3680043.8.498.35058110563738521168684108100323203891 0.0007782747270539403 0.0011340600904077291 0.0012558323796838522 0.0014871432213112712 0.0014474026393145323 0.0026826492976397276 0.0010216237278655171 0.03471856564283371 0.27550166845321655 0.7331667542457581 0.0005682297050952911
    1.2.826.0.1.3680043.8.498.11889807350554036459447115922220699190 0.0003848275518976152 0.0004817601293325424 0.00046227648272179067 0.00041900909855030477 0.0006091614486649632 0.00015170095139183104 0.0015209291595965624 0.09534343332052231 0.3862869143486023 0.6018575429916382 0.00033513715607114136
    1.2.826.0.1.3680043.8.498.39435844876250722224943803709752133283 0.00015223937225528061 0.00015485304174944758 0.0002106167667079717 0.0002862063411157578 0.00020067088189534843 0.00017224917246494442 7.123799878172576e-05 0.035902973264455795 0.22142577171325684 0.8136392831802368 0.00017360475612804294
    1.2.826.0.1.3680043.8.498.91790249821505284807055162117299663176 9.523539483780041e-05 8.61249427543953e-05 0.0001246969768544659 0.00019214976055081934 0.00018757667567115277 4.112440365133807e-05 0.00010885220399359241 0.010521119460463524 0.0795542523264885 0.9378321766853333 6.550077523570508e-05
    1.2.826.0.1.3680043.8.498.12971698944430256471089508625657495943 0.0014249536907300353 0.001162475673481822 0.0012765818974003196 0.00749245285987854 0.0029666435439139605 0.0035111382603645325 0.0009841430000960827 0.776551365852356 0.15231584012508392 0.18731087446212769 0.002436429727822542
    1.2.826.0.1.3680043.8.498.68619573495644120968937183096959573502 0.00033505557803437114 0.00022372786770574749 0.00037360659916885197 0.000661443336866796 0.001058105961419642 8.539856935385615e-05 0.0002663591003511101 0.03759550303220749 0.2942274510860443 0.6760724782943726 0.00027588463854044676
    1.2.826.0.1.3680043.8.498.11965709818364030966627411546874014198 0.0003893477260135114 0.0006177193718031049 0.00045981499715708196 0.0003307112492620945 0.0006009149365127087 8.944771980168298e-05 0.003793817711994052 0.040916383266448975 0.24595323204994202 0.8045730590820312 0.0002464296412654221
    1.2.826.0.1.3680043.8.498.76432186382157224021729321674025137054 0.008721081539988518 0.14716315269470215 0.7759238481521606 0.018932044506072998 0.04784337431192398 0.4973753094673157 0.3814714550971985 0.055299557745456696 0.3328414857387543 0.43170446157455444 0.002640203107148409
    1.2.826.0.1.3680043.8.498.70037808754670366128712743845815553563 0.00015422329306602478 7.902225479483604e-05 0.0001371422258671373 0.0002784854732453823 0.0003603773657232523 3.917025969712995e-05 7.39235692890361e-05 0.008686872199177742 0.03639120236039162 0.9579215049743652 7.599974924232811e-05
    1.2.826.0.1.3680043.8.498.11366611838842729470939506939482518256 9.059386502485722e-05 5.521057755686343e-05 0.00010753411334007978 0.0003771768242586404 0.00014966921298764646 0.00015100950258783996 2.1818592358613387e-05 0.0041974615305662155 0.037636272609233856 0.9468265771865845 7.332918175961822e-05
    1.2.826.0.1.3680043.8.498.13395388234626664943329396522728094520 0.0009662352385930717 0.0008276134612970054 0.0011402845848351717 0.0027456956449896097 0.00484414491802454 0.0005572063382714987 0.0021354411728680134 0.015848081558942795 0.2519277036190033 0.7843066453933716 0.0010214276844635606
    1.2.826.0.1.3680043.8.498.99055468899215245281452077063730223100 0.00013651968038175255 0.00012568800593726337 0.00013915089948568493 0.000416522438172251 0.00019003356283064932 0.000230694844503887 3.730411845026538e-05 0.03579624742269516 0.03621024638414383 0.9514862298965454 9.920863521983847e-05
    1.2.826.0.1.3680043.8.498.82291743551667561496839381690022874382 0.0002026363945333287 0.00012106976646464318 0.0002043013519141823 0.0004093634488526732 0.0004827895318157971 0.00010110362200066447 0.00014462760009337217 0.015259362757205963 0.28053921461105347 0.7892087697982788 0.00019505355157889426
    1.2.826.0.1.3680043.8.498.51760110292571674225756966258987971131 0.001034078886732459 0.0032583586871623993 0.010522213764488697 0.003703597467392683 0.004158596508204937 0.038144391030073166 0.004079154226928949 0.5075081586837769 0.3991982638835907 0.6648701429367065 0.0030842949636280537
    1.2.826.0.1.3680043.8.498.91816632410515566980355121051327409777 0.0002412023750366643 0.00018714924226514995 0.00020040912204422057 0.00044148610322736204 0.00048252777196466923 0.00016615138156339526 0.0001545628038002178 0.015265710651874542 0.35583871603012085 0.7042808532714844 0.0002211654355050996
    1.2.826.0.1.3680043.8.498.12834315315779691421165300846187798885 0.0010405759094282985 0.0013244629371911287 0.0014166701585054398 0.0018161500338464975 0.0033779307268559933 0.0008562151342630386 0.003836036426946521 0.01324252225458622 0.18160268664360046 0.846210777759552 0.00045073669753037393
    1.2.826.0.1.3680043.8.498.10281880870221505726943587827007829631 0.0001129654556280002 0.00013085822865832597 0.0001612131018191576 0.00017415139882359654 0.00018836934759747237 0.00014054417260922492 0.00016490733833052218 0.013568851165473461 0.1695529818534851 0.8999123573303223 9.307494474342093e-05
    1.2.826.0.1.3680043.8.498.11643987356228475567691136681868417913 0.00016367595526389778 0.00011682538024615496 0.00017857083003036678 0.00026378268375992775 0.00029674306279048324 7.898970216047019e-05 0.00013567708083428442 0.01621221750974655 0.18032224476337433 0.8357810974121094 0.00014392114826478064
    1.2.826.0.1.3680043.8.498.18936863508440312610304236362770466726 0.000594401964917779 0.0005436008796095848 0.0005417655920609832 0.0008624717593193054 0.0014294679276645184 0.00021325531997717917 0.0009169755503535271 0.1354040801525116 0.33609503507614136 0.47273606061935425 0.0006029998767189682
    1.2.826.0.1.3680043.8.498.12998134620479279409355020387454674051 0.00038713274989277124 0.0002880259125959128 0.000362518330803141 0.0007441887864843011 0.0010899354238063097 5.625030098599382e-05 0.0006073793629184365 0.03308388218283653 0.15303269028663635 0.8829957842826843 0.00026776158483698964
    1.2.826.0.1.3680043.8.498.39115370642810798162456077522633337587 0.0003345357836224139 0.0005480354302562773 0.0013304883614182472 0.0008654245175421238 0.0014226133935153484 0.00018086956697516143 0.0025651841424405575 0.008556132204830647 0.031016111373901367 0.961775004863739 0.0001172582051367499
    1.2.826.0.1.3680043.8.498.87473906366345141263619907726347291313 0.0009746638243086636 0.0011685939971357584 0.0010410487884655595 0.0016911437269300222 0.0021697874180972576 0.00018414499936625361 0.003185700625181198 0.27897578477859497 0.44878411293029785 0.32378101348876953 0.0010307166958227754
    1.2.826.0.1.3680043.8.498.66902739605124097994870491451395249060 0.0009988913079723716 0.001449818373657763 0.0023364219814538956 0.0028762987349182367 0.0021208631806075573 0.00958634726703167 0.0019200273090973496 0.09207761287689209 0.20314326882362366 0.8289853930473328 0.0016339011490345001
    1.2.826.0.1.3680043.8.498.12279288671075662445807271099275610860 0.00025276487576775253 0.0001557692448841408 0.0001876110618468374 0.0003764637222047895 0.0005031282198615372 7.993170584086329e-05 0.00017749069957062602 0.026216337457299232 0.3687465488910675 0.6279308199882507 0.00023119032266549766
    1.2.826.0.1.3680043.8.498.12325259158946608684845138612486133297 0.002270688768476248 0.036405809223651886 0.7962847948074341 0.016055768355727196 0.07533644139766693 0.019031966105103493 0.22488200664520264 0.01138169877231121 0.07144856452941895 0.9385501742362976 0.0005346126854419708
    1.2.826.0.1.3680043.8.498.75040000551315100935572395678746533314 0.00022872062982060015 0.00012412275827955455 0.00027391125331632793 0.0006918724393472075 0.000729649793356657 0.00017385899263899773 0.0001623582502361387 0.013828868977725506 0.014537060633301735 0.9827553033828735 0.001745011075399816
    1.2.826.0.1.3680043.8.498.46727065254688460127017182948877312236 0.0002052889030892402 0.0001253338559763506 0.00011569205526029691 0.00029781716875731945 0.00041502463864162564 2.2397845896193758e-05 0.00024486385518684983 0.042698316276073456 0.236875981092453 0.7774222493171692 0.0001632022176636383
    1.2.826.0.1.3680043.8.498.25379080469375568692579130068447316009 0.0006751780165359378 0.0008162683807313442 0.0013983756070956588 0.0024730931036174297 0.0010627501178532839 0.002599330386146903 0.0004201812553219497 0.01660662330687046 0.053362488746643066 0.9497581720352173 0.00045475634397007525
    1.2.826.0.1.3680043.8.498.10282852996865614554873011253719129097 0.00040921932668425143 0.00048286383389495313 0.0006880549481138587 0.0007559348014183342 0.000858431332744658 0.00010557260975474492 0.0006818916881456971 0.0391039177775383 0.40398192405700684 0.7541641592979431 0.0003525488427840173
    1.2.826.0.1.3680043.8.498.57993232859483926613889415917110796414 0.0003811179776675999 0.00032018538331612945 0.000618225778453052 0.001727801514789462 0.0017341251950711012 0.00011674784764181823 0.0004890280542895198 0.040526650846004486 0.11829425394535065 0.788083553314209 0.00032524624839425087
    1.2.826.0.1.3680043.8.498.11224855585801585561732316460877271312 0.00036516657564789057 0.00046224542893469334 0.0010542139643803239 0.000701180542819202 0.000292617769446224 0.0022704401053488255 0.00016855058493092656 0.1850319355726242 0.3109310269355774 0.39979615807533264 0.00047658110270276666
    1.2.826.0.1.3680043.8.498.30491475342102365297216546382040083422 0.00011081041157012805 9.555595170240849e-05 0.00010981695959344506 0.000197704037418589 0.0001879512274172157 4.645584340323694e-05 0.00011565377644728869 0.006644032895565033 0.11417615413665771 0.9511121511459351 7.50499457353726e-05
    1.2.826.0.1.3680043.8.498.55325212956763138871339045244288743546 0.05605185776948929 0.3875192105770111 0.30307942628860474 0.03114827536046505 0.10000451654195786 0.014893194660544395 0.7804414629936218 0.13966575264930725 0.2101837694644928 0.41592997312545776 0.00844001118093729
    1.2.826.0.1.3680043.8.498.37068744482949919820272557342655958904 0.0013780426234006882 0.02919747494161129 0.9615045785903931 0.0747784823179245 0.017045671120285988 0.6346986889839172 0.009054357185959816 0.033578842878341675 0.13860240578651428 0.8333472013473511 0.0017340509220957756
    1.2.826.0.1.3680043.8.498.67671614070467026062580477749103648301 0.0002694576105568558 0.00016876804875209928 0.0004861392662860453 0.0006206150283105671 0.0007426863885484636 0.00022056038142181933 0.00023459810472559184 0.011517082341015339 0.018703829497098923 0.981418251991272 0.00011048710439354181
    1.2.826.0.1.3680043.8.498.50899232574023385094565418907407953335 0.034240879118442535 0.48587068915367126 0.39506426453590393 0.052865784615278244 0.03524026274681091 0.4664533734321594 0.2122844010591507 0.0303520318120718 0.34406086802482605 0.6081539988517761 0.007597711868584156
    1.2.826.0.1.3680043.8.498.12427608895845241930875435181182422324 0.003786645829677582 0.07113905251026154 0.6812235713005066 0.022647717967629433 0.028573285788297653 0.2297307550907135 0.05955725908279419 0.03613865375518799 0.4018011689186096 0.7752379179000854 0.0010203529382124543
    1.2.826.0.1.3680043.8.498.45884959118467578255879567790783150555 0.0003152118588332087 0.00023480434902012348 0.0003445753245614469 0.0005324963130988181 0.0005737837636843324 9.326456347480416e-05 0.00033021351555362344 0.03202705830335617 0.08543138206005096 0.9118946194648743 0.00020630603830795735
    1.2.826.0.1.3680043.8.498.88190785782747928400601157286111297684 0.00029718567384406924 0.00017894539632834494 0.00015896701370365918 0.00042872814810834825 0.0005637835711240768 4.454025474842638e-05 0.0002717125753406435 0.05094057321548462 0.24722754955291748 0.652644157409668 0.0002572100202087313
    1.2.826.0.1.3680043.8.498.39358270413040665004240477208362987448 0.00057324452791363 0.0006614689482375979 0.0006610698765143752 0.0008505905279889703 0.0013514257734641433 0.0001200959668494761 0.001000813557766378 0.01987626403570175 0.1635703146457672 0.8583989143371582 0.00037533530849032104
    1.2.826.0.1.3680043.8.498.11674272482163425767246591146674402445 0.0002802928793244064 0.00015624859952367842 0.00016109136049635708 0.0004176433722022921 0.0004234359657857567 6.988777022343129e-05 0.00014741449558641762 0.18064738810062408 0.31412220001220703 0.35933589935302734 0.00027009096811525524
    1.2.826.0.1.3680043.8.498.77644070924022776854625044779243326804 0.00011364508827682585 6.616888276766986e-05 0.00012388559116516262 0.0002865063142962754 0.0002223746123490855 0.00011929751053685322 5.294442598824389e-05 0.010756438598036766 0.11104130744934082 0.8809391260147095 0.0001157460137619637
    1.2.826.0.1.3680043.8.498.12435047635124574933405530631966447649 0.002533256309106946 0.007220561150461435 0.003631753847002983 0.00475151976570487 0.021195584908127785 0.008379404433071613 0.9715792536735535 0.027130236849188805 0.16054663062095642 0.8787108659744263 0.0012030965881422162
    1.2.826.0.1.3680043.8.498.83217109985090169657285292261147176734 0.012781435623764992 0.037374574691057205 0.06780816614627838 0.02333441935479641 0.03575686737895012 0.01598014310002327 0.04775161296129227 0.0604027584195137 0.09596316516399384 0.8691986203193665 0.0048208595253527164
    1.2.826.0.1.3680043.8.498.65972948017791293014145200399883723257 0.00013916403986513615 0.00011359519703546539 0.00020577848772518337 0.00034025206696242094 0.0004931039293296635 2.3277742002392188e-05 0.00037600923678837717 0.002603319939225912 0.021792013198137283 0.983113169670105 6.46783591946587e-05
    1.2.826.0.1.3680043.8.498.10375154771698886139355571248697934810 0.00026326539227738976 0.00029391463613137603 0.00022437093139160424 0.0003084074123762548 0.000557781953830272 5.9163452533539385e-05 0.00042347615817561746 0.18710719048976898 0.27024614810943604 0.6906186938285828 0.00021233907318674028
    1.2.826.0.1.3680043.8.498.53699363630076337059146650859504429990 0.00010381937318015844 9.409899212187156e-05 0.0001225701707880944 0.0002099008997902274 0.00022986666590441018 7.466185343218967e-05 0.00011194958642590791 0.0033909722696989775 0.05686808377504349 0.9632855653762817 7.075160829117522e-05
    1.2.826.0.1.3680043.8.498.50835606196315037839977071335950338870 0.00029417723999358714 0.00023530461476184428 0.00018192565767094493 0.00038812513230368495 0.0004422679194249213 6.18145932094194e-05 0.00031786487670615315 0.033745020627975464 0.10626312345266342 0.8862881660461426 0.00021944611216895282
    1.2.826.0.1.3680043.8.498.46515458820639956757602868556097628057 0.0003628206322900951 0.00042033972567878664 0.0005384887917898595 0.0004413327551446855 0.0006376694655045867 0.0002988199994433671 0.0040131378918886185 0.012112589552998543 0.39742884039878845 0.6551422476768494 0.0002776322071440518
    1.2.826.0.1.3680043.8.498.82293812748607781342883394671216084342 0.001055373577401042 0.0008059729007072747 0.0008822000818327069 0.0052775051444768906 0.0033115227706730366 0.007704498711973429 0.0017108321189880371 0.8925901651382446 0.0973624661564827 0.07476237416267395 0.0006647376576438546
    1.2.826.0.1.3680043.8.498.39697162963359513314697709864673474629 0.00038528055301867425 0.0003402571310289204 0.00027850561309605837 0.000556177634280175 0.0006024395697750151 8.195794362109154e-05 0.00022351248480845243 0.18296553194522858 0.20831172168254852 0.6515177488327026 0.00032486257259733975
    1.2.826.0.1.3680043.8.498.70291074876093031225807597008446650107 0.0005934497457928956 0.0006621904904022813 0.0005875847418792546 0.0009208250558003783 0.0010128319263458252 0.0002575627586338669 0.0014446384739130735 0.029503334313631058 0.446693480014801 0.5527247190475464 0.0005515177035704255
    1.2.826.0.1.3680043.8.498.97067973352017484150094952848731588730 6.548834790010005e-05 0.00013885265798307955 0.0005963470903225243 0.000630960043054074 6.80591692798771e-05 0.0015888517955318093 8.705932486918755e-06 0.01719331182539463 0.024066362529993057 0.9814780950546265 0.00013093384040985256
    1.2.826.0.1.3680043.8.498.31171873048712787554837506395219984466 0.005578497424721718 0.009244376793503761 0.018872922286391258 0.05056126043200493 0.150070920586586 0.38229870796203613 0.365644633769989 0.011768016964197159 0.1057928055524826 0.9525873064994812 0.001924753887578845
    1.2.826.0.1.3680043.8.498.38714385601704416495211261645867120887 0.00014809628191869706 0.000183951182407327 0.00039022942655719817 0.0007471247809007764 0.0002091739297611639 0.000980581622570753 5.0187623855890706e-05 0.011342208832502365 0.050015032291412354 0.9696635007858276 0.00012174712173873559
    1.2.826.0.1.3680043.8.498.56576535129643895338950131304562366640 0.0003895056142937392 0.0002597793354652822 0.0003332171181682497 0.0006508083897642791 0.0007769325748085976 0.00021570439275819808 0.0002965171297546476 0.015009278431534767 0.16856837272644043 0.804400622844696 0.0002951148780994117
    1.2.826.0.1.3680043.8.498.26985232562209932774422591304990735823 0.00014652239042334259 0.00010891167767113075 0.0001314702385570854 0.00027793695335276425 0.00023086935107130557 0.00011314042058074847 4.908766277367249e-05 0.016110064461827278 0.0545111782848835 0.9428234100341797 9.412713552592322e-05
    1.2.826.0.1.3680043.8.498.52548277853268592275517298755284913323 0.0005231545073911548 0.00048028118908405304 0.0005242241313681006 0.0011278033489361405 0.001684002229012549 0.00013540346117224544 0.001038309303112328 0.005666216369718313 0.05956035852432251 0.9368168711662292 0.0003078468143939972
    1.2.826.0.1.3680043.8.498.10985442931678468911000332453600784469 0.0005105683812871575 0.0004998279619030654 0.000900108483619988 0.0011550986673682928 0.00044425102532841265 0.0020073484629392624 9.141550253843889e-05 0.04639008268713951 0.15237325429916382 0.8494173288345337 0.00035800872137770057
    1.2.826.0.1.3680043.8.498.17273446880453848100308485906832318280 0.0001574699126649648 0.0003144379588775337 0.0004218656104058027 0.00015183203504420817 0.00028112041763961315 3.250345616834238e-05 0.007838835939764977 0.13431288301944733 0.358944833278656 0.5269813537597656 0.0005519884871318936
    1.2.826.0.1.3680043.8.498.48348142702093118475951525650691704157 0.000812625337857753 0.0024929584469646215 0.002482817741110921 0.0012910098303109407 0.0034610354341566563 0.00018309522420167923 0.03212135285139084 0.011427471414208412 0.04487225040793419 0.9654377698898315 0.0003842052537947893
    1.2.826.0.1.3680043.8.498.26309222915325228670551165607534414522 0.0010974770411849022 0.061533767729997635 0.9425705075263977 0.027067458257079124 0.00856812298297882 0.914810061454773 0.021158535033464432 0.011894309893250465 0.06831584125757217 0.9857282638549805 0.0009005186147987843
    1.2.826.0.1.3680043.8.498.16659668303016724158515138934228388099 0.00021300476510077715 0.00016913584840949625 0.00018511564121581614 0.0003263563849031925 0.0003447593189775944 5.677796434611082e-05 0.00018022285075858235 0.017212066799402237 0.08613088726997375 0.9264196157455444 0.00011752727732528001
    1.2.826.0.1.3680043.8.498.20749731020642017915833625622436889327 0.0006250533042475581 0.000548352487385273 0.0006575448787771165 0.0012576787266880274 0.0026105681899935007 0.0003624248201958835 0.0015734706539660692 0.013432973995804787 0.07995264232158661 0.9255431890487671 0.00027427158784121275
    1.2.826.0.1.3680043.8.498.12580063534969452684366777944858888572 0.00027096812846139073 0.00033711123978719115 0.0003721682878676802 0.0004749163053929806 0.0002872909826692194 0.0007485618116334081 0.0001118315412895754 0.02345176413655281 0.30160656571388245 0.7579023241996765 0.0002562651061452925
    1.2.826.0.1.3680043.8.498.30457636127306761544769048208757359060 0.00042531656799837947 0.000612064206507057 0.0005600358126685023 0.0006802259595133364 0.0008458251249976456 0.0001959307846846059 0.0005529251648113132 0.20038409531116486 0.6309409737586975 0.15442517399787903 0.000339299876941368
    1.2.826.0.1.3680043.8.498.57969099130083272905911303330966318568 0.0003218850470148027 0.0007111929589882493 0.0006095574935898185 0.0013273019576445222 0.0002474184730090201 0.005279081407934427 5.785027678939514e-05 0.12646695971488953 0.5327926278114319 0.47273707389831543 0.000570226286072284
    1.2.826.0.1.3680043.8.498.15216898212133696792797733412085044462 0.00015507092757616192 0.00011021526006516069 0.000397103518480435 0.0005251328693702817 0.000414947367971763 0.0001288096245843917 0.00015110717504285276 0.009691959246993065 0.016414450481534004 0.9803682565689087 8.572210936108604e-05
    1.2.826.0.1.3680043.8.498.98461425773543281472243004242848243292 0.0006999268080107868 0.0012398039689287543 0.0021064102184027433 0.0018085952615365386 0.002752099186182022 0.0015140542527660728 0.002584476489573717 0.13824968039989471 0.3017299771308899 0.5606974363327026 0.0015733701875433326
    1.2.826.0.1.3680043.8.498.95030799577805009659727434087254129930 0.00035477435449138284 0.00028621999081224203 0.0004394343704916537 0.0008097188547253609 0.0009100603056140244 0.0002104009035974741 0.0003269762091804296 0.17853394150733948 0.6289066076278687 0.18752597272396088 0.0003691369784064591
    1.2.826.0.1.3680043.8.498.11811714483710965296281843521749543136 0.0004764283075928688 0.0003619103808887303 0.000334876065608114 0.0007412277045659721 0.0008910225005820394 0.00011530095071066171 0.0011557342950254679 0.08657760918140411 0.2505539655685425 0.6428772211074829 0.0005331194843165576
    1.2.826.0.1.3680043.8.498.68796351425193267328272590478312120279 0.00038491981104016304 0.00029579218244180083 0.0002709359978325665 0.0006372862262651324 0.0008255015127360821 5.7830278819892555e-05 0.0005057103116996586 0.02598782256245613 0.06886801868677139 0.8987659215927124 0.0001869514089776203
    1.2.826.0.1.3680043.8.498.84842690022894851112461790713915999743 0.0006670290022157133 0.0004732631496153772 0.00039856796502135694 0.0010317149572074413 0.00068236596416682 0.0002568160416558385 0.000326705165207386 0.14100074768066406 0.24318309128284454 0.6047970056533813 0.0005564646562561393
    1.2.826.0.1.3680043.8.498.10999450334989621338473592947258835594 0.0003869682550430298 0.0004289935459382832 0.00031148671405389905 0.0004393000272102654 0.0006454656831920147 7.180160901043564e-05 0.0015061980811879039 0.07946772873401642 0.4070001542568207 0.537129282951355 0.000317169091431424
    1.2.826.0.1.3680043.8.498.28005408446147283530222938584236142630 0.0007387438090518117 0.0007780405576340854 0.0005585618782788515 0.002045009285211563 0.0006473591201938689 0.003213746938854456 0.0002484498545527458 0.5271075367927551 0.4330918788909912 0.21354492008686066 0.002025892725214362
    1.2.826.0.1.3680043.8.498.18602765159689267043334801278701043727 0.00034794118255376816 0.0008177923155017197 0.0012809868203476071 0.0005515461671166122 0.0011377445189282298 0.0002152568631572649 0.02092304639518261 0.012618111446499825 0.03084772825241089 0.9823701977729797 0.00025743868900462985
    1.2.826.0.1.3680043.8.498.86735878492454297241288417702756081829 0.000523196067661047 0.00039096479304134846 0.0004573810729198158 0.0015679884236305952 0.0017706758808344603 0.0004013665020465851 0.0008669582311995327 0.02331095188856125 0.07459474354982376 0.8964217305183411 0.0004497829359024763
    1.2.826.0.1.3680043.8.498.32689913031429495918258086216349235479 0.002344524022191763 0.0556286983191967 0.9405437707901001 0.04157904163002968 0.0349588468670845 0.8312657475471497 0.045109283179044724 0.030204763635993004 0.13892655074596405 0.9021235704421997 0.0023619388230144978
    1.2.826.0.1.3680043.8.498.38630754741627039556749279744935248285 0.0009267021669074893 0.0007482375949621201 0.0008267833618447185 0.00179998145904392 0.0018398575484752655 0.0004031505377497524 0.0007645367877557874 0.09666202962398529 0.3805801272392273 0.5346336364746094 0.0007599219679832458
    1.2.826.0.1.3680043.8.498.78509479759417019801656891165855736122 0.00027185308863408864 0.0003575270529836416 0.0003631175495684147 0.0003341513220220804 0.0005259726895019412 4.8723093641456217e-05 0.000779256341047585 0.036284513771533966 0.2324487864971161 0.829495906829834 0.00018830836052075028
    1.2.826.0.1.3680043.8.498.13325412283786459551319691826099007543 0.0002412610047031194 0.00023422049707733095 0.0002450114698149264 0.0004480048955883831 0.00045345808030106127 6.699580990243703e-05 0.00028192545869387686 0.051499705761671066 0.6009317636489868 0.398032009601593 0.0001997043436858803
    1.2.826.0.1.3680043.8.498.90564236091761097510777538808161687548 0.0001757958671078086 0.00017696211580187082 0.00021920313884038478 0.00047324300976470113 0.00030823942506685853 0.00033441666164435446 0.00010449638648424298 0.009005091153085232 0.01982499659061432 0.9811102151870728 9.331607725471258e-05
    1.2.826.0.1.3680043.8.498.33505326762396085056733136391745406754 0.0008320853812620044 0.0009080141899175942 0.00089383649174124 0.0014242454199120402 0.0019908235408365726 0.00023814837913960218 0.0014047815930098295 0.12337920814752579 0.5454521179199219 0.4009031653404236 0.0007650210172869265
    1.2.826.0.1.3680043.8.498.96797891352888007915844582205748358017 0.0009958143346011639 0.0015424812445417047 0.002200918737798929 0.002314084442332387 0.0035318024456501007 0.0038085984997451305 0.008703821338713169 0.033954016864299774 0.05393484979867935 0.9482585191726685 0.0004940308281220496
    1.2.826.0.1.3680043.8.498.46693934002862314112432700742403888288 0.005001191049814224 0.2086978405714035 0.41604676842689514 0.0012153213610872626 0.012973194010555744 0.00044657342368736863 0.9910996556282043 0.07541359961032867 0.300473153591156 0.8126386404037476 0.0016896389424800873
    1.2.826.0.1.3680043.8.498.11146788323194053829471930802310903125 0.0007344644400291145 0.0012122370535507798 0.003943937830626965 0.0019094489980489016 0.0010698300320655107 0.003752119140699506 0.0004928176640532911 0.07915236055850983 0.15795883536338806 0.7248197197914124 0.0008977769175544381
    1.2.826.0.1.3680043.8.498.12331506725759891501369187468594155416 0.0001230645430041477 0.00015271616575773805 0.0001936397165991366 0.00014766742242500186 0.00027533358661457896 1.5727597201475874e-05 0.0007559509249404073 0.01749136857688427 0.03643857687711716 0.9638187289237976 6.898801075294614e-05
    1.2.826.0.1.3680043.8.498.11288453287609950753215976727190599528 0.0003492115647532046 0.0006658965721726418 0.002668776549398899 0.0012912014499306679 0.0010609764140099287 0.004041226115077734 0.0013349284417927265 0.04222240671515465 0.16159449517726898 0.8955450057983398 0.00042284419760107994
    1.2.826.0.1.3680043.8.498.11772961219271011125725260246432453336 0.00014250667300075293 0.00016440614126622677 0.0002750142593868077 0.0002516508102416992 0.00020718089945148677 0.00028602220118045807 7.878391625126824e-05 0.0447416827082634 0.01727423444390297 0.9737079739570618 8.27615222078748e-05
    1.2.826.0.1.3680043.8.498.13093403771273609228790385174784051164 7.306593033717945e-05 5.5630858696531504e-05 0.00010627994925016537 0.00015723324031569064 8.865584823070094e-05 7.673299114685506e-05 2.907339876401238e-05 0.0041534630581736565 0.03327462822198868 0.964713454246521 5.516135206562467e-05
    1.2.826.0.1.3680043.8.498.30611871381412730179762995065342953463 0.0004611428012140095 0.00047924896352924407 0.00029684114269912243 0.0005693000857718289 0.0007777022547088563 6.829744233982638e-05 0.0011090885382145643 0.22620955109596252 0.22172796726226807 0.6061123609542847 0.00042900542030110955
    1.2.826.0.1.3680043.8.498.42637287071649620481090471897809406870 0.00013291745563037694 8.044318383326754e-05 7.056415779516101e-05 0.00028447533259168267 0.0001673084043432027 6.509666854981333e-05 6.753079651389271e-05 0.012213436886668205 0.0556013286113739 0.9544742703437805 0.00010781455785036087
    1.2.826.0.1.3680043.8.498.12496322237478047662329846337960984871 0.011490235105156898 0.2256001979112625 0.5283430218696594 0.01565517485141754 0.01862667128443718 0.7441012859344482 0.12636157870292664 0.09615040570497513 0.334502249956131 0.9129818081855774 0.696071445941925
    1.2.826.0.1.3680043.8.498.29023076048576349274517504776217885916 0.0009836831595748663 0.0010643544374033809 0.0016645838040858507 0.004206443205475807 0.004500959534198046 0.0033870632760226727 0.0024886552710086107 0.032082684338092804 0.2326612025499344 0.7288815975189209 0.0006624144734814763
    1.2.826.0.1.3680043.8.498.98811899508241058937335203069987250465 0.0005432158359326422 0.0003812409413512796 0.00029584308504126966 0.0006151637644506991 0.0008998958510346711 0.0002157683775294572 0.0003071315004490316 0.5611475706100464 0.3255389332771301 0.19486796855926514 0.0006346387672238052
    1.2.826.0.1.3680043.8.498.35750973737421535423717120857101210289 0.0003279821830801666 0.0003038224240299314 0.0005120313144288957 0.0005028469604440033 0.0007906785467639565 6.515484710689634e-05 0.0011756542371585965 0.09258963167667389 0.06596460938453674 0.895706832408905 0.0003122533089481294
    1.2.826.0.1.3680043.8.498.51146219867771355190856169725880872311 0.0006494935951195657 0.0006481343298219144 0.0013761946465820074 0.003246928798034787 0.004277287982404232 0.0036671929992735386 0.003217046381905675 0.009492133744060993 0.012856349349021912 0.9882397651672363 0.00022972137958277017
    1.2.826.0.1.3680043.8.498.10627823358702570907635031442370291101 0.002152003813534975 0.007120031863451004 0.006478915922343731 0.002844268921762705 0.020064787939190865 0.0017799449851736426 0.8558739423751831 0.018638763576745987 0.0634484738111496 0.9601009488105774 0.0014728727983310819
    1.2.826.0.1.3680043.8.498.43310526498105439907701316085700574699 0.0007829442620277405 0.0017525566508993506 0.04346343129873276 0.0029289782978594303 0.001429937081411481 0.007601396180689335 0.0005124625749886036 0.3460703492164612 0.49368515610694885 0.33162346482276917 0.0015603285282850266
    1.2.826.0.1.3680043.8.498.12123205252589379204647466063212534620 0.00036659702891483903 0.000560849322937429 0.0007026359671726823 0.0005568266496993601 0.001091761514544487 6.154140282887965e-05 0.0015068406937643886 0.008414799347519875 0.1428971290588379 0.9163996577262878 0.00020822169608436525
    1.2.826.0.1.3680043.8.498.10694197062577122860696108643230832735 0.0006015182007104158 0.006510705687105656 0.9840493202209473 0.026984820142388344 0.014301879331469536 0.4233686923980713 0.007940004579722881 0.04752553999423981 0.11322583258152008 0.8115062713623047 0.0006498813745565712
    1.2.826.0.1.3680043.8.498.32772760407649174809157475640028936538 0.025559235364198685 0.14963282644748688 0.2637858986854553 0.05796878784894943 0.09433208405971527 0.011766797862946987 0.5215229988098145 0.1442917287349701 0.27001169323921204 0.3126189708709717 0.006155065260827541
    1.2.826.0.1.3680043.8.498.35143507097581978700084486300499177872 0.0009827930480241776 0.0024292771704494953 0.007127851247787476 0.004617603961378336 0.0010318462736904621 0.024919921532273293 0.0006028704810887575 0.0886002853512764 0.36052048206329346 0.6801396608352661 0.0016252662753686309
    1.2.826.0.1.3680043.8.498.49871197947081279266085160541343477019 0.00022128286946099252 0.0001724500034470111 0.0002485361765138805 0.00043666898272931576 0.00039851907058618963 0.000141655866173096 0.00013726211909670383 0.013481738977134228 0.19344469904899597 0.8403881192207336 0.00018927436030935496
    1.2.826.0.1.3680043.8.498.77461502623035335247219087397266630044 0.00016932170547079295 0.00014185304462444037 0.0003418686392251402 0.00037217457429505885 0.00037364737363532186 0.00017479175585322082 0.0001365992211503908 0.014463027007877827 0.07098828256130219 0.9402974247932434 0.0001149957679444924
    1.2.826.0.1.3680043.8.498.12037973961958423959506080935446901342 0.019398674368858337 0.23690596222877502 0.6203988790512085 0.03283723071217537 0.04977499693632126 0.03666026517748833 0.2700444161891937 0.26028305292129517 0.5704387426376343 0.26776838302612305 0.0017703676130622625
    1.2.826.0.1.3680043.8.498.85796635693440534138581716332967440564 0.00010266549361404032 0.00013245167792774737 0.0003148909308947623 0.00023827818222343922 9.712322935229167e-05 0.0015696767950430512 2.556202161940746e-05 0.009295744821429253 0.08077321201562881 0.9206412434577942 9.987155499402434e-05
    1.2.826.0.1.3680043.8.498.51292325423579215080342704342353862751 0.007301471196115017 0.05029413849115372 0.11638619750738144 0.015360561199486256 0.03555598482489586 0.0018894907552748919 0.43939176201820374 0.02773217298090458 0.08998271077871323 0.8929014205932617 0.002541754860430956
    1.2.826.0.1.3680043.8.498.10817278819797776948534147626126646289 0.0009646402904763818 0.0012937594437971711 0.001648841192945838 0.0022399304434657097 0.003419293090701103 0.0011116378009319305 0.0016506228130310774 0.018369056284427643 0.3107493817806244 0.6993977427482605 0.0005980494315735996
    1.2.826.0.1.3680043.8.498.15987114009100008528875866416249980728 0.0054880306124687195 0.1014082208275795 0.8222963213920593 0.11876612901687622 0.04451353847980499 0.5718753933906555 0.037523992359638214 0.03883948549628258 0.18000586330890656 0.6425207853317261 0.0021196419838815928
    1.2.826.0.1.3680043.8.498.19231426153718876018089201509632072944 0.0006941698957234621 0.0006676769116893411 0.0006924431654624641 0.000884592707734555 0.0011724544456228614 0.00025311802164651453 0.0016369730001315475 0.21267707645893097 0.20324906706809998 0.6612830758094788 0.0015528782969340682
    1.2.826.0.1.3680043.8.498.64680563079565676932870020745921708584 0.0004949760623276234 0.00042418320663273335 0.0007226498564705253 0.001614719396457076 0.001283568679355085 0.00039680051850154996 0.0006369337206706405 0.013278056867420673 0.04398646205663681 0.9426727294921875 0.00030709983548149467
    1.2.826.0.1.3680043.8.498.35881825886988692832182642396416023479 0.00018054312386084348 0.00018467110930942 0.00019908251124434173 0.00034167844569310546 0.00021119120356161147 0.00015745079144835472 0.00010613274207571521 0.05451415106654167 0.04537280276417732 0.9345362782478333 0.00013790567754767835
    1.2.826.0.1.3680043.8.498.80162706602714877051582911847977538132 0.00037937817978672683 0.00028517397004179657 0.0011514120269566774 0.0012579851318150759 0.00042652239790186286 0.0013660135446116328 0.0001533945178380236 0.06024640053510666 0.08971570432186127 0.8687410354614258 0.00041641551069915295
    1.2.826.0.1.3680043.8.498.11411046260134691656909924298418779141 0.006481883116066456 0.0407455675303936 0.07717497646808624 0.016872795298695564 0.08355627208948135 0.0959719568490982 0.6311249136924744 0.009895008988678455 0.09830652177333832 0.9705618619918823 0.001237121527083218
    1.2.826.0.1.3680043.8.498.54903575064305889894542717575529708102 0.00018936365086119622 0.00016809128283057362 0.00021597901650238782 0.0007063117809593678 0.0003353875654283911 0.0008960813283920288 8.995296229841188e-05 0.010676217265427113 0.04892335087060928 0.9685422778129578 0.0002483765420038253
    1.2.826.0.1.3680043.8.498.16889221464854355735046161566791316399 0.00028831540839746594 0.0005111477221362293 0.0006782304844819009 0.0004642958811018616 0.0008327342802658677 0.00015931051166262478 0.0012981374748051167 0.0164321418851614 0.1987018883228302 0.8470073938369751 0.0002662559854798019
    1.2.826.0.1.3680043.8.498.10506821468376879383226614569783353817 0.0004009617550764233 0.00042401376413181424 0.0003694620681926608 0.0004693703376688063 0.0010212651686742902 8.260853064712137e-05 0.0007780703017488122 0.0973796471953392 0.1765236109495163 0.7247239947319031 0.00033560561132617295
    1.2.826.0.1.3680043.8.498.67974334168598969626838688970657408405 0.0042271846905350685 0.014755593612790108 0.022888103500008583 0.007317140698432922 0.030727777630090714 0.024927103891968727 0.25053849816322327 0.042033955454826355 0.14939117431640625 0.8847078084945679 0.0020143473520874977
    1.2.826.0.1.3680043.8.498.58611796027816991908124401001549700940 0.0003816838434431702 0.0007437513559125364 0.0024304683320224285 0.0019883394706994295 0.0012546225916594267 0.009345000609755516 0.0005269930697977543 0.017676984891295433 0.12221117317676544 0.9355118870735168 0.0007261325372382998
    1.2.826.0.1.3680043.8.498.96471399373594760251045362794407793536 0.00034518359461799264 0.0002181048912461847 0.0002542028669267893 0.0003968976379837841 0.0003603692166507244 0.00010377287253504619 0.0001835131406551227 0.02864828146994114 0.04176308959722519 0.9299524426460266 0.00013832616969011724
    1.2.826.0.1.3680043.8.498.34056648637621833683514534891229610219 0.01428653858602047 0.14278075098991394 0.26694202423095703 0.015898164361715317 0.10489165782928467 0.0048301503993570805 0.7931945323944092 0.07863505184650421 0.17069020867347717 0.8573006391525269 0.005360203329473734
    1.2.826.0.1.3680043.8.498.93555795394184819372299157360228027866 0.00025180153897963464 0.00025945022935047746 0.0003332513733766973 0.00039687828393653035 0.0003413880767766386 0.00038881052751094103 0.00013923445658292621 0.051408372819423676 0.42439302802085876 0.6067761182785034 0.0002359545323997736
    1.2.826.0.1.3680043.8.498.14229901107260457147679010818256947709 0.0001880506461020559 0.0001725665497360751 9.681404480943456e-05 0.00022408273071050644 0.00024932081578299403 5.0344911869615316e-05 0.00047687807818874717 0.02405964396893978 0.09978871792554855 0.9253474473953247 0.00014621138689108193
    1.2.826.0.1.3680043.8.498.52424843256797764629515077781070199705 0.002651563612744212 0.14293530583381653 0.770290732383728 0.03157084435224533 0.01188024040311575 0.9014989137649536 0.03489473834633827 0.12165558338165283 0.3483728766441345 0.22921130061149597 0.003025829792022705
    1.2.826.0.1.3680043.8.498.21209626317110556532658242774809711599 0.00039771589217707515 0.000426234066253528 0.00058743980480358 0.0007465720409527421 0.0011357758194208145 7.177893712650985e-05 0.0009721966343931854 0.008163122460246086 0.08015085011720657 0.9328628778457642 0.00020731663971673697
    1.2.826.0.1.3680043.8.498.60237500173496424154663865393308981637 0.0002644367632456124 0.00021166838996578008 0.00025101969367824495 0.000516849453561008 0.0007022926583886147 0.00018335107597522438 0.00031730596674606204 0.006250736769288778 0.06974808126688004 0.9512600898742676 0.00015646826068405062
    1.2.826.0.1.3680043.8.498.35667208339848488296788344288708140780 0.00019441795302554965 0.0001444670051569119 0.00021293805912137032 0.00034530158154666424 0.0003763432032428682 7.31738400645554e-05 0.00014194779214449227 0.07956103980541229 0.2521829605102539 0.6123929619789124 0.00018201317288912833
    1.2.826.0.1.3680043.8.498.11552295077327172274621483823826389557 0.013883545994758606 0.30639752745628357 0.6023725867271423 0.010187557898461819 0.037010855972766876 0.0329948291182518 0.6837075352668762 0.05510426685214043 0.24735526740550995 0.649424135684967 0.0017791172722354531
    1.2.826.0.1.3680043.8.498.35367440278771526844493195775796551716 0.0005100100534036756 0.00038735379348509014 0.0005897061782889068 0.000909940805286169 0.0014908642042428255 0.00020600629795808345 0.0006483857287093997 0.02161087468266487 0.08617090433835983 0.8997935056686401 0.00031324222800321877
    1.2.826.0.1.3680043.8.498.27697060622293803643285353167499043882 0.0007963405805639923 0.0011988467304036021 0.0018582427874207497 0.0014238279545679688 0.001983459573239088 0.00019181601237505674 0.0020715072751045227 0.20160678029060364 0.4229740500450134 0.35064634680747986 0.0004874285659752786
    1.2.826.0.1.3680043.8.498.50426489465915892373272595218774901995 0.00029188336338847876 0.00032627119799144566 0.0004716554540209472 0.0006629627896472812 0.0006107026129029691 0.00033977816929109395 0.00027683685766533017 0.03627926856279373 0.02873588539659977 0.9644452929496765 0.0001593822962604463
    1.2.826.0.1.3680043.8.498.46013277074878334497059321965333994614 0.0005697502638213336 0.0007549218134954572 0.001015200512483716 0.0009642476215958595 0.0016756452387198806 0.0006584874354302883 0.003196845529600978 0.0947505459189415 0.4440736174583435 0.6111553311347961 0.0007618808886036277
    1.2.826.0.1.3680043.8.498.10948053888867824736034454810597520931 0.00015493747196160257 0.00016200990648940206 0.0001442147622583434 0.00015707052079960704 0.00017976839444600046 9.816423698794097e-05 0.0006323918933048844 0.027633169665932655 0.2400933802127838 0.8528474569320679 0.00029031236772425473
    1.2.826.0.1.3680043.8.498.15786397914918418836913500885605519889 0.0007977940258570015 0.0018054039683192968 0.003650577273219824 0.0057524703443050385 0.001988873351365328 0.02440916933119297 0.001613063970580697 0.010653087869286537 0.03495660424232483 0.9718562960624695 0.000816312909591943
    1.2.826.0.1.3680043.8.498.56274973435356034763188474017978327057 0.00015916649135760963 0.00011652846296783537 0.00012134849384892732 0.0002789304417092353 0.0003838304546661675 2.2512209397973493e-05 0.00019664419232867658 0.0055861701257526875 0.053660523146390915 0.9584243893623352 7.410848047584295e-05
    1.2.826.0.1.3680043.8.498.41091386612281728192323259063114728329 0.00020027700520586222 0.0001660816924413666 0.00020100668189115822 0.0003036652342416346 0.0003211420262232423 8.7826992967166e-05 0.0002641503815539181 0.05680302903056145 0.5620958209037781 0.5665124654769897 0.00024078052956610918
    1.2.826.0.1.3680043.8.498.33148423249783698908895495119106898015 0.00017922488041222095 0.00015068234642967582 0.00031039974419400096 0.0006249647703953087 0.00035771261900663376 0.00024072700762189925 0.0001138162479037419 0.008068271912634373 0.009137378074228764 0.9855200052261353 9.619533375371248e-05
    1.2.826.0.1.3680043.8.498.25927222247464379699399661262063850378 0.00018749748414848 0.00020011929154861718 0.0002475202491041273 0.0004083734820596874 0.00021724539692513645 0.0005974364466965199 4.826622534892522e-05 0.04181965813040733 0.09569542855024338 0.8363767862319946 0.00029871633159928024
    1.2.826.0.1.3680043.8.498.19711021541376388862372321398330428939 0.0005791188450530171 0.00071404327172786 0.0009708295692689717 0.0007290182984434068 0.0010146050481125712 0.0001553170441184193 0.002947555622085929 0.1769125610589981 0.3201189935207367 0.3820706903934479 0.00046108345850370824
    1.2.826.0.1.3680043.8.498.19141352203934052859990843477840892387 0.0006268275901675224 0.0010968833230435848 0.0014858001377433538 0.0011585003230720758 0.0022132168523967266 0.0007546315318904817 0.02464909292757511 0.09029104560613632 0.2540890574455261 0.7503513693809509 0.000683276797644794
    1.2.826.0.1.3680043.8.498.93418775031870359351735737353850731175 0.027728328481316566 0.47006669640541077 0.5309697389602661 0.00698775053024292 0.03337085247039795 0.012611446902155876 0.9052988290786743 0.03633110597729683 0.2524612843990326 0.9171636700630188 0.0016272664070129395
    1.2.826.0.1.3680043.8.498.58652610190900640028848956327996516105 0.00032928140717558563 0.004746258724480867 0.996587872505188 0.015266028232872486 0.05249267816543579 0.17751285433769226 0.05612096190452576 0.010441112332046032 0.3585280478000641 0.8413642048835754 0.00038893253076821566
    1.2.826.0.1.3680043.8.498.11451674187904480438008687611596820890 0.0002041723346337676 0.0001153777920990251 0.00014629532233811915 0.0005282965721562505 0.00033837868249975145 0.00011811304284492508 9.272135503124446e-05 0.03679009899497032 0.02862628735601902 0.9602483510971069 0.00015285194967873394
    1.2.826.0.1.3680043.8.498.12767243744467859122491073077847445776 8.623789472039789e-05 5.366611367207952e-05 5.099253758089617e-05 0.00022829006775282323 0.00016157407662831247 3.940409442293458e-05 3.580579868867062e-05 0.003801776561886072 0.037779249250888824 0.9831129312515259 5.5466302001150325e-05
    1.2.826.0.1.3680043.8.498.11532580646395993314344388551831647805 0.0006338643142953515 0.0004027023969683796 0.0003105326904915273 0.0015964653575792909 0.003190716728568077 0.0005806778790429235 0.0024831609334796667 0.02242853306233883 0.054473876953125 0.9230232238769531 0.00031811086228117347
    1.2.826.0.1.3680043.8.498.49172615813389578891430948104607477399 0.00042637850856408477 0.0004420809564180672 0.00044139049714431167 0.0006054647965356708 0.0007752281380817294 0.00036669106339104474 0.0006278326618485153 0.027336154133081436 0.08632533252239227 0.8744031190872192 0.000255346589256078
    1.2.826.0.1.3680043.8.498.11211038478287147056041736480979699555 0.0002028812450589612 0.0002012389450101182 0.0001991748285945505 0.00036441325210034847 0.000344806321663782 0.00020849364227615297 9.737223444972187e-05 0.006004561670124531 0.3934655785560608 0.7294203639030457 0.00017746187222655863
    1.2.826.0.1.3680043.8.498.12754321261727933696670965621151618145 6.217802001629025e-05 4.5044194848742336e-05 8.045868162298575e-05 0.0001986454735742882 0.00017169972124975175 3.8290181691991165e-05 4.7896439355099574e-05 0.0017716595903038979 0.020740563049912453 0.9844483137130737 3.0502207664540038e-05
    1.2.826.0.1.3680043.8.498.89221641658474057091772509240022252280 0.00024307882995344698 0.0003772557829506695 0.001027854741550982 0.0005993003724142909 0.0007329098298214376 0.0014269043458625674 0.0008064602734521031 0.02952514961361885 0.10606001317501068 0.9114564061164856 0.0003283024416305125
    1.2.826.0.1.3680043.8.498.54685086364823118438717394100118792244 0.0002171447704313323 0.00019735257956199348 0.00020838117052335292 0.0004670887137763202 0.000255226535955444 0.0003312730696052313 6.893945101182908e-05 0.03824654594063759 0.16337110102176666 0.7794079780578613 0.0001712992525426671
    1.2.826.0.1.3680043.8.498.12320309793784718386039431254911680677 0.0003052063111681491 0.0003039967268705368 0.0005607203347608447 0.0006761153927072883 0.0005705266376025975 0.0005812770687043667 0.0001233257498824969 0.04777056723833084 0.2735900580883026 0.7345350384712219 0.00018809402536135167
    1.2.826.0.1.3680043.8.498.24835892285811548775029135561356716205 0.0006837293040007353 0.0011634447146207094 0.001876007067039609 0.002378450008109212 0.0014470263849943876 0.004537074360996485 0.0010541152441874146 0.1772848665714264 0.08334203064441681 0.8083769083023071 0.0008008023723959923
    1.2.826.0.1.3680043.8.498.68954048757651099682795178670662204670 0.00018874791567213833 0.0001853982248576358 0.00014942858251743019 0.0003479043080005795 0.0003066032368224114 4.037846520077437e-05 0.0001807526423363015 0.0337972417473793 0.47925621271133423 0.5721389055252075 0.00015085443737916648
    1.2.826.0.1.3680043.8.498.83316719295714776908635072013039700492 0.040845148265361786 0.21407444775104523 0.5488871335983276 0.13466182351112366 0.1892087757587433 0.05567427724599838 0.2876920998096466 0.08837894350290298 0.19448795914649963 0.29615750908851624 0.006788287311792374
    1.2.826.0.1.3680043.8.498.31555632565077598300804607699337148984 0.0002893201890401542 0.0005465311696752906 0.0018995588179677725 0.0012878079432994127 0.0003858097188640386 0.004059114493429661 0.00020118008251301944 0.019508976489305496 0.15125080943107605 0.8602921366691589 0.00330028566531837
    1.2.826.0.1.3680043.8.498.11651476332375302408818998204908932751 0.0021068102214485407 0.002563387155532837 0.003724998328834772 0.007124585099518299 0.006284885108470917 0.002115790266543627 0.005706213414669037 0.04053119942545891 0.03952581435441971 0.9201964139938354 0.0008236272260546684
    1.2.826.0.1.3680043.8.498.17889867207492116688874317264675048264 0.0004031292046420276 0.00024758451036177576 0.00023662534658797085 0.000635894073639065 0.0007461823988705873 0.0001955571788130328 0.00030854312353767455 0.2303331196308136 0.08968538045883179 0.72114098072052 0.00036983011523261666
    1.2.826.0.1.3680043.8.498.45151446556823743870143451344192589450 0.00046901829773560166 0.0003093183331657201 0.00026935350615531206 0.0010390498209744692 0.0006590333068743348 0.0003100813482888043 0.00027962785679847 0.053886640816926956 0.12253818660974503 0.7886902093887329 0.0003404084127396345
    1.2.826.0.1.3680043.8.498.11951343342656864731956816753607523956 0.00025204927078448236 0.00015280942898243666 0.0002071607596008107 0.00043301581172272563 0.0005282743368297815 4.607621667673811e-05 0.0002467937010806054 0.029983023181557655 0.2442445009946823 0.7359446287155151 0.00022812490351498127
    1.2.826.0.1.3680043.8.498.12002818647567139088906963234070271797 0.0007166421273723245 0.0007437175372615457 0.0011100948322564363 0.0014039184898138046 0.002650049515068531 0.0004097929340787232 0.0024498640559613705 0.024512942880392075 0.04238336533308029 0.9563766717910767 0.0003939986345358193
    1.2.826.0.1.3680043.8.498.15438555002286684935828071711796072374 0.0003340033581480384 0.0003960308094974607 0.000578275416046381 0.0005179805448278785 0.0007537583587691188 0.0003754783538170159 0.0005206406931392848 0.04249301180243492 0.1802736222743988 0.8027318716049194 0.0004014027363155037
    1.2.826.0.1.3680043.8.498.36073721477016639940291070910314046218 0.0002709747350309044 0.00019236918888054788 0.0006272202008403838 0.000832292134873569 0.0008594001410529017 0.000225946816499345 0.00029607932083308697 0.007975882850587368 0.03544040769338608 0.9730149507522583 0.00018727796850726008
    1.2.826.0.1.3680043.8.498.93546301078518023575561325738878557712 0.0006075965939089656 0.0005453368648886681 0.0007699864800088108 0.0020997992251068354 0.0011699148453772068 0.0009813213255256414 0.000658263685181737 0.016345981508493423 0.02929968200623989 0.9699546694755554 0.0004178282688371837
    1.2.826.0.1.3680043.8.498.43147135818613393761234239353307340909 0.00035801256308332086 0.000575875979848206 0.0006417002296075225 0.0008376563782803714 0.0007018229807727039 4.877078754361719e-05 0.0007952892920002341 0.050895679742097855 0.2607921361923218 0.7750194668769836 0.00028651600587181747
    1.2.826.0.1.3680043.8.498.80819076223414415129683094218394381832 0.0005074384389445186 0.001201449427753687 0.002253056038171053 0.0022254460491240025 0.0004363546031527221 0.004450817592442036 0.0005239450256340206 0.03145473450422287 0.12958112359046936 0.9404770731925964 0.000991858309134841
    1.2.826.0.1.3680043.8.498.60798566155128437010310689360928136887 0.00030905083985999227 0.00018088931392412633 0.00019153601897414774 0.0006022953311912715 0.0005574721726588905 0.00020341016352176666 0.00023521781258750707 0.3175126910209656 0.172523632645607 0.4384028911590576 0.0002927450113929808
    1.2.826.0.1.3680043.8.498.63573169253277561114390722213879729930 0.0006817223038524389 0.003020400647073984 0.0063015250489115715 0.001367725431919098 0.001352910534478724 0.0009396636742167175 0.01885608397424221 0.14023253321647644 0.3954436779022217 0.43806904554367065 0.0007884284714236856
    1.2.826.0.1.3680043.8.498.88096524534847254876108889375591941490 0.0066868155263364315 0.12026288360357285 0.7639895677566528 0.028977569192647934 0.09430932998657227 0.12793311476707458 0.23522119224071503 0.014401091262698174 0.06833608448505402 0.9668763279914856 0.001498477766290307
    1.2.826.0.1.3680043.8.498.82297106578629000574590400224425414864 0.0003262289974372834 0.000366232474334538 0.0004532256571110338 0.0010771927190944552 0.0005538923433050513 0.0012061200104653835 0.0001550538290757686 0.018757089972496033 0.09208445996046066 0.910344123840332 0.00026696681743487716
    1.2.826.0.1.3680043.8.498.12883508620516621762170989933967320954 0.00023261232126969844 0.00020201769075356424 0.0003196091565769166 0.0003150548436678946 0.0004426400118973106 0.00012920654262416065 0.00022885578800924122 0.01994069293141365 0.054590094834566116 0.9397916793823242 0.00012392966891638935
    1.2.826.0.1.3680043.8.498.10774150491593534389306295999551754299 0.00017595068493392318 0.0002405093691777438 0.0011769807897508144 0.0005257888697087765 0.00044071898446418345 0.0013593373587355018 0.0002449786406941712 0.007361301686614752 0.040148910135030746 0.9619706869125366 0.00012743414845317602
    1.2.826.0.1.3680043.8.498.87311544503183967084549867271023344244 0.00039347060373984277 0.0004949125577695668 0.0006481564487330616 0.0007239187834784389 0.001205153064802289 4.768378130393103e-05 0.002678879303857684 0.00961894541978836 0.042484261095523834 0.9547611474990845 0.00019301801512483507
    1.2.826.0.1.3680043.8.498.10740334203109409020275995372467732844 0.000289235933450982 0.0001680323330219835 0.00023735461581964046 0.0007416493026539683 0.0010512863518670201 8.584313764004037e-05 0.00023538009554613382 0.011334007605910301 0.19869545102119446 0.8437787890434265 0.00020561651035677642
    1.2.826.0.1.3680043.8.498.88029360410025150544363743398443911805 0.0006320859538391232 0.0013610385358333588 0.0018213524017482996 0.0008060451364144683 0.0016743030864745378 0.0002559106214903295 0.006628428585827351 0.09221826493740082 0.2279946357011795 0.750725269317627 0.0005781863583251834
    1.2.826.0.1.3680043.8.498.10448923850226661440302905876464525754 0.0006060649757273495 0.0009099891176447272 0.003560024779289961 0.0013687426690012217 0.0024761371314525604 0.0005626382189802825 0.006244818214327097 0.07726564258337021 0.08108682930469513 0.7315391302108765 0.0006415770621970296
    1.2.826.0.1.3680043.8.498.61042486113002711438238138512847179506 0.00021278962958604097 0.00015916198026388884 0.00034738756949082017 0.0006346471491269767 0.00035103224217891693 0.0004970721201971173 7.418659515678883e-05 0.045027367770671844 0.29597097635269165 0.6938670873641968 0.00034402674646116793
    1.2.826.0.1.3680043.8.498.64982731732211934246146039928736356303 0.0001705921022221446 0.00012020782014587894 0.00016086592222563922 0.0005654802080243826 0.0004256634565535933 0.00013080867938697338 0.00020567602769006044 0.5482664108276367 0.0578971691429615 0.42587846517562866 0.00024470797507092357
    1.2.826.0.1.3680043.8.498.31679089071936164726423851124602657829 0.0001593327324371785 8.794116001809016e-05 0.00010182566620642319 0.00023326813243329525 0.00027366928406991065 3.665728581836447e-05 8.078376413322985e-05 0.02474454790353775 0.13967004418373108 0.8720769882202148 0.00010201606346527115
    1.2.826.0.1.3680043.8.498.18781506568443626244285549992600920648 0.00034992414293810725 0.0005246276850812137 0.0003402800648473203 0.0005305400700308383 0.00046412041410803795 0.00011657227150863037 0.0003338573151268065 0.09782545268535614 0.6216877698898315 0.6013155579566956 0.0003477108257357031
    1.2.826.0.1.3680043.8.498.10805715158773723417545641655943428928 0.00043376031680963933 0.0003253897011745721 0.0003587691462598741 0.0007529847789555788 0.001361693604849279 9.480310836806893e-05 0.000986573868431151 0.02058275416493416 0.2282191514968872 0.8060104250907898 0.0003305530990473926
    1.2.826.0.1.3680043.8.498.10508870021069590254295508457012649545 0.0003021644661203027 0.00042669818503782153 0.0005316835595294833 0.00048320816131308675 0.0006588182877749205 0.0004410961701069027 0.0002887913433369249 0.0058473558165133 0.2808350622653961 0.8039959073066711 0.00015973123663570732
    1.2.826.0.1.3680043.8.498.96420493834442310031901982159940121709 9.21698083402589e-05 0.00015216153406072408 0.0001972233148990199 0.00010379259765613824 0.00018974728300236166 8.645723937661387e-06 0.002861375454813242 0.003914286382496357 0.028796937316656113 0.9890459775924683 4.840872861677781e-05
    1.2.826.0.1.3680043.8.498.10979575608790586909728384179398584316 0.026486139744520187 0.5017458200454712 0.5443134903907776 0.027373170480132103 0.028678804636001587 0.32332757115364075 0.39064496755599976 0.1695554405450821 0.4624418318271637 0.3817010819911957 0.0030874661169946194
    1.2.826.0.1.3680043.8.498.51160944360316815290660751418551982581 0.00030029122717678547 0.00024045316968113184 0.0002725442755036056 0.0005186600028537214 0.0006543084746226668 5.854262781213038e-05 0.0002657243167050183 0.018987586721777916 0.24003303050994873 0.8581063151359558 0.0002726198872551322
    1.2.826.0.1.3680043.8.498.70836695276037175032721767829976278242 0.00045659596798941493 0.0004964352119714022 0.0005497997626662254 0.000912765390239656 0.0007207317394204438 0.0009266167180612683 0.0004663740692194551 0.054641544818878174 0.5176910758018494 0.5346241593360901 0.0006558647146448493
    1.2.826.0.1.3680043.8.498.30219225823131208296465713017992825454 0.00032975399517454207 0.000343922118190676 0.000249582517426461 0.0004050230490975082 0.0005276884185150266 1.773601252352819e-05 0.0025529165286570787 0.042151693254709244 0.2153148204088211 0.8157695531845093 0.0003049336955882609
    1.2.826.0.1.3680043.8.498.57757208497689229787042163889738767219 0.00013139357906766236 0.00010765696788439527 0.00010967376874759793 0.0001972450118046254 9.273340401705354e-05 0.0001879804622149095 2.4823099010973237e-05 0.1791968047618866 0.04397757723927498 0.8536484837532043 0.00010206281149294227
    1.2.826.0.1.3680043.8.498.17404716773534004895523030674613162152 0.00027542284806258976 0.0003186207904946059 0.0017561946297064424 0.00088982202578336 0.0003986893279943615 0.001666449592448771 0.00010296805703546852 0.02454528957605362 0.17110860347747803 0.8174220323562622 0.0003320234245620668
    1.2.826.0.1.3680043.8.498.35817895731235340266092689643932615068 0.00021870192722417414 0.00014814927999395877 0.00027817822410725057 0.0004562589747365564 0.0005526322638615966 3.7477784644579515e-05 0.000532290549017489 0.0055611031129956245 0.02308502420783043 0.9703459739685059 9.269764996133745e-05
    1.2.826.0.1.3680043.8.498.11268327795751036430158562462275469863 0.00018871802603825927 0.00020226312335580587 0.00022363135940395296 0.0002753103035502136 0.00031853525433689356 8.099460683297366e-05 0.000104679842479527 0.01688372530043125 0.05720086768269539 0.957173228263855 0.00010353053221479058
    1.2.826.0.1.3680043.8.498.43669321754483912827654176167648070340 0.0004080689395777881 0.00048369006253778934 0.0005589204374700785 0.0005200013983994722 0.000824427988845855 9.916682029142976e-05 0.0008761290227994323 0.014211061410605907 0.10596349090337753 0.930455207824707 0.0001956733613042161
    1.2.826.0.1.3680043.8.498.12396461443194450608875179710228699657 0.00015124275523703545 0.00019362717284820974 0.0003265989071223885 0.0003826592001132667 0.0005444085109047592 0.0001987245341297239 0.0015163170173764229 0.005330659449100494 0.078733429312706 0.9750550389289856 0.00026981293922290206
    1.2.826.0.1.3680043.8.498.12222880968345884181180319855459271145 0.002358712488785386 0.0026032959576696157 0.003620473202317953 0.005533624906092882 0.008393279276788235 0.0022885159123688936 0.035112734884023666 0.11102781444787979 0.2135971486568451 0.7937060594558716 0.0037839808501303196
    1.2.826.0.1.3680043.8.498.11665192673224035444063150050980297138 0.00011912106856470928 0.00012225715909153223 0.000162418422405608 0.00027002819115296006 0.00012923972099088132 0.0003466577618382871 3.7457233702298254e-05 0.01784582808613777 0.01941668801009655 0.9807577133178711 6.940849561942741e-05
    1.2.826.0.1.3680043.8.498.12060732393332007351574694398353952505 0.00021313484467100352 0.00020526893786154687 0.0003806644235737622 0.00035098029184155166 0.00042002476402558386 0.00010822694457601756 0.0002731404674705118 0.004871489945799112 0.0213204063475132 0.9823900461196899 7.288993947440758e-05
    1.2.826.0.1.3680043.8.498.25337530713952049423319446523529644031 0.00013968657003715634 0.00010549653961788863 0.00016581027011852711 0.0003845753672067076 0.0002375371113885194 0.0002460491086822003 7.657019887119532e-05 0.011425630189478397 0.02007136680185795 0.9701321721076965 0.0001047407859005034
    1.2.826.0.1.3680043.8.498.10304891921711885745708570632272706722 0.0001911130966618657 0.0002004598209168762 0.0003949129022657871 0.00025955744786188006 0.00048052886268123984 0.00014465420099440962 0.00030172173865139484 0.02402125671505928 0.0740928202867508 0.8973105549812317 0.00013990759907756
    1.2.826.0.1.3680043.8.498.47733032538593041263394813571675186856 0.00013202845002524555 0.00016044362564571202 0.00026766900555230677 0.00028754203231073916 0.0002632680698297918 0.0003451548400335014 9.43345294217579e-05 0.010915844701230526 0.021976809948682785 0.984139621257782 6.605515955016017e-05
    1.2.826.0.1.3680043.8.498.48157050999875749815550261699067800473 0.0002146147598978132 0.0003437839332036674 0.0003697614884003997 0.0005486137233674526 0.0003792125207837671 0.0008033968624658883 0.00016752076044213027 0.051066577434539795 0.7181031703948975 0.3046277165412903 0.0002490410697646439
    1.2.826.0.1.3680043.8.498.96592604049868230147473676261178799285 0.0006235220935195684 0.000605920678935945 0.0004609693423844874 0.0008257318404503167 0.001271398738026619 0.00011503051791805774 0.0006786519661545753 0.15506204962730408 0.27088743448257446 0.7252019047737122 0.0007310833898372948
    1.2.826.0.1.3680043.8.498.12756648282692379430156574227576282256 0.00029286363860592246 0.00042330805445089936 0.0008702863706275821 0.0009555278229527175 0.00036904364242218435 0.004122027661651373 9.237910126103088e-05 0.13934703171253204 0.30301767587661743 0.702508807182312 0.0022075895685702562
    1.2.826.0.1.3680043.8.498.21459357515357406926875481235522456105 0.009217264130711555 0.016715334728360176 0.014839825220406055 0.019855691120028496 0.04483630508184433 0.01865663006901741 0.10464072227478027 0.1307743638753891 0.24342520534992218 0.7830577492713928 0.11805863678455353
    1.2.826.0.1.3680043.8.498.87950900563775752038754768289750446594 0.0013087280094623566 0.0014010801678523421 0.0014269397361204028 0.0025470764376223087 0.0033367336727678776 0.0005105980671942234 0.004819552414119244 0.19151045382022858 0.3308815360069275 0.47670650482177734 0.0014438180951401591
    1.2.826.0.1.3680043.8.498.12414112199852381986390664714200406169 0.00029538589296862483 0.00024780904641374946 0.0003749995375983417 0.0006525501958094537 0.0011001508682966232 0.00014692297554574907 0.0006116687436588109 0.003786655142903328 0.1335591971874237 0.9162858128547668 0.00021098475554026663
    1.2.826.0.1.3680043.8.498.32310324174202054798858133456954254249 0.0007305762846954167 0.0006252937018871307 0.000682023644912988 0.001584732672199607 0.00285872770473361 0.0003146728267893195 0.002359393984079361 0.023179814219474792 0.13108719885349274 0.852715015411377 0.00048186053754761815
    1.2.826.0.1.3680043.8.498.10538438826907068438084512482321767862 0.0005810951697640121 0.0005995417595840991 0.0007407825905829668 0.0006142338970676064 0.0010285715106874704 0.00018869138148147613 0.001081623719073832 0.23947513103485107 0.3615649938583374 0.4482843279838562 0.00041968762525357306
    1.2.826.0.1.3680043.8.498.58005613073617248155976477080056692133 0.019302168861031532 0.3454410135746002 0.6304329633712769 0.03471502289175987 0.08625632524490356 0.08089116960763931 0.4565778374671936 0.020228812471032143 0.08561594039201736 0.9576457142829895 0.0030997467692941427
    1.2.826.0.1.3680043.8.498.79977720424229700285943654247038552478 0.0023251366801559925 0.0741051584482193 0.9274700284004211 0.011710047721862793 0.028539171442389488 0.5885204672813416 0.411044180393219 0.03851587325334549 0.22574570775032043 0.9192190170288086 0.001300441799685359
    1.2.826.0.1.3680043.8.498.12770537469898692547038351859345117516 0.0003219586214981973 0.0002348193957004696 0.0005260236794129014 0.0006796240922994912 0.0007119852816686034 0.00017266723443754017 0.000571609300095588 0.06395410001277924 0.32022470235824585 0.5492335557937622 0.0003715861530508846
    1.2.826.0.1.3680043.8.498.13370089248084289091857146486529845624 0.00019435302237980068 0.0002095045056194067 0.0002199054870288819 0.000311599753331393 0.00041945086559280753 3.972154081566259e-05 0.0005024134879931808 0.006719820201396942 0.07676610350608826 0.9400812983512878 9.912914538290352e-05
    1.2.826.0.1.3680043.8.498.70741599924879537429716357545632388639 0.0006621491047553718 0.0010692437645047903 0.0016456510638818145 0.003764709457755089 0.003268271218985319 0.009548967704176903 0.002045468892902136 0.014200696721673012 0.04259317368268967 0.9583975076675415 0.0005721672787331045
    1.2.826.0.1.3680043.8.498.38821365097103938843967083594567134718 0.00026415116735734046 0.00019549480930436403 0.00035453797318041325 0.0003150242264382541 0.0005423174588941038 7.9092409578152e-05 0.0006946091307327151 0.05749986320734024 0.21493323147296906 0.7354364991188049 0.00029875096515752375
    1.2.826.0.1.3680043.8.498.32925552571117904936723482383611575711 0.017665855586528778 0.15936799347400665 0.3832637667655945 0.04581507295370102 0.08507603406906128 0.008356736972928047 0.5826288461685181 0.2886736989021301 0.2688103914260864 0.26774337887763977 0.008039691485464573
    1.2.826.0.1.3680043.8.498.82260676006863745790589836222839479170 0.0004800658207386732 0.0006494114641100168 0.0006375989178195596 0.0014773367438465357 0.000528144184499979 0.0008528510807082057 0.0002744383818935603 0.11619161069393158 0.5055103898048401 0.7122686505317688 0.0005511968629434705
    1.2.826.0.1.3680043.8.498.84702136306296084681567396352113973198 0.004394333343952894 0.014445913024246693 0.021310774609446526 0.007542923092842102 0.023133691400289536 0.013615074567496777 0.25078245997428894 0.030952483415603638 0.22979843616485596 0.8089950680732727 0.19478842616081238
    1.2.826.0.1.3680043.8.498.98470734803365688923958769336765411179 0.0005583190941251814 0.0007998886285349727 0.0005249978275969625 0.0010858485475182533 0.001213731593452394 0.00015673518646508455 0.0018722160020843148 0.06357869505882263 0.6539090871810913 0.6321791410446167 0.00072190334321931
    1.2.826.0.1.3680043.8.498.10866149101996689448194085300418685617 0.0003603343793656677 0.0005836499622091651 0.0005728255491703749 0.00044689467176795006 0.0007028054678812623 0.0001112195459427312 0.00140108703635633 0.10126511752605438 0.4291890263557434 0.6934272050857544 0.00036623916821554303
    1.2.826.0.1.3680043.8.498.11182688539602374163038520647802554702 0.0002903655404224992 0.0002517450484447181 0.0007803993066772819 0.0005469083553180099 0.0003381160204298794 0.0006644566310569644 0.00010814909910550341 0.11838855594396591 0.04252958670258522 0.8670763969421387 0.00020301761105656624
    1.2.826.0.1.3680043.8.498.45706992424453004975098306864976873683 0.0002046192530542612 0.00018841949349734932 0.00016560370568186045 0.0002884897985495627 0.0004311156808398664 8.752953726798296e-05 0.00041767192305997014 0.00931481458246708 0.30946898460388184 0.8143234252929688 0.0001756385900080204
    1.2.826.0.1.3680043.8.498.94672465845647603891992147467323499276 0.010488180443644524 0.261443555355072 0.7535096406936646 0.04304962232708931 0.0581866130232811 0.7809690237045288 0.17947529256343842 0.05272454023361206 0.5127777457237244 0.673236608505249 0.00615945877507329
    1.2.826.0.1.3680043.8.498.70227507483354278154497046534822027705 0.0008568867924623191 0.0006656916229985654 0.0008366003748960793 0.0014258440351113677 0.0020043805707246065 0.0004908051923848689 0.0010553054744377732 0.06899227201938629 0.14751096069812775 0.8354002833366394 0.0006486789206974208
    1.2.826.0.1.3680043.8.498.76655075369632888947103534801609000712 0.00017285032663494349 0.00026354557485319674 0.0008978581754490733 0.0007189918542280793 0.0002631198731251061 0.003065533936023712 6.305001443251967e-05 0.019489888101816177 0.08474867045879364 0.9136090278625488 0.0001864626246970147
    1.2.826.0.1.3680043.8.498.10136995472216870665550403705398446963 0.0004973971517756581 0.0009328564628958702 0.0016425009816884995 0.002084291074424982 0.0005494118668138981 0.004472666420042515 0.00022458129387814552 0.16187289357185364 0.2527964115142822 0.620973527431488 0.001107524847611785
    1.2.826.0.1.3680043.8.498.32781755106192766794059202945734993993 0.000274216930847615 0.00023548836179543287 0.00023827484983485192 0.0004041650390718132 0.0006558388122357428 0.00012992923439014703 0.00031384319299831986 0.016717979684472084 0.05671105533838272 0.9259649515151978 0.0001126198549172841
    1.2.826.0.1.3680043.8.498.11457532474869380523057452120630710379 0.00032627236214466393 0.00022725954477209598 0.0002486368175595999 0.00043785286834463477 0.0006589192198589444 5.776160833192989e-05 0.00025300277047790587 0.04162519425153732 0.1597251147031784 0.8113452196121216 0.0002037289086729288
    1.2.826.0.1.3680043.8.498.18169036887856690027418838201689470879 0.0001925698306877166 0.00018455530516803265 0.00027557238354347646 0.00045149275683797896 0.0006637560436502099 8.529188198735937e-05 0.0004440690972842276 0.0043841456063091755 0.014919293113052845 0.9860548973083496 8.374747267225757e-05
    1.2.826.0.1.3680043.8.498.37344780031917031951127091462141407526 0.0036625408101826906 0.015278300270438194 0.04994000867009163 0.004592950455844402 0.0192530807107687 0.124221071600914 0.880499541759491 0.06903767585754395 0.6147491335868835 0.8252150416374207 0.01191613171249628
    1.2.826.0.1.3680043.8.498.10671127708950312614971235086209043259 0.0002439052623230964 0.0002792447921819985 0.0002532398793846369 0.00034293258795514703 0.00038895863690413535 0.00016405574569944292 0.0002558573614805937 0.021678294986486435 0.27244868874549866 0.7926465272903442 0.00022207005531527102
    1.2.826.0.1.3680043.8.498.12000737844852171768636384537549677957 0.0002145332982763648 0.00019357781275175512 0.0002581678854767233 0.0005965011077933013 0.0005486232694238424 0.00031238238443620503 0.00020989174663554877 0.006463291589170694 0.04338324815034866 0.9703397750854492 0.00011413537140469998
    1.2.826.0.1.3680043.8.498.26079954465799756909634635318287857202 0.0005205600755289197 0.004678377881646156 0.9046419262886047 0.007650923915207386 0.006333628203719854 0.023955676704645157 0.0024488612543791533 0.03637445345520973 0.2089160978794098 0.49215006828308105 0.00032224826281890273
    1.2.826.0.1.3680043.8.498.82060073148893211533453043824945323006 0.00030401890398934484 0.00032933190232142806 0.0005493758362717927 0.0004959098296239972 0.0006285019917413592 0.0002749668783508241 0.00023820786736905575 0.018791038542985916 0.26820188760757446 0.7300364375114441 0.00023569597396999598
    1.2.826.0.1.3680043.8.498.56377924999514921730857275073089606836 0.00025280879344791174 0.00025944499066099524 0.00024027677136473358 0.0007180453394539654 0.0003990492841694504 0.00028032061527483165 0.00023201655130833387 0.0784522145986557 0.3905775547027588 0.6056444644927979 0.0002949559420812875
    1.2.826.0.1.3680043.8.498.23159050681302233474886879767726900387 0.00024682332878001034 0.00029961750260554254 0.0005045937141403556 0.0006420410936698318 0.0005251322872936726 0.000645315507426858 0.00019535042520146817 0.008694606833159924 0.043875329196453094 0.9728246927261353 0.00011364873353159055
    1.2.826.0.1.3680043.8.498.10181762244109104168544249641870214289 0.0007269888301379979 0.000535647151991725 0.0004692076181527227 0.002767775906249881 0.002376363379880786 0.002667973516508937 0.0013940423959866166 0.02559896744787693 0.1895969808101654 0.8027510643005371 0.00045694963773712516
    1.2.826.0.1.3680043.8.498.77742809018959361404680021177654184633 0.00024472113000229 0.0006119522731751204 0.0005938148824498057 0.000323696353007108 0.0006945459172129631 0.00010362253669882193 0.0019016566220670938 0.020477795973420143 0.0453408844769001 0.9730283617973328 0.00013142070383764803
    1.2.826.0.1.3680043.8.498.11647913184745565856531574319344909862 0.0002977090480271727 0.00020018641953356564 0.0002703572390601039 0.0004185143916402012 0.0005902140401303768 4.759872899740003e-05 0.00046304092393256724 0.04097738116979599 0.2696072459220886 0.7373684644699097 0.0002548689371906221
    1.2.826.0.1.3680043.8.498.93201143043208381778360283607341348510 0.00017353289877064526 0.00014873038162477314 0.00019052640709560364 0.0004952828167006373 0.00038416608003899455 5.2258128562243655e-05 0.00012470099318306893 0.023749003186821938 0.2525606155395508 0.814337432384491 0.00020251088426448405
    1.2.826.0.1.3680043.8.498.79434288722123136009888382790604251225 0.001003706711344421 0.0057747941464185715 0.03475138917565346 0.00969181302934885 0.001688546733930707 0.07001819461584091 0.001229329383932054 0.027839168906211853 0.2085627019405365 0.8896668553352356 0.558964729309082
    1.2.826.0.1.3680043.8.498.19227855774072109216920620404252407890 0.014395950362086296 0.06200693920254707 0.017499923706054688 0.021229663863778114 0.08785103261470795 0.03166399523615837 0.8288050889968872 0.07251337915658951 0.25231900811195374 0.5586650371551514 0.004866390023380518
    1.2.826.0.1.3680043.8.498.39388413664457203201029593594778584873 0.014468771405518055 0.22153444588184357 0.6457007527351379 0.022243425250053406 0.019235078245401382 0.47061586380004883 0.22803843021392822 0.14514246582984924 0.4105262756347656 0.7474132776260376 0.4305150508880615
    1.2.826.0.1.3680043.8.498.87651409342400301639310682973027120221 0.00024983222829177976 0.0002582618617452681 0.00023501335817854851 0.0004205579753033817 0.000557859952095896 5.161386070540175e-05 0.0004585779388435185 0.017371218651533127 0.2270461618900299 0.8572875261306763 0.00019339966820552945
    1.2.826.0.1.3680043.8.498.82051902017214606958052131197178834116 0.0009773359633982182 0.0015502653550356627 0.001942726201377809 0.002344077918678522 0.0029103029519319534 0.001193282543681562 0.003665125695988536 0.22951838374137878 0.5890229940414429 0.3695153295993805 0.0009667820995673537
    1.2.826.0.1.3680043.8.498.86041241187602478452822262111185100100 0.00793343037366867 0.10908591747283936 0.7520092725753784 0.04486372694373131 0.02610604092478752 0.7123322486877441 0.06741824001073837 0.06333065778017044 0.10624660551548004 0.9194226264953613 0.9836767315864563
    1.2.826.0.1.3680043.8.498.59608402751438711595736256979360136198 0.0002017646620515734 0.00022535028983838856 0.00015018804697319865 0.00021945734624750912 0.000296116282697767 5.499510371009819e-05 0.001614451757632196 0.01671670563519001 0.24026966094970703 0.8147746920585632 0.00023720118042547256
    1.2.826.0.1.3680043.8.498.88857779371538465623300583448601714773 0.0007005947409197688 0.00948447734117508 0.9932398796081543 0.011216936632990837 0.056412022560834885 0.39299696683883667 0.14141958951950073 0.023800060153007507 0.19673189520835876 0.9539691209793091 0.001781716593541205
    1.2.826.0.1.3680043.8.498.78423569123299697090800074846739446834 0.00010100249346578494 0.00010934086458291858 0.0004190982726868242 0.00027749265427701175 0.00020734585996251553 0.00020188924099784344 6.563650094904006e-05 0.002301383065059781 0.018226662650704384 0.9830783605575562 4.426001032697968e-05
    1.2.826.0.1.3680043.8.498.12696878871317286946741552242657002145 0.0027272694278508425 0.05112549662590027 0.9399552345275879 0.007673119194805622 0.04059130698442459 0.10881354659795761 0.8390691876411438 0.10222963243722916 0.26424258947372437 0.6550247073173523 0.002141941338777542
    1.2.826.0.1.3680043.8.498.39369223836614685397769971834529645041 0.0003532500413712114 0.0003735163772944361 0.0007724790484644473 0.0007503054803237319 0.0004972987808287144 0.0019478598842397332 0.00026885559782385826 0.032284460961818695 0.20412273705005646 0.860381007194519 0.0010921809589490294
    1.2.826.0.1.3680043.8.498.32741186150465078232374467477113870352 0.0003929419908672571 0.0003458116261754185 0.0006141868652775884 0.0007814921555109322 0.0011191812809556723 0.00016034572036005557 0.0006872912053950131 0.01237706933170557 0.13669045269489288 0.872803807258606 0.00025508340331725776
    1.2.826.0.1.3680043.8.498.58352322047130780878345504930246898515 0.0001980353845283389 0.00021109481167513877 0.0005020340322516859 0.0005383170209825039 0.0005949614569544792 0.0001543541147839278 0.00029150734189897776 0.00399518758058548 0.02881094254553318 0.9803148508071899 8.921988774091005e-05
    1.2.826.0.1.3680043.8.498.74441064209810714895869245609939565752 0.00023609639902133495 0.0002622868923936039 0.000396059884224087 0.0007747185882180929 0.0004393730196170509 0.0022273832000792027 0.00020596019749063998 0.03189970180392265 0.18663030862808228 0.8201879262924194 0.0006478301947936416
    1.2.826.0.1.3680043.8.498.67068732155810303199225792926007513164 0.00013579661026597023 9.208564006257802e-05 0.00021134756389074028 0.00037672914913855493 0.0003745848371181637 0.00014380834181793034 0.00010322606976842508 0.0052663665264844894 0.039276428520679474 0.9563008546829224 9.571009286446497e-05
    1.2.826.0.1.3680043.8.498.79302378998948597520439786638200890010 0.0058529130183160305 0.3036389648914337 0.6714088916778564 0.0027452129870653152 0.011379310861229897 0.01821092888712883 0.9368966817855835 0.01629256084561348 0.2954794466495514 0.8364793062210083 0.0013044947991147637
    1.2.826.0.1.3680043.8.498.12797387585280526531772230274223104573 0.00031821971060708165 0.0003342860727570951 0.0004956888733431697 0.0010489772539585829 0.0005622696480713785 0.002195394830778241 0.0001581562391947955 0.013773580081760883 0.27142488956451416 0.7809348106384277 0.0003107119700871408
    1.2.826.0.1.3680043.8.498.10459563232822238644710698828523338868 0.0009117008303292096 0.0010230920743197203 0.0029215689282864332 0.003624109085649252 0.0033509694039821625 0.002271483652293682 0.004796257708221674 0.011079797521233559 0.03217006474733353 0.9839469790458679 0.0007043771329335868
    1.2.826.0.1.3680043.8.498.18165088346448017235450280419956503228 0.003966326825320721 0.008213261142373085 0.009314822033047676 0.006403916981071234 0.017953332513570786 0.04481890797615051 0.9309582710266113 0.1257130205631256 0.4331739544868469 0.6120157837867737 0.007982442155480385
    1.2.826.0.1.3680043.8.498.22288688577815107142640739090448309165 0.00027600632165558636 0.0003400431014597416 0.0005534401861950755 0.000489107973407954 0.0009911491069942713 3.5341294278623536e-05 0.0015280317747965455 0.01493470836430788 0.010623177513480186 0.9783517718315125 8.243209595093504e-05
    1.2.826.0.1.3680043.8.498.97198741663291397470698237624944883090 0.00034692068584263325 0.00036012669443152845 0.0004906397080048919 0.0009605138329789042 0.0010221443371847272 0.00022700312547385693 0.0009580277837812901 0.010400054045021534 0.041234493255615234 0.9506317973136902 0.00019528865232132375
    1.2.826.0.1.3680043.8.498.13175137226097381943756504253327529143 0.000235203726333566 0.0003735738282557577 0.000621914747171104 0.0004894100711680949 0.0006760776741430163 0.0001439006591681391 0.0009478933061473072 0.006592485122382641 0.126205712556839 0.9213839769363403 0.00023330203839577734
    1.2.826.0.1.3680043.8.498.62634014147608728301185947229774994328 0.0007237204699777067 0.0028730561025440693 0.9862055778503418 0.014695331454277039 0.07402731478214264 0.02045902982354164 0.08556990325450897 0.05723748356103897 0.12651273608207703 0.6173322796821594 0.000731014006305486
    1.2.826.0.1.3680043.8.498.92084709163200510885447183062319661893 0.00010116439079865813 6.536364526255056e-05 0.00010449789988342673 0.0001762522297212854 0.00017433389439247549 2.1492844098247588e-05 0.0011023401748389006 0.00467599555850029 0.0418727770447731 0.9583868980407715 8.319367043441162e-05
    1.2.826.0.1.3680043.8.498.63519238998973333398343031980186378104 0.00036180787719786167 0.00036381641984917223 0.0006539413006976247 0.0010409073438495398 0.001280113123357296 0.0006982596823945642 0.0005763236549682915 0.005688827484846115 0.05715421959757805 0.9439451098442078 0.00021474719687830657
    1.2.826.0.1.3680043.8.498.52501233687764291055398804377749521564 0.00018164797802455723 0.00013487825344782323 0.0004328202921897173 0.0008016267674975097 0.0003514742129482329 0.0005405288538895547 3.57002645614557e-05 0.7679105997085571 0.04970389977097511 0.2276535928249359 0.00029243103927001357
    1.2.826.0.1.3680043.8.498.11019153054227330967295877084380750253 0.0002392261812929064 0.0004410720430314541 0.0004831621772609651 0.00027135226991958916 0.000641194055788219 5.6496570323361084e-05 0.0025162864476442337 0.007677861955016851 0.052319347858428955 0.9597398638725281 0.00011487038864288479
    1.2.826.0.1.3680043.8.498.12901227597778213490182280442836687826 0.000510699930600822 0.002978402189910412 0.9775327444076538 0.013145026750862598 0.05055668205022812 0.046344559639692307 0.045481663197278976 0.10977095365524292 0.5571544766426086 0.3333263397216797 0.0005289485561661422
    1.2.826.0.1.3680043.8.498.10374657641818191232010791236079353986 0.00027901242719963193 0.0003155044396407902 0.0005069485632702708 0.0006966434302739799 0.0007277855766005814 6.338866660371423e-05 0.0006601658533327281 0.06486187130212784 0.5985446572303772 0.2953892648220062 0.0002961201826110482
    1.2.826.0.1.3680043.8.498.61657475851871666630506277684974232780 0.001549303880892694 0.003317099530249834 0.0063936179503798485 0.0047433930449187756 0.004978897515684366 0.02139211632311344 0.006929587572813034 0.21343979239463806 0.18822447955608368 0.6517276763916016 0.0011591434013098478
    1.2.826.0.1.3680043.8.498.46726310827719921767904783602366475282 0.0002014773926930502 0.0002678789896890521 0.00045020636753179133 0.00032063861726783216 0.0007417830638587475 2.883493471017573e-05 0.0007315712864510715 0.010209253057837486 0.07530621439218521 0.9219147562980652 0.00010699536505853757
    1.2.826.0.1.3680043.8.498.82425066802351790753033929574784774707 0.0003286853025201708 0.00037893091212026775 0.0006090902024880052 0.0005185225163586438 0.0003820458077825606 0.0008256650762632489 0.00013263963046483696 0.04626750946044922 0.2488044798374176 0.6829770803451538 0.00030500220600515604
    1.2.826.0.1.3680043.8.498.11921509906013709764228406724627079626 0.0004903569933958352 0.0008093146607279778 0.0017883710097521544 0.0012343283742666245 0.0012953318655490875 0.003949401434510946 0.0007999453810043633 0.210675910115242 0.7053034901618958 0.39109253883361816 0.0008348489063791931
    1.2.826.0.1.3680043.8.498.44508559114175242400123040731778370317 0.0001336697896476835 9.382063581142575e-05 0.00013914107694290578 0.00039557943819090724 0.0001576243812451139 0.00025751738576218486 3.6362154787639156e-05 0.015291807241737843 0.17543286085128784 0.8254004716873169 0.00012953209807164967
    1.2.826.0.1.3680043.8.498.13170764714731991596384462566069080586 0.00020235245756339282 0.00015379153774119914 0.00027772472822107375 0.0008280769689008594 0.0005723200738430023 0.0002964409941341728 0.00021048332564532757 0.008282193914055824 0.025565410032868385 0.9833768010139465 0.00012731269816868007
    1.2.826.0.1.3680043.8.498.82170814732383474374981201237054287803 0.00043455371633172035 0.0008940676343627274 0.0009744581766426563 0.0005410920130088925 0.0011010088492184877 0.00019875560246873647 0.003606486367061734 0.1537325084209442 0.534629762172699 0.7208901047706604 0.00048294098814949393
    1.2.826.0.1.3680043.8.498.11493496349425726496168118138923551036 0.00023802444047760218 0.00013555905024986714 0.00010563682008069009 0.0007076609181240201 0.0002489644684828818 0.00028290433692745864 5.130923818796873e-05 0.054624032229185104 0.09660841524600983 0.8972112536430359 0.00022131398145575076
    1.2.826.0.1.3680043.8.498.31914257303207507049699931835441164234 0.00030082586454227567 0.00034212510217912495 0.00046412990195676684 0.0008694118005223572 0.00047879578778520226 0.0005054114735685289 0.0002487053570803255 0.014932232908904552 0.039490438997745514 0.9716488718986511 0.00020989980839658529
    1.2.826.0.1.3680043.8.498.32425321252291441031834144476960368058 0.0008252597181126475 0.0008300527697429061 0.0014743136707693338 0.0033150319941341877 0.004453366156667471 0.0004513865860644728 0.003366707591339946 0.015718640759587288 0.05006219074130058 0.9519826173782349 0.00042399088852107525
    1.2.826.0.1.3680043.8.498.33546288556109153269542290463187146457 0.000490129750687629 0.00040072808042168617 0.0004702177247963846 0.0007834650459699333 0.0008800195646472275 0.00010509422281756997 0.0006255159387364984 0.06709279119968414 0.06346070021390915 0.9081622362136841 0.00028297342942096293
    1.2.826.0.1.3680043.8.498.93939628113339363487208932200565279876 0.000129274238133803 0.0001643659343244508 0.0002817507483996451 0.0001230109337484464 0.00019740560674108565 8.316106686834246e-05 0.00021860317792743444 0.030358973890542984 0.24448800086975098 0.7552602887153625 0.0001045928438543342
    1.2.826.0.1.3680043.8.498.64880149572522853203050668789215867260 0.03208379074931145 0.31066974997520447 0.5500165224075317 0.03424360975623131 0.04294751212000847 0.3496484160423279 0.39576584100723267 0.09298240393400192 0.35817959904670715 0.6781364679336548 0.007110281381756067
    1.2.826.0.1.3680043.8.498.38358061792347593577658038088573599706 0.00038368278183043003 0.0002885608992073685 0.0003025465412065387 0.0006925837369635701 0.0009410682832822204 0.00017036018834915012 0.0010068609844893217 0.29121673107147217 0.17721477150917053 0.5354306101799011 0.0006185355596244335
    1.2.826.0.1.3680043.8.498.12008474517366471135065950308477939594 0.00035331572871655226 0.0004892820725217462 0.0005913417553529143 0.0006254898034967482 0.0009280408849008381 0.00016350187070202082 0.0006779850227758288 0.008892262354493141 0.12980279326438904 0.9019032716751099 0.00016947317635640502
    1.2.826.0.1.3680043.8.498.40513661064647161955021313494708666493 0.003817030694335699 0.061466701328754425 0.8865182995796204 0.020903121680021286 0.07602198421955109 0.6595835089683533 0.4105081558227539 0.022891759872436523 0.12053140252828598 0.9568780064582825 0.0027616776060312986
    1.2.826.0.1.3680043.8.498.65880703737772276359562363219822185657 0.0016504578525200486 0.058273185044527054 0.7544251680374146 0.004037856124341488 0.03378095477819443 0.016268786042928696 0.8449903726577759 0.00959036499261856 0.0837542861700058 0.9860285520553589 0.0007420824258588254
    1.2.826.0.1.3680043.8.498.47280310126477849353210738897057980082 0.0019231094047427177 0.00479027908295393 0.033954791724681854 0.006471878383308649 0.014000284485518932 0.0023055679630488157 0.014810184016823769 0.049156807363033295 0.05423977971076965 0.915309727191925 0.0006556260632351041
    1.2.826.0.1.3680043.8.498.47259090787862080117115394112153701662 0.0001267196930712089 0.00022062158677726984 0.0004246794560458511 0.0004932129522785544 0.00023121638514567167 0.0017533202189952135 9.818361286306754e-05 0.00749250641092658 0.029367243871092796 0.9863109588623047 7.946285040816292e-05
    1.2.826.0.1.3680043.8.498.40107516493661852781827975516218256202 0.00045320141362026334 0.0006581826019100845 0.0007322478340938687 0.000679231365211308 0.0011018847580999136 7.024051592452452e-05 0.020901966840028763 0.13482986390590668 0.557948648929596 0.29112571477890015 0.0005626034690067172
    1.2.826.0.1.3680043.8.498.11334543681415610626257223430650496944 0.00026232757954858243 0.00019526309915818274 0.00017638999270275235 0.00027593172853812575 0.00043920069583691657 3.67205539077986e-05 0.00024533801479265094 0.04056214913725853 0.1762603223323822 0.7539840936660767 0.00020584359299391508
    1.2.826.0.1.3680043.8.498.43730109079855621702079354838794410684 0.00021083497267682105 0.00014955682854633778 0.00018653103325050324 0.0005181715823709965 0.000346839806297794 0.00010592781472951174 0.0001985973649425432 0.05334717035293579 0.23568621277809143 0.6862396001815796 0.00027517767739482224
    1.2.826.0.1.3680043.8.498.11687454933173206531597622774979066716 0.000330090697389096 0.0004649442562367767 0.00046977982856333256 0.0005467993323691189 0.0007861008634790778 0.00015173846622928977 0.001400586450472474 0.035077594220638275 0.08694033324718475 0.8898967504501343 0.00019956550386268646
    1.2.826.0.1.3680043.8.498.45196943972846957217405600317378809917 0.0008681694162078202 0.0011329937260597944 0.001764949643984437 0.0023625793401151896 0.002597726648673415 0.00038312451215460896 0.0024281314108520746 0.061050981283187866 0.28568127751350403 0.6143335103988647 0.011887137778103352
    1.2.826.0.1.3680043.8.498.34433817986574423993817271258357153045 0.00033833994530141354 0.00035506804124452174 0.0009796821977943182 0.0011400800431147218 0.0013879963662475348 0.0004303756286390126 0.0008380018407478929 0.007268916815519333 0.01838257536292076 0.9741365313529968 0.00018346063734497875
    1.2.826.0.1.3680043.8.498.30252449452211050374520814071454659197 0.00011425750562921166 0.00011315458687022328 0.0001791440008673817 0.00021447108883876354 0.0001381492766086012 0.00024497369304299355 4.178228118689731e-05 0.019077863544225693 0.027849659323692322 0.9727402925491333 6.081310493755154e-05
    1.2.826.0.1.3680043.8.498.14796372073255153925300862877595866004 0.0001756693673087284 0.00010353267134632915 0.00012214471644256264 0.0004716598486993462 0.0005260487087070942 6.466532067861408e-05 0.00019646408327389508 0.01302049309015274 0.06130951642990112 0.9407898783683777 0.00013861525803804398
    1.2.826.0.1.3680043.8.498.12778455939303058047695451519570528439 0.011271519586443901 0.19968998432159424 0.8110796809196472 0.05107154697179794 0.04041551426053047 0.6480603218078613 0.08451609313488007 0.12357320636510849 0.4594336450099945 0.5731281042098999 0.005230368580669165
    1.2.826.0.1.3680043.8.498.44032891839409639851044844618976583756 0.0004493629967328161 0.0005264731589704752 0.0005716330488212407 0.0007451219717040658 0.0009876330150291324 0.0001686719770077616 0.0008378045749850571 0.013745536096394062 0.04452482983469963 0.9566817283630371 0.0002462971897330135
    1.2.826.0.1.3680043.8.498.56000606818314859793417187518070072143 0.000456763431429863 0.0004738437128253281 0.0003688045544549823 0.0004575859638862312 0.0005185162299312651 0.00010245754674542695 0.0009176513995043933 0.15172675251960754 0.16479329764842987 0.7709676027297974 0.0004982384853065014
    1.2.826.0.1.3680043.8.498.12640746001117771290955265079748263293 0.00022069485567044467 0.00018557852308731526 0.00040660123340785503 0.0005168552743270993 0.000257062551099807 0.0004623707791324705 0.00010028093674918637 0.011147430166602135 0.09459137171506882 0.9275071024894714 0.00021621049381792545
    1.2.826.0.1.3680043.8.498.47180434450605360651568314711144245418 0.00012195539602544159 0.0001350316306343302 0.0005245291395112872 0.00044525956036522985 0.0003098345478065312 0.0002664731291588396 0.00012976017023902386 0.010221919044852257 0.025470172986388206 0.9807865023612976 0.00024053198285400867
    1.2.826.0.1.3680043.8.498.10838100744089835474593805419165833225 0.0003393891965970397 0.0002788295387290418 0.0004930317518301308 0.0005127202020958066 0.0007715978426858783 0.00015227406402118504 0.001727865426801145 0.026466915383934975 0.06249117851257324 0.9274749755859375 0.0002524633891880512
    1.2.826.0.1.3680043.8.498.97009562552750474941912719414414610265 0.00555026438087225 0.0561821274459362 0.9207786321640015 0.019253557547926903 0.05918990448117256 0.21536798775196075 0.6466551423072815 0.046048395335674286 0.21068549156188965 0.9381929636001587 0.9704350233078003
    1.2.826.0.1.3680043.8.498.57916827996384091690606419730617348518 9.316224895883352e-05 6.952490366529673e-05 0.00014961323176976293 0.0002265871298732236 0.00015429366612806916 0.00011113840446341783 4.637741221813485e-05 0.00631833216175437 0.0278179831802845 0.9618404507637024 5.409165896708146e-05
    1.2.826.0.1.3680043.8.498.10904597234187900455322527031308132283 0.0001783613843144849 9.051236702362075e-05 0.00018752583127934486 0.0005351561703719199 0.00041314074769616127 9.231453441316262e-05 0.00010990710143232718 0.010222154669463634 0.01910598762333393 0.9804553985595703 8.478823292534798e-05
    1.2.826.0.1.3680043.8.498.56381380219034110615444972371233587168 0.00044743233593180776 0.0003923290059901774 0.0005783729138784111 0.0010316388215869665 0.001349539146758616 0.00032565061701461673 0.0007306142942979932 0.038718510419130325 0.4900180697441101 0.4882163107395172 0.000386689614970237
    1.2.826.0.1.3680043.8.498.45301439037466883398145900303588712380 0.0006076194695197046 0.0007709130877628922 0.0008252106490544975 0.0015260764630511403 0.0014441765379160643 0.0007410759571939707 0.001990577671676874 0.06578363478183746 0.6103919744491577 0.519065797328949 0.0009692871826700866
    1.2.826.0.1.3680043.8.498.10396668058607081564458419030446244870 0.00035862997174263 0.00021428769105114043 0.00024042600125540048 0.000929068133700639 0.0010507968254387379 0.00018007998005487025 0.0005236080032773316 0.006713413633406162 0.041442178189754486 0.9698786735534668 0.0001685596362221986
    1.2.826.0.1.3680043.8.498.29832831013238259911401633532659750123 0.0001141829852713272 0.00011976268433500081 0.00025274092331528664 0.00022220329265110195 0.00027630338445305824 6.032921373844147e-05 0.0001715561666060239 0.006122636143118143 0.056502293795347214 0.9632046818733215 6.195419700816274e-05
    1.2.826.0.1.3680043.8.498.39663236898838119827869859581266395024 0.00023585856251884252 0.00019948223780374974 0.00038586967275477946 0.00038424908416345716 0.0006924751214683056 6.867273623356596e-05 0.0006045517511665821 0.01250388938933611 0.058063805103302 0.9235998392105103 0.00013468158431351185
    1.2.826.0.1.3680043.8.498.11086677407703525147045227430405780295 0.0002418613585177809 0.0002893249620683491 0.0004360745078884065 0.0003100957255810499 0.0004531468730419874 2.2064066797611304e-05 0.0034148511476814747 0.009162911213934422 0.03341149166226387 0.9577086567878723 0.00011083295976277441
    1.2.826.0.1.3680043.8.498.31365479801404007311365048380495464463 0.007421073969453573 0.1226121336221695 0.6663240194320679 0.03569862246513367 0.028377924114465714 0.6325597763061523 0.047945864498615265 0.03126730024814606 0.1520732343196869 0.8956573605537415 0.002685226732864976
    1.2.826.0.1.3680043.8.498.95160621268747944298997799260908453872 0.0004645704757422209 0.0008803601376712322 0.0009456089464947581 0.0009120817994698882 0.0010140782687813044 0.00029339914908632636 0.000640821410343051 0.08360446989536285 0.5877599120140076 0.581335186958313 0.0004216700326651335
    1.2.826.0.1.3680043.8.498.12660407242685792184609602771866888906 0.00019603196415118873 0.00013749969366472214 0.0003078906738664955 0.0003746429574675858 0.0004599433741532266 7.891960558481514e-05 0.00017852269229479134 0.008231949992477894 0.028051236644387245 0.9645326733589172 9.820835839491338e-05
    1.2.826.0.1.3680043.8.498.22241919120926429630574515321158947202 0.0005923826829530299 0.0057335300371050835 0.9943536520004272 0.018225615844130516 0.057303935289382935 0.19202344119548798 0.06255091726779938 0.05523667857050896 0.2277640551328659 0.5865644216537476 0.0005302092176862061
    1.2.826.0.1.3680043.8.498.16897990902951214133656271416594348307 0.0003696173371281475 0.00038028217386454344 0.00105187576264143 0.0016985231777653098 0.0014469418674707413 0.0015668489504605532 0.001227324828505516 0.041692543774843216 0.15571080148220062 0.8376483917236328 0.00035120872780680656
    1.2.826.0.1.3680043.8.498.13324529368306779312209467001668748204 0.007248272653669119 0.010355507023632526 0.02255459502339363 0.03115895763039589 0.01040620356798172 0.040158502757549286 0.018816009163856506 0.1765865832567215 0.3839959502220154 0.4169819951057434 0.004603208042681217
    1.2.826.0.1.3680043.8.498.77377990679537024318700140995682558872 0.0003529631649143994 0.0002685325453057885 0.0003362686256878078 0.0005518224788829684 0.0004378627927508205 0.0004186950682196766 0.00023852483718656003 0.14272309839725494 0.29797807335853577 0.5633770227432251 0.00031648739241063595
    1.2.826.0.1.3680043.8.498.11475519772230093634528061739106080373 0.00022790173534303904 0.00014685657515656203 0.00021021251450292766 0.00045407068682834506 0.00030869434704072773 0.00022191510652191937 8.576195978093892e-05 0.04696602001786232 0.07107142359018326 0.8764554262161255 0.0001462708751205355
    1.2.826.0.1.3680043.8.498.12732270010839808189235995393981377825 0.0005463481647893786 0.0005398162757046521 0.0005757954786531627 0.0008268586243502796 0.0016446694498881698 8.735511801205575e-05 0.0024669840931892395 0.14033381640911102 0.269549697637558 0.5344759821891785 0.0005699825705960393
    1.2.826.0.1.3680043.8.498.50868024778620845742077648115890681824 9.884372411761433e-05 0.0001012874417938292 0.000136319940793328 0.00015545738278888166 0.00023419568606186658 2.328066693735309e-05 0.00016660784604027867 0.0035286000929772854 0.03819753974676132 0.9713417291641235 5.320485070114955e-05
    1.2.826.0.1.3680043.8.498.93514457832999013960069794408051810067 0.000821886002086103 0.00040033794357441366 0.0006455124821513891 0.005152777768671513 0.005091374274343252 0.001620223163627088 0.004350175149738789 0.9149461984634399 0.0452062226831913 0.08145533502101898 0.000809420074801892
    1.2.826.0.1.3680043.8.498.72586918733016449248445304333926517766 0.00028535694582387805 0.00020213246170897037 0.000309340946841985 0.00046233850298449397 0.0006022281595505774 7.152897160267457e-05 0.0003270339220762253 0.029283860698342323 0.18723514676094055 0.9042243957519531 0.0002482081181369722
    1.2.826.0.1.3680043.8.498.96593757954606477373348977047874300452 0.03784991800785065 0.34712308645248413 0.6343854665756226 0.07819079607725143 0.04334169253706932 0.3775351941585541 0.12226533889770508 0.1383824348449707 0.27853137254714966 0.6452409625053406 0.141110360622406
    1.2.826.0.1.3680043.8.498.34310360450291204006240455673327363100 0.0006610818672925234 0.0008615708211436868 0.001345988130196929 0.002355158794671297 0.0012761129764840007 0.001825591898523271 0.0008278120076283813 0.1555839329957962 0.7327393293380737 0.1576814204454422 0.0005434966296888888
    1.2.826.0.1.3680043.8.498.88186978709050475042693767213606023835 0.0032504487317055464 0.02782772108912468 0.025450104847550392 0.0052085029892623425 0.006583160255104303 0.0025867600925266743 0.34524935483932495 0.14913369715213776 0.47930780053138733 0.5018163919448853 0.0026560118421912193
    1.2.826.0.1.3680043.8.498.15219512810934470822163429055628336579 0.00016445251822005957 0.00011628774518612772 0.00020592454529833049 0.0004114898038096726 0.00033335998887196183 7.390564860543236e-05 0.0002150054497178644 0.017637338489294052 0.11663676798343658 0.8717392683029175 0.00011399304639780894
    1.2.826.0.1.3680043.8.498.10757987889434472269914554728275834103 0.000294646859401837 0.00029798716423101723 0.0006901914603076875 0.0006847052718512714 0.0006844361196272075 0.00046839151764288545 0.00037698523374274373 0.01641169935464859 0.10063378512859344 0.9276707768440247 0.000244337716139853
    1.2.826.0.1.3680043.8.498.23480726606738949450268210039943453857 0.00026412802981212735 0.0002454651112202555 0.0002517998218536377 0.00034380314173176885 0.0005703988717868924 7.919185009086505e-05 0.00046103051863610744 0.019983747974038124 0.09182030707597733 0.8637751340866089 0.0001848678512033075
    1.2.826.0.1.3680043.8.498.12454285932341507359244485969159540024 0.0002689719258341938 0.00026556215016171336 0.00022541049111168832 0.00043476870632730424 0.00044994716881774366 0.00013123314420226961 0.0003100750036537647 0.19389382004737854 0.6726669073104858 0.17076440155506134 0.00031341833528131247
    1.2.826.0.1.3680043.8.498.74883237362413550900859408306299948340 0.0007210063049569726 0.0012297206558287144 0.002188628539443016 0.0033838930539786816 0.0004191896878182888 0.013081714510917664 0.00010404939530417323 0.23802104592323303 0.3220256567001343 0.611707329750061 0.0015580166364088655
    1.2.826.0.1.3680043.8.498.57934973226715110749198704961812925621 0.00014779843331780285 0.00010560904775047675 0.00018470121722202748 0.0002871164178941399 0.00035025429679080844 7.916622416814789e-05 0.00023349332332145423 0.007962996140122414 0.07942545413970947 0.9318006634712219 9.707127173896879e-05
    1.2.826.0.1.3680043.8.498.49098684120877961165685702836738222928 0.00016852091357577592 0.00011223872570553795 0.00011446529242675751 0.00025462027406319976 0.00040567401447333395 3.533493872964755e-05 0.00011341795470798388 0.02097296342253685 0.2540373206138611 0.6958359479904175 0.0001749553339323029
    1.2.826.0.1.3680043.8.498.26074250769235059749448698109519558966 0.0001614250213606283 0.00012500540469773114 0.0001302099844906479 0.00022067436657380313 0.00023503598640672863 5.608289939118549e-05 0.00015517730207648128 0.04192706570029259 0.16797199845314026 0.7765522599220276 0.00011516796803334728
    1.2.826.0.1.3680043.8.498.73370256889952403186433115922631716754 0.036480698734521866 0.5602658987045288 0.4392901360988617 0.03717672824859619 0.040529150515794754 0.1852935403585434 0.48424291610717773 0.052442193031311035 0.39482879638671875 0.3768671154975891 0.00143789395224303
    1.2.826.0.1.3680043.8.498.11213546402603176328283739635199052975 0.00032239584834314883 0.0004191048501525074 0.0007423959905281663 0.0007563702529296279 0.0006106492364779115 0.0009036127594299614 0.00020969891920685768 0.012804272584617138 0.06100911647081375 0.9503982663154602 0.00017441701493225992
    1.2.826.0.1.3680043.8.498.17713116872136478946103772003455698294 0.000267350347712636 0.00033906876342371106 0.0002870681055355817 0.00029512771288864315 0.00043805959285236895 8.318385516759008e-05 0.0013202917762100697 0.057333625853061676 0.1835223138332367 0.8974388241767883 0.00019543310918379575
    1.2.826.0.1.3680043.8.498.12273318659775302438471467960008265595 0.0005604211473837495 0.0007770461379550397 0.0005687173106707633 0.00110343296546489 0.0008865712443366647 0.00022521524806506932 0.001016278751194477 0.10458296537399292 0.5052888989448547 0.824718177318573 0.0009446799522265792
    1.2.826.0.1.3680043.8.498.12385367945868739737457350298983370936 0.00016991393931675702 0.000130261221784167 0.0001588111335877329 0.0003460960288066417 0.0002738241746556014 6.533999112434685e-05 0.00014953213394619524 0.015106257982552052 0.2204662263393402 0.8592978715896606 0.0001551041641505435
    1.2.826.0.1.3680043.8.498.23398909074435492262418086627489252401 0.00023776591115165502 0.0001912027655635029 0.0004194675129838288 0.0008137027616612613 0.0010444925865158439 0.00013458586181513965 0.0003926590143237263 0.002989298664033413 0.011625735089182854 0.9924628138542175 0.00010032523277914152
    1.2.826.0.1.3680043.8.498.37796693151015386892846625103445428002 0.00020508933812379837 0.0001278971612919122 0.0002785852993838489 0.0005560575518757105 0.0007118460489436984 6.633915472775698e-05 0.00015521436580456793 0.007212184369564056 0.03401488438248634 0.9520756006240845 9.480752487434074e-05
    1.2.826.0.1.3680043.8.498.12727940845025298026161078232965229779 0.0001852507411967963 0.00015867459296714514 0.0002555907121859491 0.00031526011298410594 0.00030591702670790255 0.0002305158122908324 0.0001017832983052358 0.004510093480348587 0.21061992645263672 0.8684923052787781 0.00010675414523575455
    1.2.826.0.1.3680043.8.498.67450860614101783205853088179584269249 0.009832257404923439 0.07958128303289413 0.8119156956672668 0.08224551379680634 0.10131227970123291 0.24952368438243866 0.15484514832496643 0.0705132931470871 0.21925178170204163 0.25235867500305176 0.001705000177025795
    1.2.826.0.1.3680043.8.498.25577419787453194635631862389867930081 0.0004315245314501226 0.00033982362947426736 0.00026312744012102485 0.0006334424833767116 0.0006818748661316931 9.425313328392804e-05 0.000710901862476021 0.16171565651893616 0.3267086148262024 0.45170164108276367 0.000344693660736084
    1.2.826.0.1.3680043.8.498.45388596122255205653943516340651702966 0.00014316172746475786 0.0001015597372315824 0.00016026824596337974 0.000479082198580727 0.00014170959184411913 0.0002813026658259332 2.902770575019531e-05 0.07311534881591797 0.13774538040161133 0.7968048453330994 0.00017277413280680776
    1.2.826.0.1.3680043.8.498.10185089840392464009013185929281513548 0.00021519616711884737 0.00015010006609372795 0.00017102649144362658 0.0003837091790046543 0.00055217050248757 3.147335519315675e-05 0.0002183378383051604 0.008704649284482002 0.05645042657852173 0.9415818452835083 9.99789554043673e-05
    1.2.826.0.1.3680043.8.498.21652502475243519731439646015997703014 9.840868733590469e-05 0.0016592046013101935 0.996749997138977 0.006822007708251476 0.0018507291097193956 0.12157367169857025 0.0006777865928597748 0.062638059258461 0.39355406165122986 0.47063955664634705 0.00019912142306566238
    1.2.826.0.1.3680043.8.498.91730262500632345255546779888590021529 0.0010618559317663312 0.0031206151470541954 0.002564573660492897 0.0011106905294582248 0.0020038823131471872 0.0005340307834558189 0.04529357701539993 0.3455125391483307 0.5937083959579468 0.35695919394493103 0.0008300619083456695
    1.2.826.0.1.3680043.8.498.88019145088199836928859291252981407656 0.002033795230090618 0.07236532866954803 0.85894376039505 0.0015724825207144022 0.008292773738503456 0.011818813160061836 0.9336782693862915 0.039492249488830566 0.3352169990539551 0.2860896587371826 0.0005007534055039287
    1.2.826.0.1.3680043.8.498.44301531874099113127997146003158372801 0.00036264312802813947 0.00038278891588561237 0.0007602471159771085 0.0006002818699926138 0.000718803028576076 0.00022842781618237495 0.0006826858734712005 0.1225728839635849 0.20948052406311035 0.6848921775817871 0.0003697843640111387
    1.2.826.0.1.3680043.8.498.12304024492755819520099507980936008386 0.0014050423633307219 0.011202922090888023 0.023568522185087204 0.0040483130142092705 0.006467537023127079 0.016633223742246628 0.013220420107245445 0.049948710948228836 0.06672622263431549 0.9602288007736206 0.0005477225058712065
    1.2.826.0.1.3680043.8.498.20375374497199877005393599252681794880 0.00120726996101439 0.0009123723721131682 0.001396107254549861 0.0035658988635987043 0.004338707774877548 0.0028978053014725447 0.005166111048310995 0.02906634844839573 0.38087570667266846 0.7883564233779907 0.0007895253365859389
    1.2.826.0.1.3680043.8.498.33971831514512587619647761420799866226 0.00019763325690291822 0.00012719372170977294 0.00019537287880666554 0.00042461659177206457 0.00048590853111818433 8.086197340162471e-05 0.00017609485075809062 0.003148898482322693 0.037015024572610855 0.9672123789787292 9.28045337786898e-05
    1.2.826.0.1.3680043.8.498.10709881012670473306590210882514424202 0.00040009207441471517 0.0004587127477861941 0.0006268745055422187 0.0007524884422309697 0.0011781028006225824 0.00011897217336809263 0.0017307978123426437 0.019475622102618217 0.5688465237617493 0.4598332345485687 0.0002697863965295255
    1.2.826.0.1.3680043.8.498.10138360083719854309701843313231633460 0.0004589756135828793 0.0010151576716452837 0.00227305362932384 0.0013801479944959283 0.0014537058304995298 0.002341384533792734 0.0007604380371049047 0.025394773110747337 0.22130489349365234 0.8692711591720581 0.0004406958760228008
    1.2.826.0.1.3680043.8.498.79248761728621242440085407094784850631 0.00020328846585471183 0.00035193018265999854 0.0006512034451588988 0.00026241177693009377 0.0004480360075831413 0.0002918272220995277 0.0003522724728100002 0.03006802126765251 0.04424697905778885 0.9470097422599792 0.0001249341876246035
    1.2.826.0.1.3680043.8.498.47209563478124725925845681096738311350 0.00022166474082041532 0.0002433729823678732 0.0003044758050236851 0.0003268581349402666 0.0004821948241442442 6.843653682153672e-05 0.00047243418521247804 0.10991936922073364 0.4477822184562683 0.6267980933189392 0.000262622837908566
    1.2.826.0.1.3680043.8.498.71767212795583546376377461948407948553 0.0003529202367644757 0.0002636105928104371 0.00042373972246423364 0.000851334654726088 0.0008083839202299714 0.0002717689785640687 0.00023392715957015753 0.02937506139278412 0.16932739317417145 0.8221789598464966 0.00028130406280979514
    1.2.826.0.1.3680043.8.498.74246988293807339404612369340948101739 0.001179480692371726 0.001771208131685853 0.0021631205454468727 0.0021074232645332813 0.003816333832219243 0.0006979107856750488 0.01145479828119278 0.34801530838012695 0.4969479441642761 0.30448293685913086 0.0021298867650330067
    1.2.826.0.1.3680043.8.498.36756410177456868768425087511300031276 0.0026076294016093016 0.007611279375851154 0.003558088792487979 0.00466520432382822 0.009202998131513596 0.0027716122567653656 0.21772432327270508 0.1391063630580902 0.09601639211177826 0.8795019388198853 0.0051458971574902534
    1.2.826.0.1.3680043.8.498.69917661829639929212228870048534617393 0.00015959484153427184 7.14141278876923e-05 8.292665734188631e-05 0.0005210564704611897 0.0002320900821359828 0.00010715173266362399 6.309535092441365e-05 0.005722398869693279 0.0427188016474247 0.9642496109008789 0.00011181175068486482
    1.2.826.0.1.3680043.8.498.53211840524738036417560823327351887819 0.0003569310938473791 0.0005896197399124503 0.0004822799819521606 0.00043187825940549374 0.0008096566307358444 0.0001442867360310629 0.002043643267825246 0.33296018838882446 0.3464812934398651 0.4949902892112732 0.0005260213511064649
    1.2.826.0.1.3680043.8.498.54274957553034173796718450673229661321 0.0009906174382194877 0.0015916848788037896 0.00181295326910913 0.0034950021654367447 0.001757401623763144 0.004139923490583897 0.001503797946497798 0.28754839301109314 0.4806942939758301 0.39708900451660156 0.002120897639542818
    1.2.826.0.1.3680043.8.498.93383122940029062365611293920632881949 0.00014173131785355508 9.302148828282952e-05 0.00012228827108629048 0.00016542105004191399 0.0001980259985430166 7.309682405320928e-05 0.0001026493264362216 0.025020640343427658 0.09243805706501007 0.88506680727005 9.77615563897416e-05
    1.2.826.0.1.3680043.8.498.79429324604539199658646037157840543610 0.00010910425044130534 7.432818529196084e-05 0.00011899737000931054 0.00016121621592901647 0.00015240247012116015 6.805712473578751e-05 6.914140249136835e-05 0.01566162332892418 0.11991605907678604 0.8924482464790344 9.512712858850136e-05
    1.2.826.0.1.3680043.8.498.12431331833213643930386455470023941147 0.00046128485701046884 0.0006325722788460553 0.0004885920789092779 0.0003986673546023667 0.0008511304622516036 5.719327600672841e-05 0.001052843639627099 0.38034701347351074 0.2866858243942261 0.38404303789138794 0.000439540424849838
    1.2.826.0.1.3680043.8.498.12403141642984506823307905666331538614 0.003429766744375229 0.008262859657406807 0.0025111709255725145 0.00673476979136467 0.031264327466487885 0.01880805194377899 0.9360362887382507 0.04510921612381935 0.4093896746635437 0.8643666505813599 0.003973446786403656
    1.2.826.0.1.3680043.8.498.43950476868919991369795560419394814883 0.007227911613881588 0.06413052976131439 0.9412915110588074 0.1331012099981308 0.05191774293780327 0.32044869661331177 0.05104412883520126 0.09361181408166885 0.21386417746543884 0.5672447681427002 0.041334547102451324
    1.2.826.0.1.3680043.8.498.10617805916280066803168467509209094194 0.00033387984149158 0.0005543004954233766 0.0014147537294775248 0.0011938621755689383 0.001350590493530035 0.0012920895824208856 0.005591598805040121 0.008334935642778873 0.041438743472099304 0.9756323099136353 0.00036106104380451143
    1.2.826.0.1.3680043.8.498.76020254464269374994521356234388905537 0.0007511537405662239 0.000919914513360709 0.0007036702008917928 0.0007939612260088325 0.00151869747787714 0.00022634952620137483 0.004271415062248707 0.21058769524097443 0.09887633472681046 0.7664406895637512 0.0007796192658133805
    1.2.826.0.1.3680043.8.498.22049999081517682381576211497329554796 9.530989336781204e-05 7.448256656061858e-05 0.00016352224338334054 0.00017424191173631698 0.00023217180569190532 3.410231875022873e-05 0.00017865761765278876 0.004331501200795174 0.04794531688094139 0.9641221761703491 5.008520747651346e-05
    1.2.826.0.1.3680043.8.498.50317676773318095476450944602594798751 0.0001240000274265185 0.00012236478505656123 0.00032996415393427014 0.0002696079609449953 0.00035328889498487115 4.31411353929434e-05 0.0001948700228240341 0.003014765214174986 0.013120105490088463 0.9873803853988647 4.9412530643166974e-05
    1.2.826.0.1.3680043.8.498.12994013141985340816770547387469768893 0.00043977011227980256 0.0005557460826821625 0.0015202388167381287 0.001371182850562036 0.0007963672396726906 0.008668315596878529 0.00022220387472771108 0.05511666089296341 0.27791139483451843 0.7085443735122681 0.000556845567189157
    1.2.826.0.1.3680043.8.498.10023687805200508996157792739876916365 0.0003932612016797066 0.000337412377120927 0.0004811829421669245 0.00047863536747172475 0.0006058493163436651 6.941647734493017e-05 0.0009802189888432622 0.020924674347043037 0.13811421394348145 0.8290874361991882 0.0002652654657140374
    1.2.826.0.1.3680043.8.498.38908371842132268567038327947507936527 0.00023918822989799082 0.000189601763850078 0.0001608690363354981 0.00040978798642754555 0.00038648652844130993 6.695480988128111e-05 0.00018193891446571797 0.0073381951078772545 0.04728754609823227 0.965897262096405 0.0001393322745570913
    1.2.826.0.1.3680043.8.498.40339988912268863524112878288706208289 0.00019016320584341884 0.0001705776812741533 0.00012088464427506551 0.00030218609026633203 0.00041884867823682725 2.480227340129204e-05 0.0004096232005394995 0.024303093552589417 0.3971530497074127 0.6620222330093384 0.00014620622096117586
    1.2.826.0.1.3680043.8.498.25852734963116817014714488689110484376 0.000357070384779945 0.0005300370394252241 0.0003947436925955117 0.000418730138335377 0.000807084608823061 6.60629739286378e-05 0.00434653926640749 0.06554321944713593 0.10613268613815308 0.8592283129692078 0.00036642514169216156
    1.2.826.0.1.3680043.8.498.30372720907231767845575262826406595259 0.0006899801082909107 0.0007301486330106854 0.0008345277165062726 0.0010253755608573556 0.0016757592093199492 0.00010172690963372588 0.004890064243227243 0.22386041283607483 0.4032807946205139 0.408689022064209 0.0017416831105947495
    1.2.826.0.1.3680043.8.498.54688867224985832687058677602340114134 0.00041988393059000373 0.0002838621730916202 0.00027682073414325714 0.0006854946841485798 0.0007583282422274351 0.00013041510828770697 0.0008881436660885811 0.03944014757871628 0.10268329083919525 0.8800508379936218 0.0003240642254240811
    1.2.826.0.1.3680043.8.498.39217561670345651466822631803988965438 0.0008339642663486302 0.0027022981084883213 0.005916610360145569 0.001079100533388555 0.0021087503992021084 0.00023506763682235032 0.07315097749233246 0.03058764338493347 0.10676293075084686 0.9127066731452942 0.004683185368776321
    1.2.826.0.1.3680043.8.498.20297468367935576411607830223838567482 0.008120758458971977 0.17541226744651794 0.5947798490524292 0.013524373061954975 0.04605584219098091 0.0053561688400805 0.728083610534668 0.16381141543388367 0.4094541668891907 0.35681232810020447 0.002594482619315386
    1.2.826.0.1.3680043.8.498.20919697810917291720369623916128850991 0.0017328945687040687 0.006430929061025381 0.005236852914094925 0.001520492834970355 0.006486004684120417 0.00020695039711426944 0.3280239701271057 0.04547347128391266 0.17738066613674164 0.7901633977890015 0.0008727030945010483
    1.2.826.0.1.3680043.8.498.41798865598989267307038420295090212369 0.0003978635068051517 0.00028614900656975806 0.00035144315916113555 0.0008066424052231014 0.0002823882387019694 0.0008634811965748668 8.719014294911176e-05 0.13540461659431458 0.13746191561222076 0.7329034209251404 0.00041913994937203825
    1.2.826.0.1.3680043.8.498.65641428500841634144006659693100084603 0.006022012326866388 0.08806966245174408 0.835800051689148 0.021103419363498688 0.059905875474214554 0.37333011627197266 0.18791070580482483 0.08393006026744843 0.3368833065032959 0.6038550138473511 0.0032210119534283876
    1.2.826.0.1.3680043.8.498.88141541714563699962239576522959318854 0.0002637055586092174 0.00021551389363594353 0.0003058528818655759 0.00048140372382476926 0.00044131200411356986 0.0003549937391653657 0.000255478429608047 0.06712598353624344 0.4521850049495697 0.5603190660476685 0.00022875559807289392
    1.2.826.0.1.3680043.8.498.15167714420818260908186332052933580783 0.00012395813246257603 0.00018680692301131785 0.00022702815476804972 0.0003409433993510902 0.00015008231275714934 0.0005587469204328954 5.794519165647216e-05 0.060423433780670166 0.8396407961845398 0.354592502117157 0.0002754590823315084
    1.2.826.0.1.3680043.8.498.39286501793174968031376438232980309951 0.0034095190931111574 0.014582224190235138 0.10832884162664413 0.019864369183778763 0.004793272353708744 0.10384712368249893 0.002870451658964157 0.03408927097916603 0.10758411884307861 0.913845419883728 0.3965066075325012
    1.2.826.0.1.3680043.8.498.71054189240706383941027418414053242485 0.00030423596035689116 0.00034024554770439863 0.0004101360682398081 0.00029067834839224815 0.00047393207205459476 0.00012144811626058072 0.0010795360431075096 0.12240020185709 0.1029261127114296 0.8065984845161438 0.0002172408567275852
    1.2.826.0.1.3680043.8.498.69450646590123883736983704075660099672 0.00019157127826474607 0.0014040437527000904 0.9889874458312988 0.006659261882305145 0.029601072892546654 0.034574080258607864 0.030177157372236252 0.010942255146801472 0.031148141250014305 0.9708968997001648 0.000101908364740666
    1.2.826.0.1.3680043.8.498.10806671709273563720907076308415302900 0.0003395837848074734 0.0002576428232714534 0.00031104785739444196 0.0006073167314752936 0.0008498824900016189 9.24173291423358e-05 0.00033249746775254607 0.027712304145097733 0.06789219379425049 0.9153444170951843 0.00025832344545051455
    1.2.826.0.1.3680043.8.498.41841866367463571486394004689136405935 0.0008308080141432583 0.001552737201564014 0.002596573904156685 0.001857039867900312 0.0024523583706468344 0.0027773254550993443 0.002265354385599494 0.061146754771471024 0.4910105764865875 0.48230117559432983 0.0006659585633315146
    1.2.826.0.1.3680043.8.498.41868326460333509011519111591592355858 0.00016325499746017158 0.00019668135792016983 0.00021350053430069238 0.00032760604517534375 0.000344609550666064 0.00011467964213807136 0.00017326876695733517 0.009413686580955982 0.22097261250019073 0.8333052396774292 0.00010696626122808084
    1.2.826.0.1.3680043.8.498.21944544216282980495767889851981051194 0.00017777916218619794 0.00026666087796911597 0.0008424014085903764 0.0008771753637120128 0.00026672257808968425 0.002571261487901211 7.529539288952947e-05 0.015084609389305115 0.10088843107223511 0.9173110127449036 0.00018621693016029894
    1.2.826.0.1.3680043.8.498.67978335009069457248883672893914470833 0.00021460140123963356 0.00018132131663151085 0.00023246582713909447 0.0004848197568207979 0.00047655421076342463 0.00023498300288338214 0.0002612518728710711 0.014654790982604027 0.084572434425354 0.9194780588150024 0.0001605189172551036
    1.2.826.0.1.3680043.8.498.79189549325926570977535745442686052567 0.00023293017875403166 0.00013067534018773586 0.0002319189952686429 0.0003796912787947804 0.0005170867079868913 8.62371816765517e-05 0.00016479313489980996 0.01711587980389595 0.07754404842853546 0.8871278762817383 0.00016570008301641792
    1.2.826.0.1.3680043.8.498.38062281627430393014319399441949870773 0.0005117267137393355 0.00048646843060851097 0.0008455783827230334 0.0006555604632012546 0.0014552322681993246 8.964775042841211e-05 0.0012963138287886977 0.026118259876966476 0.19550806283950806 0.7719753384590149 0.00035559345269575715
    1.2.826.0.1.3680043.8.498.64020083976134297684212338051608880563 0.00016977789346128702 0.0001191585324704647 0.00027002516435459256 0.0002843054535333067 0.00022255319345276803 0.0002019375388044864 6.301005487330258e-05 0.03195248916745186 0.02138330228626728 0.935223400592804 9.531964315101504e-05
    1.2.826.0.1.3680043.8.498.49251860077221624602344797897612150617 0.00027357303770259023 0.00037757953396067023 0.00042877555824816227 0.0006326611619442701 0.0007740035653114319 0.00023703370243310928 0.0008859283989295363 0.02225874364376068 0.018557028844952583 0.9776827096939087 0.0001233666407642886
    1.2.826.0.1.3680043.8.498.59414621389414121158569801861577394592 0.0008561783470213413 0.0006602901266887784 0.0015154556604102254 0.0024246382527053356 0.003364766016602516 0.0016305139288306236 0.0020907060243189335 0.05240471288561821 0.07869890332221985 0.8794089555740356 0.0006992936250753701
    1.2.826.0.1.3680043.8.498.91415696391893275658105997849665684427 0.00027388654416427016 0.00018987516523338854 0.0002162882883567363 0.0006080485181882977 0.00022012092813383788 0.000531109340954572 5.838907236466184e-05 0.10487346351146698 0.14865875244140625 0.7391657829284668 0.00023491648607887328
    1.2.826.0.1.3680043.8.498.29122668338586877268827883707055008621 0.00023342578788287938 0.0003214770113117993 0.0005507780006155372 0.0007515805191360414 0.00020622771990019828 0.002236353699117899 4.65763223473914e-05 0.08311041444540024 0.6168557405471802 0.3450341522693634 0.00042021003901027143
    1.2.826.0.1.3680043.8.498.10691703477755577218391159786204077232 0.0002729545230977237 0.0002681731421034783 0.0004062478546984494 0.000868127855937928 0.00031232868786901236 0.0008186480263248086 7.794308476150036e-05 0.026917224749922752 0.15266786515712738 0.9021545648574829 0.00027859568945132196
    1.2.826.0.1.3680043.8.498.26831081823977032727633182882104916648 0.00035226313048042357 0.00027242093347012997 0.0003711905446834862 0.0007416959851980209 0.0008046144503168762 0.00017512167687527835 0.0002649822272360325 0.2744428515434265 0.5177209377288818 0.2533741593360901 0.00038723144098185003
    1.2.826.0.1.3680043.8.498.37311261303969365299501122213880274430 0.00034947259700857103 0.00041612060158513486 0.0003368310572113842 0.000399444077629596 0.0006258227513171732 1.8943323084386066e-05 0.005532722920179367 0.14132504165172577 0.5788934230804443 0.34479600191116333 0.00029485192499123514
    1.2.826.0.1.3680043.8.498.62552875107350687778783818842449936806 0.0004818908346351236 0.00048945436719805 0.00107156066223979 0.0013617228250950575 0.0011920226970687509 0.0004580266831908375 0.0003630387072917074 0.0728423148393631 0.3061692714691162 0.6036574840545654 0.00041494035394862294
    1.2.826.0.1.3680043.8.498.33510942310541535780390025860966272616 0.00023805498494766653 0.0002698191092349589 0.00029351311968639493 0.000318762642564252 0.0003954479470849037 0.0001574742782395333 0.0003813396324403584 0.02813011407852173 0.05533353239297867 0.9145391583442688 0.00019508642435539514
    1.2.826.0.1.3680043.8.498.86937481382732518829655797297707103712 0.00045071757631376386 0.00029945667483843863 0.0003907647915184498 0.000775202177464962 0.0011505113216117024 9.951290121534839e-05 0.0003661918453872204 0.017572950571775436 0.13359412550926208 0.8114908337593079 0.0002906137960962951
    1.2.826.0.1.3680043.8.498.25344832794024036505095440313679516576 0.005001863464713097 0.02934623323380947 0.016415242105722427 0.005027134902775288 0.019898250699043274 0.003380493726581335 0.9734293818473816 0.3199743628501892 0.4500836431980133 0.21689191460609436 0.0023980431724339724
    1.2.826.0.1.3680043.8.498.77587339854162245688036962258672498096 0.0002605767804197967 0.00017199506692122668 0.00016246324230451137 0.0006091927643865347 0.00028858068981207907 0.0003232341550756246 7.345678750425577e-05 0.02137121371924877 0.20294901728630066 0.7989510297775269 0.00031890009995549917
    1.2.826.0.1.3680043.8.498.70517120117362710177859696579270943549 0.0017237256979569793 0.002065601060166955 0.0022351332008838654 0.004517426248639822 0.008907055482268333 0.003273928537964821 0.01928785629570484 0.3069973886013031 0.2379702627658844 0.33820459246635437 0.0006156511371955276
    1.2.826.0.1.3680043.8.498.60298296425233698650988896940400603754 0.0005042998236604035 0.0011460655368864536 0.0019108278211206198 0.0021122493781149387 0.0010476321913301945 0.0056182765401899815 0.00032981697586365044 0.022527486085891724 0.05725937336683273 0.9413806796073914 0.00044680797145701945
    1.2.826.0.1.3680043.8.498.44000542825080850962825955844753603883 0.00020866820705123246 0.00021046344772912562 0.0002680407778825611 0.00033763059764169157 0.00033869786420837045 9.350827895104885e-05 0.00021062434825580567 0.08814841508865356 0.6159946918487549 0.27257224917411804 0.00020521480473689735
    1.2.826.0.1.3680043.8.498.70252822381187858680235636418546179455 0.00036374968476593494 0.0003417654661461711 0.0001964774855878204 0.0005676617147400975 0.000292234675725922 0.0007313479436561465 6.848893826827407e-05 0.48838919401168823 0.37273821234703064 0.25838205218315125 0.0007273030350916088
    1.2.826.0.1.3680043.8.498.11005699307647737131038346811975124229 0.0001473793963668868 0.0001016925452859141 0.00018883995653595775 0.0003392586368136108 0.00027613219572231174 0.00012376895756460726 0.00014419746003113687 0.005499434657394886 0.040616609156131744 0.9716102480888367 9.932676039170474e-05
    1.2.826.0.1.3680043.8.498.10694352419500456727368090885780827302 0.00017497535736765712 0.00019885707297362387 0.00023736924049444497 0.0003398264816496521 0.00015946259372867644 0.0006254672771319747 5.896719449083321e-05 0.06356405466794968 0.24323520064353943 0.7135692834854126 0.00031297473469749093
    1.2.826.0.1.3680043.8.498.31644302139256507960440147624302652419 0.00013320959988050163 0.00013634024071507156 0.0002456846705172211 0.00022882262419443578 0.00030751535086892545 4.7289089707192034e-05 0.00021317286882549524 0.00782450195401907 0.04214443638920784 0.9778845906257629 5.929456528974697e-05
    1.2.826.0.1.3680043.8.498.98167668026904307772394716160120555692 0.0002935200172942132 0.00023424718528985977 0.00025095249293372035 0.0004186095320619643 0.0006345871370285749 7.539799844380468e-05 0.00039456941885873675 0.029235759750008583 0.21194569766521454 0.8144241571426392 0.00023427097767125815
    1.2.826.0.1.3680043.8.498.76227335278965578643976657893016112591 9.896147821564227e-05 7.434459257638082e-05 0.0004238532856106758 0.0005519178812392056 0.0002971565700136125 0.0003025360347237438 8.32911318866536e-05 0.00612557353451848 0.014256375841796398 0.9736698865890503 9.778143430594355e-05
    1.2.826.0.1.3680043.8.498.10730204682703630124409875999444617119 0.0005717634921893477 0.00040310443728230894 0.00028538136393763125 0.0010404360946267843 0.0007856698939576745 0.0007793668773956597 0.0001433695579180494 0.8202604055404663 0.18682357668876648 0.15072506666183472 0.0009497374412603676
    1.2.826.0.1.3680043.8.498.10072307081532706796443117432097582913 0.0001533277827547863 0.0018537271535024047 0.9965196847915649 0.004084366373717785 0.02633945271372795 0.0014086223673075438 0.18726792931556702 0.10071613639593124 0.2617641091346741 0.6268348693847656 0.0008367930422537029
    1.2.826.0.1.3680043.8.498.11811164904565315224177263310883071082 0.006643141154199839 0.07089973241090775 0.5907629132270813 0.01735953614115715 0.06394384801387787 0.286299467086792 0.649072527885437 0.07020522654056549 0.4420393109321594 0.6768368482589722 0.004037551581859589
    1.2.826.0.1.3680043.8.498.45185370463242414625685894773930238677 0.0006357961101457477 0.0007006412488408387 0.001131571945734322 0.0012581016635522246 0.0018858670955523849 0.0005411704769358039 0.0013237387174740434 0.09366796165704727 0.54167240858078 0.5490725040435791 0.0005814518081024289
    1.2.826.0.1.3680043.8.498.11219409745283634287434543422510376044 0.00011609656212385744 6.308486626949161e-05 9.657902410253882e-05 0.0001978661894099787 0.00019459931354504079 3.260053199483082e-05 5.405421325122006e-05 0.008040218614041805 0.059383101761341095 0.9549797773361206 7.525764522142708e-05
    1.2.826.0.1.3680043.8.498.21406477078174073712988648545957372820 0.00030004477594047785 0.00024099540314637125 0.0002169512736145407 0.0006965845241211355 0.0002754116430878639 0.0008869220619089901 5.062824857304804e-05 0.061710841953754425 0.3073422908782959 0.6956696510314941 0.00039405011921189725
    1.2.826.0.1.3680043.8.498.62071336464158681345690454763475895689 0.00036623133928515017 0.001056782784871757 0.0019425848731771111 0.0014250800013542175 0.0004248250334057957 0.005902974866330624 0.00011969250772381201 0.16915269196033478 0.6639382243156433 0.6048693060874939 0.000686244573444128
    1.2.826.0.1.3680043.8.498.66431555412445105549574146713370338187 0.0004529228899627924 0.00044057253398932517 0.00041940296068787575 0.0008646089700050652 0.000680202734656632 0.00047155036008916795 0.00021023035515099764 0.02916015312075615 0.46778711676597595 0.520420253276825 0.0002770683204289526
    1.2.826.0.1.3680043.8.498.12014302506832129935470566400380060658 0.013481947593390942 0.33472102880477905 0.4991987347602844 0.0015195111045613885 0.01202076580375433 0.001104956609196961 0.9872618913650513 0.48865777254104614 0.4846387803554535 0.4705704152584076 0.002942533465102315
    1.2.826.0.1.3680043.8.498.33243432771120926415712098216619419822 0.0001175090073957108 7.94280058471486e-05 9.568112000124529e-05 0.000171266176039353 0.00018290718435309827 4.365700442576781e-05 6.663050589850172e-05 0.010079286992549896 0.23480716347694397 0.8347867131233215 0.00011336580791976303
    1.2.826.0.1.3680043.8.498.33109806582061648059893227010308331315 0.0003043384349439293 0.00042978720739483833 0.00040271179750561714 0.0006274897023104131 0.0007047659601084888 0.00011263143824180588 0.00044628450996242464 0.14901375770568848 0.7765341997146606 0.1622706651687622 0.0002856668725144118
    1.2.826.0.1.3680043.8.498.73369887212380189597054554723145292712 0.0002406100684311241 0.0002425917482469231 0.0003077790606766939 0.0003108125238213688 0.00041844346560537815 0.00021224743977654725 0.0012648665579035878 0.203670471906662 0.1927746832370758 0.6662713289260864 0.00033772113965824246
    1.2.826.0.1.3680043.8.498.72338844836455195429375245595395333948 0.0005054950597696006 0.0007263477309606969 0.001063865376636386 0.0008637915598228574 0.0018903769087046385 0.00014793043374083936 0.0023175952956080437 0.01139791402965784 0.08285240828990936 0.9283283352851868 0.0003139252366963774
    1.2.826.0.1.3680043.8.498.13897637454772623349648552130558536626 0.0008750138804316521 0.005034926347434521 0.9962348937988281 0.019329402595758438 0.05095010995864868 0.019753362983465195 0.08259835094213486 0.13850395381450653 0.33869537711143494 0.687976598739624 0.001646494842134416
    1.2.826.0.1.3680043.8.498.67903074725237068139820069099256234606 0.0007950930739752948 0.0007147948490455747 0.0015680987853556871 0.0014469705056399107 0.0011458115186542273 0.0012628593249246478 0.0003124513605143875 0.08214284479618073 0.13407091796398163 0.7862932085990906 0.0006950573879294097
    1.2.826.0.1.3680043.8.498.71183202325661201662927672594114667107 0.01872408017516136 0.3987168073654175 0.670317530632019 0.02022387459874153 0.05549418926239014 0.04476919025182724 0.7365027070045471 0.05067305639386177 0.2953665852546692 0.4915894865989685 0.0010932432487607002
    1.2.826.0.1.3680043.8.498.49127531521263617129112951688530294525 0.0007057708571664989 0.002198016969487071 0.0088165532797575 0.0010633881902322173 0.0008318604668602347 0.00038642616709694266 0.0022179174702614546 0.2048412561416626 0.6346117854118347 0.3985941410064697 0.0005368118290789425
    1.2.826.0.1.3680043.8.498.48339135836763532163256776108510956753 0.004970134235918522 0.0678577721118927 0.09478309750556946 0.004733120556920767 0.015754422172904015 0.001290188287384808 0.9515145421028137 0.08708344399929047 0.3406613767147064 0.28280988335609436 0.0008877972140908241
    1.2.826.0.1.3680043.8.498.90257361913187048731178901536357764201 0.009840358048677444 0.14700902998447418 0.7966159582138062 0.008569104596972466 0.03323494642972946 0.010359072126448154 0.7201830744743347 0.045755110681056976 0.15746910870075226 0.8519023656845093 0.0022761221043765545
    1.2.826.0.1.3680043.8.498.12973807448132418721715007005048388121 0.00029594404622912407 0.0008610496297478676 0.0013892019633203745 0.0004908069968223572 0.0010812169639393687 0.00033266996615566313 0.05976559966802597 0.01199379377067089 0.06054719537496567 0.9752156138420105 0.00031969029805622995
    1.2.826.0.1.3680043.8.498.11993670736133641850958440782326790725 0.0001699708227533847 0.00016026609227992594 0.00019368351786397398 0.0003203576779924333 0.0003450115618761629 6.888931238790974e-05 0.00017526501324027777 0.015146004967391491 0.16237536072731018 0.8903365135192871 0.00010883385402848944
    1.2.826.0.1.3680043.8.498.75781679599430266837509903218728733140 0.0003514524723868817 0.000531944795511663 0.0006465106271207333 0.00047070664004422724 0.0007317941635847092 9.213139128405601e-05 0.004167556297034025 0.06339139491319656 0.37487921118736267 0.6644571423530579 0.0009554329444654286
    1.2.826.0.1.3680043.8.498.54016357255843572723121590098331988186 0.0006731971516273916 0.001276175957173109 0.000903528940398246 0.0014079215470701456 0.001296358648687601 0.0003984340000897646 0.001414616359397769 0.03046570159494877 0.23538026213645935 0.8068163990974426 0.0005219118902459741
    1.2.826.0.1.3680043.8.498.67841187629631200783572373125187056195 0.004968809429556131 0.16548681259155273 0.8568069338798523 0.008473103865981102 0.033601291477680206 0.026687854900956154 0.9097023010253906 0.1690600961446762 0.47282543778419495 0.14931854605674744 0.0012376982485875487
    1.2.826.0.1.3680043.8.498.91114044989217452474979468848666220852 0.02103354223072529 0.21023476123809814 0.271775484085083 0.03267233818769455 0.08517857640981674 0.1866351217031479 0.6113212704658508 0.0444147102534771 0.1939488649368286 0.6244813203811646 0.007597220595926046
    1.2.826.0.1.3680043.8.498.59563653099065895000058493401517590570 0.0018735367339104414 0.0026356365997344255 0.00492308521643281 0.0036198708694428205 0.006849019322544336 0.0008033224148675799 0.0122285857796669 0.31656408309936523 0.1893140822649002 0.5951444506645203 0.0015096055576577783
    1.2.826.0.1.3680043.8.498.92671794498848337011646242332496535493 0.00022059553884901106 0.00023531641636509448 0.00045202477485872805 0.0005823002429679036 0.00045823160326108336 3.4865741326939315e-05 0.0004527718701865524 0.012890269979834557 0.12046430259943008 0.8845335245132446 0.00017009192379191518
    1.2.826.0.1.3680043.8.498.15875762676479340320411389038940261131 0.00017928544548340142 0.00018298761278856546 0.00021602484048344195 0.00028604225371964276 0.0006840351270511746 2.2485801309812814e-05 0.0004501590155996382 0.003050845582038164 0.01509656198322773 0.9892589449882507 6.761587428627536e-05
    1.2.826.0.1.3680043.8.498.10928756651584338689129629573820425561 0.00039571820525452495 0.0004666921740863472 0.00038391369162127376 0.0012167644454166293 0.0005434728809632361 0.0007174478378146887 7.514559547416866e-05 0.46731966733932495 0.3187597393989563 0.28412729501724243 0.000572113087400794
    1.2.826.0.1.3680043.8.498.72766670264151036885350122877040622822 0.0006021204171702266 0.0006622319342568517 0.0006910878582857549 0.0011933062924072146 0.0016555482288822532 0.0001875288289738819 0.0009516729041934013 0.11365871131420135 0.7035629153251648 0.22757068276405334 0.0005714144208468497
    1.2.826.0.1.3680043.8.498.74376596682794809649516514567731943618 0.00015470554353669286 0.00013738992856815457 0.0001737060083542019 0.0002611041418276727 0.00021207383542787284 0.0002028401504503563 5.5544795031892136e-05 0.015565766021609306 0.169147327542305 0.8472245931625366 0.00012532407708931714
    1.2.826.0.1.3680043.8.498.98869294734969928546308926408909513978 0.00020219010184518993 0.00023384633823297918 0.00031323920120485127 0.00020803921506740153 0.0003491724783089012 0.00017457347712479532 0.0003877636627294123 0.31025221943855286 0.3748566806316376 0.2408171147108078 0.00025260672555305064
    1.2.826.0.1.3680043.8.498.49270533081868844718583057881402539574 0.0002775649481918663 0.0005482913693413138 0.000830250617582351 0.0011310810223221779 0.0008516130037605762 0.0013975072652101517 0.0008928279276005924 0.0040193661116063595 0.016564680263400078 0.9882095456123352 0.00015281248488463461
    1.2.826.0.1.3680043.8.498.78843408350249969721806990177837597161 0.0007360909366980195 0.0012377339880913496 0.0009258851641789079 0.0009792248019948602 0.001418421627022326 0.00017828188720159233 0.0019961525686085224 0.24431805312633514 0.5435822010040283 0.4132370054721832 0.0006679760990664363
    1.2.826.0.1.3680043.8.498.35196143434760980832028335481899061931 0.0004215240478515625 0.0003598484327085316 0.0004183845594525337 0.0008600550936535001 0.0008289798861369491 0.0006141673075035214 0.00019175067427568138 0.6300967335700989 0.30203431844711304 0.18829384446144104 0.0006585131050087512
    1.2.826.0.1.3680043.8.498.12440400441721641697126440167414071740 0.00014456271310336888 0.00015936420822981745 0.00030626621446572244 0.0004059610073454678 0.0007098017376847565 6.398480763891712e-05 0.0007502091466449201 0.001425944035872817 0.013558941893279552 0.9927994012832642 5.901770055061206e-05
    1.2.826.0.1.3680043.8.498.48655948491461066330168186234852065796 0.00020792653958778828 0.0001536798954475671 0.00021495306282304227 0.00038501611561514437 0.0003588531690184027 0.00018238525080960244 0.00010566031414782628 0.015214783139526844 0.2658159136772156 0.8196926116943359 0.00017699193267617375
    1.2.826.0.1.3680043.8.498.11415627501468337117072529324412740000 9.06593122635968e-05 6.781310366932303e-05 0.00010818503506015986 0.0002006292634177953 0.00010969034337904304 0.00023684996995143592 1.8610757251735777e-05 0.02711258828639984 0.2344369888305664 0.7636085748672485 0.00010975409531965852
    1.2.826.0.1.3680043.8.498.82898423060482760492763288741951533176 0.00014669478696305305 9.440701978746802e-05 0.00011283178173471242 0.00032818503677845 0.00025479684700258076 0.00020293917623348534 5.405792035162449e-05 0.021021442487835884 0.6060581803321838 0.4102725088596344 0.00018675238243304193
    1.2.826.0.1.3680043.8.498.37329851082023377685017683332832814038 0.00044208235340192914 0.0004324402252677828 0.0003222621453460306 0.0007472954457625747 0.001394648919813335 5.523744039237499e-05 0.002525654621422291 0.37480220198631287 0.3574191927909851 0.2777968943119049 0.0009543605265207589
    1.2.826.0.1.3680043.8.498.77802759344568561444580493394566015953 0.0007014140137471259 0.0005828166613355279 0.0006365383742377162 0.0013763436581939459 0.001241191173903644 0.0003610007115639746 0.00095072400290519 0.06271632015705109 0.07362256944179535 0.8541692495346069 0.0004448741674423218
    1.2.826.0.1.3680043.8.498.10727804672175712681520651621518102220 0.02436455711722374 0.3588378429412842 0.6066699028015137 0.015131397172808647 0.047624167054891586 0.046433765441179276 0.6432920694351196 0.11633181571960449 0.39104801416397095 0.709109902381897 0.006121326703578234
    1.2.826.0.1.3680043.8.498.21529418802575186553290175061088248047 0.005177848041057587 0.018922405317425728 0.013717049732804298 0.009605095721781254 0.034143056720495224 0.0255625881254673 0.883862316608429 0.03457093611359596 0.1925174444913864 0.9085003137588501 0.0042388224974274635
    1.2.826.0.1.3680043.8.498.10220778026354081231030528067934551992 0.00043963227653875947 0.00035847994149662554 0.0003624307573772967 0.0005747369141317904 0.0006523175397887826 0.00017262567416764796 0.0005174552788957953 0.10529283434152603 0.2936013340950012 0.616064190864563 0.0003388646000530571
    1.2.826.0.1.3680043.8.498.87672303694878653617111766700707976719 0.0001364755880786106 9.21526734600775e-05 0.00012311497994232923 0.00025450240354985 0.00016195459465961903 0.00015067147614900023 4.2958155972883105e-05 0.010847327299416065 0.029824653640389442 0.974608302116394 6.418903649318963e-05
    1.2.826.0.1.3680043.8.498.10369889209915984093280165152085087285 0.00034478757879696786 0.00041975491330958903 0.0003247788408771157 0.0007252399809658527 0.000678212963975966 8.087307651294395e-05 0.00038246269105002284 0.19361737370491028 0.5637023448944092 0.5540632009506226 0.0004975260817445815
    1.2.826.0.1.3680043.8.498.82919875570855053733210328220848077144 0.0006143493810668588 0.0006325202994048595 0.0014545375015586615 0.0016016900772228837 0.0016088651027530432 0.0007966853445395827 0.0010574755724519491 0.021733514964580536 0.6756247282028198 0.5557451844215393 0.0007544677355326712
    1.2.826.0.1.3680043.8.498.12247700043996967864097940022715569376 7.174182974267751e-05 6.361651321640238e-05 0.00014557538088411093 0.00019900547340512276 0.00024676515022292733 4.3733540223911405e-05 8.592855010647327e-05 0.0021032686345279217 0.016886301338672638 0.9875749349594116 2.6624755264492705e-05
    1.2.826.0.1.3680043.8.498.77268270179291460781643711515996129224 0.0003000680007971823 0.00022613459441345185 0.0003433126548770815 0.0005711010890081525 0.0005709220422431827 0.00016024320211727172 0.0003358167305123061 0.06969006359577179 0.43675103783607483 0.6830515265464783 0.000315532844979316
    1.2.826.0.1.3680043.8.498.11683100782235625460147785003352881194 0.00044218689436092973 0.0007001337362453341 0.000713396118953824 0.0005578089621849358 0.0009318891679868102 0.0001348147343378514 0.0012616643216460943 0.09676014631986618 0.7256089448928833 0.3158945143222809 0.00035825936356559396
    1.2.826.0.1.3680043.8.498.10026210620175977585798545891885311195 0.0009077340364456177 0.0023836293257772923 0.0024659333284944296 0.0008754982845857739 0.0017477155197411776 0.00033806197461672127 0.056300342082977295 0.3070661425590515 0.46792179346084595 0.40082287788391113 0.0010442922357469797
    1.2.826.0.1.3680043.8.498.12475334287210977140172691428186327103 0.00014809335698373616 0.00011258271842962131 0.00017468046280555427 0.00026038719806820154 0.00035615148954093456 3.3010594052029774e-05 0.0009342822013422847 0.005092818755656481 0.02526710368692875 0.9796433448791504 7.124956755433232e-05
    1.2.826.0.1.3680043.8.498.61076684024224674012885538100291450546 0.004571474157273769 0.009287051856517792 0.020378481596708298 0.07946798950433731 0.0681043490767479 0.8341038823127747 0.11759889125823975 0.03258376568555832 0.16327831149101257 0.7208514213562012 0.005706600844860077
    1.2.826.0.1.3680043.8.498.76625281981404737938516651739531401498 0.0004519729991443455 0.0007772153476253152 0.0008471077308058739 0.0007456207531504333 0.0016502502840012312 5.846705607837066e-05 0.003104980569332838 0.0672285407781601 0.0392129011452198 0.9320275187492371 0.0002420203818473965
    1.2.826.0.1.3680043.8.498.50797682066651945045029749482723253285 0.003806639462709427 0.0072072958573699 0.005963870324194431 0.010889817029237747 0.039523884654045105 0.040194761008024216 0.9414352178573608 0.03810570389032364 0.22328706085681915 0.792438805103302 0.0018003105651587248
    1.2.826.0.1.3680043.8.498.11721055576242964749106943961867266322 0.0003988794924225658 0.0003189367998857051 0.00042268657125532627 0.0005788080161437392 0.0009617145406082273 6.305872375378385e-05 0.00043253329931758344 0.02383333630859852 0.14271962642669678 0.8583970069885254 0.0002530267520342022
    1.2.826.0.1.3680043.8.498.11367399334160294605913379559640872012 0.00174138939473778 0.0024545351043343544 0.002305153291672468 0.0059755039401352406 0.027052979916334152 0.006907275412231684 0.5324230194091797 0.015701964497566223 0.10868875682353973 0.9176913499832153 0.0009840003913268447
    1.2.826.0.1.3680043.8.498.12708702035264573351524961990511206938 0.0010210953187197447 0.0017188340425491333 0.0018014298984780908 0.002350564580410719 0.002776310546323657 0.0007387395016849041 0.0019836830906569958 0.04903341457247734 0.38729485869407654 0.7305718660354614 0.0011942231794819236
    1.2.826.0.1.3680043.8.498.57705813807236460970170290991238372468 0.009987151250243187 0.24178269505500793 0.6983035802841187 0.0066587915644049644 0.02413337305188179 0.014663653448224068 0.8790615200996399 0.053163815289735794 0.3122926354408264 0.8611504435539246 0.0030062345322221518
    1.2.826.0.1.3680043.8.498.13150744937514917400225898891609309308 0.00012649409472942352 9.639149357099086e-05 0.00010255499364575371 0.00019714655354619026 0.00013343311729840934 0.0001110470257117413 8.695780707057565e-05 0.014794483780860901 0.11335407197475433 0.8517969250679016 9.400370618095621e-05
    1.2.826.0.1.3680043.8.498.87168313296779710900561011862864577729 0.0001699990389170125 0.00013193320774007589 0.00017549379845149815 0.00035362987546250224 0.0004124540719203651 4.702947262558155e-05 0.00014483326231129467 0.007141920737922192 0.02723805047571659 0.9751446843147278 7.684483716730028e-05
    1.2.826.0.1.3680043.8.498.26940223530808695114852055580453821401 0.0006399584235623479 0.001319396891631186 0.001129315816797316 0.0013936948962509632 0.0024867993779480457 9.098520240513608e-05 0.006275744177401066 0.5551334619522095 0.5978904366493225 0.11102919280529022 0.0008875938365235925
    1.2.826.0.1.3680043.8.498.11296504871895828841529119835458660221 0.0005763632361777127 0.00043636030750349164 0.0007013531285338104 0.0008603002061136067 0.0012600653572008014 0.000293593795504421 0.0005707732634618878 0.08828898519277573 0.16403189301490784 0.7547441720962524 0.00042584369657561183
    1.2.826.0.1.3680043.8.498.68220366508939408272890765415016048218 0.0003929653321392834 0.00043375082896091044 0.00045774062164127827 0.0014992582146078348 0.0006291077588684857 0.0024776854552328587 0.00021279501379467547 0.02119497023522854 0.07467051595449448 0.9417789578437805 0.0003591577406041324
    1.2.826.0.1.3680043.8.498.37720425340375777570819177880610189365 0.0002673867857083678 0.0006101546459831297 0.0007710644276812673 0.0004358237492851913 0.0006122780032455921 0.00012863898882642388 0.0018110154196619987 0.006198935676366091 0.1019430011510849 0.9317750930786133 0.00016557722119614482
    1.2.826.0.1.3680043.8.498.12190268303714581650632360833443384524 0.0005853710463270545 0.00048094140947796404 0.0005239367019385099 0.000931092887185514 0.0007589135784655809 0.0003558657190296799 0.0005423784023150802 0.07988661527633667 0.4415554106235504 0.448336660861969 0.00041385189979337156
    1.2.826.0.1.3680043.8.498.10108090900373335477094913994805173771 0.00024617943563498557 0.0003047149511985481 0.00021504881442524493 0.00023122022685129195 0.00043326494051143527 3.9368194848066196e-05 0.0004902176442556083 0.1435897946357727 0.4768825173377991 0.46756014227867126 0.00024092011153697968
    1.2.826.0.1.3680043.8.498.95814725756838594874269929103684903436 0.0006817315006628633 0.0005935452645644546 0.0004615849757101387 0.0010937906336039305 0.0011676930589601398 0.0004490278079174459 0.000853482517413795 0.37195295095443726 0.11464445292949677 0.6767546534538269 0.0007695032400079072
    1.2.826.0.1.3680043.8.498.10026583636909122131593781881553674064 0.03386421501636505 0.3940763473510742 0.5462552309036255 0.02169470116496086 0.05368591472506523 0.43450936675071716 0.5135029554367065 0.11018278449773788 0.577828049659729 0.6912051439285278 0.0068098753690719604
    1.2.826.0.1.3680043.8.498.81391981656753391429550647716019276489 0.0002286904928041622 0.0001536396739538759 0.0002994195674546063 0.0007951065781526268 0.0008043412817642093 8.129293564707041e-05 0.0004096152260899544 0.002274374943226576 0.013383311219513416 0.9912141561508179 9.961434261640534e-05
    1.2.826.0.1.3680043.8.498.19664861220514720870569661510248245103 0.00015545726637355983 0.00014080462278798223 0.0002481175179127604 0.00032650405773893 0.0006128950044512749 2.6401972718304023e-05 0.00029647472547367215 0.0038602587301284075 0.02751309610903263 0.9793825149536133 6.664855754934251e-05
    1.2.826.0.1.3680043.8.498.42459516816392183313267877440284057735 0.0001572502515045926 0.00014274028944782913 0.00014269197708927095 0.00021173854474909604 0.00023867814161349088 0.00016801207675598562 0.00012586190132424235 0.017760034650564194 0.08290231972932816 0.8944395780563354 0.0001035711175063625
    1.2.826.0.1.3680043.8.498.22241941291884143113564858109871630604 0.00020374071027617902 0.00021411353372968733 0.00028637307696044445 0.0004561289679259062 0.00037746602902188897 0.000371831061784178 0.00014822097728028893 0.013011137954890728 0.02871856652200222 0.9717580080032349 0.00010412246774649248
    1.2.826.0.1.3680043.8.498.44595933150360704512521469793136497274 0.00021615088917315006 0.0001574612979311496 0.00024274324823636562 0.0004605670983437449 0.0004796404391527176 0.0001566725259181112 0.00020342229981906712 0.02463993988931179 0.04449012875556946 0.9420998692512512 0.00013029167894273996
    1.2.826.0.1.3680043.8.498.40491716372909123031487956292242568937 0.00022616566275246441 0.00018787758017424494 0.00018724144320003688 0.00033800379605963826 0.0003843664308078587 4.480841016629711e-05 0.0010876924498006701 0.01753559522330761 0.165560781955719 0.8208635449409485 0.00018503054161556065
    1.2.826.0.1.3680043.8.498.10920668718956720690537727359211847366 0.00032572774216532707 0.00031300532282330096 0.0005526624736376107 0.0007785864290781319 0.0010429845424368978 0.00019196936045773327 0.0005965110613033175 0.008793720044195652 0.05381937697529793 0.9447660446166992 0.00018660625210031867
    1.2.826.0.1.3680043.8.498.23897597865779311491626747228106788263 0.0002112087095156312 0.0002482787531334907 0.0003914157277904451 0.0004339018778409809 0.0004893556470051408 0.00012588556273840368 0.00026388856349512935 0.06849329173564911 0.7614553570747375 0.47104471921920776 0.0002287238312419504
    1.2.826.0.1.3680043.8.498.59711198125148090014466838370060172237 0.0005749480915255845 0.00039153252146206796 0.0006073348340578377 0.0030116557609289885 0.0012510933447629213 0.0008901266264729202 0.0003843350277747959 0.8123377561569214 0.05045571178197861 0.21984103322029114 0.0006944037158973515
    1.2.826.0.1.3680043.8.498.17856079879939596853716789939509993291 0.00043105840450152755 0.0005466949660331011 0.0005754694575443864 0.0015604820800945163 0.0003843024605885148 0.010866579599678516 7.968510180944577e-05 0.3191445469856262 0.29658862948417664 0.4772871136665344 0.0032262043096125126
    1.2.826.0.1.3680043.8.498.11411751127016284545005102554300147276 0.0002995376125909388 0.0004129486042074859 0.0006484041223302484 0.0008199685253202915 0.000689145119395107 0.0008940828265622258 0.000311060284730047 0.011597433127462864 0.07202362269163132 0.9326444864273071 0.00028240817482583225
    1.2.826.0.1.3680043.8.498.12746340301494502429819289000652511865 0.005872456822544336 0.010001109912991524 0.011112436652183533 0.02149377018213272 0.07292483747005463 0.16906817257404327 0.7413474917411804 0.059751350432634354 0.20405034720897675 0.4393399655818939 0.0014639671426266432
    1.2.826.0.1.3680043.8.498.74318302427006345555728231654909103511 0.0004015596641693264 0.000534410763066262 0.0007288892520591617 0.000785432755947113 0.00111488439142704 8.12578946352005e-05 0.0010528780985623598 0.059638120234012604 0.37041252851486206 0.7208201289176941 0.0005163918249309063
    1.2.826.0.1.3680043.8.498.77566369786503881118481095979947698075 0.0002375673211645335 0.000233087019296363 0.0002532040816731751 0.00034814627724699676 0.0004508465062826872 0.00012236126349307597 0.00014607919729314744 0.021527806296944618 0.13406416773796082 0.8221027255058289 0.00020097258675377816
    1.2.826.0.1.3680043.8.498.58272525835712763106870484479039535048 0.00024612920242361724 0.0002579338906798512 0.00024395303626079112 0.0004412454436533153 0.0003585852973628789 0.00040430453373119235 0.0002964247833006084 0.013083526864647865 0.06796586513519287 0.9297721982002258 0.00014835534966550767
    1.2.826.0.1.3680043.8.498.21762265760203566574097579196705990894 0.0027741286903619766 0.0025603915564715862 0.003859111573547125 0.015962975099682808 0.043902166187763214 0.0479075126349926 0.1145172119140625 0.026446571573615074 0.189311683177948 0.8890661001205444 0.0029460550285875797
    1.2.826.0.1.3680043.8.498.71693797415417682323717943687293542956 0.0002480344846844673 0.0002551055804360658 0.00036361944512464106 0.0006915261619724333 0.0003831995709333569 0.0005889118765480816 9.92573332041502e-05 0.004973570816218853 0.06406406313180923 0.9538627862930298 0.0001869220577646047
    1.2.826.0.1.3680043.8.498.13383684428312383371845034186138325950 0.00030518590938299894 0.0005235947901383042 0.0004142439574934542 0.0003815343079622835 0.0004793106927536428 4.16288930864539e-05 0.00948831345885992 0.02172846533358097 0.17561733722686768 0.8100870847702026 0.00022513637668453157
    1.2.826.0.1.3680043.8.498.65044694044252308443797408604477384428 0.0005338011542335153 0.00129911198746413 0.0014153518714010715 0.000693812791723758 0.001199596794322133 0.000602125539444387 0.03181500732898712 0.010676706209778786 0.04879719763994217 0.9752691984176636 0.0007291666697710752
    1.2.826.0.1.3680043.8.498.66169936458186444081916571784520111586 0.0007338702562265098 0.0005231100367382169 0.0009213059092871845 0.0014396361075341702 0.0017766363453119993 0.0006836232496425509 0.0006325553404167295 0.07595875859260559 0.11550773680210114 0.8415542840957642 0.000570868665818125
    1.2.826.0.1.3680043.8.498.13495992883952028735853342267518136968 0.00014445543638430536 0.0002451244799885899 0.00029139139223843813 0.00028656498761847615 0.0003339795221108943 4.723760866909288e-05 0.00109355547465384 0.011331774294376373 0.0905570536851883 0.9377042651176453 7.883799844421446e-05
    1.2.826.0.1.3680043.8.498.22527787715145328235244055939396667466 0.0004107522254344076 0.0004830165416933596 0.0004331815871410072 0.0006823535659350455 0.001022874261252582 9.888005297398195e-05 0.0006147363455966115 0.035520557314157486 0.7289780378341675 0.2650439441204071 0.000346679356880486
    1.2.826.0.1.3680043.8.498.45140912134210705619286602823732277671 0.0015545065980404615 0.02325088158249855 0.876541256904602 0.010447388514876366 0.04183047637343407 0.007257143966853619 0.24259181320667267 0.05605904012918472 0.15812590718269348 0.789986789226532 0.0006714063347317278
    1.2.826.0.1.3680043.8.498.78494127544361940264260548445910628468 0.00023314054124057293 0.00017510275938548148 0.00026311681722290814 0.0004116450436413288 0.0006308679585345089 3.698244472616352e-05 0.00027224147925153375 0.00930891465395689 0.0635901540517807 0.952185332775116 0.00011649673979263753
    1.2.826.0.1.3680043.8.498.11474021010001975534846735752106426988 8.353957673534751e-05 6.27607005299069e-05 0.00011872056347783655 0.0002430017339065671 0.00022559061471838504 6.810527702327818e-05 7.9868666944094e-05 0.0015839835396036506 0.007764439098536968 0.9937490224838257 3.2217834814218804e-05
    1.2.826.0.1.3680043.8.498.15415311211340155355352358835206840656 0.0006486829370260239 0.0008265197975561023 0.001920348615385592 0.0016763977473601699 0.0016781415324658155 0.00040057027945294976 0.003536409931257367 0.05394918844103813 0.41632089018821716 0.6911177039146423 0.0006225069519132376
    1.2.826.0.1.3680043.8.498.66379852089378568193623474704502972688 0.0007050615386106074 0.0006801902200095356 0.0006157437455840409 0.00096795306308195 0.0010557272471487522 0.00018476799596101046 0.0011360228527337313 0.1937699317932129 0.1581287533044815 0.7015690207481384 0.0005113636725582182
    1.2.826.0.1.3680043.8.498.99831983305072410463580687410618843460 0.0002585413458291441 0.00024620202020742 0.0001509662251919508 0.0002776312758214772 0.00037268156302161515 2.193220097979065e-05 0.0012051111552864313 0.037935927510261536 0.2718667685985565 0.8111662864685059 0.00020622338342946023
    1.2.826.0.1.3680043.8.498.50834614680249491775459619199875329206 0.00024943589232861996 0.0002455467765685171 0.00023239967413246632 0.0003572855202946812 0.0004613321798387915 2.017755468841642e-05 0.001003145007416606 0.03385491296648979 0.20525124669075012 0.7473980188369751 0.00023638624406885356
    1.2.826.0.1.3680043.8.498.50245624530041789853836787391098128574 0.00017169151396956295 0.00013122012023814023 0.00015157691086642444 0.000244058232055977 0.0003206144319847226 3.030023981409613e-05 0.0003053446998819709 0.019009996205568314 0.0637233555316925 0.9219171404838562 0.000122659737826325
    1.2.826.0.1.3680043.8.498.14074312555371370750598904417407465145 0.0003292145556770265 0.0003333699714858085 0.0005531426868401468 0.0011611358495429158 0.00040362472645938396 0.0012124886270612478 6.530772225232795e-05 0.574260950088501 0.24139590561389923 0.2541097402572632 0.0005746233509853482
    1.2.826.0.1.3680043.8.498.10477869096556452172489953957066963633 0.0003007453924510628 0.00027039783890359104 0.0002639623708091676 0.00038807280361652374 0.0005858627846464515 8.098113175947219e-05 0.0003904621989931911 0.08661051094532013 0.25677281618118286 0.6389887928962708 0.00031238055089488626
    1.2.826.0.1.3680043.8.498.99060696634278429363664986784933938478 0.0006701798411086202 0.0006243533571250737 0.0007146530551835895 0.0016155920457094908 0.0007706409087404609 0.0028493304271250963 0.0003134293365292251 0.1246570348739624 0.4468274712562561 0.6072019338607788 0.0010230939369648695
    1.2.826.0.1.3680043.8.498.44534024233554633573364540882612651935 0.007755921687930822 0.10746049880981445 0.6849973797798157 0.02798614464700222 0.06779517233371735 0.5203894972801208 0.3615081012248993 0.025450531393289566 0.35323452949523926 0.8515876531600952 0.0037775144446641207
    1.2.826.0.1.3680043.8.498.57454263914931851582888788673731575959 0.00027453419170342386 0.0003518610610626638 0.0008711029659025371 0.0006728734588250518 0.0014838965144008398 0.00011757192260120064 0.0026586458552628756 0.003994775004684925 0.0071911499835550785 0.995632529258728 9.303585829911754e-05
    1.2.826.0.1.3680043.8.498.57818681024947316129156793357781698849 0.0003836524556390941 0.01923098787665367 0.9815057516098022 0.000932411290705204 0.010464832186698914 0.004748545587062836 0.989578366279602 0.052328526973724365 0.29685208201408386 0.7338456511497498 0.0013237508246675134
    1.2.826.0.1.3680043.8.498.97523865378982570599092224198809309057 0.0006681446684524417 0.0006335821817629039 0.0004877778119407594 0.0013753072125837207 0.0011769470293074846 0.001663083559833467 0.0004926404217258096 0.7666261792182922 0.25063467025756836 0.13499578833580017 0.002200401620939374
    1.2.826.0.1.3680043.8.498.60164849207388986979658814682811562397 0.00019028325914405286 0.00022499081387650222 0.00040398965938948095 0.0002307254762854427 0.00035618344554677606 0.0001235632662428543 0.001940850168466568 0.012650445103645325 0.0776042714715004 0.9393474459648132 9.67699961620383e-05
    1.2.826.0.1.3680043.8.498.92651613059918886402034227830075814840 0.0009436219115741551 0.0016810871893540025 0.002230964368209243 0.0021213192958384752 0.001289556734263897 0.004526385106146336 0.0010154970223084092 0.13657251000404358 0.37746310234069824 0.557705283164978 0.0012645991519093513
    1.2.826.0.1.3680043.8.498.36642557057667745413160844407367831870 0.00024679111083969474 0.00021384931460488588 0.0003040602896362543 0.0003900686861015856 0.0006584067596122622 3.6269240808906034e-05 0.0016936399042606354 0.023463468998670578 0.11219775676727295 0.9202654957771301 0.00037446775240823627
    1.2.826.0.1.3680043.8.498.11045652016301284850163552377681870922 0.0011520565021783113 0.0011913130292668939 0.0007995908381417394 0.0012899215798825026 0.0024911535438150167 0.0002539285342209041 0.002250220160931349 0.4761463701725006 0.25249987840652466 0.503711998462677 0.0014967257156968117
    1.2.826.0.1.3680043.8.498.55669102032047054676794089704971098619 0.01030714251101017 0.2835250496864319 0.6935182213783264 0.008297855034470558 0.02035188488662243 0.04754570499062538 0.9254382252693176 0.08128386735916138 0.4020873010158539 0.5299028158187866 0.005661068018525839
    1.2.826.0.1.3680043.8.498.18505093007651403999808826057524502056 0.000445884361397475 0.0004700437712017447 0.0005187123315408826 0.0007080188952386379 0.0008365774410776794 0.00023959382087923586 0.0018119331216439605 0.2414584904909134 0.2407895028591156 0.845502495765686 0.0007745625334791839
    1.2.826.0.1.3680043.8.498.45120073784941732127214245286484557512 0.00029700627783313394 0.0005840818048454821 0.0007679648697376251 0.001483648782595992 0.000908592832274735 0.00010767635103547946 0.0008766643586568534 0.068651482462883 0.39101365208625793 0.821127712726593 0.0003887783095706254
    1.2.826.0.1.3680043.8.498.72015737543565884341275476576302795185 0.0048802876845002174 0.026619959622621536 0.12409216165542603 0.00918908603489399 0.030995234847068787 0.011193567886948586 0.1615990847349167 0.0366126224398613 0.12269820272922516 0.9030095934867859 0.2716781497001648
    1.2.826.0.1.3680043.8.498.25808619278327502855104255882078580225 0.008343993686139584 0.29396477341651917 0.42775243520736694 0.00252916244789958 0.012692345306277275 0.00392909487709403 0.9414193034172058 0.1448475867509842 0.33476391434669495 0.613834798336029 0.002305821981281042
    1.2.826.0.1.3680043.8.498.91610432263494953613015391439749317370 0.002855931641533971 0.004006892442703247 0.004722288344055414 0.008881592191755772 0.008736039511859417 0.011317706666886806 0.030878281220793724 0.2100876271724701 0.276176780462265 0.7707899808883667 0.004778734408318996
    1.2.826.0.1.3680043.8.498.11075741308685270494218657982922687401 0.0004474773013498634 0.0005069716135039926 0.0011098756222054362 0.0012999475002288818 0.002107619773596525 0.00029291468672454357 0.001729615032672882 0.008773480542004108 0.04341196268796921 0.9515794515609741 0.00018150536925531924
    1.2.826.0.1.3680043.8.498.72136171130990371030997207615747001921 8.627072384115309e-05 0.00011307724344078451 0.00016572393360547721 0.00037436775164678693 0.00011426276614656672 0.0006154805305413902 1.1507977433211636e-05 0.013759365305304527 0.1337434947490692 0.9101600646972656 0.00011235244164709002
    1.2.826.0.1.3680043.8.498.10407538852680501949208585610328580805 0.014391864649951458 0.3421016335487366 0.6952143907546997 0.019487475976347923 0.0652831494808197 0.0071687111631035805 0.9213976860046387 0.24524083733558655 0.4539177417755127 0.4310385584831238 0.004809695295989513
    1.2.826.0.1.3680043.8.498.12018014258094277460977262619316261391 0.017071451991796494 0.1497287005186081 0.20992302894592285 0.04517722129821777 0.05135495215654373 0.719615638256073 0.2127164602279663 0.07894157618284225 0.23578259348869324 0.6828653216362 0.010313747450709343
    1.2.826.0.1.3680043.8.498.91034888767428190660277231538892137412 0.00018618332978803664 0.00015003856969997287 0.0002527219767216593 0.00033865447039715946 0.00025228052982129157 0.00036137228016741574 8.660783350933343e-05 0.0206870436668396 0.06238530948758125 0.8901000022888184 0.00014932252815924585
    1.2.826.0.1.3680043.8.498.49252473430428498634837729794517309876 0.0006635527242906392 0.0005237796576693654 0.0007766364724375308 0.0014488698216155171 0.0008515416411682963 0.0004655334632843733 0.0009321473771706223 0.30508384108543396 0.1307578682899475 0.6417487859725952 0.0006950654205866158
    1.2.826.0.1.3680043.8.498.15581374071247944638408652446510173861 0.0023085216525942087 0.06704412400722504 0.8670719861984253 0.009869069792330265 0.034957900643348694 0.011593063361942768 0.7231544852256775 0.076243557035923 0.27395397424697876 0.1469513326883316 0.0006924313493072987
    1.2.826.0.1.3680043.8.498.59470626593407497221547550053435814956 0.0007036660681478679 0.0007389725651592016 0.0012774995993822813 0.001705422648228705 0.002256291452795267 0.0011030188761651516 0.0031878582667559385 0.03633451461791992 0.4376240372657776 0.6005620956420898 0.0006335045909509063
    1.2.826.0.1.3680043.8.498.11870509075027237203655150467685794759 0.0006766488659195602 0.0008789424900896847 0.001475872821174562 0.0013486456591635942 0.0020141724962741137 0.00022240557882469147 0.0015841175336390734 0.08563340455293655 0.5251913666725159 0.5513958930969238 0.0005268182721920311
    1.2.826.0.1.3680043.8.498.32510481634408788054400637389238395616 0.0005603701574727893 0.0008998241974040866 0.0038323465269058943 0.0011553207878023386 0.0012084393529221416 0.0011094731744378805 0.003326853271573782 0.09635648876428604 0.06320415437221527 0.8649517297744751 0.7929068207740784
    1.2.826.0.1.3680043.8.498.12443989416824621139646469496896091650 0.00025224703131243587 0.00022497754252981395 0.0003312663175165653 0.0008880443056114018 0.0005098540568724275 0.0005827512359246612 0.0001800248137442395 0.014091524295508862 0.010689089074730873 0.9846897125244141 0.00013757144915871322
    1.2.826.0.1.3680043.8.498.50979521694698537997670738402210983243 0.00013202244008425623 0.0001342261239187792 0.00018387366435490549 0.0003800960839726031 0.0003975960426032543 0.00012506493658293039 7.976657070685178e-05 0.012199655175209045 0.20111127197742462 0.9348790049552917 0.00010348849173169583
    1.2.826.0.1.3680043.8.498.29086420320903865252517492385459722792 0.0006757345981895924 0.0007794457487761974 0.000605315319262445 0.0013268531765788794 0.0013451275881379843 0.00019623784464783967 0.0013912649592384696 0.47414571046829224 0.4605228304862976 0.17638607323169708 0.0008549191989004612
    1.2.826.0.1.3680043.8.498.12498146420467848486218879754651515995 0.0001598911767359823 0.005501742009073496 0.9918875694274902 0.009107576683163643 0.01128402166068554 0.509380042552948 0.013463258743286133 0.007452658377587795 0.060242585837841034 0.9939367175102234 0.0002455466892570257
    1.2.826.0.1.3680043.8.498.24794884234477371410601369512907750409 0.0026116452645510435 0.004330801777541637 0.004096340853720903 0.003947724588215351 0.0038839306216686964 0.0015382715500891209 0.0069185406900942326 0.12724873423576355 0.19378022849559784 0.719462513923645 0.0012286303099244833
    1.2.826.0.1.3680043.8.498.98478934438379144473797769367722492806 0.00019690042245201766 0.000231131401960738 0.0005820320220664144 0.0006100631435401738 0.0011023799888789654 9.913138637784868e-05 0.0009431412327103317 0.0021813937928527594 0.008894823491573334 0.9950844049453735 6.427703192457557e-05
    1.2.826.0.1.3680043.8.498.12600348748749543765666854290537541806 0.0014046402648091316 0.003172983881086111 0.005386616103351116 0.0034610978327691555 0.005323225166648626 0.0008295218576677144 0.022545460611581802 0.021195020526647568 0.23672382533550262 0.8594714999198914 0.0011568813351914287
    1.2.826.0.1.3680043.8.498.12212045405587471242424514780583417899 0.0002436957583995536 0.0002063910651486367 0.0005355822504498065 0.0005302486824803054 0.0006002282025292516 9.82042183750309e-05 0.00035509635927155614 0.017378583550453186 0.029703330248594284 0.9651402235031128 0.00011981965508311987
    1.2.826.0.1.3680043.8.498.93805295649614262848240403783139084421 0.0005135074025020003 0.0006277696811594069 0.0008048051968216896 0.0015192832797765732 0.0010911875870078802 0.0023388653062283993 0.0009033389505930245 0.4314647316932678 0.4805700182914734 0.1637529879808426 0.0012218412011861801
    1.2.826.0.1.3680043.8.498.92337008066052579084273182402157599277 0.0002689754473976791 0.00026595924282446504 0.00032866711262613535 0.0004473436565604061 0.0006587364478036761 4.626675581675954e-05 0.0005152878002263606 0.07892501354217529 0.5268023610115051 0.41895079612731934 0.000266154675045982
    1.2.826.0.1.3680043.8.498.37659278084615277951076634684679558246 0.0001219848491018638 0.00010129668225999922 0.00023205757315736264 0.00028416496934369206 0.00041134265484288335 3.40599799528718e-05 0.00016129773575812578 0.0036378479562699795 0.010729799047112465 0.9923232197761536 4.2263367504347116e-05
    1.2.826.0.1.3680043.8.498.93529667572067704161591052963522898786 0.00015821642591618001 0.00015122367767617106 0.00017504466813988984 0.0002832380123436451 0.00017543106514494866 0.0002496532688383013 5.474875069921836e-05 0.015139791183173656 0.08582675457000732 0.9500049352645874 0.00011332042049616575
    1.2.826.0.1.3680043.8.498.10023042737818625910026668901358652653 0.0007024694932624698 0.001777133671566844 0.0029989145696163177 0.0029403322841972113 0.0015108197694644332 0.011810298077762127 0.0016191800823435187 0.17462021112442017 0.44334545731544495 0.7968041896820068 0.08527489006519318
    1.2.826.0.1.3680043.8.498.17760553194142641402736894860206972045 0.00013361913443077356 0.0001554098998894915 0.00034807290649041533 0.00023817838518880308 0.00036383391125127673 0.00014014319458510727 0.0002943805593531579 0.004639267921447754 0.01333670038729906 0.9881227612495422 5.112956932862289e-05
    1.2.826.0.1.3680043.8.498.29637887548843262271769667540436363499 0.009162180125713348 0.046111881732940674 0.30544739961624146 0.05244575813412666 0.09401632845401764 0.08814842998981476 0.30290189385414124 0.0702509954571724 0.15257486701011658 0.5956658124923706 0.0037097730673849583
    1.2.826.0.1.3680043.8.498.10632932523144431664197185195114810147 0.00019769850769080222 0.00018756625649984926 0.00026105681899935007 0.0003554637951310724 0.0004357527941465378 3.73001785192173e-05 0.00019207900913897902 0.015351061709225178 0.13989324867725372 0.8931043744087219 0.00012817492824979126
    1.2.826.0.1.3680043.8.498.13117846641730227136989181072695590029 8.776327013038099e-05 8.397076453547925e-05 0.00016478712495882064 0.0001547270076116547 0.00019127917767036706 0.00011558702681213617 4.826958684134297e-05 0.005824138876050711 0.014784708619117737 0.9930387735366821 2.976643190777395e-05
    1.2.826.0.1.3680043.8.498.11307752165711688241250476550120064145 0.0007933862507343292 0.0006917306454852223 0.0005697426968254149 0.0013159067602828145 0.0018920684233307838 0.00039297653711400926 0.0012748745502904058 0.4710427224636078 0.3583737313747406 0.27677634358406067 0.0014122676802799106
    1.2.826.0.1.3680043.8.498.92625463958056725200170004641543677969 0.0005047876620665193 0.0013900394551455975 0.006336708553135395 0.0005271340487524867 0.000880031380802393 0.00036925653694197536 0.003591373562812805 0.03864176198840141 0.25097960233688354 0.7233543395996094 0.0003593468863982707
    1.2.826.0.1.3680043.8.498.12304354903745402137514177605290079313 0.0003003134042955935 0.00023796239111106843 0.0002695778966881335 0.0004702594014815986 0.0005824251566082239 0.00010424818901810795 0.00022431342222262174 0.10805158317089081 0.3290931284427643 0.5487896800041199 0.000261417415458709
    1.2.826.0.1.3680043.8.498.11217276173785925116794208197596773244 0.0006964138010516763 0.0006421654834412038 0.0008471923065371811 0.0017864307155832648 0.0016907962271943688 0.0008124449523165822 0.0008666295325383544 0.021209578961133957 0.17628923058509827 0.8459948301315308 0.0005147425690665841
    1.2.826.0.1.3680043.8.498.27762867057910181773923434242674223423 0.00044041345245204866 0.0004522597882896662 0.00136043899692595 0.001002663979306817 0.0010128084104508162 0.00020638477872125804 0.0006178947514854372 0.31101661920547485 0.2829769551753998 0.2827698588371277 0.0004854524158872664
    1.2.826.0.1.3680043.8.498.37222123454785095667070070972870757265 0.00023423034872394055 0.0001650902268011123 0.0001822171179810539 0.000358816992957145 0.0004995645140297711 5.639509254251607e-05 0.0001668760960455984 0.020390888676047325 0.39516860246658325 0.687524676322937 0.00018770819588098675
    1.2.826.0.1.3680043.8.498.13355604729035246091180510779090953684 0.00026724202325567603 0.0001676579558989033 0.00028274592477828264 0.0006704842671751976 0.0006628137780353427 6.640316132688895e-05 0.0003307694278191775 0.012865441851317883 0.032263219356536865 0.9474540948867798 0.00015200140478555113
    1.2.826.0.1.3680043.8.498.11292189743176166976898340476017439988 0.0002905389410443604 0.00021563682821579278 0.0002512672508601099 0.0005348398117348552 0.0004788548103533685 0.0003133415011689067 0.00014871532039251179 0.41487693786621094 0.3952036499977112 0.19822554290294647 0.00040820258436724544
    1.2.826.0.1.3680043.8.498.10272461421008035889142719793362906980 0.00020251303794793785 0.00020437166676856577 0.00033828167943283916 0.0005578697891905904 0.00034265476278960705 0.0011142082512378693 0.00011480834655230865 0.04062715917825699 0.28781580924987793 0.7087620496749878 0.0003900643496308476
    1.2.826.0.1.3680043.8.498.41314860206264563300581805557240713705 0.0024298368953168392 0.053855232894420624 0.921686053276062 0.003039357718080282 0.019048377871513367 0.021124590188264847 0.9509832262992859 0.0749170333147049 0.22450092434883118 0.9483209848403931 0.7285939455032349
    1.2.826.0.1.3680043.8.498.26358633186643897544539184569323077028 0.0005212630494497716 0.0006267976714298129 0.0005603718454949558 0.0008324703085236251 0.0008753021247684956 0.0005403996328823268 0.00033438397804275155 0.015080906450748444 0.3689882457256317 0.7398827075958252 0.0002551544166635722
    1.2.826.0.1.3680043.8.498.19515980766887704615097059350170639431 0.057977378368377686 0.3370673954486847 0.5251914262771606 0.17806394398212433 0.1274922639131546 0.3803102672100067 0.17102783918380737 0.2872290015220642 0.3036779761314392 0.6226358413696289 0.01846347376704216
    1.2.826.0.1.3680043.8.498.35642725290481600087337244448139483571 0.013130351901054382 0.08333685249090195 0.2204066812992096 0.11469195783138275 0.03638064116239548 0.7181531190872192 0.054036278277635574 0.09080630540847778 0.3414576053619385 0.6053756475448608 0.007306428160518408
    1.2.826.0.1.3680043.8.498.69246655403304123879698113298597740373 0.0003394897503312677 0.0009561579790897667 0.002420173492282629 0.002520730020478368 0.001571755507029593 0.029936913400888443 0.002879283856600523 0.003745429217815399 0.04805543273687363 0.9922106862068176 0.0001351704850094393
    1.2.826.0.1.3680043.8.498.70346097888303279241769614081678468004 0.00015505103510804474 0.00020083536219317466 0.00039272583671845496 0.0003354998480062932 0.00044613610953092575 4.150775203015655e-05 0.0003450240474194288 0.003501168917864561 0.02803669311106205 0.9822009801864624 7.261969585670158e-05
    1.2.826.0.1.3680043.8.498.69599126479716238772196974397448577963 0.000507315038703382 0.001096409629099071 0.0010228886967524886 0.001051990664564073 0.0004977491917088628 0.002500515431165695 0.0003330050385557115 0.32492512464523315 0.5460427403450012 0.42840853333473206 0.0008420000085607171
    1.2.826.0.1.3680043.8.498.14310377709946015266833013061947990985 0.0006935985875315964 0.0006878008134663105 0.0004558766377158463 0.001049279933795333 0.001323122065514326 0.0005287512904033065 0.0003271160530857742 0.7320495843887329 0.374220073223114 0.07978816330432892 0.0007385345525108278
    1.2.826.0.1.3680043.8.498.60697841767363947227962624868383658817 0.0003005928883794695 0.0002320431376574561 0.00021295242186170071 0.00039788117283023894 0.00041222022264264524 8.657258877065033e-05 0.00042447829036973417 0.16815246641635895 0.483769953250885 0.3594892621040344 0.000325430475641042
    1.2.826.0.1.3680043.8.498.11109855623106587640540240838452695913 0.00032966845901682973 0.00035207864129915833 0.0004605679423548281 0.0006319665699265897 0.000322709878673777 0.0013743409654125571 8.657310536364093e-05 0.11530928313732147 0.44979357719421387 0.38812166452407837 0.0004878566542174667
    1.2.826.0.1.3680043.8.498.30150044487927979504732941684406116908 0.0001366898068226874 8.379806240554899e-05 0.00011922309931833297 0.00031320477137342095 0.00040690047899261117 3.950381506001577e-05 0.0001397111191181466 0.0031498961616307497 0.016169525682926178 0.9879926443099976 6.065589695936069e-05
    1.2.826.0.1.3680043.8.498.85258994661468544395911458782708659316 0.00023027774295769632 0.00016918499022722244 0.00028770387871190906 0.0005111022619530559 0.0004817788430955261 0.00019432460248935968 0.0001947438286151737 0.00602582236751914 0.053053151816129684 0.9507445096969604 0.00014565468882210553
    1.2.826.0.1.3680043.8.498.25847236086476222629638208324886425031 0.000595823978073895 0.000765196920838207 0.0009331342880614102 0.0009583161445334554 0.0014353792648762465 0.00014294027641881257 0.0020627458579838276 0.1547548770904541 0.669882595539093 0.25324732065200806 0.0005496758967638016
    1.2.826.0.1.3680043.8.498.12145653381585093613758955862102325974 0.00015023052401375026 0.00017434533219784498 0.00040067272493615746 0.0005506068118847907 0.00023430681903846562 0.0005647161742672324 4.609282041201368e-05 0.021136559545993805 0.0265345461666584 0.955878734588623 0.00015390224871225655
    1.2.826.0.1.3680043.8.498.94504708448092971999736856961932287110 0.00025733563234098256 0.0001379996247123927 0.00021024017769377679 0.0005312283174134791 0.000512744183652103 0.00011128012556582689 0.000223975395783782 0.05484892055392265 0.12413263320922852 0.8105219602584839 0.00022200270905159414
    1.2.826.0.1.3680043.8.498.11411140743506989421856421414070651673 0.0018824085127562284 0.0456211157143116 0.9264689683914185 0.0341976173222065 0.019513707607984543 0.7834805846214294 0.033076897263526917 0.049675341695547104 0.12224751710891724 0.369024395942688 0.0009312328766100109
    1.2.826.0.1.3680043.8.498.10952911206850138877263401007082343142 0.00048326290561817586 0.0010971518931910396 0.0014128530165180564 0.000598306127358228 0.0011313498253002763 0.0008076414233073592 0.004777914844453335 0.04104427993297577 0.05042077973484993 0.9466375112533569 0.0004119185614399612
    1.2.826.0.1.3680043.8.498.10641790417163582869152495996508095166 0.0004534856998361647 0.000571722979657352 0.000599765102379024 0.0007114507025107741 0.0016858642920851707 7.968013233039528e-05 0.0025270574260503054 0.3889400064945221 0.34524232149124146 0.2562728524208069 0.0005741848144680262
    1.2.826.0.1.3680043.8.498.10476199691053887486706119406234768744 0.00028614854090847075 0.0003330854815430939 0.000507017713971436 0.0005891092587262392 0.0009397567482665181 6.787379970774055e-05 0.001429199823178351 0.052183590829372406 0.04146278277039528 0.9488567113876343 0.00022217666264623404
    1.2.826.0.1.3680043.8.498.95766004808558692909665141599865475325 0.0012334376806393266 0.0023058452643454075 0.0018032524967566133 0.0023437505587935448 0.0008493655477650464 0.002407386898994446 0.0016801890451461077 0.14139902591705322 0.5292887687683105 0.4652005136013031 0.002696973504498601
    1.2.826.0.1.3680043.8.498.12602093846937798659120832392328149493 0.0010221994016319513 0.0010972194140776992 0.0018854705849662423 0.004143643192946911 0.004221084527671337 0.002029803115874529 0.0025283030699938536 0.01277062576264143 0.024161677807569504 0.9734245538711548 0.00043554004514589906
    1.2.826.0.1.3680043.8.498.11510473278268498500843333013902334894 0.000214327170397155 0.00019745712052099407 0.0001696933468338102 0.00025241129333153367 0.00040512491250410676 2.0467108697630465e-05 0.0009681993979029357 0.025580143555998802 0.11685273796319962 0.8819653391838074 0.0001379852183163166
    1.2.826.0.1.3680043.8.498.12261830153716960152303166531948094964 0.000234158243983984 0.00024204017245210707 0.0005302882054820657 0.0007853216375224292 0.00024737429339438677 0.0008686443907208741 3.958201705245301e-05 0.09382716566324234 0.0796441063284874 0.8804264068603516 0.0003466396010480821
    1.2.826.0.1.3680043.8.498.85581843648685363439975934236647046255 0.00010159512748941779 0.00015962054021656513 0.0002082117134705186 0.0001915000902954489 0.00020798516925424337 2.9125905712135136e-05 0.000519778928719461 0.011448183096945286 0.06169942766427994 0.9735231399536133 8.729680848773569e-05
    1.2.826.0.1.3680043.8.498.10981857223091222562675360428752745894 0.0015071617672219872 0.02005002833902836 0.9514700770378113 0.007691146340221167 0.029663562774658203 0.006679526064544916 0.4802915155887604 0.14980779588222504 0.5688663125038147 0.6039661169052124 0.001350237987935543
    1.2.826.0.1.3680043.8.498.97362356121581960670042698247556786721 0.00028681717230938375 0.0004912898875772953 0.0005986669566482306 0.00037767220055684447 0.0006121858023107052 0.0001664815645199269 0.000592096010223031 0.057255398482084274 0.635184109210968 0.35819679498672485 0.00018343570991419256
    1.2.826.0.1.3680043.8.498.20711867435681695520991294189406649497 0.014929321594536304 0.04364299029111862 0.0374017171561718 0.029847458004951477 0.054951705038547516 0.034155987203121185 0.6338568329811096 0.23084858059883118 0.42746391892433167 0.4028014540672302 0.008202748373150826
    1.2.826.0.1.3680043.8.498.18498319599967471653758128919500507099 0.00035785898217000067 0.000698408461175859 0.0005979654961265624 0.00030154280830174685 0.0007980723748914897 4.2031977500300854e-05 0.01279456727206707 0.23581743240356445 0.48124513030052185 0.3417745530605316 0.0004423590435180813
    1.2.826.0.1.3680043.8.498.10073396046783177841224160879888005006 0.0002501892449799925 0.0005431706085801125 0.0006555846193805337 0.0003055559063795954 0.00044705712934955955 0.0003316272050142288 0.005408793222159147 0.23267193138599396 0.623026967048645 0.2123614102602005 0.0004112576716579497
    1.2.826.0.1.3680043.8.498.82767518354847414481509663378200453653 0.0005101996939629316 0.00032262527383863926 0.0004231975763104856 0.0009128504316322505 0.0008068947936408222 0.00044254912063479424 0.00045260897604748607 0.19356516003608704 0.516754150390625 0.34845155477523804 0.0007291045039892197
    1.2.826.0.1.3680043.8.498.89665823331677991470283101305440619669 0.000266054441453889 0.00017285221838392317 0.00046785781159996986 0.0009331624023616314 0.0010872016428038478 8.342616638401523e-05 0.00030859329854138196 0.010158756747841835 0.049508143216371536 0.9427840113639832 0.00017154149827547371
    1.2.826.0.1.3680043.8.498.33769268720353212242672758683588339758 0.0004297278355807066 0.0006462844321504235 0.00041798740858212113 0.0003537204465828836 0.0006396427052095532 0.00011206434282939881 0.0006192216533236206 0.05754395201802254 0.3089325428009033 0.6066660284996033 0.00034812986268661916
    1.2.826.0.1.3680043.8.498.11183035482761951802536094813330579870 0.0002628203947097063 0.0003093765990342945 0.0007732447702437639 0.00047363602789118886 0.0009425993193872273 0.00011348536645527929 0.0010632931953296065 0.012789009138941765 0.21438677608966827 0.7656170129776001 0.0002594517427496612
    1.2.826.0.1.3680043.8.498.11797462065508393081164311839422069367 0.003146787639707327 0.028988409787416458 0.9579232335090637 0.01861497201025486 0.09374818205833435 0.20015117526054382 0.41965293884277344 0.3333666920661926 0.46477389335632324 0.4339691698551178 0.0038141286931931973
    1.2.826.0.1.3680043.8.498.87998096829328893283661511455787749493 0.0003041800810024142 0.00032452185405418277 0.0003223395033273846 0.0005529092741198838 0.0006273759063333273 0.00012978709128219634 0.000511097488924861 0.011020624078810215 0.12432143837213516 0.9070124626159668 0.00019974587485194206
    1.2.826.0.1.3680043.8.498.11553893527807004488127050948293194499 0.00015989236999303102 0.0002464262652210891 0.00031218474032357335 0.00032847054535523057 0.00035671115620061755 0.00029174218070693314 0.00040276962681673467 0.07234750688076019 0.8224738836288452 0.3645119071006775 0.00017893289623316377
    1.2.826.0.1.3680043.8.498.66396799552556909563022579017295214945 0.00031809828942641616 0.00024021451827138662 0.00031716967350803316 0.0006074119592085481 0.0008488179300911725 0.00011004878615494817 0.0007810396491549909 0.06170334294438362 0.5860837697982788 0.4384222626686096 0.0004396688600536436
    1.2.826.0.1.3680043.8.498.12225622238118164284092447176854697811 0.00042043119901791215 0.0002849370357580483 0.0002564683381933719 0.0008352578734047711 0.0005645390483550727 0.0006002737209200859 0.00019020316540263593 0.2685994505882263 0.4881313443183899 0.34096235036849976 0.0005417987704277039
    1.2.826.0.1.3680043.8.498.12082386138601674964227443674323963757 0.00030097184935584664 0.0002515497035346925 0.0002966079337056726 0.0005079395486973226 0.0007192312041297555 0.00011342752259224653 0.0002557614352554083 0.03398328274488449 0.45919543504714966 0.6429068446159363 0.0003527214576024562
    1.2.826.0.1.3680043.8.498.53396620516885178790541542076291966385 0.0006914417026564479 0.0012709330767393112 0.001596922054886818 0.0017045804997906089 0.003266772720962763 0.0012389819603413343 0.010916749015450478 0.08412687480449677 0.7254900932312012 0.5898133516311646 0.0005764412344433367
    1.2.826.0.1.3680043.8.498.65353875971081336772270523715204559981 0.0006903148023411632 0.0007660659612156451 0.0007788323564454913 0.0009718245710246265 0.0014180587604641914 0.0003245828265789896 0.0011236106511205435 0.3876120448112488 0.43151840567588806 0.22895757853984833 0.0006805890006944537
    1.2.826.0.1.3680043.8.498.11117255519921847349647670718962585112 0.00017827321426011622 0.00013963039964437485 0.00023537719971500337 0.00032098227529786527 0.0004001743218395859 8.269917452707887e-05 0.000135448484797962 0.016187403351068497 0.3928668797016144 0.7321478724479675 0.00013874933938495815
    1.2.826.0.1.3680043.8.498.31335105081973525347579654781259574172 0.00892867986112833 0.05884565785527229 0.14561127126216888 0.03391547501087189 0.05314168334007263 0.17064964771270752 0.0651257336139679 0.05688594654202461 0.3860265612602234 0.7680503129959106 0.0016434015706181526
    1.2.826.0.1.3680043.8.498.82721916146790985362558331109320813689 0.00827163364738226 0.021440807729959488 0.05685774236917496 0.05446305871009827 0.06584761291742325 0.41429734230041504 0.18317057192325592 0.10856564342975616 0.5469402074813843 0.6376186609268188 0.012023674324154854
    1.2.826.0.1.3680043.8.498.38848296809051097008863257103939837273 0.00036093301605433226 0.0005199264851398766 0.0006016396800987422 0.0008987055043689907 0.0008921854896470904 0.0004175685462541878 0.0008499162504449487 0.011245714500546455 0.012190642766654491 0.9925812482833862 0.00012188860273454338
    1.2.826.0.1.3680043.8.498.12809787260423701296143606980673629445 0.0002569652278907597 0.00018266447295900434 0.00023059567320160568 0.0005190238007344306 0.0004926737165078521 0.00023087361478246748 0.0001231070200446993 0.037268128246068954 0.4672066569328308 0.5180343985557556 0.00023998026154004037
    1.2.826.0.1.3680043.8.498.40986233534116765478325725181138897515 0.0003323855344206095 0.00030987634090706706 0.0002939357946161181 0.00055015052203089 0.0007104974938556552 4.914227611152455e-05 0.0007016118615865707 0.04964064806699753 0.3283880352973938 0.7124944925308228 0.00025357064441777766
    1.2.826.0.1.3680043.8.498.10703020068686618744896512669998494714 0.0001334719854639843 0.0001295700785703957 0.0001991147146327421 0.00022525554231833667 0.0002487743622623384 7.11406028131023e-05 0.00011552982323337346 0.00632414361461997 0.11514876037836075 0.9160049557685852 8.043312845984474e-05
    1.2.826.0.1.3680043.8.498.48444681985889686233818756643188401772 0.0002392367023276165 0.00027300172951072454 0.00036769191501662135 0.000451322877779603 0.000715193513315171 5.012071778764948e-05 0.0004888543044216931 0.009724876843392849 0.144476979970932 0.8961870074272156 0.00016829237574711442
    1.2.826.0.1.3680043.8.498.11407298045610878830393731830592741886 0.00031682878034189343 0.000258176150964573 0.00023966198205016553 0.0006596896564587951 0.00048659363528713584 0.0002839675289578736 0.00016493583098053932 0.018622461706399918 0.17185261845588684 0.8508429527282715 0.00022865932260174304
    1.2.826.0.1.3680043.8.498.11041223135921983619269085384687445112 0.00010015934094553813 0.00010019789624493569 0.0002291899436386302 0.00032392298453487456 0.00020546221639961004 8.100498234853148e-05 0.00010779228614410385 0.010320780798792839 0.032722048461437225 0.9683800935745239 5.483574204845354e-05
    1.2.826.0.1.3680043.8.498.23053862510521108664892751400342290512 0.0004580745880957693 0.000560225045774132 0.0005668520461767912 0.0007784676854498684 0.0004237712419126183 0.0009865628089755774 0.0002650662208907306 0.09000233560800552 0.30572837591171265 0.5653447508811951 0.00047570274909958243
    1.2.826.0.1.3680043.8.498.19404968487736726730798642396420746825 0.0003026105696335435 0.00027530439547263086 0.0006753624184057117 0.0010841587791219354 0.0009062705794349313 0.00045222658081911504 0.00031887483783066273 0.010623219422996044 0.02235572040081024 0.9771259427070618 0.0001565166749060154
    1.2.826.0.1.3680043.8.498.66025759435031398188072036041772039886 0.00018165449728257954 0.0004753441899083555 0.0006034598336555064 0.0001785309286788106 0.0004011957498732954 4.7888483095448464e-05 0.0036803267430514097 0.0602349117398262 0.2553953230381012 0.8354560136795044 0.0002587022027000785
    1.2.826.0.1.3680043.8.498.74949752787488730313509115211160787646 0.00011802664084825665 0.00016533792950212955 0.0001980637025553733 0.0004738142597489059 7.875453593442217e-05 0.000991741893813014 1.5504374459851533e-05 0.012325255200266838 0.08761114627122879 0.9370682835578918 0.0001223907747771591
    1.2.826.0.1.3680043.8.498.12476039891398958488753320963418320648 0.0002055855729850009 0.0004363219195511192 0.0004669270128943026 0.0003743322449736297 0.0009896293049678206 0.00015794439241290092 0.00557952793315053 0.003942418843507767 0.02101573534309864 0.9866868853569031 0.00012821503332816064
    1.2.826.0.1.3680043.8.498.10217058470640269643387730524345277115 0.0003768313326872885 0.00030977610731497407 0.00036256463499739766 0.0008068463648669422 0.001196012133732438 6.732600013492629e-05 0.000605685287155211 0.009714998304843903 0.09618054330348969 0.9141157269477844 0.00023054712801240385
    1.2.826.0.1.3680043.8.498.36746471869253399267219989491292210928 0.00023266875359695405 0.00025275390362367034 0.00022119094501249492 0.0006817600806243718 0.00017679795564617962 0.0005785776302218437 4.85800628666766e-05 0.019356299191713333 0.04019112139940262 0.9649255871772766 0.00015278926002793014
    1.2.826.0.1.3680043.8.498.48565752739074222308211447340304259847 0.0002662416663952172 0.0003160796477459371 0.0004849568067584187 0.0003719026572071016 0.0006465778569690883 7.48077582102269e-05 0.0003902363241650164 0.010420592501759529 0.1655491590499878 0.8605667948722839 0.0001200021943077445
    1.2.826.0.1.3680043.8.498.13337812342728236505617419939235086555 0.00015878744306974113 0.0003984364157076925 0.0017454989720135927 0.0006401487626135349 0.0001861003111116588 0.01552533358335495 3.431851291679777e-05 0.04934550076723099 0.34699973464012146 0.6273167729377747 0.000563143054023385
    1.2.826.0.1.3680043.8.498.20380573258710639772238370052317180826 0.0030284940730780363 0.034945547580718994 0.9392067193984985 0.017517754808068275 0.09742698818445206 0.17422065138816833 0.7190254926681519 0.028260087594389915 0.11369917541742325 0.9415268898010254 0.0014024937991052866
    1.2.826.0.1.3680043.8.498.13400078117212135000765996340662612774 0.0003501482424326241 0.0007034706650301814 0.0006351618794724345 0.0004855887091252953 0.0009656205656938255 2.9991997507750057e-05 0.01669907383620739 0.011540460400283337 0.03287748247385025 0.9726718664169312 0.00028739889967255294
    1.2.826.0.1.3680043.8.498.90006318756041520538008832284928706856 0.0003462406457401812 0.000363802450010553 0.0009946408681571484 0.0018109821248799562 0.001065834891051054 0.0012538409791886806 0.00035960294189862907 0.007274488918483257 0.009593565948307514 0.9919053912162781 0.0002185781777370721
    1.2.826.0.1.3680043.8.498.86764465632642239474647756681647315290 0.0014551205094903708 0.023148100823163986 0.9696219563484192 0.01051902212202549 0.06344114243984222 0.017851460725069046 0.643686830997467 0.19275811314582825 0.4041072428226471 0.4353734850883484 0.0008537503890693188
    1.2.826.0.1.3680043.8.498.34730499326590119522405494093933961481 0.00014289938553702086 9.742350084707141e-05 0.00013167700672056526 0.00023647051420994103 0.0002538289991207421 6.363481224980205e-05 0.0001656595413805917 0.01055957656353712 0.07718038558959961 0.9595367312431335 9.381242125527933e-05
    1.2.826.0.1.3680043.8.498.11331865939273439507555353287769761595 0.005038189236074686 0.19167831540107727 0.683050811290741 0.003029501996934414 0.01710740104317665 0.005504429340362549 0.9844373464584351 0.09765313565731049 0.4606117308139801 0.6723253130912781 0.004366936627775431
    1.2.826.0.1.3680043.8.498.10958321294228335620580951608399361927 0.0001895352324936539 0.00020564356236718595 0.00027699064230546355 0.00033875778899528086 0.00035771512193605304 0.00011124163575004786 0.00021057049161754549 0.01238819770514965 0.06712430715560913 0.9435323476791382 0.00011197353160241619
    1.2.826.0.1.3680043.8.498.63572799110144572339118612962971405438 0.00022816532873548567 0.0001713578385533765 0.00026634466485120356 0.0007747941417619586 0.0005984786548651755 0.00010829298116732389 0.0002314073935849592 0.006625029258430004 0.06557692587375641 0.9712257385253906 0.00013333631795831025
    1.2.826.0.1.3680043.8.498.29659542941089736227159715011866123506 0.00035807015956379473 0.0007935787434689701 0.0008927438175305724 0.0004436254967004061 0.0007583803380839527 4.4205105950823054e-05 0.03186259791254997 0.03649378567934036 0.037137169390916824 0.9681782722473145 0.00027764769038185477
    1.2.826.0.1.3680043.8.498.11880338568715089947590695290824447165 0.0006261192611418664 0.00039704563096165657 0.00040700440877117217 0.0011572702787816525 0.0012818713439628482 0.00036590188392437994 0.00026740587782114744 0.6742793321609497 0.25404953956604004 0.12625212967395782 0.0006099806632846594
    1.2.826.0.1.3680043.8.498.29617567665237616968740925984062079583 0.0006558455643244088 0.0007204143912531435 0.0011020657839253545 0.0030992147512733936 0.0025358726270496845 0.008967886678874493 0.0007407664088532329 0.015637028962373734 0.08795088529586792 0.9328643083572388 0.00045441006659530103
    1.2.826.0.1.3680043.8.498.68182934623287768517047824267847164263 0.0003837999829556793 0.0003503604675643146 0.00042200525058433414 0.0005170094082131982 0.0006863820017315447 0.00015169485413935035 0.0007101761875674129 0.06433749943971634 0.4261539578437805 0.5145953297615051 0.0004094126052223146
    1.2.826.0.1.3680043.8.498.85217810729849531286117013353652325983 0.00026978590176440775 0.0008745382656343281 0.0032597635872662067 0.002471622545272112 0.0004526794364210218 0.01356484554708004 9.829626651480794e-05 0.015694444999098778 0.024044716730713844 0.9734793901443481 0.0003382634022273123
    1.2.826.0.1.3680043.8.498.31148956394667851537859897945638520295 0.01362561248242855 0.21780593693256378 0.8127392530441284 0.028504014015197754 0.05885578319430351 0.5514053106307983 0.2712772488594055 0.10032359510660172 0.3548770844936371 0.5082496404647827 0.0028857530560344458
    1.2.826.0.1.3680043.8.498.94804187993755898357507802733928057280 0.00023143998987507075 0.00014948660100344568 0.0001390989200444892 0.0003195273457095027 0.0005509847542271018 3.735017526196316e-05 0.000373087270418182 0.04112284630537033 0.33577480912208557 0.6507956385612488 0.0002029815223067999
    1.2.826.0.1.3680043.8.498.10650002100647722808233973455756217297 0.0007658606627956033 0.0007948715356178582 0.0013955418253317475 0.0019284605514258146 0.0009857385884970427 0.0010258692782372236 0.0004312257806304842 0.1833169013261795 0.3520866930484772 0.610867440700531 0.0008483676356263459
    1.2.826.0.1.3680043.8.498.67393622811788888870427582843890231798 0.0025358099956065416 0.018249329179525375 0.012640886008739471 0.0018810046603903174 0.01229200791567564 0.0069754282012581825 0.9920552372932434 0.13024625182151794 0.34107083082199097 0.698935866355896 0.004851442761719227
    1.2.826.0.1.3680043.8.498.53354373788835919733937260949497841735 0.00023876488558016717 0.0002854964986909181 0.0004877866304013878 0.0007931811851449311 0.0004558442160487175 0.0006833123625256121 0.00025094844750128686 0.009437285363674164 0.02912091836333275 0.976935863494873 0.00016737381520215422
    1.2.826.0.1.3680043.8.498.11358363745291015408622972509059756201 0.001023996970616281 0.005088746547698975 0.014932030811905861 0.008875207975506783 0.002958182478323579 0.1212051659822464 0.0017095459625124931 0.06003066897392273 0.2895709276199341 0.9154925346374512 0.0019364304607734084
    1.2.826.0.1.3680043.8.498.43811208846877474775401103829256456746 0.0015659896889701486 0.0016903190407902002 0.0009649922139942646 0.002000833861529827 0.002014343161135912 0.0022920104674994946 0.0016178026562556624 0.2005511075258255 0.3924378752708435 0.6185963749885559 0.0018695713952183723
    1.2.826.0.1.3680043.8.498.33459201756002630331153859293642413581 0.0003957619483117014 0.00035314084379933774 0.0004056860343553126 0.0005802866071462631 0.0007996355416253209 0.00021854671649634838 0.0006475165719166398 0.47585830092430115 0.19687969982624054 0.35302120447158813 0.00035758622107096016
    1.2.826.0.1.3680043.8.498.50555404165094776317720932344037864964 8.745367813389748e-05 7.842227205401286e-05 0.00017091570771299303 0.0002564909227658063 0.00032907951390370727 3.992002530139871e-05 0.00017990279593504965 0.0019267800962552428 0.017329636961221695 0.9897650480270386 4.464554876904003e-05
    1.2.826.0.1.3680043.8.498.13094034308265807059699230310471996864 0.003268097760155797 0.004777031484991312 0.005582734011113644 0.007867703214287758 0.020034248009324074 0.011187347583472729 0.11222316324710846 0.0896843746304512 0.3923633396625519 0.5245122909545898 0.0027177336160093546
    1.2.826.0.1.3680043.8.498.32074470571531220846993321901942855588 0.0004597034421749413 0.0005471984040923417 0.001474616234190762 0.001595997833646834 0.0026619124691933393 0.0016717433463782072 0.001967476215213537 0.00537865748628974 0.05595375970005989 0.9512810707092285 0.0002484470314811915
    1.2.826.0.1.3680043.8.498.75353340056388123836847018144537125844 0.00022247180459089577 0.00016697225510142744 0.0002868428418878466 0.0005252403789199889 0.00036811077734455466 0.0002585571783129126 0.0001446560345357284 0.03315857797861099 0.20336227118968964 0.8673465847969055 0.0002437781513435766
    1.2.826.0.1.3680043.8.498.42870161502399285880028691430940810983 0.0023851324804127216 0.031138349324464798 0.7972617149353027 0.01360291987657547 0.06390343606472015 0.06630980223417282 0.4737771153450012 0.10006789863109589 0.2608422040939331 0.3382568359375 0.0005750327254645526
    1.2.826.0.1.3680043.8.498.52811805712515465390994478502807748358 0.000366666994523257 0.0006001314031891525 0.0009320639073848724 0.0008808544953353703 0.0010898720938712358 0.0005674809799529612 0.0009530234965495765 0.07682006806135178 0.6579340100288391 0.4574829936027527 0.00032321130856871605
    1.2.826.0.1.3680043.8.498.65456836420914214341399061374250072750 0.003178592072799802 0.045127637684345245 0.9440685510635376 0.020401572808623314 0.05070464685559273 0.21758630871772766 0.23812130093574524 0.057531099766492844 0.4421144425868988 0.7974566221237183 0.003260331228375435
    1.2.826.0.1.3680043.8.498.59647294598061192851885887095488908719 0.0006721835816279054 0.0012950283708050847 0.0016000212635844946 0.001166986534371972 0.0020109398756176233 0.0001542052923468873 0.01550351269543171 0.2004098892211914 0.2640160620212555 0.6037980318069458 0.0008141283760778606
    1.2.826.0.1.3680043.8.498.43124146804018504895406132839080524686 0.0002974472881760448 0.00016998875071294606 0.000215469190152362 0.00042476411908864975 0.0004923086380586028 0.00010048395779449493 0.0002546143368817866 0.04858390614390373 0.16643087565898895 0.8112137913703918 0.0002774452150333673
    1.2.826.0.1.3680043.8.498.13332152441223529744358456575031760696 0.0002628113143146038 0.00032897753408178687 0.00036240770714357495 0.0007284085731953382 0.00044949157745577395 0.00010286101314704865 0.0005558523116633296 0.08098496496677399 0.7579320669174194 0.3271508514881134 0.00038394492003135383
    1.2.826.0.1.3680043.8.498.64319320847212279045194887490753133625 0.002826238516718149 0.00593798141926527 0.021474651992321014 0.008135491982102394 0.007778277155011892 0.008736422285437584 0.010847406461834908 0.0889989584684372 0.13731661438941956 0.7669581174850464 0.0014611260266974568
    1.2.826.0.1.3680043.8.498.12555883806022504078813307889729662292 0.00022165683913044631 0.00018283468671143055 0.00019589115981943905 0.00038937287172302604 0.00026991302729584277 0.00026905510458163917 0.00011870868183905259 0.41816410422325134 0.04287463426589966 0.6920486092567444 0.00017868071154225618
    1.2.826.0.1.3680043.8.498.81591588647412095296674907598979779310 0.00024761949316598475 0.0003763938439078629 0.0007648124592378736 0.0010653967037796974 0.0005665052449330688 0.0010849848622456193 0.00023640182917006314 0.004759062547236681 0.013383211567997932 0.9900345802307129 0.000109797329059802
    1.2.826.0.1.3680043.8.498.92341820578320420497235899783455634375 0.0001367845688946545 0.00011820536747109145 0.0002588879142422229 0.0002878561499528587 0.0003203534579370171 5.873922418686561e-05 0.0002957664546556771 0.007017024792730808 0.04320497810840607 0.9704998135566711 8.32777950563468e-05
    1.2.826.0.1.3680043.8.498.11319465474873753251812242533406897994 0.0002588813076727092 0.0003123795031569898 0.00025394055410288274 0.0003034902620129287 0.0005532364011742175 7.203481800388545e-05 0.0004894727608188987 0.09676147252321243 0.46040964126586914 0.4912315309047699 0.00027451198548078537
    1.2.826.0.1.3680043.8.498.44206761043665717217272211188330584694 0.000615515629760921 0.03734517842531204 0.884495735168457 0.0018834058428183198 0.0164266936480999 0.001598796108737588 0.7148269414901733 0.00854412466287613 0.038271330296993256 0.97895747423172 0.0002000139356823638
    1.2.826.0.1.3680043.8.498.28840589861931970309557499495568396744 0.002024079905822873 0.0026914458721876144 0.001921257353387773 0.0029065522830933332 0.004724299069494009 0.0005738819600082934 0.012373427860438824 0.4643405079841614 0.24588032066822052 0.40848326683044434 0.0032900311052799225
    1.2.826.0.1.3680043.8.498.12056554893283376015253236516515281325 0.0020858803763985634 0.0008512747590430081 0.0006701770471408963 0.022899553179740906 0.05452489107847214 0.0549682192504406 0.1885846108198166 0.020444199442863464 0.07658955454826355 0.9522219896316528 0.0014082405250519514
    1.2.826.0.1.3680043.8.498.67490368102912384621118246597257521123 0.0002812163147609681 0.00025598195497877896 0.0003764900320675224 0.0004568657896015793 0.00074768130434677 8.498306851834059e-05 0.00039888283936306834 0.02335134521126747 0.1159261018037796 0.8773223161697388 0.00018629766418598592
    1.2.826.0.1.3680043.8.498.75866374490018213162639959426082210167 0.0002119498822139576 0.00015790645556990057 0.00014800025383010507 0.0005582690937444568 0.000273012847173959 0.00014254845154937357 0.0001299986761296168 0.03502795845270157 0.08024296909570694 0.9182437062263489 0.00019394420087337494
    1.2.826.0.1.3680043.8.498.67312508546144411625932922814992983489 0.0001444083172827959 0.00010683259461075068 0.0001286502811126411 0.0003858718555420637 0.0002111216017510742 0.00021061452571302652 4.492528023547493e-05 0.02681734599173069 0.08572481572628021 0.9371376037597656 0.000124472746392712
    1.2.826.0.1.3680043.8.498.28857265801083974170493310783943224100 0.00031319091795012355 0.00037101207999512553 0.000942766317166388 0.0006325703579932451 0.0011532504577189684 0.00010989092697855085 0.0012500309385359287 0.008685366250574589 0.04074491932988167 0.9712745547294617 0.00014124970766715705
    1.2.826.0.1.3680043.8.498.70698883675602181482926555440665199978 0.0003242639359086752 0.0004335212579462677 0.0009040815057232976 0.0008038093219511211 0.0008131765061989427 0.0007052802247926593 0.0010713196825236082 0.02750043198466301 0.19445988535881042 0.8821532130241394 0.0003595459565985948
    1.2.826.0.1.3680043.8.498.25266041684410437200645466330235130717 0.00033538744901306927 0.00028222292894497514 0.0008958997204899788 0.0006071563111618161 0.0008893258636817336 0.0001611323532415554 0.0005312853027135134 0.017068935558199883 0.022095363587141037 0.9675731658935547 0.00014289891987573355
    1.2.826.0.1.3680043.8.498.75034062681917933458647455923351135215 0.0006269132136367261 0.001409161719493568 0.0010431435657665133 0.0008737780153751373 0.0013495766324922442 0.0005288890679366887 0.0031635151244699955 0.22625799477100372 0.2620828151702881 0.6463969945907593 0.0011616299161687493
    1.2.826.0.1.3680043.8.498.80404120412264226944021572533940582434 0.00020295145804993808 0.0001872278080554679 0.0002493407519068569 0.0003416517865844071 0.0002720295451581478 0.00016896231682039797 9.442352165933698e-05 0.009508016519248486 0.0489954873919487 0.9338552355766296 9.629320265958086e-05
    1.2.826.0.1.3680043.8.498.13055646939152920758745808156142462288 0.026419391855597496 0.15321414172649384 0.10360310971736908 0.039456166326999664 0.08264414221048355 0.008033803664147854 0.810491681098938 0.09989164769649506 0.23658457398414612 0.4984244704246521 0.005245686508715153
    1.2.826.0.1.3680043.8.498.18474122513314527857291073728968464068 0.00020686545758508146 0.00042387080611661077 0.0011042224941775203 0.00030446978053078055 0.0006291330209933221 0.000339218124281615 0.0017095813527703285 0.024564122781157494 0.12001161277294159 0.9253590703010559 0.00025407085195183754
    1.2.826.0.1.3680043.8.498.10344513744257122956528189239812004991 0.0002965661697089672 0.0002049661270575598 0.0003225140389986336 0.0004630170878954232 0.0007244261214509606 9.762642730493098e-05 0.0003244946710765362 0.018193693831562996 0.10968707501888275 0.9406547546386719 0.00018742804240901023
    1.2.826.0.1.3680043.8.498.75491081941821394560063005654827088245 0.0005319818155840039 0.0009486681665293872 0.0018104976043105125 0.0006983083439990878 0.0017316325102001429 0.00010404105705674738 0.02013448439538479 0.1749325394630432 0.32346588373184204 0.5377973318099976 0.0005696431617252529
    1.2.826.0.1.3680043.8.498.10512610303792207096575888166406929348 0.0003505360509734601 0.0002880037063732743 0.00037613773019984365 0.0008755263988859951 0.0003368666802998632 0.0008228848455473781 9.784995199879631e-05 0.4695464074611664 0.25148481130599976 0.2698884904384613 0.000366500171367079
    1.2.826.0.1.3680043.8.498.10111478714279479064438338794096128520 0.0004094168543815613 0.0005938512040302157 0.0018305998528376222 0.003531014546751976 0.0007128023426048458 0.00610837247222662 0.0004098305362276733 0.006175029091536999 0.014953164383769035 0.9879909753799438 0.0006531232502311468
    1.2.826.0.1.3680043.8.498.40381630026402560216253354477113403615 0.01163888443261385 0.12633433938026428 0.5325477719306946 0.02934896945953369 0.02053684927523136 0.7614108324050903 0.06739557534456253 0.04296554997563362 0.11565428972244263 0.9418636560440063 0.9740030169487
    1.2.826.0.1.3680043.8.498.10186878152788872400292513508357485179 0.00031131214927881956 0.00045167942880652845 0.001167068025097251 0.0006939017330296338 0.0006073350086808205 0.0012976796133443713 0.0003247496788389981 0.09095245599746704 0.5443305373191833 0.6182010769844055 0.0003814640804193914
    1.2.826.0.1.3680043.8.498.32452582463404869696159679336779770172 0.0003704454284161329 0.0002672215923666954 0.00028099643532186747 0.0007345369085669518 0.0010624064598232508 0.00011198438005521894 0.0004759049043059349 0.2187865674495697 0.2439563274383545 0.515668511390686 0.00032708427170291543
    1.2.826.0.1.3680043.8.498.11965947234916456530165523437621002999 0.0004991356981918216 0.0006323583656921983 0.0005528035690076649 0.0007044915691949427 0.001060567214153707 7.07590370438993e-05 0.0024336823262274265 0.04911605641245842 0.14171044528484344 0.8285238146781921 0.00035900052171200514
    1.2.826.0.1.3680043.8.498.10794734305703376190677890065983527008 0.0002953043149318546 0.00022668563178740442 0.00021213576837908477 0.0004279902786947787 0.0006189842242747545 4.145311686443165e-05 0.00036885609733872116 0.023250233381986618 0.23275260627269745 0.7999114990234375 0.0002754581510089338
    1.2.826.0.1.3680043.8.498.96185588042519801274891280646810366707 0.00021632146672345698 0.00020892813336104155 0.00032646037288941443 0.00048215064452961087 0.000313964526867494 0.00048761689686216414 9.313445480074733e-05 0.05316014960408211 0.09409573674201965 0.8511108160018921 0.0002195470005972311
    1.2.826.0.1.3680043.8.498.74667359552797118868143665716542839708 0.0009071115637198091 0.0016770123038440943 0.004156201612204313 0.002651338232681155 0.003957822453230619 0.005885142832994461 0.005593765992671251 0.026285743340849876 0.09687131643295288 0.9279676675796509 0.0013476063031703234
    1.2.826.0.1.3680043.8.498.32400212081082809016828108352524409364 0.00028667491278611124 0.00016698810213711113 0.0002368789864704013 0.0006508884252980351 0.000342692481353879 0.00038311522803269327 8.696936129126698e-05 0.05339604616165161 0.13062594830989838 0.7790508270263672 0.00028463086346164346
    1.2.826.0.1.3680043.8.498.62372436194954767992739290849894462083 0.0006609997944906354 0.0005582018056884408 0.0006920892046764493 0.0011793908197432756 0.0017211079830303788 0.000135554262669757 0.0013771215453743935 0.018613038584589958 0.15171219408512115 0.8465949892997742 0.0004174570203758776
    1.2.826.0.1.3680043.8.498.80823974557694476594702166638307231715 0.0009159194305539131 0.0010037124156951904 0.001769499620422721 0.0014440783997997642 0.002725381636992097 0.00028966314857825637 0.004175915382802486 0.04488102346658707 0.2011948525905609 0.7551161646842957 0.0007438226602971554
    1.2.826.0.1.3680043.8.498.51044923320223950669185505550363447172 0.0002827362040989101 0.0002753653679974377 0.0003484546032268554 0.0008217405411414802 0.0002557144907768816 0.0010839892784133554 5.292169953463599e-05 0.04203290864825249 0.29852861166000366 0.653566837310791 0.00031111270072869956
    1.2.826.0.1.3680043.8.498.42968083092055105339045555435629232010 0.0001965459669008851 0.0002990650827996433 0.00046247290447354317 0.0004355020937509835 0.00016152959142345935 0.0011109818005934358 3.2819141779327765e-05 0.01335095427930355 0.22011438012123108 0.8220036625862122 0.00015892232477199286
    1.2.826.0.1.3680043.8.498.11696015398467113616908815663881198411 0.00021526422642637044 0.00016892868734430522 0.00012313347542658448 0.0004475577734410763 0.0002750583225861192 9.148623939836398e-05 0.0001577327202539891 0.11949608474969864 0.5338300466537476 0.4417438507080078 0.00023191733635030687
    1.2.826.0.1.3680043.8.498.23238503379912373698019013525472123640 0.00025762393488548696 0.0002739782794378698 0.0005593615351244807 0.0005306203966028988 0.0007650568732060492 0.0001492290321039036 0.000438155751908198 0.007386206183582544 0.02101765014231205 0.9707427024841309 0.00012141917977714911
    1.2.826.0.1.3680043.8.498.15666523955639361776441663102296499538 0.0012542202603071928 0.0026570986956357956 0.011740477755665779 0.010315751656889915 0.0027435056399554014 0.022179853171110153 0.006401958875358105 0.12593629956245422 0.16985027492046356 0.7665899991989136 0.004512229934334755
    1.2.826.0.1.3680043.8.498.82045322590606150066498825603131057133 0.0002161789161618799 0.00011998281115666032 0.00017250952078029513 0.0005764715606346726 0.0005494473734870553 0.0004486564139369875 0.0002424348786007613 0.04973271116614342 0.6323111653327942 0.3384794294834137 0.00034809322096407413
    1.2.826.0.1.3680043.8.498.12809035113776616936187449020234870792 0.0003049749066121876 0.0009213650482706726 0.0008293280261568725 0.00033271792926825583 0.00043338671093806624 4.284400347387418e-05 0.004443323239684105 0.14502613246440887 0.3498082756996155 0.6453682780265808 0.0002681210171431303
    1.2.826.0.1.3680043.8.498.10622734988176306121035251537369563929 0.00022852022084407508 0.0003799638361670077 0.0011884694686159492 0.001500033074989915 0.00043605928658507764 0.0029641534201800823 0.0001363429764751345 0.00700894370675087 0.040257640182971954 0.9702089428901672 0.00028921710327267647
    1.2.826.0.1.3680043.8.498.40130894531536874437697443451566295181 0.0001826559891924262 0.0004257597611285746 0.0005047727609053254 0.00023666699416935444 0.00041220785351470113 8.351105498149991e-05 0.0006095402059145272 0.1122099906206131 0.6706154942512512 0.530284583568573 0.00022422596521209925
    1.2.826.0.1.3680043.8.498.56679865291742469383678820905492719076 0.0004916924517601728 0.0007431610720232129 0.000929430010728538 0.00098811078350991 0.0012706068810075521 0.0001274862588616088 0.0030313744209706783 0.1920645534992218 0.780337929725647 0.1104407086968422 0.0005318389157764614
    1.2.826.0.1.3680043.8.498.49642487657326068262650659963116443959 0.0004030641575809568 0.0004059008206240833 0.0006876916158944368 0.0008426962303929031 0.0014456117060035467 0.00014436703349929303 0.001160576706752181 0.02302766591310501 0.133035808801651 0.8582843542098999 0.00031624455004930496
    1.2.826.0.1.3680043.8.498.21754086617577647504772702589387977994 0.0032811681739985943 0.05701541155576706 0.6181856989860535 0.03154942765831947 0.04909282177686691 0.3708294928073883 0.13943800330162048 0.0961870551109314 0.6747587323188782 0.45122289657592773 0.0007361717289313674
    1.2.826.0.1.3680043.8.498.10563983282112728017312912862920398672 0.00019968021661043167 0.00023499460075981915 0.0003762286505661905 0.000523936003446579 0.00030600273748859763 0.0006200576899573207 6.385699089150876e-05 0.03493143990635872 0.0261461790651083 0.9690638780593872 0.00012060505105182528
    1.2.826.0.1.3680043.8.498.80485731318076082078534079152373348710 0.0004904550733044744 0.00041740815504454076 0.0007105566328391433 0.0008958202670328319 0.0008871120517142117 0.00013038868200965226 0.0003135584120173007 0.06668980419635773 0.17768049240112305 0.7811140418052673 0.0003274758637417108
    1.2.826.0.1.3680043.8.498.10537356830517228018354450202090325629 0.0003955913707613945 0.0003024559700861573 0.00042695639422163367 0.0021861304994672537 0.00039601902244612575 0.0022661276161670685 0.00013869479880668223 0.26358842849731445 0.04913494735956192 0.7741153836250305 0.0005676473374478519
    1.2.826.0.1.3680043.8.498.12395495974937225416600052580948354301 0.00024855887750163674 0.002512086182832718 0.983232855796814 0.011593909934163094 0.01830088160932064 0.1787014603614807 0.01055828295648098 0.022409386932849884 0.06418107450008392 0.8570960760116577 0.00021566287614405155
    1.2.826.0.1.3680043.8.498.59130833964419671727543918096013943908 9.262967796530575e-05 5.871708708582446e-05 6.850789941381663e-05 0.0002290864213136956 0.00015367462765425444 0.00016838734154589474 4.337457357905805e-05 0.007160411681979895 0.053157489746809006 0.9439698457717896 0.000167909573065117
    1.2.826.0.1.3680043.8.498.18437866423370928415694996309294461381 0.00016760543803684413 0.0001596098591107875 0.00016413179400842637 0.0002391580055700615 0.00033022798015736043 2.8282374842092395e-05 0.0004020804481115192 0.008522404357790947 0.13507236540317535 0.8854621648788452 0.00012317157234065235
    1.2.826.0.1.3680043.8.498.12895637047326430779281872988580192267 0.00162341573741287 0.027983536943793297 0.9577401280403137 0.004776942543685436 0.029842764139175415 0.1256687343120575 0.9054772257804871 0.08660364151000977 0.3062324523925781 0.8537954092025757 0.011056782677769661
    1.2.826.0.1.3680043.8.498.66258451832988223644376232717973651457 0.00020267744548618793 0.00023950167815200984 0.0003960571193601936 0.00025043642381206155 0.0002514275547582656 0.00020865778787992895 0.00019104397506453097 0.036335766315460205 0.059686046093702316 0.9362488985061646 0.0001424506917828694
    1.2.826.0.1.3680043.8.498.10744900570689150152380720602059076482 0.00014889173326082528 0.00011796718172263354 0.00012919418804813176 0.0002302697830600664 0.0003137671446893364 5.60300650249701e-05 0.00013918904005549848 0.012511836364865303 0.07855622470378876 0.9216741323471069 9.745011630002409e-05
    1.2.826.0.1.3680043.8.498.53453107086141013121184396989207147945 0.00035185032174922526 0.00041079637594521046 0.00041512242751196027 0.0005992723745293915 0.0009951392421498895 9.512271208222955e-05 0.0013641428668051958 0.01568889245390892 0.14419840276241302 0.8535817265510559 0.0002078595571219921
    1.2.826.0.1.3680043.8.498.12632709305451850202909107533592831265 0.00015941032324917614 0.0001227610482601449 0.00027978100115433335 0.00048395106568932533 0.00026955961948260665 0.00042016440420411527 5.753557707066648e-05 0.017396625131368637 0.023173309862613678 0.9693930745124817 0.00010865287913475186
    1.2.826.0.1.3680043.8.498.23672300663349752117056602997511339134 0.00025801124866120517 0.0002863121044356376 0.00018168255337513983 0.0004795006534550339 0.00039769854629412293 0.00012743484694510698 0.00043755577644333243 0.043737880885601044 0.44569021463394165 0.6101745367050171 0.00022393054678104818
    1.2.826.0.1.3680043.8.498.18557693346338246179801745601347937726 0.0004337450081948191 0.00040708197047933936 0.0003896724956575781 0.0006294463528320193 0.0007593475165776908 0.0003106524527538568 0.0003718594671227038 0.4340955317020416 0.46961361169815063 0.13623620569705963 0.0007594050839543343
    1.2.826.0.1.3680043.8.498.32327683235023980314664391639367347152 0.00018386619922239333 0.0002050507318926975 0.0001988833537325263 0.0002437070943415165 0.00028187152929604053 1.281624827242922e-05 0.0018473239615559578 0.016698436811566353 0.0801772028207779 0.9398699998855591 0.00011773306323448196
    1.2.826.0.1.3680043.8.498.63621973361459012399207672820307228897 0.00011564338637981564 7.847449160180986e-05 0.00015345055726356804 0.00025252517662011087 0.00024151141406036913 9.460352885071188e-05 7.101692608557642e-05 0.006136385723948479 0.10762634128332138 0.9268711805343628 9.637474431656301e-05
    1.2.826.0.1.3680043.8.498.59976872393984444252140135112095659493 0.0006302714464254677 0.00042924709850922227 0.0003717447689268738 0.001980910077691078 0.00393646489828825 0.0025609221775084734 0.007348855026066303 0.020190129056572914 0.2656109631061554 0.8217681050300598 0.0008648211369290948
    1.2.826.0.1.3680043.8.498.47930330933786699344551930273883158425 0.006961722858250141 0.060074616223573685 0.7258294820785522 0.029720719903707504 0.13861386477947235 0.0922727882862091 0.38717958331108093 0.06087098270654678 0.170922189950943 0.9188623428344727 0.04337051510810852
    1.2.826.0.1.3680043.8.498.25642039930343306045883597015384096600 0.0010497508337721229 0.0015163153875619173 0.0033202827908098698 0.0029142401181161404 0.0012595233274623752 0.01623520441353321 0.0006251276354305446 0.3519108295440674 0.2286003828048706 0.5718566179275513 0.0026150941848754883
    1.2.826.0.1.3680043.8.498.90829245433739309076069406518945395661 0.0005231476970948279 0.0004860130720771849 0.0004602682893164456 0.001041060546413064 0.0014445707201957703 0.00017064969870261848 0.000705757352989167 0.3061888813972473 0.43259167671203613 0.23568515479564667 0.0006692450260743499
    1.2.826.0.1.3680043.8.498.57861547777949891329608040113851265899 0.00024903658777475357 0.0002196815621573478 0.0006127158412709832 0.0018847162136808038 0.0007509272545576096 0.0019659320823848248 0.00022531711147166789 0.8824774026870728 0.02640954777598381 0.14117731153964996 0.0003267019637860358
    1.2.826.0.1.3680043.8.498.95875870080543579071622405116997771450 0.00013860821491107345 0.00013863439380656928 0.00019655132200568914 0.0002833660691976547 0.00013149218284524977 0.000456673966255039 3.8258447602856904e-05 0.05067620798945427 0.3893609941005707 0.563323438167572 0.00017123029101639986
    1.2.826.0.1.3680043.8.498.11232956795017755763105624030724038391 7.309911597985774e-05 6.36871118331328e-05 0.00010329775977879763 0.00027323822723701596 8.301487832795829e-05 0.00025494038709439337 2.461779149598442e-05 0.005653236526995897 0.11345787346363068 0.9471869468688965 0.00012263853568583727
    1.2.826.0.1.3680043.8.498.92206146607305309879468871500831801740 0.0001989012525882572 0.00019980993238277733 0.00029098059167154133 0.00044382308260537684 0.0005813350435346365 6.564754585269839e-05 0.00041199466795660555 0.0040838588029146194 0.03776431083679199 0.9690166711807251 0.00010364176705479622
    1.2.826.0.1.3680043.8.498.68498361843964890791898891999533278389 0.004926369059830904 0.04531155154109001 0.9217790365219116 0.022403467446565628 0.04256986081600189 0.3202989101409912 0.37341436743736267 0.055521875619888306 0.15434539318084717 0.9444158673286438 0.9927879571914673
    1.2.826.0.1.3680043.8.498.48372970592882412785638910116360292544 0.008993792347609997 0.17111042141914368 0.517428457736969 0.004318521823734045 0.019194671884179115 0.016957508400082588 0.8954965472221375 0.14414331316947937 0.5241392850875854 0.45826083421707153 0.005452432669699192
    1.2.826.0.1.3680043.8.498.37332593197151314344642009531177307154 0.00016129792493302375 0.00016800229786895216 0.0002163366589229554 0.00029926307615824044 0.00026281047030352056 0.00020656443666666746 0.00014439091319218278 0.026586662977933884 0.03895792365074158 0.9549827575683594 0.00014756529708392918
    1.2.826.0.1.3680043.8.498.11661758855954185793457880530096714616 0.0002999412245117128 0.0005934482906013727 0.0010866031516343355 0.0005964463343843818 0.0008411771850660443 0.00025131303118541837 0.0008442841353826225 0.013367349281907082 0.027262652292847633 0.9758350253105164 0.00011394241300877184
    1.2.826.0.1.3680043.8.498.93383521512183665539444921342815286897 0.009431438520550728 0.022966846823692322 0.04010298103094101 0.056418657302856445 0.1313725858926773 0.23794260621070862 0.4352998733520508 0.015616483986377716 0.08411063253879547 0.9680148363113403 0.0038314603734761477
    1.2.826.0.1.3680043.8.498.23685757505094109817378546234750862896 0.00022486140369437635 0.00027366200811229646 0.000595147255808115 0.0007098633795976639 0.00024944753386080265 0.0018468881025910378 8.28727861517109e-05 0.023524269461631775 0.1062285453081131 0.8844391107559204 0.0002573964302428067
    1.2.826.0.1.3680043.8.498.81212264211775923778651426307994428607 0.001407385803759098 0.002604697598144412 0.0036372672766447067 0.002132836729288101 0.003489381866529584 0.000208359764656052 0.008655517362058163 0.16995349526405334 0.3974130153656006 0.6794114112854004 0.0010000120382755995
    1.2.826.0.1.3680043.8.498.11498624354820591873755371835277411023 0.013807110488414764 0.038062214851379395 0.02313031256198883 0.047979794442653656 0.09726420789957047 0.4138985574245453 0.40842461585998535 0.20312872529029846 0.28751274943351746 0.38294970989227295 0.005686250980943441
    1.2.826.0.1.3680043.8.498.98850353041713034950781436152198795199 0.00026486197020858526 0.0003687486459966749 0.00046136282617226243 0.00037665170384570956 0.0002917605161201209 0.0011239583836868405 9.802878776099533e-05 0.020967775955796242 0.09350302070379257 0.9094451069831848 0.00021367566660046577
    1.2.826.0.1.3680043.8.498.95122511450158161319630541499634750440 0.0004371654358692467 0.00033546658232808113 0.0003838599077425897 0.0008885118877515197 0.0010704040760174394 0.0001260097196791321 0.0008030938915908337 0.13928069174289703 0.4727443754673004 0.3998226523399353 0.00044552067993208766
    1.2.826.0.1.3680043.8.498.64180992835700803936221118167182061797 0.000467272155219689 0.0004792679101228714 0.0007004434592090547 0.000947008840739727 0.0006687427521683276 0.000830384436994791 0.0006192807923071086 0.0772193893790245 0.12487398087978363 0.8357135653495789 0.0004906897665932775
    1.2.826.0.1.3680043.8.498.53918846886052370348965063126521039230 0.008252969942986965 0.03821566700935364 0.20830199122428894 0.051580727100372314 0.09516938030719757 0.20140734314918518 0.14872264862060547 0.04849998280405998 0.08908456563949585 0.9130381345748901 0.003060703631490469
    1.2.826.0.1.3680043.8.498.10476486809857717696820052487428801462 0.0001376400759909302 0.00011832577729364857 0.00020251150999683887 0.0004649606125894934 0.0002928785979747772 9.770367614692077e-05 0.00010160690726479515 0.009521356783807278 0.20993809401988983 0.8919093012809753 0.00010608878073981032
    1.2.826.0.1.3680043.8.498.11751251286227912539071901348906707739 0.00045034621143713593 0.0004631278570741415 0.0007010975969024003 0.0010466332314535975 0.002401403384283185 0.00011468399316072464 0.0025842066388577223 0.00477596465498209 0.04786735773086548 0.9788702130317688 0.00023242610041052103
    1.2.826.0.1.3680043.8.498.26882874557750197322553629364989547146 0.000554444850422442 0.0010829938109964132 0.0014043652918189764 0.00103003962431103 0.0020521474070847034 0.000263517489656806 0.005489847622811794 0.02010759897530079 0.16259899735450745 0.8960183262825012 0.00042341003427281976
    1.2.826.0.1.3680043.8.498.12909838868312103230072590460066658764 0.0003284190024714917 0.00034547498216852546 0.0011577082332223654 0.0014632751699537039 0.000929328438360244 0.0011448038276284933 0.00021171192929614335 0.06431616842746735 0.11810531467199326 0.8254899978637695 0.00042406594729982316
    1.2.826.0.1.3680043.8.498.10560542500659302354273480134596764530 0.0034393344540148973 0.2135154753923416 0.781377911567688 0.019923916086554527 0.00395469693467021 0.9369229078292847 0.01284104771912098 0.05646166950464249 0.1725437343120575 0.6863191723823547 0.002278131665661931
    1.2.826.0.1.3680043.8.498.54359217837176882587790301539763404977 0.00040285149589180946 0.0005137804546393454 0.0007242685533128679 0.0012366457376629114 0.0005829362198710442 0.0019377500284463167 0.00023742362100165337 0.03318952023983002 0.3750041127204895 0.6271762847900391 0.0008199361036531627
    1.2.826.0.1.3680043.8.498.31681433766911921073867669141175403260 0.00037604907993227243 0.0005267623928375542 0.000810355762951076 0.0006224191747605801 0.001052845735102892 0.0002389848232269287 0.0008979907142929733 0.010822121053934097 0.06719028949737549 0.9418708682060242 0.00017257590661756694
    1.2.826.0.1.3680043.8.498.67238847089694621353641243768469655726 0.050327133387327194 0.5890657305717468 0.29980793595314026 0.0058882031589746475 0.021250586956739426 0.026024308055639267 0.9303563833236694 0.15443678200244904 0.34546536207199097 0.4112170338630676 0.005879787728190422
    1.2.826.0.1.3680043.8.498.74774308622451760726252575193324666216 0.00013114698231220245 0.0001009334228001535 0.0002178679860662669 0.0002852859615813941 0.0001787817309377715 0.0002260238106828183 2.5961126084439456e-05 0.025230348110198975 0.102266326546669 0.8725520968437195 0.00013335986295714974
    1.2.826.0.1.3680043.8.498.13757789481976688464200786842052752492 0.00039014246431179345 0.00022292588255368173 0.00022447589435614645 0.0005807820707559586 0.0005420090747065842 0.00017295512952841818 0.00021327794820535928 0.11881189048290253 0.05433917045593262 0.868248462677002 0.00020184743334539235
    1.2.826.0.1.3680043.8.498.20274205985331295327235973989365096264 0.0003215668839402497 0.0004005699011031538 0.00028585648396983743 0.00040376605466008186 0.0006340752588585019 5.319243064150214e-05 0.000608406844548881 0.044124405831098557 0.0633714348077774 0.9450997114181519 0.00023538312234450132
    1.2.826.0.1.3680043.8.498.45425911139364967699031140779168916784 0.00020109827164560556 0.00019346662156749517 0.0002287776442244649 0.0003576501621864736 0.00048680586041882634 2.3468253857572563e-05 0.023246318101882935 0.0896085873246193 0.9304815530776978 0.00014125349116511643
    1.2.826.0.1.3680043.8.498.92207247833471528423737067256220485693 0.00031055608997121453 0.00024992990074679255 0.0002762876101769507 0.0007485895184800029 0.0005055373767390847 0.0001902923104353249 0.0003130479308310896 0.011155182495713234 0.06519456952810287 0.9461256265640259 0.00023180307471193373
    1.2.826.0.1.3680043.8.498.10155313175602579983740025594762947881 0.0002085710148094222 0.00018697140330914408 0.0003752753254957497 0.0004969513975083828 0.00044067302951589227 0.00015554053243249655 0.00026273709954693913 0.007590274326503277 0.14396393299102783 0.9073759317398071 0.0001587508450029418
    1.2.826.0.1.3680043.8.498.58018085728795832782439267802779245176 0.00015993532724678516 9.599905752111226e-05 0.00013422615302260965 0.00028912577545270324 0.000386062019970268 1.910509672597982e-05 0.0002646912762429565 0.00778554379940033 0.10968555510044098 0.9323606491088867 7.81136259320192e-05
    1.2.826.0.1.3680043.8.498.45729470680888154263290200405508226941 0.0004492616862989962 0.00035381040652282536 0.0007276301621459424 0.0010511887958273292 0.0015760516980662942 0.0003555973235052079 0.0008850782178342342 0.009250958450138569 0.05120145156979561 0.9633628726005554 0.00026125102885998785
    1.2.826.0.1.3680043.8.498.12757156828559108408767706876868537692 0.00028384721372276545 0.00030235559097491205 0.0003696175408549607 0.0007634931243956089 0.00038616423262283206 0.0008159686112776399 0.00020830993889831007 0.0505094937980175 0.7305662035942078 0.2571120262145996 0.00030150049133226275
    1.2.826.0.1.3680043.8.498.10803822655152196734665598989651163439 0.012466883286833763 0.3146619200706482 0.5128964185714722 0.011743990704417229 0.03816157206892967 0.00865525659173727 0.9567618370056152 0.09522753208875656 0.23865310847759247 0.11895959079265594 0.0009543182095512748
    1.2.826.0.1.3680043.8.498.10692867934582049999305736898961994648 0.00021001408458687365 0.00035164208384230733 0.00045388092985376716 0.0007564103580079973 0.0001515641197329387 0.0025110782589763403 4.031878779642284e-05 0.044824596494436264 0.1654808223247528 0.785780668258667 0.00031948700780048966
    1.2.826.0.1.3680043.8.498.88701858934715099754626371697015723822 0.0002307591785211116 0.0003165152156725526 0.0005262417253106833 0.0006469281506724656 0.0003826641768682748 0.0009074617992155254 0.00010975791519740596 0.006665757857263088 0.06325601041316986 0.965631365776062 0.00013137643691152334
    1.2.826.0.1.3680043.8.498.26681613610664044705096971295864299605 0.002203692216426134 0.04222627356648445 0.9358201026916504 0.04038548842072487 0.034472253173589706 0.5952222943305969 0.05533956363797188 0.04773802310228348 0.16009287536144257 0.18114545941352844 0.004433074966073036
    1.2.826.0.1.3680043.8.498.39251057117622524709034833108641074619 0.0005842697573825717 0.0007714985404163599 0.0006250151782296598 0.0008847460267134011 0.0005115715903230011 0.002899319399148226 0.0009253972093574703 0.22980661690235138 0.2495667040348053 0.6987083554267883 0.0006555674481205642
    1.2.826.0.1.3680043.8.498.64266484601260889389131784960444303537 0.00020895790657959878 0.00024487831979058683 0.0005271578556858003 0.0007450574194081128 0.00020236191630829126 0.0016706049209460616 3.113954880973324e-05 0.16383928060531616 0.09023876488208771 0.7747970819473267 0.00029658651328645647
    1.2.826.0.1.3680043.8.498.23871340695319372514814334815626429023 0.0012292815372347832 0.0013935989700257778 0.0011475777719169855 0.0025897023733705282 0.0043731918558478355 0.0004181281547062099 0.00468963198363781 0.019997574388980865 0.12624450027942657 0.8862591981887817 0.0006582672940567136
    1.2.826.0.1.3680043.8.498.10377037055911442717824865397867334982 0.00019811198581010103 0.00014041300164535642 0.0002275300503242761 0.0003652891027741134 0.0002393926988588646 0.00022996656480245292 0.00010668497998267412 0.058460257947444916 0.09209541976451874 0.814465343952179 0.00019697079551406205
    1.2.826.0.1.3680043.8.498.12351641403492057559644964216877812447 0.010576162487268448 0.12086284160614014 0.8276451230049133 0.013193845748901367 0.07356003671884537 0.03277601674199104 0.4719464182853699 0.04805023968219757 0.19837608933448792 0.8215588331222534 0.00545860780403018
    1.2.826.0.1.3680043.8.498.39163477319512678618031251995541049011 0.00037533583235926926 0.0010600205278024077 0.0016376767307519913 0.0005070895422250032 0.0010158739751204848 0.00018758189980871975 0.031194210052490234 0.0077437893487513065 0.05466208979487419 0.981463611125946 0.0003840362187474966
    1.2.826.0.1.3680043.8.498.85210706391179246322841223528770504037 0.0003891836677212268 0.00033340236404910684 0.00048797251656651497 0.0009994207648560405 0.0005102312425151467 0.0005016711074858904 0.00012999356840737164 0.034329090267419815 0.045008279383182526 0.933626651763916 0.00026038847863674164
    1.2.826.0.1.3680043.8.498.85696153852718683568360500407461570882 0.0025894304271787405 0.002125393832102418 0.00210491381585598 0.006353436969220638 0.016180451959371567 0.0020022564567625523 0.017324278131127357 0.22103877365589142 0.2919774651527405 0.44162797927856445 0.0015555719146504998
    1.2.826.0.1.3680043.8.498.33299463833831591276599568593536059548 0.0005977953551337123 0.0005944428266957402 0.0012151544215157628 0.001631151302717626 0.000819419336039573 0.0024891674984246492 0.00017315572767984122 0.18589434027671814 0.42576995491981506 0.4962943494319916 0.0008792723529040813
    1.2.826.0.1.3680043.8.498.53050437207044450123458653774782860418 0.0004062132793478668 0.0004786006757058203 0.0007571185706183314 0.0008589893695898354 0.0011708273086696863 8.435834752162918e-05 0.0006521023460663855 0.07639604806900024 0.5179538130760193 0.5575482249259949 0.0003590920241549611
    1.2.826.0.1.3680043.8.498.94905052051686903352477398941452118607 0.00462273508310318 0.08025682717561722 0.8789925575256348 0.01567104272544384 0.05687068775296211 0.04683207720518112 0.7777261137962341 0.14637847244739532 0.3068360388278961 0.4149598181247711 0.0023317867890000343
    1.2.826.0.1.3680043.8.498.76956838659414593592248847826954593523 0.000928828667383641 0.0014188236091285944 0.002835093531757593 0.0014040992828086019 0.002128209453076124 0.000616764067672193 0.003317115129902959 0.350734144449234 0.4926603436470032 0.3556881546974182 0.0016013039276003838
    1.2.826.0.1.3680043.8.498.58817484136823581352973117085470272858 0.00010552804451435804 8.489395986543968e-05 0.00012825736484955996 0.00019266625167801976 0.00025372454547323287 3.6524077586364e-05 0.0001455732126487419 0.005071617197245359 0.032897938042879105 0.9693248867988586 5.487692396854982e-05
    1.2.826.0.1.3680043.8.498.26924699585155212315882268052473545075 0.00027742990641854703 0.00037896056892350316 0.0008345323731191456 0.0006027136696502566 0.0011570940259844065 5.583084566751495e-05 0.0014316707383841276 0.0061984495259821415 0.029206713661551476 0.970677375793457 9.696638880996034e-05
    1.2.826.0.1.3680043.8.498.96154222694757788294139454663982480982 0.00016948979464359581 0.0002674839925020933 0.0002981086145155132 0.00023457067436538637 0.0005218182923272252 3.940258829970844e-05 0.0008499946561641991 0.08379432559013367 0.6602367162704468 0.303679883480072 0.00020367707475088537
    1.2.826.0.1.3680043.8.498.11855812953153729918337330849750703863 0.0024088697973638773 0.00836664903908968 0.019230611622333527 0.018642568960785866 0.009071903303265572 0.5039089918136597 0.010077154263854027 0.06469891220331192 0.39621502161026 0.8141899108886719 0.007265772670507431
    1.2.826.0.1.3680043.8.498.69052465096402548984954193766576257968 0.0001462393265683204 0.00014489215391222388 0.00028510490665212274 0.00026674961554817855 0.00037202646490186453 5.766644608229399e-05 0.0002257669548271224 0.006521923933178186 0.021193433552980423 0.9812031984329224 6.981188198551536e-05
    1.2.826.0.1.3680043.8.498.14404710974970924465081523942713461885 0.00025805289624258876 0.0003262639220338315 0.0003264427068643272 0.0004150740278419107 0.0007637842791154981 4.728699059342034e-05 0.0018490224611014128 0.014395196922123432 0.4401000440120697 0.7814161777496338 0.0002530497149564326
    1.2.826.0.1.3680043.8.498.10061261298273879010959674421067474148 0.0003414952661842108 0.0002579682623036206 0.00028620194643735886 0.002169853774830699 0.0005525507731363177 0.0009711207821965218 0.0002586200716905296 0.8761018514633179 0.04572557285428047 0.13588523864746094 0.0004860052722506225
    1.2.826.0.1.3680043.8.498.56082530477101004894107367972938929163 0.0001650429330766201 0.00014227943029254675 0.00018109688244294375 0.0003011496155522764 0.00041654371307231486 4.136423012823798e-05 0.00019579604850150645 0.0028912462294101715 0.023120960220694542 0.9825924038887024 6.148485408630222e-05
    1.2.826.0.1.3680043.8.498.98246795863303451832431705021133568341 0.0002545894531067461 0.00017997408576775342 0.00036537129199132323 0.0005548307090066373 0.0005942874704487622 0.00020054177730344236 0.00018099136650562286 0.023494485765695572 0.14845280349254608 0.8792789578437805 0.0002265570656163618
    1.2.826.0.1.3680043.8.498.57762197635632055080341100402673437698 0.0002044759748969227 0.00018265096878167242 0.0003010188229382038 0.0005926457233726978 0.0003620362258516252 0.000321014056680724 9.999951726058498e-05 0.01575516164302826 0.03677791357040405 0.9489328265190125 0.00011391677253413945
    1.2.826.0.1.3680043.8.498.88596915251565586293989691540368415687 0.0007129957666620612 0.006687961518764496 0.9885716438293457 0.008195305243134499 0.021852746605873108 0.011094160377979279 0.03161832317709923 0.04790056124329567 0.18642909824848175 0.8882865905761719 0.0006296068313531578
    1.2.826.0.1.3680043.8.498.46307462142706286840375636970968848016 0.0006088058580644429 0.0008224956691265106 0.0006801121053285897 0.0007095334585756063 0.0012895477702841163 0.0008456332725472748 0.002306050155311823 0.06405919045209885 0.2574504017829895 0.6601194143295288 0.00040129400440491736
    1.2.826.0.1.3680043.8.498.80316276577822324562759796079995654795 0.02748694457113743 0.3655783236026764 0.3812711536884308 0.021775713190436363 0.04738253727555275 0.3864711821079254 0.3312859535217285 0.043488264083862305 0.17903275787830353 0.6371779441833496 0.0024044886231422424
    1.2.826.0.1.3680043.8.498.12647564686375767004385587301344750744 0.0001588899758644402 0.0001681314897723496 0.00027282824157737195 0.00019831427198369056 0.00031259332899935544 7.945736433612183e-05 0.0002233035338576883 0.008485285565257072 0.12656687200069427 0.9077893495559692 0.00010953862511087209
    1.2.826.0.1.3680043.8.498.90299901133147871114999855119829068551 0.00012460429570637643 0.00017074529023375362 0.0002566461334936321 0.00033263940713368356 0.00012260267976671457 0.0006366096204146743 2.5875100618577562e-05 0.01718197949230671 0.31238511204719543 0.6950653791427612 0.00021984920022077858
    1.2.826.0.1.3680043.8.498.28000021460016094595788452088841488256 0.000185041077202186 0.0001245647290488705 0.0001887149119284004 0.0003384909068699926 0.0004614354984369129 4.365717904875055e-05 0.0003688393335323781 0.0050069065764546394 0.08729863166809082 0.9350051879882812 9.629826672608033e-05
    1.2.826.0.1.3680043.8.498.59670296684765040325346214453356991949 0.0016360522713512182 0.002200625604018569 0.0020694355480372906 0.0036165949422866106 0.014341836795210838 0.010654011741280556 0.1303352415561676 0.022465091198682785 0.18376943469047546 0.9121435284614563 0.001741916174069047
    1.2.826.0.1.3680043.8.498.17661487053306804075881133115233156123 0.0001394134887959808 9.779393440112472e-05 0.0001842485653469339 0.00024693625164218247 0.0002536698302719742 6.712669710395858e-05 0.00020140493870712817 0.0184922032058239 0.05603427812457085 0.9417065382003784 9.635056630941108e-05
    1.2.826.0.1.3680043.8.498.81331161041469445136893540822536130532 0.006230081431567669 0.025553042069077492 0.08405818790197372 0.08705535531044006 0.031029224395751953 0.8216323852539062 0.054782379418611526 0.02367834374308586 0.21642711758613586 0.7893122434616089 0.007248212583363056
    1.2.826.0.1.3680043.8.498.65756339040252483589996712432532859010 0.0012957059079781175 0.0013854715507477522 0.0017788864206522703 0.003100772388279438 0.005777674727141857 0.0006685045664198697 0.006540839560329914 0.0524359755218029 0.1571623533964157 0.7680808305740356 0.000727256468962878
    1.2.826.0.1.3680043.8.498.28135575829168979718713605486673460778 0.00024349642626475543 0.00020295761351007968 0.0001578809169586748 0.00021663671941496432 0.0003390988567844033 4.158373121754266e-05 0.0002988413907587528 0.21738481521606445 0.2648644745349884 0.5588163137435913 0.0002750834100879729
    1.2.826.0.1.3680043.8.498.93237458592198899549776777282428238152 0.00029395875753834844 0.0002893522032536566 0.000325908069498837 0.0005399329820647836 0.0010963306995108724 0.0001188031310448423 0.0017217758577317 0.027964452281594276 0.03147507458925247 0.9659307599067688 0.00015436351532116532
    1.2.826.0.1.3680043.8.498.10188665006937658158583671475143881893 0.00048529505147598684 0.0005722420173697174 0.0005654844571836293 0.0010502384975552559 0.0008867074502632022 0.0010273049119859934 0.0004987409338355064 0.02759738638997078 0.14372476935386658 0.8689898252487183 0.00034159462666139007
    1.2.826.0.1.3680043.8.498.38434127760420280828095115989670698011 0.0071300179697573185 0.054720472544431686 0.9030537605285645 0.051289308816194534 0.14525005221366882 0.11003778874874115 0.49560484290122986 0.05227365344762802 0.17480500042438507 0.6723182797431946 0.008290102705359459
    1.2.826.0.1.3680043.8.498.78921417938601519820114455677165607039 0.0005304721416905522 0.0006095567950978875 0.0007430401747114956 0.0013767259661108255 0.00047240345156751573 0.0025448682717978954 0.0001609522005310282 0.15222735702991486 0.3284025192260742 0.666077733039856 0.0014515892835333943
    1.2.826.0.1.3680043.8.498.12719845058449586228231738755331041280 0.0009458927670493722 0.001825843588449061 0.00307375006377697 0.004960173740983009 0.0040277764201164246 0.013533443212509155 0.002678479300811887 0.022090252488851547 0.07706500589847565 0.953319251537323 0.0011123629519715905
    1.2.826.0.1.3680043.8.498.77808562325455936421400930843168702161 0.000264397996943444 0.00016044975200202316 0.00018056896806228906 0.00033617482404224575 0.0005676475120708346 3.3547454222571105e-05 0.00011365146929165348 0.03314661234617233 0.2775859236717224 0.676361083984375 0.00017020103405229747
    1.2.826.0.1.3680043.8.498.74287317114670172721928280469902726739 0.0001773689000401646 0.000174274857272394 0.00023111538030207157 0.0003004882310051471 0.0004675310046877712 3.0477520340355113e-05 0.000753209344111383 0.004816286265850067 0.050575632601976395 0.9436568021774292 9.717384818941355e-05
    1.2.826.0.1.3680043.8.498.10071793257158359476574420731424470946 0.0007939008064568043 0.0007619016687385738 0.000986740575172007 0.0013899109326303005 0.0019209685269743204 0.00012560778122860938 0.0019518282497301698 0.07587166130542755 0.24812369048595428 0.6456352472305298 0.0006140694604255259
    1.2.826.0.1.3680043.8.498.32607663399714491486577422932619068495 0.01572513021528721 0.20427274703979492 0.6426072120666504 0.039374448359012604 0.03844902291893959 0.670769214630127 0.22824636101722717 0.05909799411892891 0.28608644008636475 0.8391359448432922 0.022344395518302917
    1.2.826.0.1.3680043.8.498.42644880496884682969280112535955924954 0.00029978930251672864 0.00022671469196211547 0.00017656276759225875 0.0005668866215273738 0.0005022354307584465 0.00020829630375374109 0.000215165811823681 0.028609028086066246 0.6817841529846191 0.34868869185447693 0.0002972017682623118
    1.2.826.0.1.3680043.8.498.70303325321514175152820224237982802981 0.0005890631000511348 0.0006459902506321669 0.0006148437969386578 0.0005745408707298338 0.0012704806867986917 0.00012070231605321169 0.000848913099616766 0.08154873549938202 0.09516657888889313 0.8383703231811523 0.0003910972154699266
    1.2.826.0.1.3680043.8.498.11413808516981828405974009780777196295 0.0019464287906885147 0.0031769052147865295 0.0029562064446508884 0.002351196715608239 0.005534851457923651 0.000588251743465662 0.03195495530962944 0.24744705855846405 0.32278698682785034 0.6850844621658325 0.08152325451374054
    1.2.826.0.1.3680043.8.498.39317709283166166928307958175608451958 0.0012479685246944427 0.0016193240880966187 0.0029794734437018633 0.0025454447604715824 0.003220497164875269 0.003786776214838028 0.0018717662896960974 0.07167938351631165 0.12066091597080231 0.742327868938446 0.0008915658108890057
    1.2.826.0.1.3680043.8.498.11128766295963363133373222549288652380 0.0018903048476204276 0.003952317871153355 0.016075197607278824 0.02815530262887478 0.009798690676689148 0.6898782253265381 0.013257630169391632 0.05140310525894165 0.5200091600418091 0.7280559539794922 0.0042794449254870415
    1.2.826.0.1.3680043.8.498.10046849673113330363551753990391825331 0.00032060040393844247 0.00021299121726769954 0.0002678360615391284 0.0005113567458465695 0.0005688351229764521 0.00023319297179114074 0.00032158230897039175 0.06017514318227768 0.2966030240058899 0.6228010058403015 0.00034608907299116254
    1.2.826.0.1.3680043.8.498.24239184506702911292297377781491746349 0.0004483756492845714 0.00039700689376331866 0.0007558421930298209 0.0010269696358591318 0.0015480354195460677 0.00022058552713133395 0.0010358544532209635 0.008758989162743092 0.05751822516322136 0.9632854461669922 0.0002798834175337106
    1.2.826.0.1.3680043.8.498.23379156341695312825654767994379017033 0.00019621700630523264 0.00013660124386660755 0.0001534814655315131 0.00035804713843390346 0.00036042212741449475 5.617808346869424e-05 0.00018220837228000164 0.01415263395756483 0.06615029275417328 0.9312685132026672 0.00011082422133767977
    1.2.826.0.1.3680043.8.498.31618889947190049344256582519546714228 0.0002785609394777566 0.00031293340725824237 0.0007381372852250934 0.001127293100580573 0.0014268335653468966 0.0008674130658619106 0.0008751461282372475 0.006155258975923061 0.02666764333844185 0.986741840839386 0.0001697553088888526
    1.2.826.0.1.3680043.8.498.71516280745075038015165723697503287779 0.00017062330152839422 0.00015589532267767936 0.0003074422129429877 0.0003351651830598712 0.00021274574100971222 0.0006877650157548487 5.9967780543956906e-05 0.08541061729192734 0.1627357006072998 0.7202564477920532 0.00018270037253387272
    1.2.826.0.1.3680043.8.498.14278733628023494396397675525153886914 0.00021603568166028708 0.00017029038281179965 0.00015036894183140248 0.0003558684838935733 0.0004315997357480228 2.6149191398872063e-05 0.00045516714453697205 0.010140844620764256 0.04357417672872543 0.958197295665741 0.00011626873310888186
    1.2.826.0.1.3680043.8.498.97837566162475023477395192484784504398 0.00011167104821652174 4.982071550330147e-05 0.00012717788922600448 0.00019237864762544632 0.00017700901662465185 3.367725730640814e-05 8.073318167589605e-05 0.014112874865531921 0.03824865072965622 0.9404726028442383 6.190782005432993e-05
    1.2.826.0.1.3680043.8.498.19543947431211911690254866531499655426 0.0031583388336002827 0.004315855912864208 0.01043439656496048 0.014687624759972095 0.015557904727756977 0.0315360352396965 0.014143101871013641 0.0811944380402565 0.5143419504165649 0.5554339289665222 0.002083367668092251
    1.2.826.0.1.3680043.8.498.10735186967657345831559266361070703493 0.0003544526407495141 0.0002655687858350575 0.0002558089327067137 0.0006022782763466239 0.0005073323845863342 0.00035439542261883616 0.0001895307213999331 0.02003389596939087 0.39158105850219727 0.7360857725143433 0.00030605687061324716
    1.2.826.0.1.3680043.8.498.98882604011062627743243120628709038657 0.0009725765557959676 0.0022599012590944767 0.002151342574506998 0.0009507593931630254 0.0018261063378304243 0.0001450948038836941 0.03287458419799805 0.026843184605240822 0.4065036177635193 0.7308720946311951 0.0010462792124599218
    1.2.826.0.1.3680043.8.498.21298736597056599740213274537955356358 0.00026809400878846645 0.001566707855090499 0.9984627962112427 0.007953964173793793 0.023253656923770905 0.02521323226392269 0.03328120335936546 0.029864704236388206 0.17134971916675568 0.6932656168937683 0.00043012230889871716
    1.2.826.0.1.3680043.8.498.87296808603759353453769522087607561965 0.00017898064106702805 0.00015709672879893333 0.0003059061127714813 0.00029747484950348735 0.00041485391557216644 3.2456631743116304e-05 0.00192990992218256 0.0100187873467803 0.030820991843938828 0.9541420936584473 9.812779899220914e-05
    1.2.826.0.1.3680043.8.498.58764709840857192691132641242330944788 0.00020439192303456366 0.00045363762183114886 0.0009993088897317648 0.00027934173704124987 0.0006805706070736051 0.00022651217295788229 0.0011313993018120527 0.011966448277235031 0.20276889204978943 0.9017131924629211 0.00013151628081686795
    1.2.826.0.1.3680043.8.498.99893249190615412121224327444473788307 0.0001347495272057131 9.868831693893299e-05 0.00011530845949891955 0.00016899558249861002 0.00023340883490163833 3.4296092053409666e-05 0.00014492192713078111 0.016707580536603928 0.2569678723812103 0.7950435280799866 0.0001332388783339411
    1.2.826.0.1.3680043.8.498.59737879419274172967825568422067505500 0.0002449461608193815 0.00023860503279138356 0.00030020359554328024 0.00037651220918633044 0.0005482713459059596 6.304599810391665e-05 0.00029248202918097377 0.010702096857130527 0.24769063293933868 0.8465834856033325 0.00014336788444779813
    1.2.826.0.1.3680043.8.498.90112800692370796475967642175403079973 0.00022282502322923392 0.0002769194543361664 0.0004186929145362228 0.00042196601862087846 0.0007539506768807769 7.898833428043872e-05 0.00071067048702389 0.009399542585015297 0.06389201432466507 0.957899272441864 0.0001702934387139976
    1.2.826.0.1.3680043.8.498.41413911033198738946473200019037170090 0.00024480035062879324 0.00023066726862452924 0.00046091334661468863 0.0005656882422044873 0.0007203898276202381 0.00015782401897013187 0.00046493756235577166 0.012484840117394924 0.022228484973311424 0.9742331504821777 0.0001218876350321807
    1.2.826.0.1.3680043.8.498.42927505930948148574682859364238200113 0.011433305218815804 0.17029333114624023 0.8357610702514648 0.02719784714281559 0.03701590374112129 0.46681147813796997 0.1639328896999359 0.09441780298948288 0.29328423738479614 0.6686171889305115 0.011922888457775116
    1.2.826.0.1.3680043.8.498.12855739362042803312363423205716748135 0.0006236893241293728 0.001129711396060884 0.0012792712077498436 0.0008642916800454259 0.0008528805337846279 0.0006483385222963989 0.001450052484869957 0.1073007583618164 0.6235719919204712 0.4486100673675537 0.000589124159887433
    1.2.826.0.1.3680043.8.498.83307112410747383851735303222408937396 0.00020672663231380284 0.0001441466883989051 0.000152573935338296 0.0003450835938565433 0.0005122797447256744 4.5113381929695606e-05 0.0004764449258800596 0.07478409260511398 0.5894922018051147 0.4125975966453552 0.0002818125649355352
    1.2.826.0.1.3680043.8.498.33933969087122689927849179636282033326 0.001288920408114791 0.001070481026545167 0.0015993381384760141 0.004519651178270578 0.006454572081565857 0.0021599107421934605 0.004103030078113079 0.025142526254057884 0.12168335914611816 0.8557306528091431 0.0007084527751430869
    1.2.826.0.1.3680043.8.498.10051836519397553373931301626852774772 0.00021268105774652213 0.0006462130695581436 0.0015081812161952257 0.0010575918713584542 0.0001751274394337088 0.01163067389279604 5.4375715990317985e-05 0.3896183967590332 0.5163305997848511 0.22245244681835175 0.003467608243227005
    1.2.826.0.1.3680043.8.498.40327125004312824947803255860420386424 0.0072376541793346405 0.15796998143196106 0.3721621036529541 0.007396953646093607 0.05956210941076279 0.00812573917210102 0.845416247844696 0.024995675310492516 0.11187751591205597 0.9220864176750183 0.002820428926497698
    1.2.826.0.1.3680043.8.498.88521710173873321122551925733872566044 0.0011531997006386518 0.002303904388099909 0.003560407552868128 0.002911518793553114 0.00852447934448719 0.01237034797668457 0.011434545740485191 0.03434029221534729 0.555127739906311 0.5166097283363342 0.0007715836400166154
    1.2.826.0.1.3680043.8.498.12298200057511683210979699066188416293 0.0004990323213860393 0.00033858706592582166 0.00043856771662831306 0.0008519034599885345 0.000977132935076952 0.00016012287233024836 0.0003946267534047365 0.03935735672712326 0.0814036950469017 0.8712038993835449 0.0003982911875937134
    1.2.826.0.1.3680043.8.498.32891189546977043925890519689672025506 0.0002640124293975532 0.00021052034571766853 0.00033534999238327146 0.0006080783205106854 0.0004754018154926598 0.0002293392753927037 0.00015015300596132874 0.03125014156103134 0.04612615332007408 0.9159690737724304 0.0001528021675767377
    1.2.826.0.1.3680043.8.498.19945872213842119695420311790742647530 0.0003379448608029634 0.0005779593484476209 0.000794519204646349 0.0004285488394089043 0.00045568676432594657 0.0004511050065048039 0.0010060917120426893 0.024210596457123756 0.0842527225613594 0.9339003562927246 0.0001895026070997119
    1.2.826.0.1.3680043.8.498.51116595730184107537070906853859832650 0.001111533958464861 0.001497677294537425 0.00143566750921309 0.001791146001778543 0.0031233136542141438 0.0026267576031386852 0.013248597271740437 0.2377849519252777 0.33223867416381836 0.7346783876419067 0.003570545930415392
    1.2.826.0.1.3680043.8.498.77330892312795281958334886047017091604 0.0018315969500690699 0.016554400324821472 0.9823412895202637 0.01585475727915764 0.03956104442477226 0.011693185195326805 0.4801063537597656 0.19179260730743408 0.4014013409614563 0.5036455988883972 0.004029859788715839
    1.2.826.0.1.3680043.8.498.82331756908660269525400523175676017971 0.00031118205515667796 0.0002567680203355849 0.0003699330263771117 0.0006417635595425963 0.0006912211538292468 0.0003225295804440975 0.00022507351241074502 0.010469915345311165 0.20830366015434265 0.7965211868286133 0.00022159540094435215
    1.2.826.0.1.3680043.8.498.12850991079958546833794953526618446556 0.0003780285478569567 0.0003234055475331843 0.0003153802827000618 0.0008193999528884888 0.000764913740567863 0.0001389555836794898 0.00029385805828496814 0.06934644281864166 0.5182659029960632 0.5449836850166321 0.00036232650745660067
    1.2.826.0.1.3680043.8.498.91325849229847995294068693183267417142 0.0003988250100519508 0.0003068973892368376 0.0003133519203402102 0.0008140600984916091 0.0009608144173398614 9.431661601411179e-05 0.0002591546217445284 0.18356627225875854 0.42495185136795044 0.41543689370155334 0.00047284160973504186
    1.2.826.0.1.3680043.8.498.78439889622201874857381910038289011092 0.0001188969035865739 7.777770952088758e-05 9.990525722969323e-05 0.00023276971478480846 0.00020276533905416727 3.805898813880049e-05 7.0430469349958e-05 0.018648270517587662 0.07149359583854675 0.8605996966362 7.952476880745962e-05
    1.2.826.0.1.3680043.8.498.33173995667177467417245255880598029818 0.001821798039600253 0.0036656141746789217 0.004080659244209528 0.00358094391413033 0.0066682398319244385 0.011078180745244026 0.024680566042661667 0.16336865723133087 0.21877694129943848 0.672347366809845 0.0018095739651471376
    1.2.826.0.1.3680043.8.498.12776731557210326500008440622675380947 0.00017174678214360029 0.00035761212348006666 0.0013158271322026849 0.0009206358226947486 0.00037365389289334416 0.0037001431919634342 0.00018935432308353484 0.06177297979593277 0.46018558740615845 0.7757170796394348 0.00046939883031882346
    1.2.826.0.1.3680043.8.498.29606807495862972720340854816703449060 0.0004870914272032678 0.0005743803340010345 0.000793138868175447 0.0010359178995713592 0.001674280152656138 0.0015078842407092452 0.0011694125132635236 0.03407390043139458 0.12691566348075867 0.8588680028915405 0.00035835817106999457
    1.2.826.0.1.3680043.8.498.10205354356085088542966257694756753687 0.0011245025089010596 0.0021027475595474243 0.010293466039001942 0.002024199115112424 0.002990319160744548 0.000673220376484096 0.057821132242679596 0.11372097581624985 0.2684156000614166 0.8070161938667297 0.0013964365934953094
    1.2.826.0.1.3680043.8.498.32754323753968966388779555201522610424 0.00042240149923600256 0.010000551119446754 0.9674404859542847 0.0019430747488513589 0.012990107759833336 0.003758558537811041 0.5536540150642395 0.030445948243141174 0.28249263763427734 0.8366953134536743 0.00038167365710251033
    1.2.826.0.1.3680043.8.498.35182873017036606770510945111057935186 0.00032071321038529277 0.0002304136287420988 0.00025990596623159945 0.0005770459538325667 0.00045538917765952647 0.00023065044661052525 0.00014621092122979462 0.06884171813726425 0.0415322408080101 0.899875283241272 0.00018590953550301492
    1.2.826.0.1.3680043.8.498.74091581083365167002288351779407905491 0.010836226865649223 0.18128417432308197 0.7781193256378174 0.032757364213466644 0.03254975751042366 0.7722935080528259 0.14879284799098969 0.10559115558862686 0.32021015882492065 0.8525245785713196 0.00829717330634594
    1.2.826.0.1.3680043.8.498.85018571075638372664221090727318845193 0.0009945682249963284 0.002745435805991292 0.0027986173518002033 0.0015294885961338878 0.003445685375481844 0.0001740641164360568 0.014681843109428883 0.03953881934285164 0.1926967054605484 0.843977153301239 0.0006992848357185721
    1.2.826.0.1.3680043.8.498.63884298329543515200637990046862069749 0.0002972466463688761 0.00023157060786616057 0.00028780693537555635 0.000560144369956106 0.00040949328104034066 0.0002766505931504071 0.0001112277022912167 0.026973312720656395 0.2388344556093216 0.8633545637130737 0.0003235171898268163
    1.2.826.0.1.3680043.8.498.15032828070331801021261129759108493302 0.0002290221455041319 0.00017648602079134434 0.0002840712550096214 0.000533159589394927 0.0004618912353180349 0.0001244962477358058 0.0004260505666024983 0.026590636000037193 0.12318789958953857 0.8896810412406921 0.00021177282906137407
    1.2.826.0.1.3680043.8.498.12384828762860615470362522879919020237 0.0001427617680747062 0.00013681470591109246 0.00015776482177898288 0.000358465826138854 0.00010694330558180809 0.0005659419693984091 1.736757803882938e-05 0.030308851972222328 0.48067131638526917 0.5496901273727417 0.00019601688836701214
    1.2.826.0.1.3680043.8.498.52512758953535153800340668143026231976 0.0007646021549589932 0.0010637169471010566 0.0020580063574016094 0.0014813824091106653 0.002237033098936081 0.0006541639450006187 0.010354917496442795 0.019340259954333305 0.09256071597337723 0.9632692337036133 0.0006232688901945949
    1.2.826.0.1.3680043.8.498.67703968628897483904135108894771576150 0.00010445665247971192 0.00019043576321564615 0.00034098196192644536 0.0003972752019762993 0.00017243185720872134 0.0011157691478729248 7.44069111533463e-05 0.005666007287800312 0.015013813972473145 0.9874112010002136 9.305258572567254e-05
    1.2.826.0.1.3680043.8.498.23693909204605932773532237652120560633 0.0006660777144134045 0.0003905232879333198 0.0002893586060963571 0.001841096207499504 0.0004800764727406204 0.0026182904839515686 0.0001374326238874346 0.0878048837184906 0.1768430769443512 0.784447968006134 0.0007227039895951748
    1.2.826.0.1.3680043.8.498.50499200148730729799076979718601071175 0.0004817516601178795 0.0004728149506263435 0.0012129268143326044 0.001076303655281663 0.0013449471443891525 0.0003025611804332584 0.0008269079262390733 0.03692826256155968 0.061333246529102325 0.8984670639038086 0.0003415606333874166
    1.2.826.0.1.3680043.8.498.11818719524358716948069878468841128681 0.0007957990164868534 0.0008725483203306794 0.002075005555525422 0.0017979396507143974 0.0016087772091850638 0.0011772329453378916 0.0013506199466064572 0.038612864911556244 0.11008045822381973 0.845667839050293 0.0006811186904087663
    1.2.826.0.1.3680043.8.498.74325885069453136612196652470863990307 0.000530110439285636 0.00038906853296793997 0.000578798062633723 0.0010019091423600912 0.0013238685205578804 0.00016046191740315408 0.0008449341985397041 0.02812829613685608 0.20899748802185059 0.7755038142204285 0.0004017959290649742
    1.2.826.0.1.3680043.8.498.61240316992422476899043064715840009757 0.0009704667027108371 0.00191658700350672 0.0017569822957739234 0.001631593913771212 0.0021349876187741756 0.0004082260129507631 0.005091879516839981 0.11288551986217499 0.3042294383049011 0.5699747800827026 0.0010648724855855107
    1.2.826.0.1.3680043.8.498.53923906345546700686675236976904711552 0.0016595672350376844 0.0041496846824884415 0.0017023247200995684 0.002262752503156662 0.0022507021203637123 0.0003186137182638049 0.007946446537971497 0.6174910068511963 0.3155284523963928 0.20594313740730286 0.0012652978766709566
    1.2.826.0.1.3680043.8.498.88154272965309506889843256158264741079 0.0004986044950783253 0.0006133161950856447 0.0007118979701772332 0.0008381475927308202 0.0010058305924758315 0.00017738838505465537 0.0010462941136211157 0.1781134456396103 0.6509819030761719 0.2726711630821228 0.00042839162051677704
    1.2.826.0.1.3680043.8.498.53457392570451955225961300428405170622 0.00046360204578377306 0.0005680900067090988 0.0006745552527718246 0.0007177378283813596 0.0019036761950701475 9.08553774934262e-05 0.0035354061983525753 0.02615424618124962 0.10377766191959381 0.8852327466011047 0.0003133317513857037
    1.2.826.0.1.3680043.8.498.11632259569269983412780148392558919538 0.0008039491949602962 0.0009454541141167283 0.0005587119376286864 0.0008044587448239326 0.0014577974798157811 0.00016491932910867035 0.0018507810309529305 0.1480422019958496 0.2109312117099762 0.7693108320236206 0.0007807174697518349
    1.2.826.0.1.3680043.8.498.96217317775375324911928044834557731299 0.0002969940542243421 0.0005138634005561471 0.0005390667356550694 0.0005099184927530587 0.0006407705368474126 0.00037145253736525774 0.0016494961455464363 0.01125489454716444 0.20622539520263672 0.8557441830635071 0.00030815883656032383
    1.2.826.0.1.3680043.8.498.55016432544293922778987728578148847675 0.0006181440548971295 0.0014009090373292565 0.001720341620966792 0.0011421607341617346 0.002676225733011961 0.001559028634801507 0.006473264191299677 0.019415026530623436 0.26990291476249695 0.7753902673721313 0.0005233437404967844
    1.2.826.0.1.3680043.8.498.91438455044243275328776011863822458004 0.0002451073960401118 0.007670113351196051 0.9914152026176453 0.012033069506287575 0.004865438677370548 0.7045409083366394 0.004496805369853973 0.0479348786175251 0.5179003477096558 0.9081401824951172 0.000815883744508028
    1.2.826.0.1.3680043.8.498.14252880678698378590894271001588211357 0.0012529623927548528 0.0023809648118913174 0.007971623912453651 0.012212959118187428 0.0028390209190547466 0.08912642300128937 0.0015552372206002474 0.06357749551534653 0.13586384057998657 0.8100255131721497 0.0013945765094831586
    1.2.826.0.1.3680043.8.498.87092132559634569705978342472110222643 7.581752288388088e-05 6.760908581782132e-05 9.22949766390957e-05 0.00018563617777545005 8.73773533385247e-05 0.00010921936336671934 3.5968561860499904e-05 0.009328503161668777 0.021484244614839554 0.9801287651062012 4.423405698616989e-05
    1.2.826.0.1.3680043.8.498.12230792618848671830288122187486350253 0.00011108983017038554 0.00115109421312809 0.9988797307014465 0.0037784031592309475 0.011906547471880913 0.00831146165728569 0.04274618625640869 0.04178429767489433 0.26404446363449097 0.6196651458740234 0.00010402741463622078
    1.2.826.0.1.3680043.8.498.57255323808680053724479484052374619845 0.007859265431761742 0.16197167336940765 0.46575671434402466 0.010406358167529106 0.03896276280283928 0.09498496353626251 0.7853180170059204 0.023305553942918777 0.18826065957546234 0.9269222021102905 0.002353793941438198
    1.2.826.0.1.3680043.8.498.72573047958407945366997737962205364298 0.0012798827374354005 0.0019767519552260637 0.004638660233467817 0.006025473587214947 0.002458011033013463 0.0061042592860758305 0.0005968931945972145 0.10171627998352051 0.09759458154439926 0.7503365874290466 0.0009688299032859504
    1.2.826.0.1.3680043.8.498.67711975979830485177563797826348235000 0.0033864006400108337 0.009708670899271965 0.014059975743293762 0.007330507040023804 0.027750607579946518 0.001805631211027503 0.05068255215883255 0.03436459228396416 0.08940886706113815 0.9050756692886353 0.0013248366303741932
    1.2.826.0.1.3680043.8.498.11066795810389836473678621497991203170 0.0015511632664129138 0.0019315410172566772 0.005159539170563221 0.0032447311095893383 0.005172449164092541 0.0014641338493674994 0.006456815637648106 0.026264894753694534 0.037668369710445404 0.952961266040802 0.0004204293654765934
    1.2.826.0.1.3680043.8.498.48958509037162384112553472958760525586 0.0001595381327206269 0.00010732778901001438 0.00014614895917475224 0.00022234713833313435 0.0002723153738770634 6.452960951719433e-05 0.00010063829540740699 0.014073170721530914 0.11580558121204376 0.8482345342636108 0.00017464060510974377
    1.2.826.0.1.3680043.8.498.75532010561381475034841137712951083648 0.012672213837504387 0.15584588050842285 0.6566454172134399 0.04340290278196335 0.05723559856414795 0.4724486470222473 0.15395940840244293 0.03875543549656868 0.10597958415746689 0.8934303522109985 0.005403817631304264
    1.2.826.0.1.3680043.8.498.23948395756241609757336835710735072334 0.0005793027230538428 0.0005989169585518539 0.0005301426281221211 0.0009055656264536083 0.0014204001054167747 0.00013572137686423957 0.0005954607622697949 0.023799989372491837 0.2319091260433197 0.8353029489517212 0.00043395027751103044
    1.2.826.0.1.3680043.8.498.77535854556213912239839135888994864169 0.001278528361581266 0.0019398595904931426 0.007299925200641155 0.003553516697138548 0.006563386879861355 0.05231846123933792 0.014977967366576195 0.012747068889439106 0.09947839379310608 0.9754844903945923 0.4061146378517151
    1.2.826.0.1.3680043.8.498.99626395761572612968506009455683536670 0.005121744237840176 0.0981820598244667 0.9322091341018677 0.033759232610464096 0.09182022511959076 0.2296018898487091 0.5055426359176636 0.04244318604469299 0.18422898650169373 0.8703367114067078 0.003236103802919388
    1.2.826.0.1.3680043.8.498.51752401177216521694269900576670564973 0.00031572344596497715 0.00028862469480372965 0.00034678290830925107 0.000498675275593996 0.0007551235030405223 6.460209988290444e-05 0.0005738727049902081 0.010336747393012047 0.1092628687620163 0.9073964357376099 0.00018994841957464814
    1.2.826.0.1.3680043.8.498.76027604501481294743567760139866489193 0.0018789528403431177 0.008540989831089973 0.004977111238986254 0.003109765239059925 0.004595433361828327 0.0005994265666231513 0.013516885228455067 0.36335572600364685 0.5604363679885864 0.24363744258880615 0.0010807851795107126
    1.2.826.0.1.3680043.8.498.47833427646065800831504425888731354061 0.0008423210238106549 0.0009237304329872131 0.0009670269791968167 0.002023675013333559 0.001532682217657566 0.0006405875319615006 0.0009944448247551918 0.030714482069015503 0.3948061466217041 0.6338819265365601 0.0006257685017772019
    1.2.826.0.1.3680043.8.498.13303289520818475839591556952738645263 0.001744020963087678 0.0034285145811736584 0.0019639062229543924 0.003051993204280734 0.008417269214987755 0.001811491558328271 0.10713221877813339 0.034700341522693634 0.2785153090953827 0.7748121619224548 0.001073271268978715
    1.2.826.0.1.3680043.8.498.77371878987883616977537678593409835061 0.0018981173634529114 0.0020061531104147434 0.0036679201293736696 0.004033668898046017 0.006206090562045574 0.0008407888817600906 0.004528337623924017 0.11193537712097168 0.33904382586479187 0.6140435934066772 0.0014735545264557004
    1.2.826.0.1.3680043.8.498.27707248050004644809455190068821071899 0.0005191437667235732 0.0021494729444384575 0.009205563925206661 0.0027224866207689047 0.001083220005966723 0.015176822431385517 0.0014192693633958697 0.012199332937598228 0.06764868646860123 0.9759057760238647 0.0007329980144277215
    1.2.826.0.1.3680043.8.498.12112655768318218519575438507681427126 0.0004024674999527633 0.0006242279196158051 0.0015839776024222374 0.0018215849995613098 0.0007136128260754049 0.001966378651559353 0.0004969650763086975 0.009831979870796204 0.013060009106993675 0.9890221357345581 0.00018785064457915723
    1.2.826.0.1.3680043.8.498.82987344174142628926409311589807709594 0.0002989397617056966 0.0003851582296192646 0.0006398489931598306 0.0007663575815968215 0.0009557708981446922 0.00010395490971859545 0.000666560314130038 0.008598478510975838 0.04278822988271713 0.9804033041000366 0.00012086320202797651
    1.2.826.0.1.3680043.8.498.49468595673165664785008598357576455289 0.00037264017737470567 0.0002768063568510115 0.00038662325823679566 0.0007075433386489749 0.0009647677652537823 8.710015390533954e-05 0.0008556364919058979 0.050385020673274994 0.20692989230155945 0.8428838849067688 0.0005999952554702759
    1.2.826.0.1.3680043.8.498.28892363985897420825356190624507496045 0.0003853755188174546 0.001654037507250905 0.003628175240010023 0.0006080064922571182 0.0008045212598517537 0.0002452841436024755 0.008136948570609093 0.11454011499881744 0.26667115092277527 0.5042450428009033 0.0002504685544408858
    1.2.826.0.1.3680043.8.498.93849036783552799678050474639984655679 0.00044881709618493915 0.0005154920509085059 0.0005809742142446339 0.00053613685304299 0.0006625137757509947 7.154538616305217e-05 0.0015345814172178507 0.10999757051467896 0.24584825336933136 0.6655178666114807 0.0004280654829926789
    1.2.826.0.1.3680043.8.498.17458962139524231711259243956966308738 0.00030732524464838207 0.000327390618622303 0.0008982272120192647 0.0006428771303035319 0.0006504817865788937 0.0005741052445955575 0.0003542062477208674 0.014028158970177174 0.03765374794602394 0.9582830667495728 0.0001559010415803641
    1.2.826.0.1.3680043.8.498.13818862091251918701595731532229952546 0.0003195560711901635 0.0003905401681549847 0.0012312716571614146 0.0004779514274559915 0.000757656991481781 4.633195203496143e-05 0.001927930279634893 0.036972902715206146 0.1339482218027115 0.8637332916259766 0.0002096399839501828
    1.2.826.0.1.3680043.8.498.24207260517812044214634118544806743168 0.0022126841358840466 0.01670774258673191 0.028202906250953674 0.0028723133727908134 0.020790299400687218 0.0050489166751503944 0.9431264996528625 0.010971765033900738 0.0919392853975296 0.9678239822387695 0.0013612378388643265
    1.2.826.0.1.3680043.8.498.31440123049792175100245268553596482914 0.0001538406067993492 0.00013509276323020458 0.00018442438158672303 0.000295207864837721 0.00047538327635265887 4.511227598413825e-05 0.00021896653925068676 0.002905231900513172 0.06643466651439667 0.9539670944213867 6.666284025413916e-05
    1.2.826.0.1.3680043.8.498.80636550051444187087755327145435729141 0.00016272254288196564 0.00011016915232175961 0.00023180441348813474 0.00039236951852217317 0.0005086977616883814 6.133405258879066e-05 0.0002773106680251658 0.006260012276470661 0.03308364003896713 0.9745305776596069 0.00010159900557482615
    1.2.826.0.1.3680043.8.498.11549420863966638203637244058975482955 0.003518443088978529 0.09522286802530289 0.8600794672966003 0.0061454931274056435 0.03283478319644928 0.07191816717386246 0.8532808423042297 0.0227140374481678 0.3914540410041809 0.8309882879257202 0.0023450274020433426
    1.2.826.0.1.3680043.8.498.45328973576971281558288631617705490711 0.0003911757958121598 0.0006764748250134289 0.0011523028369992971 0.0010861570481210947 0.0012217412004247308 0.0010154126212000847 0.0009365193545818329 0.009610049426555634 0.04206996411085129 0.9555298686027527 0.00020258521544747055
    1.2.826.0.1.3680043.8.498.33447522864899771184316869186035514543 0.00013568525901064277 0.00014631290105171502 0.00020419724751263857 0.00022642745170742273 0.00034494957071729004 6.190768181113526e-05 0.00023485030396841466 0.0031282571144402027 0.05201166868209839 0.9564787149429321 6.124521314632148e-05
    1.2.826.0.1.3680043.8.498.10087765290619967524978851782474841898 0.0002694348804652691 0.0002831105957739055 0.0002713134163059294 0.00030235512531362474 0.0003026037011295557 0.000240298017160967 0.0004643406136892736 0.04696546122431755 0.26726070046424866 0.7335389852523804 0.00019439590687397867
    1.2.826.0.1.3680043.8.498.35030938138656202569467747439919462603 0.0004508474958129227 0.0003539358149282634 0.0004306230111978948 0.0007055072928778827 0.0011071794433519244 0.00010045935778180137 0.0005409755976870656 0.044730044901371 0.33293062448501587 0.6241850256919861 0.0002998691634275019
    1.2.826.0.1.3680043.8.498.32736424303064951751820037059475261636 0.00212652375921607 0.0019142323872074485 0.002375253476202488 0.04057437181472778 0.05321010947227478 0.2550269067287445 0.11722652614116669 0.009379873052239418 0.04795198515057564 0.9554821252822876 0.0009518613223917782
    1.2.826.0.1.3680043.8.498.14234412584628689823044837656150117574 0.0007248799665831029 0.0006115703145042062 0.0008381454390473664 0.0012805446749553084 0.0031117345206439495 0.0001435199228581041 0.001147564616985619 0.061683766543865204 0.09994474053382874 0.8815364837646484 0.0004795263521373272
    1.2.826.0.1.3680043.8.498.55054686758985088945884004927025381101 0.000328361609717831 0.0003894917608704418 0.00038175881491042674 0.0006525691132992506 0.0010077840415760875 0.0001387075608363375 0.0009917889256030321 0.011148542165756226 0.4551791250705719 0.6982769966125488 0.0002475892542861402
    1.2.826.0.1.3680043.8.498.11144935950518877699648480460789285179 0.00020548778411466628 0.00014338406617753208 0.00035134790232405066 0.000743611017242074 0.0007187592564150691 0.00014353600272443146 0.0002276857412653044 0.003575513605028391 0.028657788410782814 0.9818445444107056 0.00013394758570939302
    1.2.826.0.1.3680043.8.498.62329929094326368997867434625398982212 0.00010628679592628032 0.0001182609485113062 0.00032297646976076066 0.0004966381820850074 0.00017756392480805516 0.0004007349198218435 3.917945286957547e-05 0.006980064325034618 0.006431361194700003 0.9934294819831848 6.1012997321086004e-05
    1.2.826.0.1.3680043.8.498.43889759543014905240956203612067563537 0.0002264378999825567 0.0001854685106081888 0.0001960323133971542 0.0004512109444476664 0.00023288000375032425 0.00031608660356141627 5.9177698858547956e-05 0.05303670093417168 0.30552440881729126 0.5663424730300903 0.0001797829900169745
    1.2.826.0.1.3680043.8.498.81610139461170150868957888504400420415 0.000422407261794433 0.00035730190575122833 0.00037136703031137586 0.0008211623062379658 0.0007916007889434695 0.00030673309811390936 0.00019956807955168188 0.0395050123333931 0.22296372056007385 0.7474862933158875 0.00035278877476230264
    1.2.826.0.1.3680043.8.498.10204414077210166277381584507534160576 0.00035622422001324594 0.0002538609260227531 0.00035276220296509564 0.0010596774518489838 0.001513706287369132 0.00046995305456221104 0.0014694894198328257 0.0078501645475626 0.029781799763441086 0.9710646867752075 0.00015176826855167747
    1.2.826.0.1.3680043.8.498.92542235022648939180560718039397907037 0.0007043305668048561 0.0015130089595913887 0.0017490260070189834 0.0014562488067895174 0.001723544322885573 0.00022673016064800322 0.0031974788289517164 0.05683238059282303 0.3214923143386841 0.8761751055717468 0.0009414496016688645
    1.2.826.0.1.3680043.8.498.57103905320559189316118637438632009142 0.02946443483233452 0.4786268174648285 0.43751510977745056 0.039064545184373856 0.028968999162316322 0.5129140019416809 0.0666358470916748 0.03649744391441345 0.29245835542678833 0.8545398712158203 0.00248267431743443
    1.2.826.0.1.3680043.8.498.11650384955263766408293417564246277957 0.001052099745720625 0.0013134224573150277 0.0015299657825380564 0.002957690041512251 0.003200523555278778 0.002492272760719061 0.0024856948293745518 0.033984504640102386 0.21785108745098114 0.866979718208313 0.0008302229689434171
    1.2.826.0.1.3680043.8.498.11771763438241458862350775895450972424 0.0004179354873485863 0.00035098555963486433 0.0003526494256220758 0.0005407088319770992 0.0005355106550268829 9.752873302204534e-05 0.0006290495512075722 0.10640601068735123 0.4142371118068695 0.4701525568962097 0.0003747018345165998
    1.2.826.0.1.3680043.8.498.77581243278011525867687425834406078487 0.0003770331386476755 0.0003413091762922704 0.0006164871156215668 0.00233700149692595 0.0005962006980553269 0.002262698719277978 0.00014739898324478418 0.03969084098935127 0.045475028455257416 0.9357203245162964 0.00043287762673571706
    1.2.826.0.1.3680043.8.498.83242905204723772226052445161429446698 0.0003695034538395703 0.0011199499713256955 0.000996187562122941 0.00034081723424606025 0.0006922314059920609 0.0001771951501723379 0.03792181983590126 0.2191682606935501 0.5136457681655884 0.8152927160263062 0.0010790347587317228
    1.2.826.0.1.3680043.8.498.14730970536457370491567000944788097103 0.0001799270830815658 0.00011362506484147161 0.000133745459606871 0.000453434040537104 0.00034536694874987006 0.00011104031000286341 0.0001311703526880592 0.031393375247716904 0.07973072677850723 0.9325268864631653 0.00016383429465349764
    1.2.826.0.1.3680043.8.498.49517048927286307048056319700599344281 0.00026038207579404116 0.00035748921800404787 0.0004638971877284348 0.0006543092895299196 0.0003488767833914608 0.0007250168127939105 0.00015976429858710617 0.017182189971208572 0.033542342483997345 0.9648577570915222 0.00019433963461779058
    1.2.826.0.1.3680043.8.498.13119704016490812324975591437420943858 0.0006026339833624661 0.0005221209721639752 0.0005598824936896563 0.0010142119135707617 0.0016828816151246428 7.479359192075208e-05 0.0025851803366094828 0.07041389495134354 0.1512790471315384 0.8261114954948425 0.0005486492300406098
    1.2.826.0.1.3680043.8.498.13368263685777049427303357041663349176 0.00014506831939797848 0.00023043966211844236 0.00044052969315089285 0.00041660043643787503 0.00014655051927547902 0.0007779256557114422 8.247247023973614e-05 0.10559152066707611 0.3427950441837311 0.8029354214668274 0.0002596996200736612
    1.2.826.0.1.3680043.8.498.27218714672534357060940476999317572046 0.00048700423212721944 0.0011121417628601193 0.0010885432129725814 0.0005379932699725032 0.0006649963324889541 6.949507223907858e-05 0.015244406647980213 0.018947679549455643 0.18154744803905487 0.8317233324050903 0.00033174798591062427
    1.2.826.0.1.3680043.8.498.11416417494818274691726142766904664318 0.010317529551684856 0.2098199427127838 0.6745747327804565 0.010669085197150707 0.04718620330095291 0.010278106667101383 0.7379046678543091 0.0711551159620285 0.23376226425170898 0.47876015305519104 0.0011816512560471892
    1.2.826.0.1.3680043.8.498.11548240175485654250250426261032743832 0.0030754583422094584 0.08397933095693588 0.9032413363456726 0.005726829636842012 0.028576161712408066 0.06995166838169098 0.7335067391395569 0.02421586588025093 0.22107908129692078 0.9205098152160645 0.001556175877340138
    1.2.826.0.1.3680043.8.498.53676059570446741138402072508592714998 0.00021209001715760678 0.00018447318871039897 0.00013254891382530332 0.000223211754928343 0.0003450207586865872 3.1518917239736766e-05 0.00035520538222044706 0.06772637367248535 0.0701010525226593 0.899218738079071 0.00014992181968409568
    1.2.826.0.1.3680043.8.498.41376595274047201575349709531941457390 0.052936483174562454 0.5097236037254333 0.3443771302700043 0.05081135779619217 0.025394409894943237 0.5768502950668335 0.15938326716423035 0.11490553617477417 0.3277297616004944 0.6183818578720093 0.17473933100700378
    1.2.826.0.1.3680043.8.498.98668396292623931802523845919526139389 0.0010180502431467175 0.001109367236495018 0.0010953918099403381 0.0014208417851477861 0.002292492426931858 0.00021920973085798323 0.0022774809040129185 0.34265944361686707 0.3956846594810486 0.3585767447948456 0.0012560749892145395
    1.2.826.0.1.3680043.8.498.13027481842158346881297259460599231482 0.00014410543371923268 9.09573063836433e-05 8.022946713026613e-05 0.00035575099173001945 0.00013213981583248824 0.00010707596084102988 3.600161653594114e-05 0.02252931520342827 0.04845808446407318 0.9352121353149414 0.00012423099542502314
    1.2.826.0.1.3680043.8.498.97201525318310745487510041373277814558 0.00025983763043768704 0.00022876192815601826 0.00019488878024276346 0.0003647069097496569 0.0003184791130479425 5.9773454267997295e-05 0.00028772541554644704 0.025047549977898598 0.1366748809814453 0.870241641998291 0.00019099601195193827
    1.2.826.0.1.3680043.8.498.10887702549658123633718050070521362283 0.0003595382731873542 0.0005047546001151204 0.0006201463984325528 0.0012519664596766233 0.0009706977871246636 0.0005922358832322061 0.0011087466264143586 0.018641721457242966 0.1435924619436264 0.9675071835517883 0.00045671529369428754
    1.2.826.0.1.3680043.8.498.13266796731882721442716468096253546921 0.00037253746995702386 0.0005979792331345379 0.00034715060610324144 0.0005371898296289146 0.0005042009870521724 0.00019833150145132095 0.0009617224568501115 0.243864506483078 0.5476058721542358 0.4661394953727722 0.0006106898072175682
    1.2.826.0.1.3680043.8.498.13358698825733811727543586603748772460 0.0004873447469435632 0.000513736333232373 0.0005041199619881809 0.0009370491607114673 0.0006314261117950082 0.0004667167959269136 0.0005691084661521018 0.06663261353969574 0.21411140263080597 0.8812370300292969 0.0004832920094486326
    1.2.826.0.1.3680043.8.498.11464862223502208228641939287060162122 0.00018573629495222121 0.00014627512427978218 0.00022591956076212227 0.0006809928454458714 0.00017031552852131426 0.0010702174622565508 3.900477895513177e-05 0.03331654518842697 0.10675857961177826 0.8408652544021606 0.00034955688170157373
    1.2.826.0.1.3680043.8.498.50936018818443912646418818811205050468 0.000509090896230191 0.000387342122849077 0.000646695785690099 0.0008468860760331154 0.0010877926833927631 0.0003904347540810704 0.0006992757553234696 0.053694237023591995 0.3873853087425232 0.472841739654541 0.0005279707838781178
    1.2.826.0.1.3680043.8.498.73011507339317577386118698580352740108 0.00032479589572176337 0.0006324938731268048 0.0007005615043453872 0.00046517513692379 0.0008174010436050594 9.329830209026113e-05 0.0019435940776020288 0.0645935907959938 0.17129340767860413 0.8250009417533875 0.0002057630626950413
    1.2.826.0.1.3680043.8.498.85307905745019199435703005471518711010 0.000106595762190409 0.00010453583672642708 0.0001362863404210657 0.00020976588712073863 0.00011196336708962917 0.00032402045326307416 2.8937365641468205e-05 0.022808203473687172 0.0606503002345562 0.9294050335884094 0.00011393765453249216
    1.2.826.0.1.3680043.8.498.50992783985785340887428763084349796520 0.0013583425898104906 0.00502956984564662 0.0038333763368427753 0.001265817554667592 0.0039218151941895485 0.0003723695408552885 0.2253642976284027 0.09803427755832672 0.62474125623703 0.47673121094703674 0.0019924049265682697
    1.2.826.0.1.3680043.8.498.31862781763693144512041005821087404835 0.0010487554827705026 0.0007559644291177392 0.0006810852792114019 0.002006950555369258 0.0026583881117403507 0.0005934762884862721 0.0014406919945031404 0.14622023701667786 0.16385021805763245 0.7564347386360168 0.0016393562545999885
    1.2.826.0.1.3680043.8.498.32939585471216806266127292803850525705 0.00045406119897961617 0.00044499742216430604 0.0003961560723837465 0.00057273730635643 0.000943216378800571 6.155672599561512e-05 0.0009321972029283643 0.20172202587127686 0.3513474464416504 0.5243608951568604 0.0004642247222363949
    1.2.826.0.1.3680043.8.498.12413191473242486642775669969165655303 0.006689137779176235 0.018548492342233658 0.01248727273195982 0.015986574813723564 0.07568151503801346 0.023599080741405487 0.9230621457099915 0.026261527091264725 0.13866014778614044 0.7261434197425842 0.0015675300965085626
    1.2.826.0.1.3680043.8.498.60376146325553071289803716508320654902 7.16232243576087e-05 5.420631350716576e-05 5.808127025375143e-05 0.00013606177526526153 0.00011045348219340667 4.8777284973766655e-05 4.9624621169641614e-05 0.0027310613077133894 0.020432915538549423 0.9851628541946411 3.112568811047822e-05
    1.2.826.0.1.3680043.8.498.69171237160720319818079944584612432792 0.00012965479982085526 0.00011323716898914427 0.00021074767573736608 0.00026591261848807335 0.0003500577586237341 4.059907951159403e-05 0.00021467520855367184 0.004348305985331535 0.013652287423610687 0.9891350865364075 4.266083487891592e-05
    1.2.826.0.1.3680043.8.498.43432318500190582798698195304696672308 0.0009491029195487499 0.0019877685699611902 0.001655877917073667 0.0023418068885803223 0.003157423809170723 0.00027228466933593154 0.012540711089968681 0.9200341105461121 0.09880811721086502 0.09562098979949951 0.0013569729635491967
    1.2.826.0.1.3680043.8.498.62108367727662747418405531615492413797 0.00023481420066673309 0.00016110838623717427 0.000184910575626418 0.00037380069261416793 0.0004960771766491234 7.250814815051854e-05 0.00022028684907127172 0.009279140271246433 0.040882498025894165 0.9513605237007141 0.00011763180373236537
    1.2.826.0.1.3680043.8.498.55839142867482707128241791671336737636 0.00027328156284056604 0.00017289616516791284 0.00019962750957347453 0.0007063135271891952 0.0007880384218879044 4.9914953706320375e-05 0.0004148452135268599 0.010978884994983673 0.051333241164684296 0.9578168988227844 0.00017253663099836558
    1.2.826.0.1.3680043.8.498.40954183297179361747232273693316616615 0.0006596133462153375 0.0007982779061421752 0.001506879343651235 0.001902844524011016 0.0010171106550842524 0.0035000317730009556 0.0004381117469165474 0.05339743569493294 0.4244822561740875 0.5480630993843079 0.0008614856051281095
    1.2.826.0.1.3680043.8.498.70286256369264163304242127938204329062 0.00033146952046081424 0.00020836794283241034 0.0002898306120187044 0.0004995227791368961 0.0007438022876158357 9.474756370764226e-05 0.0003085111966356635 0.020548315718770027 0.14564040303230286 0.8112694621086121 0.0002030619652941823
    1.2.826.0.1.3680043.8.498.57581933280852570586625354292532212924 0.0022679371759295464 0.03590591996908188 0.025212928652763367 0.0013561571249738336 0.011635097675025463 0.0011359635973349214 0.9955297708511353 0.026571333408355713 0.16654202342033386 0.7693479657173157 0.0014094908256083727
    1.2.826.0.1.3680043.8.498.55157563195434697130420610164837339660 0.013686132617294788 0.013182546012103558 0.006021075416356325 0.07283122837543488 0.13376595079898834 0.022035181522369385 0.606135368347168 0.17184479534626007 0.24923622608184814 0.2369891107082367 0.0024779303930699825
    1.2.826.0.1.3680043.8.498.44758241556583745699210248673300024664 0.00020263918850105256 0.0002618968137539923 0.0005459134699776769 0.00037222952232696116 0.0005260234465822577 0.00013574186596088111 0.00032435220782645047 0.031461283564567566 0.6593867540359497 0.4677402079105377 0.0001841386838350445
    1.2.826.0.1.3680043.8.498.28915674562969527787190053036981112665 0.00056306435726583 0.0006227184203453362 0.001122225308790803 0.003271155059337616 0.0017376430332660675 0.008778748102486134 0.000611392199061811 0.030659392476081848 0.03955582529306412 0.9382488131523132 0.0005751358112320304
    1.2.826.0.1.3680043.8.498.99545570284550752066367339669279282449 0.0002607679052744061 0.00022307010658551008 0.0003558922908268869 0.0005332605796866119 0.00042598918662406504 0.0003536519652698189 0.0001397168671246618 0.039136748760938644 0.08236736804246902 0.8768711090087891 0.00018931482918560505
    1.2.826.0.1.3680043.8.498.52376542982415662443962440840314477607 0.007479473017156124 0.07795185595750809 0.8609940409660339 0.0560450442135334 0.08124767988920212 0.4623572826385498 0.2232484370470047 0.0655750036239624 0.2541142404079437 0.5127283334732056 0.0043164147064089775
    1.2.826.0.1.3680043.8.498.26902196234569193387696677631753375289 0.0017079615499824286 0.0019221575930714607 0.0026638340204954147 0.00968596525490284 0.02364436350762844 0.0048970310017466545 0.07118461281061172 0.07371143996715546 0.07230361551046371 0.7933240532875061 0.0007825704524293542
    1.2.826.0.1.3680043.8.498.94204495171012459296806708326818767201 0.0013873607385903597 0.0012818496907129884 0.0011095302179455757 0.002503809053450823 0.0031207187566906214 0.0007335805566981435 0.002062056213617325 0.5794890522956848 0.4269846975803375 0.12733903527259827 0.002015237230807543
    1.2.826.0.1.3680043.8.498.65495554175653845740224739750939533165 0.0003734990896191448 0.0005633606342598796 0.00038702235906384885 0.0004311263910494745 0.0006879711290821433 9.818023681873456e-05 0.0005791665171273053 0.043561555445194244 0.4448789656162262 0.48944807052612305 0.0003575982409529388
    1.2.826.0.1.3680043.8.498.15657122242608062823827538780961437289 0.00044046505354344845 0.00035533116897568107 0.0005903272540308535 0.002271239412948489 0.0010197306983172894 0.0025301945861428976 0.00028028659289702773 0.06490864604711533 0.051033902913331985 0.9240232706069946 0.0008898855885490775
    1.2.826.0.1.3680043.8.498.68277981274601040320721969620571747928 0.0005571341025643051 0.0009442927548661828 0.002044698689132929 0.0024831430055201054 0.0021022516302764416 0.0033280705101788044 0.0009880540892481804 0.007414781488478184 0.022586997598409653 0.9881325960159302 0.00036018106038682163
    1.2.826.0.1.3680043.8.498.48534788883942072909483745696089355392 0.00044686548062600195 0.0005334679735824466 0.0007937322370707989 0.0006426762556657195 0.0009099375456571579 0.00010422356717754155 0.0018096843268722296 0.054062020033597946 0.14703282713890076 0.7866703271865845 0.0002635999408084899
    1.2.826.0.1.3680043.8.498.33752938143113932835580058368904667110 0.003778278362005949 0.0157841257750988 0.021623391658067703 0.008846188895404339 0.07091815024614334 0.01851142942905426 0.9061918258666992 0.028200775384902954 0.13659705221652985 0.9458937644958496 0.0015636306488886476
    1.2.826.0.1.3680043.8.498.57472294804860244463199520682194139082 0.00030527866329066455 0.000278607418294996 0.0003167111717630178 0.0005213200929574668 0.0005688135861419141 0.0003120344481430948 0.0002213808475062251 0.0232946015894413 0.23327307403087616 0.8252453804016113 0.00023652678646612912
    1.2.826.0.1.3680043.8.498.15720677153651547369347145512609167276 0.00038053831667639315 0.00028133581508882344 0.0002690222463570535 0.0007753958343528211 0.0009671795414760709 0.0003380091511644423 0.00026548822643235326 0.11760275065898895 0.09012840688228607 0.8147098422050476 0.0017109343316406012
    1.2.826.0.1.3680043.8.498.42647893050461452696081545132256113833 0.0007064638775773346 0.001153902499936521 0.0013720650458708405 0.0015844398876652122 0.0027006245218217373 0.00020340776245575398 0.02675020694732666 0.05427800863981247 0.09557193517684937 0.8444463610649109 0.0004972797469235957
    1.2.826.0.1.3680043.8.498.13602373347344225985954909267832291007 0.00045031323679722846 0.00035803261562250555 0.0004488556587602943 0.0010933047160506248 0.0014059430686756968 0.0004034082521684468 0.0022226760629564524 0.20391669869422913 0.12139113247394562 0.7234762907028198 0.00046872830716893077
    1.2.826.0.1.3680043.8.498.89961599659958385675512279985286036474 0.025285016745328903 0.15130124986171722 0.060724228620529175 0.040850747376680374 0.08472523093223572 0.18251927196979523 0.7580231428146362 0.10435569286346436 0.35126063227653503 0.6731331944465637 0.008739111945033073
    1.2.826.0.1.3680043.8.498.99793759701152871653601749247393185909 0.00045983344898559153 0.0007258829427883029 0.00116185680963099 0.0006629764684475958 0.0009423056617379189 0.0003173286677338183 0.0021135290153324604 0.14399941265583038 0.6834307312965393 0.21286539733409882 0.0003693386970553547
    1.2.826.0.1.3680043.8.498.10120739921383697892124135066991409110 0.0005416407366283238 0.0005287743406370282 0.0006336398073472083 0.0010040568886324763 0.001725533278658986 0.0003212634474039078 0.0008142000297084451 0.0446903333067894 0.3071940839290619 0.6751135587692261 0.00045607099309563637
    1.2.826.0.1.3680043.8.498.18958405654345952939442585292080274714 0.005872915964573622 0.1265011727809906 0.7496539950370789 0.0011015745112672448 0.00505566131323576 0.015351355075836182 0.9861807823181152 0.014498968608677387 0.14543046057224274 0.9763532876968384 0.9860852956771851
    1.2.826.0.1.3680043.8.498.51207537731825699069241337852816294543 0.00012668894487433136 0.00019602924294304103 0.00035791005939245224 0.0003999187028966844 0.0001385154901072383 0.0010993153555318713 2.08777237276081e-05 0.00957619957625866 0.1312374621629715 0.9068620800971985 8.939046529121697e-05
    1.2.826.0.1.3680043.8.498.76140735603594273432487948417142734436 0.00029451242880895734 0.0002778031339403242 0.00028677278896793723 0.0006999013712629676 0.00033419401734136045 0.0005225805216468871 0.00013401228352449834 0.09204328060150146 0.5246221423149109 0.6181926131248474 0.00026863376842811704
    1.2.826.0.1.3680043.8.498.99445079215745456437149916084558818492 0.0002177807764383033 0.00018984191410709172 0.00022749921481590718 0.00039204247877933085 0.0005281245103105903 6.84929545968771e-05 0.00040596426697447896 0.009890563786029816 0.09920486062765121 0.8989823460578918 0.0001416831073584035
    1.2.826.0.1.3680043.8.498.50374006579572782902310680332783940155 0.0001270135398954153 9.945836791303009e-05 0.00010476280294824392 0.00028483933419920504 0.00014895910862833261 0.00020669082005042583 3.926721547031775e-05 0.03534854203462601 0.45630374550819397 0.6624879240989685 0.0001809515815693885
    1.2.826.0.1.3680043.8.498.73365588900790306630655505237709153529 0.0002774784225039184 0.0002576896804384887 0.00031683023553341627 0.0004791128449141979 0.0004619710671249777 0.0002111125213559717 0.0002483897260390222 0.010365157388150692 0.2357158213853836 0.7174168229103088 0.0002656896540429443
    1.2.826.0.1.3680043.8.498.52749597228900994615014743754662574199 0.0002618637809064239 0.00018716669001150876 0.00021022208966314793 0.0006104345666244626 0.00027780982782132924 0.00027882217545993626 7.739350257907063e-05 0.02916042134165764 0.053966112434864044 0.9361041784286499 0.00018251794972456992
    1.2.826.0.1.3680043.8.498.89164520258439757828966880785150941512 0.0003218838828615844 0.0001948791032191366 0.000156854628585279 0.0005693369312211871 0.00029510422609746456 0.00029300147434696555 6.92846006131731e-05 0.17026841640472412 0.17601212859153748 0.6164302229881287 0.00026919422089122236
    1.2.826.0.1.3680043.8.498.36874062793851607679270682112564115341 0.00021151953842490911 0.00019175102352164686 0.00017897103680297732 0.0003642527444753796 0.0001973085745703429 0.0001884949451778084 0.00012121374311391264 0.04426032304763794 0.3811284601688385 0.6895831823348999 0.00017979256517719477
    1.2.826.0.1.3680043.8.498.82007105697843092575451225039748244506 0.0003271845926064998 0.0002982712467201054 0.0002343338419450447 0.0006179446936585009 0.0006323641864582896 3.5424956877250224e-05 0.0005068791215308011 0.027620743960142136 0.14497433602809906 0.8626692891120911 0.00020382017828524113
    1.2.826.0.1.3680043.8.498.30991533093235243679560075768132372840 0.009806595742702484 0.04482496529817581 0.031141210347414017 0.018950600177049637 0.07095827162265778 0.07883982360363007 0.6759284734725952 0.036086536943912506 0.20927336812019348 0.9178927540779114 0.0058367205783724785
    1.2.826.0.1.3680043.8.498.54784190154004237224018355997237266003 0.00021482659212779254 0.00023816234897822142 0.0002540023415349424 0.0003667722921818495 0.0003453887184150517 0.0002710354165174067 0.00014514820941258222 0.1189362183213234 0.1593727022409439 0.6784956455230713 0.00022630873718298972
    1.2.826.0.1.3680043.8.498.78997096934917191287082465861384942880 0.00028984295204281807 0.00029853789601475 0.0003343554271850735 0.0003489482041914016 0.0005921757547184825 4.908891423838213e-05 0.0023356175515800714 0.012048229575157166 0.1556028425693512 0.8326958417892456 0.00027644005604088306
    1.2.826.0.1.3680043.8.498.11655849485677938673748043330410917931 0.04265827685594559 0.15015801787376404 0.01600821688771248 0.018933089450001717 0.04763871058821678 0.010887319222092628 0.8594835996627808 0.12153685092926025 0.3740198314189911 0.5689660906791687 0.005633012391626835
    1.2.826.0.1.3680043.8.498.91817697381966819407321298543665055448 0.00020508065063040704 0.00020291600958444178 0.0002584047324489802 0.00042407619184814394 0.0008761041681282222 4.334380355430767e-05 0.0016975266626104712 0.00505566643550992 0.04705040156841278 0.963822066783905 0.00015819746477063745
    1.2.826.0.1.3680043.8.498.65373987335151235339318568497278827353 0.00013693587970919907 0.00018455483950674534 0.00034150329884141684 0.00033294118475168943 0.00031794741516932845 0.0003780907136388123 0.000327715533785522 0.005876552779227495 0.02527817152440548 0.9789554476737976 6.993177521508187e-05
    1.2.826.0.1.3680043.8.498.11731980262719296068882622181267253531 0.00016249081818386912 0.00017922405095305294 0.000205292904865928 0.0003736915241461247 0.00010679968545446172 0.0007958390633575618 3.255575938965194e-05 0.037220049649477005 0.43510913848876953 0.625083327293396 0.00018320989329367876
    1.2.826.0.1.3680043.8.498.95052846237373848803176379881193660160 0.0003539066528901458 0.00039313509478233755 0.000537805026397109 0.0004430832341313362 0.0007367305806837976 0.00018575431022327393 0.0005976927932351828 0.029770810157060623 0.0741128921508789 0.9283062219619751 0.00018103128240909427
    1.2.826.0.1.3680043.8.498.21730784040646539035848973575728712608 0.0002528548357076943 0.00027166871586814523 0.0005800296785309911 0.0006140404148027301 0.0006944960914552212 0.0003591761051211506 0.0003917509748134762 0.02012820541858673 0.15910249948501587 0.8297250866889954 0.00019010007963515818
    1.2.826.0.1.3680043.8.498.67814873221742934292279922431020334490 0.00038935214979574084 0.0003221267252229154 0.0006358550162985921 0.0012720846571028233 0.002519445028156042 0.0010630689794197679 0.0014579277485609055 0.02057240903377533 0.01465599238872528 0.9756636619567871 0.00019167691061738878
    1.2.826.0.1.3680043.8.498.70944636640076032046733185071751814059 0.00019065356173086911 0.00015154629363678396 0.00021198736794758588 0.0004360968596301973 0.00035886032856069505 0.0002632673713378608 0.00013075135939288884 0.028268858790397644 0.4185773730278015 0.572729229927063 0.00014515547081828117
    1.2.826.0.1.3680043.8.498.64584144557080021650777623038154512409 0.0009859245037660003 0.0016313784290105104 0.004047370050102472 0.0058359792456030846 0.0011729730758816004 0.01018707174807787 0.00044193415669724345 0.0723482221364975 0.14104364812374115 0.7892522215843201 0.0016976299230009317
    1.2.826.0.1.3680043.8.498.11836654197716793073543279566045294817 0.00048418715596199036 0.00041951442835852504 0.00042437849333509803 0.000650113623123616 0.0008047412266023457 0.00020343333017081022 0.0003612732980400324 0.08854632079601288 0.19936373829841614 0.6725294589996338 0.00033138570142909884
    1.2.826.0.1.3680043.8.498.79682085899962620802221966282257439011 0.000169005012139678 0.0001688430056674406 0.00021344461129046977 0.0002773214946500957 0.00017422383825760335 0.00035580963594838977 6.134422437753528e-05 0.014178628101944923 0.07887119054794312 0.9222485423088074 0.00012118633458158001
    1.2.826.0.1.3680043.8.498.46837586672090763824502760183664101097 0.00034904686617664993 0.0008927766466513276 0.001007781713269651 0.0003922083415091038 0.0007931736181490123 0.00018666734104044735 0.00841386429965496 0.02726692333817482 0.40980058908462524 0.6595648527145386 0.00042740924982354045
    1.2.826.0.1.3680043.8.498.45609049134290618951290847645362071550 0.0003376411332283169 0.00016987875278573483 0.00020971335470676422 0.0005836575292050838 0.0006577090243808925 0.00017097548698075116 0.00018629182886797935 0.01866285502910614 0.13237683475017548 0.8832724690437317 0.00034495830186642706
    1.2.826.0.1.3680043.8.498.64139901156608235763899629767904204720 0.00035323770134709775 0.000368670211173594 0.0003366049495525658 0.0006544663337990642 0.0007516146870329976 0.00015006728062871844 0.0003346892772242427 0.04827486723661423 0.3207706809043884 0.8431053161621094 0.0002698212629184127
    1.2.826.0.1.3680043.8.498.92093167375334354140266821006887775354 0.00039272382855415344 0.00036492006620392203 0.0005316504975780845 0.0016486257081851363 0.001028074766509235 0.0015762081602588296 0.000787364027928561 0.014971357770264149 0.029427388682961464 0.9836750030517578 0.00033237450406886637
    1.2.826.0.1.3680043.8.498.85983926747018801293942068932803237036 0.009475833736360073 0.04331266134977341 0.05370999500155449 0.012969824485480785 0.06767074763774872 0.008712640032172203 0.6718201041221619 0.2588903307914734 0.2299816906452179 0.7274110913276672 0.0059620775282382965
    1.2.826.0.1.3680043.8.498.13254199529764043436833312203250015447 0.014179443940520287 0.16729190945625305 0.7696788907051086 0.014956367202103138 0.04389704018831253 0.12388584762811661 0.6583256125450134 0.16333235800266266 0.4290238916873932 0.831828773021698 0.2836753726005554
    1.2.826.0.1.3680043.8.498.10271177675172117577815376571438572349 0.00017506083531770855 0.0001904374803416431 0.00039396039210259914 0.0004965760163031518 0.00037132357829250395 0.0002758077171165496 0.00016105303075164557 0.017170079052448273 0.017860084772109985 0.9685169458389282 8.24385933810845e-05
    1.2.826.0.1.3680043.8.498.13135149774546832109139277916761719218 0.0007423599017783999 0.0007538274512626231 0.0010494961170479655 0.0013664888683706522 0.0013583836844190955 0.0006661501247435808 0.0010318495333194733 0.05369112640619278 0.4320584237575531 0.5997804403305054 0.0007343199686147273
    1.2.826.0.1.3680043.8.498.18159880678874202539456278595720932345 0.00011864027328556404 0.0001066648619598709 0.00010550701699685305 0.00014697563892696053 0.0001760494924383238 5.357811460271478e-05 9.653117012931034e-05 0.038633525371551514 0.4255658984184265 0.4740867614746094 0.0001185615110443905
    1.2.826.0.1.3680043.8.498.60511461272036884377646273846141300385 0.00016721105203032494 0.00016690019401721656 0.00018917894340120256 0.00022720785636920482 0.0002812730090226978 2.8176920750411227e-05 0.0006270345766097307 0.034450266510248184 0.10889208316802979 0.8728836178779602 0.00011850520968437195
    1.2.826.0.1.3680043.8.498.45336944683525630971502089473052250844 0.0011383697856217623 0.0015266466652974486 0.001098202308639884 0.0017756189918145537 0.0018013566732406616 0.0008117692777886987 0.0032120738178491592 0.04177757352590561 0.261906236410141 0.7308314442634583 0.0007232800126075745
    1.2.826.0.1.3680043.8.498.69761532334799204574749066214943884906 0.00170892511960119 0.10597196966409683 0.9202876091003418 0.03210264816880226 0.009658947587013245 0.9343043565750122 0.013714732602238655 0.03404388949275017 0.1226949691772461 0.8638683557510376 0.0016377238789573312
    1.2.826.0.1.3680043.8.498.37041999994371159134168903540250111628 0.0002197339927079156 0.00015221323701553047 0.0004766180645674467 0.0005196061683818698 0.0006746146827936172 0.000201793693122454 0.00022277259267866611 0.026411404833197594 0.07688834518194199 0.8927661776542664 0.000142551347380504
    1.2.826.0.1.3680043.8.498.43370729632727397118576880821967230235 0.0011300623882561922 0.0021411157213151455 0.0013850827235728502 0.0011662928154692054 0.0023694674018770456 0.0004680879064835608 0.008164161816239357 0.20755641162395477 0.5824515223503113 0.3549412488937378 0.0013894661096855998
    1.2.826.0.1.3680043.8.498.27876188098438194460728281017079293138 0.00014015918713994324 0.000143812780152075 0.00019514400628395379 0.0002188059443142265 0.00037950844853185117 3.1203104299493134e-05 0.0004958780482411385 0.01308922003954649 0.41143059730529785 0.7175019979476929 0.00012530847743619233
    1.2.826.0.1.3680043.8.498.28030637903717718369621647947795402034 0.0001931230362970382 0.0003608122351579368 0.0007224848959594965 0.00046642814413644373 0.00038549487362615764 0.0006195154855959117 0.00022444194473791867 0.015137183479964733 0.01856408640742302 0.9850866198539734 6.917532300576568e-05
    1.2.826.0.1.3680043.8.498.21628113596055764554367926477529090869 0.00045868512825109065 0.00034684460842981935 0.00029642361914739013 0.0005865358980372548 0.0007825148059055209 0.00011029599409084767 0.0008187379571609199 0.0791197270154953 0.1222953051328659 0.9014706611633301 0.0003559499455150217
    1.2.826.0.1.3680043.8.498.32136250333297305504675478279170051506 0.00030211504781618714 0.00036589373485185206 0.0004074331372976303 0.00038748339284211397 0.0005086329765617847 0.00020432929159142077 0.0006352182244881988 0.0386880524456501 0.5317193269729614 0.6682050824165344 0.0003536422154866159
    1.2.826.0.1.3680043.8.498.95103039140927362826478362849231363031 0.00014602790179196745 0.00011013911716872826 0.00014304151409305632 0.0002890162286348641 0.00024967119679786265 0.0001023246004479006 7.60417096898891e-05 0.010912748984992504 0.0605231337249279 0.9307993054389954 0.00010915777238551527
    1.2.826.0.1.3680043.8.498.13107379323242840439830322554005233551 0.0005095966043882072 0.007871570996940136 0.9891217350959778 0.005991295911371708 0.04282063990831375 0.10509242117404938 0.7814961671829224 0.025986339896917343 0.152985617518425 0.5880802273750305 0.0003298171213828027
    1.2.826.0.1.3680043.8.498.16726173745062708146195364656800740253 0.00014099689724389464 0.0013694260269403458 0.9989570379257202 0.004768254701048136 0.014966962859034538 0.006354215554893017 0.11538112163543701 0.03789227455854416 0.2634328007698059 0.49086588621139526 0.0001690481003606692
    1.2.826.0.1.3680043.8.498.20517446566434055897162496746839897890 0.0003934417327400297 0.00029937137151136994 0.000723110162653029 0.0010110379662364721 0.0011630558874458075 0.00016602635150775313 0.0011507453164085746 0.09216675907373428 0.060143351554870605 0.9000712633132935 0.00033739450736902654
    1.2.826.0.1.3680043.8.498.72851191902964382711332336216983805230 0.0002994224487338215 0.0005077809328213334 0.0007367936195805669 0.0006758943200111389 0.0005050215986557305 0.0003527739900164306 0.0008335976745001972 0.02902720309793949 0.032769929617643356 0.968347430229187 0.00021517218556255102
    1.2.826.0.1.3680043.8.498.57894128966240824255739190999568325711 0.0006242251256480813 0.0007544621475972235 0.0008108605397865176 0.0007865477236919105 0.0017749534454196692 0.0003038762661162764 0.005936315283179283 0.24668502807617188 0.4826158881187439 0.24763604998588562 0.0005452688783407211
    1.2.826.0.1.3680043.8.498.12278390730800060268283884307455132941 0.0021430053748190403 0.004249943885952234 0.006298799067735672 0.004812196362763643 0.011360344476997852 0.0005392289021983743 0.052451569586992264 0.018353091552853584 0.04972761124372482 0.9521428942680359 0.0008016329957172275
    1.2.826.0.1.3680043.8.498.62594314812568841692643195106144839726 0.00041334517300128937 0.0005236375145614147 0.0015877990517765284 0.002925859298557043 0.0005136028630658984 0.004895287100225687 0.00013968684652354568 0.054460518062114716 0.19120243191719055 0.8442538976669312 0.0009305141866207123
    1.2.826.0.1.3680043.8.498.83677268004073448989304871628706598511 9.72136331256479e-05 0.0011989959748461843 0.9974418878555298 0.00530786719173193 0.006762673147022724 0.023163827136158943 0.007692380342632532 0.028797313570976257 0.31897759437561035 0.553368091583252 0.00011397170601412654
    1.2.826.0.1.3680043.8.498.44541777154292041818307283747453012762 0.000553382677026093 0.009664388373494148 0.9922171831130981 0.0036471299827098846 0.026900673285126686 0.01461078505963087 0.8136035203933716 0.06539686024188995 0.18343818187713623 0.782451331615448 0.0009052468230947852
    1.2.826.0.1.3680043.8.498.62350213707481879491263769691179487474 0.0010903929360210896 0.0023337926249951124 0.0017768985126167536 0.001872617402113974 0.0027532062958925962 0.00022821722086519003 0.017024550586938858 0.45045867562294006 0.25880831480026245 0.5794073343276978 0.0013686001766473055
    1.2.826.0.1.3680043.8.498.51586478383184725895244053598803019067 0.0007602025289088488 0.002948065521195531 0.005870054475963116 0.0011920611141249537 0.00227145291864872 0.001547329593449831 0.03345438092947006 0.04979356378316879 0.12192913144826889 0.9322710037231445 0.0009153304854407907
    1.2.826.0.1.3680043.8.498.34029096872320830444980937118476989839 0.000130085478303954 0.0001321891904808581 0.00018407964671496302 0.00020512077026069164 0.0002639268641360104 8.074375364230946e-05 0.00023118068929761648 0.016367759555578232 0.023272929713129997 0.9685236215591431 8.790756692178547e-05
    1.2.826.0.1.3680043.8.498.10303273670428476332043562163932135795 0.0037285308353602886 0.013211846351623535 0.017062503844499588 0.0042422497645020485 0.01402850728482008 0.015566269867122173 0.9640037417411804 0.156550794839859 0.42341217398643494 0.6384782195091248 0.004744750447571278
    1.2.826.0.1.3680043.8.498.39365750794210135918040882680383994102 0.0004705805331468582 0.0011288474779576063 0.0028948779217898846 0.0007876128074713051 0.0016182285035029054 0.00019551448349375278 0.0062139034271240234 0.012853751890361309 0.05704956129193306 0.9519975781440735 0.0002153360255761072
    1.2.826.0.1.3680043.8.498.32359998902155638139395848990418573352 0.00039036961970850825 0.000547648873180151 0.0007281887228600681 0.0010243377182632685 0.0012364337453618646 0.0002540422137826681 0.00145011767745018 0.013327744789421558 0.029420435428619385 0.973402202129364 0.00014834261673968285
    1.2.826.0.1.3680043.8.498.11042059995269248658895872166956546761 0.00022371175873558968 0.00032948257285170257 0.0004400067846290767 0.0006196670583449304 0.0002431195171084255 0.0005957357352599502 0.00010191833280259743 0.7950289249420166 0.18969601392745972 0.11154792457818985 0.00034745148150250316
    1.2.826.0.1.3680043.8.498.70475196552216409014848140878862465200 9.44069615798071e-05 0.00013011638657189906 0.000122425815789029 0.00011228240327909589 0.00017646828200668097 5.002505076845409e-06 0.00110461818985641 0.00856759026646614 0.07251142710447311 0.9557050466537476 5.531248098122887e-05
    1.2.826.0.1.3680043.8.498.29732117496253398449335997200216755449 0.00014761739294044673 0.00023340759798884392 0.0007403744384646416 0.0002712863788474351 0.0002306676033185795 0.0006400553393177688 0.00012179896293673664 0.008434262126684189 0.07605670392513275 0.9556121826171875 0.00010177640797337517
    1.2.826.0.1.3680043.8.498.34760047302677299022791665733392288472 0.00021664577070623636 0.0002065672306343913 0.0002680826000869274 0.00043140019988641143 0.0002536451502237469 0.00044457061449065804 7.896209717728198e-05 0.09351550042629242 0.3373067080974579 0.5477907657623291 0.00033030990744009614
    1.2.826.0.1.3680043.8.498.86143224189432579370763479931896061665 0.0005094121443107724 0.00035179866245016456 0.0003232020535506308 0.0007141120731830597 0.0007847603410482407 0.00026127329329028726 0.0005382235394790769 0.06243639066815376 0.05543632432818413 0.9220014810562134 0.0003084944619331509
    1.2.826.0.1.3680043.8.498.41090554884016226026056546871668851235 0.0014631988015025854 0.00642372528091073 0.018900800496339798 0.009686136618256569 0.0019060492049902678 0.030233372002840042 0.0007069172570481896 0.019677363336086273 0.052699893712997437 0.9650617837905884 0.0010325617622584105
    1.2.826.0.1.3680043.8.498.10773300937661239043894132961607817238 0.00012146906374255195 0.00010943452070932835 0.00030535744735971093 0.00021521246526390314 0.00023128367320168763 0.0001433102588634938 0.0001286088372580707 0.005493484903126955 0.047997526824474335 0.9425579309463501 8.050310134422034e-05
    1.2.826.0.1.3680043.8.498.52557371732430563698650359236809724023 0.00020421964291017503 0.00011462553084129468 0.00015047084889374673 0.0005699867615476251 0.00040313246427103877 0.00015060792793519795 0.00012120090104872361 0.009604088962078094 0.07858946919441223 0.9277607798576355 0.0001509143621660769
    1.2.826.0.1.3680043.8.498.42664250905224582721046770135501827694 0.00044708242057822645 0.00046628937707282603 0.0004522451781667769 0.0007126513519324362 0.001151384087279439 0.0001925188407767564 0.000652566843200475 0.03550853580236435 0.10209237039089203 0.834442138671875 0.0002315578021807596
    1.2.826.0.1.3680043.8.498.11794898300143650647011492310530413986 0.00017419712094124407 0.0001313177781412378 0.0001917557092383504 0.00025571073638275266 0.0003873472160194069 4.36702357546892e-05 0.00031028411467559636 0.025040198117494583 0.08013913780450821 0.9355874061584473 0.00012926918861921877
    1.2.826.0.1.3680043.8.498.12458281046398642230340707308664408780 0.00017170859791804105 0.0001288351195398718 0.00012176769087091088 0.00033874018117785454 0.00033594592241570354 0.00010178816592087969 0.00015967631770763546 0.1746141016483307 0.6334666013717651 0.1641407012939453 0.0002786389668472111
    1.2.826.0.1.3680043.8.498.18995748374268735234409811515491168660 0.00041925301775336266 0.0011896081268787384 0.0021544492337852716 0.0004249076882842928 0.0015033769886940718 9.222821972798556e-05 0.06958189606666565 0.03188086301088333 0.13509003818035126 0.9082765579223633 0.00030182008049450815
    1.2.826.0.1.3680043.8.498.33878131661702036767081835685603656895 0.00018833739159163088 0.00018429009651299566 0.00034937134478241205 0.00031033277628012 0.0004121483361814171 0.00025845272466540337 0.0001585309801157564 0.016833219677209854 0.12869349122047424 0.8841248750686646 0.00011651941167656332
    1.2.826.0.1.3680043.8.498.94273688104171446440567832290901170695 0.0009960634633898735 0.001112264348194003 0.0018657207256183028 0.003729256335645914 0.006322125904262066 0.003084110328927636 0.006780901458114386 0.03769051656126976 0.33298325538635254 0.754676342010498 0.0008206155034713447
    1.2.826.0.1.3680043.8.498.64049991414341725692861545614048352575 0.000279201049124822 0.0005819552461616695 0.0008343812078237534 0.000435226975241676 0.0007918351329863071 9.203077206620947e-05 0.007563083432614803 0.004893110133707523 0.040543507784605026 0.9774178266525269 0.00011676854774123058
    1.2.826.0.1.3680043.8.498.98979209780443059446452179995017889809 0.0002089506306219846 0.00018930873193312436 0.000342177547281608 0.0002907975285779685 0.000523087743204087 2.5122582883341238e-05 0.000624315463937819 0.009924568235874176 0.06990058720111847 0.9537361860275269 0.00010208624735241756
    1.2.826.0.1.3680043.8.498.67698353963650183869820417504991470944 0.00012063782196491957 8.659050217829645e-05 0.00010186713188886642 0.00021907876362092793 0.00019535011961124837 6.155992741696537e-05 0.00011980673298239708 0.039033155888319016 0.3825263977050781 0.6702562570571899 0.00010408420348539948
    1.2.826.0.1.3680043.8.498.87859325627261197742720332710033152204 0.0002670614921953529 0.0001963516988325864 0.00024864557781256735 0.00041645122109912336 0.0005743628134950995 0.00010552808817010373 0.00023190586944110692 0.04051523655653 0.24815157055854797 0.7090438008308411 0.00026715072453953326
    1.2.826.0.1.3680043.8.498.77876018437584645984663157069953738025 0.0003963210037909448 0.0005754880839958787 0.00046708201989531517 0.00026761164190247655 0.0006323704146780074 8.73892058734782e-05 0.0033971178345382214 0.08297201991081238 0.1751093566417694 0.7731221914291382 0.0014617921551689506
    1.2.826.0.1.3680043.8.498.26535242386518351028435105268327185670 0.0002533073420636356 0.0001948104181792587 0.0002487410674802959 0.0005210887175053358 0.0004898795741610229 9.596665040589869e-05 0.00028945686062797904 0.050868965685367584 0.18436174094676971 0.8206233978271484 0.0002064382133539766
    1.2.826.0.1.3680043.8.498.69678445959554683882722907578319741245 0.000542675144970417 0.0005363080417737365 0.0004530607839114964 0.0005409332807175815 0.0011525469599291682 0.00020202365703880787 0.0005280582117848098 0.5267035961151123 0.29298776388168335 0.21918249130249023 0.000523966911714524
    1.2.826.0.1.3680043.8.498.15665051886387043812645695665269695124 0.00035413270234130323 0.00048100887215696275 0.0005439078668132424 0.0006366464076563716 0.0003805352025665343 0.0006324336281977594 0.000363511877367273 0.029379645362496376 0.19052454829216003 0.8181252479553223 0.0002476610825397074
    1.2.826.0.1.3680043.8.498.14848379969600876538884031326888991895 0.0003312954504508525 0.00035665996256284416 0.0003692486498039216 0.00041493106982670724 0.0007579377852380276 2.0003961253678426e-05 0.0019692888017743826 0.03305576741695404 0.23437395691871643 0.7871283888816833 0.00024125324853230268
    1.2.826.0.1.3680043.8.498.80412060788978875629920022436275128625 0.0002693177666515112 0.0002638775622472167 0.00023965635045897216 0.00033013755455613136 0.00043025589548051357 8.271978003904223e-05 0.0004854718572460115 0.0256308913230896 0.08444363623857498 0.9163492321968079 0.0001694616803433746
    1.2.826.0.1.3680043.8.498.78145051821702520978904353174239464484 0.000962702848482877 0.0008862984250299633 0.0014308611862361431 0.002080365549772978 0.0013762579765170813 0.0011015546042472124 0.0012528919614851475 0.209693044424057 0.32641175389289856 0.4037834107875824 0.000836241350043565
    1.2.826.0.1.3680043.8.498.55782720675326550262893311106139070009 0.00038222206057980657 0.0006652406300418079 0.0016515204915776849 0.001983169699087739 0.00037249905290082097 0.006145205814391375 0.00010482232028152794 0.08752202987670898 0.19829300045967102 0.7549294233322144 0.0011255464050918818
    1.2.826.0.1.3680043.8.498.48735823956060472074122434506186576308 0.00028200974338687956 0.0002679144381545484 0.0003653733874671161 0.0007014406728558242 0.000951632100623101 6.181809294503182e-05 0.0005759826744906604 0.009350733831524849 0.06431665271520615 0.92912757396698 0.00016041172784753144
    1.2.826.0.1.3680043.8.498.90071803978840875967398613858895072823 0.001998600782826543 0.00158497819211334 0.0016923357034102082 0.00789257325232029 0.008281645365059376 0.007214465644210577 0.004488167352974415 0.07520773261785507 0.05547585338354111 0.9085525274276733 0.0010902992216870189
    1.2.826.0.1.3680043.8.498.90697226926234478969950803822634647176 0.028132891282439232 0.34839707612991333 0.5741336941719055 0.013546785339713097 0.05231529474258423 0.04020177572965622 0.7438042163848877 0.10743208229541779 0.3518092930316925 0.7332838773727417 0.005612887442111969
    1.2.826.0.1.3680043.8.498.10383604010825150071811475653051269070 0.0015232748119160533 0.0018975988496094942 0.0015341343823820353 0.0065443189814686775 0.02932876907289028 0.014934390783309937 0.9582322239875793 0.03180033341050148 0.23626849055290222 0.8858178853988647 0.00139244191814214
    1.2.826.0.1.3680043.8.498.82587113351250411782871251851761311135 0.0001753323886077851 0.00014120775449555367 0.0004095394688192755 0.00033077099942602217 0.0004054925811942667 7.089228893164545e-05 0.00023013798636384308 0.0039482926949858665 0.06218007951974869 0.9477473497390747 0.00010845054930541664
    1.2.826.0.1.3680043.8.498.97714060911006359636088338119261550160 0.00026009633438661695 0.00022961078502703458 0.0004746209306176752 0.0007517881458625197 0.0004143881960771978 0.0010289812926203012 0.00010095057223225012 0.06619931757450104 0.2835233807563782 0.716877281665802 0.0004487702972255647
    1.2.826.0.1.3680043.8.498.10147738825966367836799056571668284339 0.0007634044741280377 0.0005651008104905486 0.0006844999152235687 0.0016744427848607302 0.0009399070404469967 0.0011519601102918386 0.0004255610110703856 0.319160521030426 0.16686934232711792 0.6492993235588074 0.0006757002556696534
    1.2.826.0.1.3680043.8.498.61707530827138029992991242331306253608 0.0012774835340678692 0.05034627765417099 0.8857392072677612 0.002189051592722535 0.026428978890180588 0.0037999101914465427 0.9478602409362793 0.020370621234178543 0.11366967856884003 0.9428211450576782 0.000986459432169795
    1.2.826.0.1.3680043.8.498.11819445701870040873931654879327889594 0.00020594222587533295 0.00019102390797343105 0.00034711541957221925 0.0008745362865738571 0.00035602570278570056 0.00044116860954090953 6.137855962151662e-05 0.15005651116371155 0.7319924235343933 0.24991849064826965 0.0004087521811015904
    1.2.826.0.1.3680043.8.498.36968171498393691480112610245541771295 0.00031720841070637107 0.00024406661395914853 0.00027242855867370963 0.0006533474079333246 0.00028732887585647404 0.0005865282146260142 8.608381904195994e-05 0.09857020527124405 0.1280772089958191 0.7859119772911072 0.00025696633383631706
    1.2.826.0.1.3680043.8.498.82642236720001238081743958447240212743 0.00046112685231491923 0.0005012173787690699 0.00033134734258055687 0.0006583657232113183 0.0009850907372310758 0.0001607889134902507 0.0015837445389479399 0.04069053754210472 0.11835251748561859 0.8766905665397644 0.00047823600471019745
    1.2.826.0.1.3680043.8.498.17002156521081654633688450483863069486 0.00018339739472139627 0.00027992320246994495 0.0006068801740184426 0.0007934860768727958 0.0003088362864218652 0.0015118506271392107 8.339409396285191e-05 0.008551433682441711 0.02350858971476555 0.9766783714294434 0.000161139338160865
    1.2.826.0.1.3680043.8.498.33924466402379551374365221189692990437 0.0010420798789709806 0.0020959104876965284 0.004720589146018028 0.0027588275261223316 0.0035095836501568556 0.0007712781080044806 0.0027759484946727753 0.022822674363851547 0.06711094826459885 0.9408245086669922 0.0007710919016972184
    1.2.826.0.1.3680043.8.498.11369042710630997837002724442468309403 0.00019675232761073858 0.00015569562674500048 0.0002698829339351505 0.0005016120849177241 0.0009542012703604996 5.461880937218666e-05 0.000347927154507488 0.002877109916880727 0.01676778867840767 0.9893451929092407 8.274481660919264e-05
    1.2.826.0.1.3680043.8.498.93209523497850942773930282892278558203 0.0045305280946195126 0.12477030605077744 0.8597140312194824 0.008208024315536022 0.031512562185525894 0.20442712306976318 0.5226140022277832 0.03592846542596817 0.20304889976978302 0.8951296806335449 0.0021311205346137285
    1.2.826.0.1.3680043.8.498.97185839098007604142224483615330201686 0.0008141637081280351 0.0005774000892415643 0.001237289747223258 0.004630520939826965 0.0015817703679203987 0.0030410492327064276 0.0008475982467643917 0.9329161643981934 0.06998775154352188 0.08449220657348633 0.0008391349692828953
    1.2.826.0.1.3680043.8.498.12899829375348130030933505817444509797 0.00032117971568368375 0.0010006389347836375 0.0015274106990545988 0.0007478496991097927 0.00041892315493896604 0.004612511955201626 0.0003066622302867472 0.17689302563667297 0.588463544845581 0.3590049147605896 0.0006156606832519174
    1.2.826.0.1.3680043.8.498.31228404093565885997822080891648560222 0.0004500944633036852 0.0005668826634064317 0.001012089429423213 0.0007900715572759509 0.0015073379036039114 0.00019975782197434455 0.0012636135797947645 0.017805492505431175 0.11490429937839508 0.9245093464851379 0.00028310815105214715
    1.2.826.0.1.3680043.8.498.73698211933776528789778078966974932305 0.0006723226979374886 0.001168814254924655 0.0012174011208117008 0.0022856579162180424 0.0007029067492112517 0.008470907807350159 0.0006008580676279962 0.33657580614089966 0.4200071394443512 0.32955628633499146 0.001370230340398848
    1.2.826.0.1.3680043.8.498.10927729897245180242189759659897058657 0.0001726972113829106 0.002049606293439865 0.9987702369689941 0.006523940712213516 0.01035547535866499 0.030700404196977615 0.014028805308043957 0.03496792912483215 0.1982841193675995 0.7798900604248047 0.00028037227457389235
    1.2.826.0.1.3680043.8.498.30157904579798382921921094741306935505 0.00019308742776047438 0.00031732377829030156 0.001373862149193883 0.000679159420542419 0.0008779150666669011 0.001750111929140985 0.0004680817946791649 0.004710026551038027 0.019770018756389618 0.9855116009712219 0.00010256180394208059
    1.2.826.0.1.3680043.8.498.22275452757450917051044505015177559483 0.00023552472703158855 0.00020357411995064467 0.00043023223406635225 0.0003623252850957215 0.000446871854364872 0.0003159638145007193 0.00016876020526979119 0.04631434381008148 0.2578122913837433 0.7519477605819702 0.00017301025218330324
    1.2.826.0.1.3680043.8.498.59171392717925004861597257597828712853 0.00020855238835792989 0.0001659027038840577 0.00037339134723879397 0.0004596353101078421 0.0007058320916257799 7.142602407839149e-05 0.0002834384795278311 0.005406610667705536 0.028042849153280258 0.9774839282035828 0.00012655991304200143
    1.2.826.0.1.3680043.8.498.25475895309180214773457543870502854223 0.0002507439348846674 0.00017905744607560337 0.00030460971174761653 0.0004091137961950153 0.00038344887434504926 0.0003172966535203159 7.38450835342519e-05 0.10164688527584076 0.21062545478343964 0.7254506945610046 0.0002496893284842372
    1.2.826.0.1.3680043.8.498.23939783197583323049771851595139408863 0.00011156230175402015 0.00016099998902063817 0.00022161795641295612 0.00022103448281995952 0.0002659008896443993 0.00023731761029921472 0.0001850291882874444 0.006805442273616791 0.012259694747626781 0.9903842806816101 6.763484270777553e-05
    1.2.826.0.1.3680043.8.498.50289433648421530681496937548975906408 0.0007200486143119633 0.014027277007699013 0.9881107211112976 0.015245105139911175 0.03925677388906479 0.7015501260757446 0.1944790780544281 0.008160950616002083 0.09012766927480698 0.9930394291877747 0.001818219549022615
    1.2.826.0.1.3680043.8.498.28351736103568572788841482836041902686 0.006122967228293419 0.012414230965077877 0.017382843419909477 0.012044383212924004 0.011193543672561646 0.02764294110238552 0.02598111890256405 0.11667759716510773 0.2017156332731247 0.822242259979248 0.9037138819694519
    1.2.826.0.1.3680043.8.498.50092225491365342779713524825166266987 0.0003030587686225772 0.00020566268358379602 0.00032728753285482526 0.000542987952940166 0.000856280792504549 7.353315595537424e-05 0.00032293153344653547 0.02373342588543892 0.13643866777420044 0.8370932340621948 0.00022271237685345113
    1.2.826.0.1.3680043.8.498.51310099658444158988402918394218961482 0.00027730967849493027 0.001447380636818707 0.001721449545584619 0.00014401596854440868 0.00030438959947787225 1.4268965060182381e-05 0.07596275955438614 0.08621646463871002 0.1930847465991974 0.9140755534172058 0.0003613521112129092
    1.2.826.0.1.3680043.8.498.99002469249483372774617788635622791417 0.00015467721095774323 0.00014578989066649228 0.00019850496028084308 0.00083449314115569 0.00011191082739969715 0.000644626677967608 2.5133296730928123e-05 0.10843892395496368 0.06072998046875 0.9138866662979126 0.00024732339079491794
    1.2.826.0.1.3680043.8.498.63051499020247006960794720285808108169 0.0004624721477739513 0.0032732964027673006 0.017293591052293777 0.0020780102349817753 0.002027293900027871 0.0026379735209047794 0.01971162110567093 0.00673762708902359 0.045032259076833725 0.9553890228271484 0.00047744082985445857
    1.2.826.0.1.3680043.8.498.13266697753583870548703462490416547777 0.004572820849716663 0.08532657474279404 0.7966933250427246 0.019953090697526932 0.03998686745762825 0.19661232829093933 0.20113393664360046 0.3680894076824188 0.5287874937057495 0.43478184938430786 0.0027948799543082714
    1.2.826.0.1.3680043.8.498.76163905757084944829049083243056095710 0.0009063123725354671 0.0019486465025693178 0.001945921452715993 0.0019596426282078028 0.0024022620636969805 0.00037622745730914176 0.0025219288654625416 0.2893657982349396 0.6606545448303223 0.40950489044189453 0.0011792866280302405
    1.2.826.0.1.3680043.8.498.12395617796342739170781835459824261311 0.00030723659438081086 0.00023449983564205468 0.00023832656734157354 0.0005160115542821586 0.0006819574045948684 0.00028417614521458745 0.0002763395314104855 0.07195500284433365 0.31782767176628113 0.5855997800827026 0.0003419354325160384
    1.2.826.0.1.3680043.8.498.78712611008656333096370981051174029627 0.00022071599960327148 0.00019960329518653452 0.0002456648799125105 0.0003452878736425191 0.00047601526603102684 9.568264067638665e-05 0.00044307258212938905 0.0052484795451164246 0.05886813998222351 0.9473832845687866 0.00011536859528860077
    1.2.826.0.1.3680043.8.498.12043180432034734679542277613509201916 0.000459663278888911 0.00034082570346072316 0.000239174158195965 0.0007942928932607174 0.00044035661267116666 0.0004970774170942605 0.00010899893095484003 0.33019280433654785 0.3299160301685333 0.367267906665802 0.0004452203866094351
    1.2.826.0.1.3680043.8.498.15926033852724480736156865753486380414 0.00020968136959709227 0.0001281860750168562 0.0001923891541082412 0.0003102630143985152 0.0003381567366886884 6.663840758847073e-05 0.00012510063243098557 0.013718590140342712 0.23233619332313538 0.808414101600647 0.00015627770335413516
    1.2.826.0.1.3680043.8.498.50768292155389965024119318308733317071 0.000784986768849194 0.0012210847344249487 0.0022235698997974396 0.001462216372601688 0.0023274309933185577 0.0015213931910693645 0.003231711219996214 0.06182146072387695 0.05266126990318298 0.8982019424438477 0.0005239838501438498
    1.2.826.0.1.3680043.8.498.18574611311287679070015724715037786858 0.00032375319278799 0.00040783415897749364 0.00036017008824273944 0.0008294860017485917 0.0008962908759713173 3.723416739376262e-05 0.0028263223357498646 0.32266464829444885 0.28914421796798706 0.4241207540035248 0.00038875985774211586
    1.2.826.0.1.3680043.8.498.58303832273808804360396714017791515355 0.00019570303265936673 0.00011100406118202955 0.00026989640900865197 0.000429082487244159 0.00036845216527581215 0.00021417660173028708 8.666597568662837e-05 0.02863282337784767 0.3998003602027893 0.5292490124702454 0.0002260379260405898
    1.2.826.0.1.3680043.8.498.17836237876544165822973898446719260306 0.0003532040282152593 0.0004829822573810816 0.00045785418478772044 0.0012843400472775102 0.00041234042146243155 0.0007730087381787598 0.00016478970064781606 0.17111462354660034 0.7325733304023743 0.16817104816436768 0.0004297879640944302
    1.2.826.0.1.3680043.8.498.34485552655993688007798196739274383812 0.0016347139608114958 0.0018923230236396194 0.0015406314050778747 0.0027412984054535627 0.004853502847254276 0.00024942358140833676 0.013786757364869118 0.6267825365066528 0.26571643352508545 0.22643430531024933 0.0031876645516604185
    1.2.826.0.1.3680043.8.498.15521596664946843856594044631272878913 0.0003010017389897257 0.000306734029436484 0.0003892531094606966 0.0007100588409230113 0.000390019005862996 0.0008878365042619407 0.00013842291082255542 0.07878720760345459 0.49229878187179565 0.5548676252365112 0.0003089792444370687
    1.2.826.0.1.3680043.8.498.97943327692993748445717237947668011105 0.00045550274080596864 0.0010097998892888427 0.001140908687375486 0.0012069514486938715 0.00045017088996246457 0.002580467611551285 0.00029199622804298997 0.2415563315153122 0.46104487776756287 0.36398905515670776 0.0009703902760520577
    1.2.826.0.1.3680043.8.498.36450472227585036045567500285725773138 0.00017679492884781212 0.00013091406435705721 0.00019562666420824826 0.0003010930377058685 0.00019966922991443425 0.00020821599173359573 5.822180537506938e-05 0.03585716336965561 0.22152256965637207 0.7529285550117493 0.0002241463225800544
    1.2.826.0.1.3680043.8.498.85414485571411883150176880591766875402 0.0010730887297540903 0.0017505309078842402 0.0018588106613606215 0.0024330350570380688 0.0025389636866748333 0.0005391190061345696 0.002455967478454113 0.1935531497001648 0.3146170377731323 0.6204057335853577 0.0013515270547941327
    1.2.826.0.1.3680043.8.498.81961001613006669219162606145484329026 0.000593764241784811 0.019669465720653534 0.9774147272109985 0.0023264943156391382 0.026015978306531906 0.022979911416769028 0.8147565722465515 0.025454338639974594 0.20463982224464417 0.8937159776687622 0.0004222645366098732
    1.2.826.0.1.3680043.8.498.11963097237458541790343326567369442101 0.00019706235616467893 0.0001498907950008288 0.00013643744750879705 0.00037914467975497246 0.000422054115915671 5.392754610511474e-05 0.00019696254457812756 0.012065744027495384 0.03757492080330849 0.9620751142501831 0.00010859670874197036
    1.2.826.0.1.3680043.8.498.92951211712151659912127289256868916019 0.00025753170484676957 0.0002719965414144099 0.00034730357583612204 0.0004399881581775844 0.0006963037885725498 9.356767986901104e-05 0.0003537394222803414 0.014022670686244965 0.08762876689434052 0.9123479723930359 0.00015606687520630658
    1.2.826.0.1.3680043.8.498.87266304456638029179069329413176192776 0.00023175803653430194 0.00020884725381620228 0.00024134879640769213 0.000721102231182158 0.00022173761681187898 0.0005175809492357075 5.7939720136346295e-05 0.021487822756171227 0.06377114355564117 0.945344090461731 0.00018576954607851803
    1.2.826.0.1.3680043.8.498.10076162575336392563870100478885106521 0.00013504180242307484 0.00015374604845419526 0.00044130985043011606 0.0005190820666030049 0.00029274250846356153 0.0005997116677463055 5.948239049757831e-05 0.007970146834850311 0.02739056386053562 0.9714342355728149 9.11779425223358e-05
    1.2.826.0.1.3680043.8.498.13021427326127112920444622077156019189 0.00034317257814109325 0.000440267933299765 0.0004427436215337366 0.0004529100260697305 0.0006974291754886508 0.00024012566427700222 0.001661058166064322 0.045364491641521454 0.5093692541122437 0.7359873652458191 0.0003318713861517608
    1.2.826.0.1.3680043.8.498.52459205026911756903065664727382004344 0.09097877889871597 0.546538233757019 0.28893178701400757 0.04506034031510353 0.04805535078048706 0.08033829927444458 0.6942341327667236 0.22904829680919647 0.31000232696533203 0.33090895414352417 0.01513846404850483
    1.2.826.0.1.3680043.8.498.68339829821720845227276877082197060818 0.00015360962424892932 0.00016532829613424838 0.00047277199337258935 0.0005547692999243736 0.00023561486159451306 0.00047058952623046935 7.072673179209232e-05 0.014022213406860828 0.015182459726929665 0.979476273059845 7.92878563515842e-05
    1.2.826.0.1.3680043.8.498.36164393540945777585026134671535385659 0.00022804512991569936 0.0003958891029469669 0.0003144927031826228 0.0002613599062897265 0.0003513233968988061 8.4534622146748e-05 0.0004453142173588276 0.02814604714512825 0.24974699318408966 0.7589695453643799 0.00012836493260692805
    1.2.826.0.1.3680043.8.498.67165394769650702101671804380218438984 0.005830544512718916 0.12321627140045166 0.8306066393852234 0.011791044846177101 0.0552486777305603 0.05441731959581375 0.7629671692848206 0.175065815448761 0.3449689745903015 0.8660505414009094 0.00432312348857522
    1.2.826.0.1.3680043.8.498.90466349281659865767615086422389226378 0.003939084243029356 0.040360674262046814 0.9455097913742065 0.041280150413513184 0.1546519547700882 0.06092708185315132 0.45988646149635315 0.04438507556915283 0.14101657271385193 0.5011637806892395 0.0013155273627489805
    1.2.826.0.1.3680043.8.498.29103460857439857455412081404442519044 0.002719050971791148 0.008125776425004005 0.010173053480684757 0.013446534052491188 0.07059296220541 0.18861357867717743 0.863013744354248 0.053468383848667145 0.3384769558906555 0.4877552390098572 0.0006198562914505601
    1.2.826.0.1.3680043.8.498.91098307842027616670692887562001957949 0.006716802716255188 0.03502250090241432 0.03280411288142204 0.008461492136120796 0.04277122765779495 0.050967633724212646 0.9566804766654968 0.08555211871862411 0.25618308782577515 0.8713582754135132 0.22942042350769043
    1.2.826.0.1.3680043.8.498.91843711027872326815787383110884271613 0.00019513654115144163 0.00016378021973650903 0.00020468406728468835 0.00034028638037852943 0.0002671069232746959 0.00020121608395129442 6.587431562365964e-05 0.02937590703368187 0.44087475538253784 0.6318596005439758 0.00017953748465515673
    1.2.826.0.1.3680043.8.498.21795332269436991397581716499162192619 0.0009525773930363357 0.002410222077742219 0.0026504474226385355 0.0028420945163816214 0.0014927427982911468 0.0016886901576071978 0.0008468733285553753 0.41972702741622925 0.765670895576477 0.25634491443634033 0.001084008952602744
    1.2.826.0.1.3680043.8.498.54549717719807083261556142570490909204 0.0003463636094238609 0.00044062029337510467 0.0005110226338729262 0.0005296611343510449 0.0006507732905447483 0.0005385401309467852 0.0003007032792083919 0.021660104393959045 0.05761595442891121 0.9144821166992188 0.0001410559198120609
    1.2.826.0.1.3680043.8.498.11987594427829312312085505721778720838 0.00042553077219054103 0.0003949184902012348 0.0006427793996408582 0.0007038903422653675 0.0013105468824505806 0.00013318283890839666 0.0007972059538587928 0.06217695400118828 0.12106049060821533 0.7787251472473145 0.0003511825925670564
    1.2.826.0.1.3680043.8.498.45743297257726494957500216325076923841 0.0002983920567203313 0.0003366318123880774 0.0003447228518780321 0.0010985344415530562 0.0006026005721651018 0.0017910916358232498 0.00016068012337200344 0.03833245486021042 0.44258230924606323 0.7962666153907776 0.0006096006254665554
    1.2.826.0.1.3680043.8.498.11267450732449185299672229166770027093 0.005288976710289717 0.12766173481941223 0.5087516903877258 0.002717349212616682 0.03040824830532074 0.01668749749660492 0.9538145065307617 0.03695022314786911 0.2689281105995178 0.6400333046913147 0.010349160991609097
    1.2.826.0.1.3680043.8.498.14560867641810338322691605541221852994 0.00028186937561258674 0.00024860238772816956 0.00020907039288431406 0.000492196879349649 0.0007782650063745677 4.42745877080597e-05 0.00032503000693395734 0.03443391993641853 0.4365812838077545 0.6068782806396484 0.0003390713536646217
    1.2.826.0.1.3680043.8.498.82332359318897858025665935969093483700 0.00045562247396446764 0.0005246425280347466 0.0008876626379787922 0.0008958048420026898 0.0006202438962645829 0.0005480832187458873 0.00022323240409605205 0.0783984586596489 0.3265712857246399 0.7622333765029907 0.0006138735916465521
    1.2.826.0.1.3680043.8.498.72177457402669578104033443398870922206 0.00020638325077015907 0.00025707395980134606 0.00025139833451248705 0.00037440299638547003 0.00034469732781872153 0.00017204311734531075 0.00019497489847708493 0.5445026159286499 0.2910560667514801 0.17240303754806519 0.0002455462818033993
    1.2.826.0.1.3680043.8.498.71351012061042339126991599757538509779 0.00013663922436535358 0.0002671818947419524 0.0006963248597458005 0.0007125350530259311 0.0001526039413874969 0.0017167932819575071 2.670669709914364e-05 0.012689799070358276 0.11966435611248016 0.9186276197433472 0.00016350428631994873
    1.2.826.0.1.3680043.8.498.50777335127742795916507557226843007194 0.00018813452334143221 0.0005178533028811216 0.000605928071308881 0.0002190283266827464 0.0005396758206188679 0.00010751894296845421 0.0014335522428154945 0.009156784042716026 0.056315936148166656 0.9558309316635132 0.00010492353612789884
    1.2.826.0.1.3680043.8.498.85834908432612007264445521539634347384 0.00013111814041621983 6.343016866594553e-05 6.602329085581005e-05 0.00022997663472779095 0.00032329914392903447 2.149983265553601e-05 8.057647937675938e-05 0.007911089807748795 0.1523083597421646 0.8348022699356079 8.678216545376927e-05
    1.2.826.0.1.3680043.8.498.12775969669863361888774708249762355183 0.00021228173864074051 0.0002613636024761945 0.00026844910462386906 0.000326464360114187 0.0004982067039236426 2.3662340026930906e-05 0.000779093592427671 0.06574679911136627 0.456449419260025 0.5803145170211792 0.00019013634300790727
    1.2.826.0.1.3680043.8.498.69157784375059395775877490104365849619 0.0056911357678473 0.12072329223155975 0.9369814991950989 0.05327038839459419 0.026324719190597534 0.8098184466362 0.25906360149383545 0.13587799668312073 0.3568740487098694 0.1568257212638855 0.0027843404095619917
    1.2.826.0.1.3680043.8.498.95741586757876838581374554330651495061 0.0016150502488017082 0.003508636262267828 0.0048288628458976746 0.007885564118623734 0.002075467025861144 0.022260496392846107 0.00044210319174453616 0.6089135408401489 0.20861086249351501 0.30344468355178833 0.006259613670408726
    1.2.826.0.1.3680043.8.498.73518240701889907532796355994804570272 0.00041767265065573156 0.00025125499814748764 0.0003664825635496527 0.0010605382267385721 0.001064232550561428 0.0001451825664844364 0.0004853427817579359 0.030154356732964516 0.18324683606624603 0.8595300912857056 0.0004051632131449878
    1.2.826.0.1.3680043.8.498.45521118197891595252987029217665647765 0.0005865428829565644 0.0005820600199513137 0.0008724465733394027 0.0013667824678122997 0.0018590381368994713 0.0001814650313463062 0.0011588451452553272 0.18754903972148895 0.5629243850708008 0.27869659662246704 0.0006048243958503008
    1.2.826.0.1.3680043.8.498.88935228933866576559771581267572219380 0.0005310776177793741 0.001200194237753749 0.0013222255511209369 0.0006161552155390382 0.0012069704243913293 0.0002281728375237435 0.0037788539193570614 0.06176023557782173 0.3035440444946289 0.8564032316207886 0.0005437704967334867
    1.2.826.0.1.3680043.8.498.62784479782013712428748295000702078995 0.0003477127174846828 0.0002706277300603688 0.00020894667250104249 0.0005649077938869596 0.0005469153984449804 0.00012563062773551792 0.00021150233806110919 0.033380549401044846 0.23812051117420197 0.7926807999610901 0.00030480854911729693
    1.2.826.0.1.3680043.8.498.11429923790469365370291393185348695970 0.00039863158599473536 0.00030589860398322344 0.0005091995117254555 0.001929928781464696 0.0008046450093388557 0.0011066091246902943 0.00020175350073259324 0.027495384216308594 0.009384514763951302 0.9819269180297852 0.0002550512144807726
    1.2.826.0.1.3680043.8.498.30061158153661523689342552277456486131 0.00023216509725898504 0.0004271625657565892 0.0006670954171568155 0.00032402219949290156 0.0005620398442260921 0.00017647452477831393 0.0023628207854926586 0.03232597932219505 0.06606288999319077 0.9003661870956421 0.00031788559863343835
    1.2.826.0.1.3680043.8.498.18924792422878367243281862271752477952 0.0002623763575684279 0.0001283015008084476 0.0001216649980051443 0.00046767707681283355 0.0005119278794154525 6.838148692622781e-05 0.00013925626990385354 0.034657351672649384 0.17221754789352417 0.8467647433280945 0.0002108225889969617
    1.2.826.0.1.3680043.8.498.66430325306412441543066475086837133882 0.0002898617531172931 0.00031996562029235065 0.000246118928771466 0.0003321802360005677 0.000552769866771996 2.6644131139619276e-05 0.0019019593019038439 0.018383655697107315 0.07563627511262894 0.9443291425704956 0.000246465700911358
    1.2.826.0.1.3680043.8.498.11723902371464746726624397892666911379 0.0003565601946320385 0.0006220144568942487 0.0014272327534854412 0.0009507417562417686 0.0027227525133639574 0.0001643033028813079 0.004265476483851671 0.006162515375763178 0.03945111110806465 0.9836339950561523 0.0001511146838311106
    1.2.826.0.1.3680043.8.498.10219791499222367933694069727947999617 0.0001779364829417318 0.0003043393953703344 0.00044707293272949755 0.00040420758887194097 0.0002990413340739906 0.0005662126350216568 0.00017176441906485707 0.008887989446520805 0.0119886863976717 0.9898950457572937 6.64288381813094e-05
    1.2.826.0.1.3680043.8.498.41847854134954863874366454773034476323 0.0002842240210156888 0.00027303857496008277 0.0002749167906586081 0.00043863337486982346 0.0005228081718087196 8.102589345071465e-05 0.00040721529512666166 0.035130225121974945 0.5659607648849487 0.577857494354248 0.00025807222118601203
    1.2.826.0.1.3680043.8.498.11096913338408163496298281757410583914 0.00011685417121043429 0.00010897034371737391 0.00019007000082638115 0.00018248330161441118 0.00026254431577399373 3.8343081541825086e-05 0.00034050262183882296 0.004382622893899679 0.02864925004541874 0.9707943201065063 5.520204285858199e-05
    1.2.826.0.1.3680043.8.498.78627610271437744978224392945215343082 0.00013031567505095154 0.00033681251807138324 0.0009510272066108882 0.0006136950687505305 9.395985398441553e-05 0.003938709385693073 2.110731838911306e-05 0.04820796474814415 0.5676348805427551 0.6450839042663574 0.00036274883314035833
    1.2.826.0.1.3680043.8.498.94599056004622082999547858432158278237 0.0005687418743036687 0.0005402386886999011 0.0007255318341776729 0.0009142296621575952 0.0018329943995922804 0.00019280138076283038 0.0007736605475656688 0.12143103778362274 0.16886621713638306 0.7309255599975586 0.0005561339785344899
    1.2.826.0.1.3680043.8.498.76292693940134632872055164662647609340 0.00030389323364943266 0.00031130295246839523 0.0007140490342862904 0.0009801180567592382 0.0008356996695511043 0.0004441773926373571 0.0005186361959204078 0.019852811470627785 0.02242209017276764 0.9679923057556152 0.00040397857083007693
    1.2.826.0.1.3680043.8.498.11660120655578599750196920642526078632 0.0003425493778195232 0.0003232542076148093 0.0002641144674271345 0.0004972973256371915 0.000745264464057982 4.582892870530486e-05 0.0005403681425377727 0.06626066565513611 0.35046812891960144 0.5352621674537659 0.0002953294606413692
    1.2.826.0.1.3680043.8.498.20702630727922368607699887227729151578 0.00017316862067673355 0.00011154360981890932 0.00018296792404726148 0.0003401704307179898 0.00042655615834519267 6.94893897161819e-05 0.0001483925007050857 0.006993092596530914 0.12334661185741425 0.9106882214546204 0.00011049989552702755
    1.2.826.0.1.3680043.8.498.43684991455614571798252311357903835967 0.00028240089886821806 0.00022702924616169184 0.0002009597374126315 0.000391322944778949 0.00035026256227865815 0.0001307809870922938 0.00020860228687524796 0.013584420084953308 0.20173363387584686 0.7650091648101807 0.00018280647054780275
    1.2.826.0.1.3680043.8.498.92494633322114159553599995765897665038 0.00019625516142696142 0.00017380712961312383 0.0001814563147490844 0.0003628683334682137 0.00036811543395742774 0.00014041896793060005 0.0004264185263309628 0.05339968949556351 0.43992024660110474 0.4162568151950836 0.0002487515448592603
    1.2.826.0.1.3680043.8.498.10039401492697594702721419778354124290 0.00652765017002821 0.1565782129764557 0.7297645211219788 0.010485703125596046 0.048277296125888824 0.055420003831386566 0.5312753915786743 0.04840030521154404 0.2301425039768219 0.790798008441925 0.0009291988098993897
    1.2.826.0.1.3680043.8.498.12973190712583914520797404392073469749 0.0007441434427164495 0.0007686145836487412 0.0007212904165498912 0.0017818904016166925 0.0007385723292827606 0.0006919336155988276 0.0007246544701047242 0.11924741417169571 0.25118154287338257 0.6241905093193054 0.0008426752174273133
    1.2.826.0.1.3680043.8.498.73114954811261228619383192059563167741 0.0005757352337241173 0.0009378418326377869 0.0019379190634936094 0.005193017423152924 0.002918603830039501 0.06888170540332794 0.0029041063971817493 0.009361064992845058 0.06323423236608505 0.9645580053329468 0.0009520734893158078
    1.2.826.0.1.3680043.8.498.84441683122111091482409012424574402113 0.00045798145583830774 0.00030599653837271035 0.0004093224124517292 0.0007170464959926903 0.0009302444523200393 0.00011866145359817892 0.00041287002386525273 0.04521257057785988 0.0795387551188469 0.8929926753044128 0.00028574434691108763
    1.2.826.0.1.3680043.8.498.10661732305675872384260092653550333170 0.00019360070291440934 0.0001808689848985523 0.00019016859005205333 0.00030666784732602537 0.00028864291380159557 0.00013418901653494686 0.00015401560813188553 0.02220592088997364 0.31120049953460693 0.8367258906364441 0.0002006499853450805
    1.2.826.0.1.3680043.8.498.27025835392715046493677806736737840099 0.00014807084517087787 0.00010930801363429055 0.00017618069250602275 0.0005018660449422896 0.00019815759151242673 0.0005495616351254284 3.210474460502155e-05 0.02180890366435051 0.13580986857414246 0.8237568140029907 0.00015912247181404382
    1.2.826.0.1.3680043.8.498.74790192652802306900200928068889992629 0.00046735830255784094 0.0004941518418490887 0.00032701424788683653 0.0005048256134614348 0.0006935353158041835 0.00010145587293663993 0.0008974015945568681 0.16048678755760193 0.31787386536598206 0.48874369263648987 0.00044544111005961895
    1.2.826.0.1.3680043.8.498.11698072861454278558396312252089091971 0.000796831795014441 0.0010244676377624273 0.0009936614660546184 0.001085408846847713 0.0014262499753385782 0.0006396301323547959 0.0020669125951826572 0.10855726152658463 0.4515816271305084 0.6611151099205017 0.0006431610090658069
    1.2.826.0.1.3680043.8.498.97601770015076178946316904738902179352 0.0006756806978955865 0.0008681618492119014 0.0021868529729545116 0.0019180653616786003 0.004006934352219105 0.00026112140039913356 0.004626334644854069 0.00848254095762968 0.04218616336584091 0.9699166417121887 0.0003185153764206916
    1.2.826.0.1.3680043.8.498.10229592074495378792269122860354582003 0.004950277507305145 0.01550365798175335 0.011788852512836456 0.02069396898150444 0.05797669291496277 0.1835639774799347 0.5344756841659546 0.03849613666534424 0.11428558826446533 0.7115912437438965 0.001437113038264215
    1.2.826.0.1.3680043.8.498.76361655016911294118979063429975161811 9.278825746150687e-05 7.180223474279046e-05 0.00011689636448863894 0.0002266597730340436 0.00011131565406685695 0.00015958063886500895 3.2097785151563585e-05 0.005602962337434292 0.1339891403913498 0.9135266542434692 9.575723379384726e-05
    1.2.826.0.1.3680043.8.498.34600759862644813024874422689514312069 0.00019224391144234687 0.00023746844090055674 0.00026170825003646314 0.0005409183213487267 0.0003047569189220667 0.0004771585518028587 0.00015668495325371623 0.04557178169488907 0.02223595418035984 0.9645178914070129 0.00011793708836194128
    1.2.826.0.1.3680043.8.498.26807781986382989614837562433308544735 0.0006692869937978685 0.0006851163343526423 0.001492887269705534 0.0019283776637166739 0.0013925620587542653 0.0016795422416180372 0.0007898972253315151 0.1823972910642624 0.3227742612361908 0.5853739380836487 0.000790299556683749
    1.2.826.0.1.3680043.8.498.60108166612824699125913102300039381281 0.0001714706013444811 0.00017306988593190908 0.00023306564253289253 0.00032000645296648145 0.0004070748982485384 8.783079829299822e-05 0.00014118732360657305 0.008706937544047832 0.06760327517986298 0.9432187080383301 8.951120980782434e-05
    1.2.826.0.1.3680043.8.498.91827444253216321151255779056956825950 0.00011479451495688409 9.526917710900307e-05 0.00012565105862449855 0.00015166864614002407 0.00022430233366321772 3.8663176383124664e-05 0.00010819183808052912 0.004980207420885563 0.08537784218788147 0.9102708697319031 6.45944382995367e-05
    1.2.826.0.1.3680043.8.498.19994217706327185285696681987864209274 0.0003726945724338293 0.0004504780808929354 0.0006406623870134354 0.0010873645078390837 0.0006961693288758397 0.0007876849849708378 0.00022437384177464992 0.11315204948186874 0.5225529670715332 0.25928327441215515 0.00027655003941617906
    1.2.826.0.1.3680043.8.498.54319100373539281704186968648816476620 0.0006607872201129794 0.000918164208997041 0.0007118313806131482 0.0011144940508529544 0.0009223688393831253 0.00030031203641556203 0.00130063621327281 0.23139794170856476 0.4029414653778076 0.565835177898407 0.0007598832598887384
    1.2.826.0.1.3680043.8.498.50243657882711720075676095386772358472 0.0004501459188759327 0.0004987667198292911 0.0013370160013437271 0.001513322931714356 0.0031200251542031765 0.0007757210405543447 0.0015131108229979873 0.0037990331184118986 0.010301744565367699 0.9928326606750488 0.00012989055539947003
    1.2.826.0.1.3680043.8.498.68846781017411638931311677961440479022 0.00011047309817513451 0.000205715507036075 0.00038549528107978404 0.00032077348441816866 0.00010996490891557187 0.0007697946857661009 2.4543453037040308e-05 0.202842116355896 0.11408188194036484 0.7612459063529968 0.00019858599989674985
    1.2.826.0.1.3680043.8.498.35555518848200612223409375598737054059 0.00036392276524566114 0.0004858261381741613 0.0006225139950402081 0.0006154010188765824 0.0010505968239158392 0.0001300086878472939 0.0017701319884508848 0.0481569766998291 0.17702807486057281 0.8594731092453003 0.0002724392688833177
    1.2.826.0.1.3680043.8.498.13351892662108077990674103302163838406 0.00024130172096192837 0.00016651945770718157 0.00021411743364296854 0.0005559165729209781 0.0005682368646375835 0.00010805138299474493 0.00024969043442979455 0.05788801982998848 0.22282500565052032 0.7525228261947632 0.0001794676500139758
    1.2.826.0.1.3680043.8.498.10325517630300142810662518808911525796 0.004201455041766167 0.11296842992305756 0.8964239358901978 0.014132320880889893 0.030467499047517776 0.3312035799026489 0.2954044044017792 0.014812557026743889 0.11594726890325546 0.9743412137031555 0.0022960074711591005
    1.2.826.0.1.3680043.8.498.28165735071889616764011698032438733593 0.00018277877825312316 0.0002552796504460275 0.0004925347166135907 0.00048219607560895383 0.0005282125202938914 0.00015738928050268441 0.0005317021277733147 0.020015541464090347 0.08697080612182617 0.8994911909103394 0.00011391619045753032
    1.2.826.0.1.3680043.8.498.94092043588763882481378710442482783798 0.00010124438267666847 0.000103236292488873 0.0002716975286602974 0.00023937542573548853 0.0003614154411479831 2.1061587176518515e-05 0.00016742537263780832 0.0033653583377599716 0.02431248128414154 0.9757696390151978 4.0645216358825564e-05
    1.2.826.0.1.3680043.8.498.59957346821914131166144398439057715665 0.0002595813712105155 0.0002696089504752308 0.0009261007653549314 0.0007954506436362863 0.000672425958327949 0.00033545977203175426 0.00033994606928899884 0.018338816240429878 0.11496281623840332 0.8971303701400757 0.0001914210879476741
    1.2.826.0.1.3680043.8.498.17936745242808402001517642500844404307 0.0003578334581106901 0.0002501586568541825 0.000501860398799181 0.0005684030475094914 0.0007560962112620473 8.263979543698952e-05 0.0002735427115112543 0.058385707437992096 0.1374296396970749 0.758064329624176 0.00021940006990917027
    1.2.826.0.1.3680043.8.498.37805065416608115052909707470016211258 0.00017026659043040127 0.00017574001685716212 0.0002435102069284767 0.0003205056709703058 0.00024633851717226207 0.0002748992701526731 5.8242789236828685e-05 0.02504984475672245 0.11578740924596786 0.8418071866035461 0.00010744811879703775
    1.2.826.0.1.3680043.8.498.29887708597436304086976680059064967579 0.0006132796406745911 0.000892006210051477 0.0010037661995738745 0.0010684268781915307 0.0017819125205278397 0.0002720155753195286 0.001231849193572998 0.0683157816529274 0.601199746131897 0.39461907744407654 0.00048790135770104825
    1.2.826.0.1.3680043.8.498.77056468251716546485496940193017140565 0.00015639793127775192 0.00013925445091445 0.00017718537128530443 0.0002160329167963937 0.00025911987177096307 0.00012520051677711308 8.453423652099445e-05 0.008625886403024197 0.4598233699798584 0.6627712845802307 0.00015112836263142526
    1.2.826.0.1.3680043.8.498.79775723260155227887598638974637908426 0.0010401675244793296 0.0011597801931202412 0.0012460590805858374 0.002476629102602601 0.002451244043186307 0.002102819737046957 0.0024486917536705732 0.08976216614246368 0.24688251316547394 0.736822783946991 0.002286285627633333
    1.2.826.0.1.3680043.8.498.30704156669304120474477170163420560784 0.00033466011518612504 0.00035292620304971933 0.0005898080999031663 0.0009831591742113233 0.0010189447784796357 0.0008049440803006291 0.00044342418550513685 0.006733456160873175 0.019133443012833595 0.9899879693984985 0.00017801416106522083
    1.2.826.0.1.3680043.8.498.41070286723437661135654064015320246423 0.00022432432160712779 0.00021517502318602055 0.00024523527827113867 0.00041320532909594476 0.0003077606379520148 0.0005949747865088284 9.91441193036735e-05 0.026644673198461533 0.18722189962863922 0.7999275922775269 0.00023626800975762308
    1.2.826.0.1.3680043.8.498.51951975042512326337864946693803370129 0.0004293603706173599 0.0003246427804697305 0.00036019907565787435 0.0010042079957202077 0.0014446451095864177 0.00015248314593918622 0.0007230094633996487 0.6341019868850708 0.24425967037677765 0.15134288370609283 0.0007781434105709195
    1.2.826.0.1.3680043.8.498.62454206133104529608623118729370278459 0.00035998833482153714 0.0004726887564174831 0.0012360841501504183 0.0006152166752144694 0.001153353601694107 0.00024081402807496488 0.0015389915788546205 0.024668226018548012 0.03551396727561951 0.9634296298027039 0.00017969358304981142
    1.2.826.0.1.3680043.8.498.82890201169799142689296370247072067629 0.023330308496952057 0.04634517431259155 0.0298696868121624 0.0720001608133316 0.21163387596607208 0.01564454659819603 0.5773093700408936 0.42405351996421814 0.27022162079811096 0.29921695590019226 0.007628048770129681
    1.2.826.0.1.3680043.8.498.60826117824443071591653788158616702177 0.0005180801381357014 0.0006058494909666479 0.0005242187762632966 0.001010172301903367 0.001630231156013906 0.0001401715271640569 0.0009933923138305545 0.10737905651330948 0.5747788548469543 0.3131047785282135 0.000428729981649667
    1.2.826.0.1.3680043.8.498.90792418951225900067381889707503733054 0.0006569655379280448 0.0008460000390186906 0.0010012524435296655 0.0009703819523565471 0.0015349616296589375 0.00021575791470240802 0.0014692721888422966 0.13796047866344452 0.4542592465877533 0.4068172574043274 0.0005401777452789247
    1.2.826.0.1.3680043.8.498.11951114347133406785068807373675402532 0.0007573800394311547 0.0007129921577870846 0.001053093234077096 0.001999160973355174 0.0028344725724309683 0.0004186405858490616 0.0017345607047900558 0.1279125064611435 0.27476832270622253 0.6244704723358154 0.0005494254874065518
    1.2.826.0.1.3680043.8.498.56771004210097568444319221726993666237 0.0002936375967692584 0.00032192227081395686 0.0006296728388406336 0.001287503051571548 0.00031813402893021703 0.0024962187744677067 0.00013200502144172788 0.005854121409356594 0.06141442805528641 0.968455970287323 0.00020167460024822503
    1.2.826.0.1.3680043.8.498.10190190978079975155456990360480471405 0.00018414700753055513 0.00012891949154436588 0.00020327602396719158 0.0005106778116896749 0.00028725963784381747 0.00021451707289088517 0.00013885385124012828 0.03776174783706665 0.25223851203918457 0.7714664936065674 0.0004570034216158092
    1.2.826.0.1.3680043.8.498.46702601544989984604385029798574992546 0.02530662715435028 0.2522784173488617 0.624625563621521 0.07966529577970505 0.0720314159989357 0.21327313780784607 0.35721713304519653 0.04711991921067238 0.26724329590797424 0.7721966505050659 0.012893597595393658
    1.2.826.0.1.3680043.8.498.10968764799972985089379713418868436235 0.0018347373697906733 0.04522328823804855 0.9615957140922546 0.013807554729282856 0.023117514327168465 0.7050871849060059 0.21089163422584534 0.027226576581597328 0.18385908007621765 0.92107754945755 0.008455080911517143
    1.2.826.0.1.3680043.8.498.14550454935149074829693394668030154824 0.00021962574101053178 0.00032268970971927047 0.0007609128369949758 0.0009198153275065124 0.0005447874427773058 0.0014735639560967684 0.00019061847706325352 0.01505146361887455 0.0492669939994812 0.9568241834640503 0.00012981992040295154
    1.2.826.0.1.3680043.8.498.73823083838079257094024304089371565452 0.0029078929219394922 0.047661881893873215 0.029154688119888306 0.0008328797412104905 0.0054411375895142555 0.0005568675114773214 0.9873852729797363 0.03733009472489357 0.34634929895401 0.9027857780456543 0.0016869741957634687
    1.2.826.0.1.3680043.8.498.75690753054186737758425984977377324904 0.00084538699593395 0.0005839945515617728 0.0009867539629340172 0.0017803736263886094 0.0028654965572059155 0.00037863044417463243 0.0015056068077683449 0.06464964151382446 0.1777743697166443 0.8208084106445312 0.0009179579792544246
    1.2.826.0.1.3680043.8.498.82333756234279729103682290920822180993 0.0007719035493209958 0.0008940811967477202 0.00113963452167809 0.0019155656918883324 0.0025503465440124273 0.0016414399724453688 0.0014512678608298302 0.016348127275705338 0.2353987991809845 0.8392429351806641 0.0006670668954029679
    1.2.826.0.1.3680043.8.498.90774042476467538316995079528098177567 0.005804653279483318 0.20807532966136932 0.47585684061050415 0.0028401832096278667 0.02725255861878395 0.008361567743122578 0.9742473363876343 0.05551648139953613 0.24709884822368622 0.8860896825790405 0.0040339394472539425
    1.2.826.0.1.3680043.8.498.62393517046738038607916990939989277302 0.0005264688516035676 0.00047729857033118606 0.0007505809189751744 0.0017272226978093386 0.0007223736611194909 0.0010688863694667816 0.00029750069370493293 0.026663795113563538 0.1530686914920807 0.8434621095657349 0.0004571960889734328
    1.2.826.0.1.3680043.8.498.39553848674665479382915023768220290036 0.00016961291839834303 0.0001848001847974956 0.00028137332992628217 0.0004049847775604576 0.00018317163630854338 0.0002598650462459773 8.889504533726722e-05 0.10595743358135223 0.3383719027042389 0.6594245433807373 0.0003088336961809546
    1.2.826.0.1.3680043.8.498.48601488966239371638734532301291057268 0.0002848702424671501 0.0002482414129190147 0.0001772824616637081 0.00032723028562031686 0.0005767549737356603 4.3990476115141064e-05 0.0003148879040963948 0.06316296011209488 0.14106979966163635 0.789958119392395 0.0001994734921026975
    1.2.826.0.1.3680043.8.498.12084670322737238602741479521213365347 0.00017972648493014276 0.00011560943676158786 0.00019975137547589839 0.00027708426932804286 0.00021938400459475815 0.0002598055580165237 3.778167592827231e-05 0.038371358066797256 0.14998874068260193 0.820461630821228 0.00015374885697383434
    1.2.826.0.1.3680043.8.498.64539376603857668032391193711035720580 0.00014185225882101804 0.00013615519856102765 0.00016451840929221362 0.0002381829108344391 0.0003663636452984065 3.9347767597064376e-05 0.00030757382046431303 0.002769591985270381 0.044928498566150665 0.9612272381782532 7.304253813344985e-05
    1.2.826.0.1.3680043.8.498.10613148792881739726300999276081478697 0.0002260151377413422 0.0001695770915830508 0.0002457710506860167 0.00039085265598259866 0.000415570946643129 4.860229091718793e-05 0.00024671637220308185 0.026781072840094566 0.13433165848255157 0.8887104988098145 0.00019374131807126105
    1.2.826.0.1.3680043.8.498.66147586810918508314288554904805968552 0.0003231939335819334 0.0002375171461608261 0.0002591668744571507 0.0005041179829277098 0.000703851692378521 5.039605821366422e-05 0.0003434631507843733 0.05460698530077934 0.14336778223514557 0.8297473192214966 0.00022888525563757867
    1.2.826.0.1.3680043.8.498.10319571926600459080892442545233272035 0.0003158064209856093 0.0021343405824154615 0.9970412254333496 0.007412751205265522 0.03846583515405655 0.013286535628139973 0.15137822926044464 0.10233048349618912 0.28967049717903137 0.7956012487411499 0.0011249074013903737
    1.2.826.0.1.3680043.8.498.89439668970362995398345624853877510179 0.00016295678506139666 0.00011695999273797497 0.00021108504734002054 0.0002877462829928845 0.00027455866802483797 0.00012282711395528167 0.0001131043754867278 0.034573618322610855 0.06756927073001862 0.8960191607475281 0.00012820020492654294
    1.2.826.0.1.3680043.8.498.50779316298265057991067506646131257259 0.00020826533727813512 0.00016089851851575077 0.00034892509575001895 0.0004654189688153565 0.0002614585973788053 0.0005125543684698641 4.91774917463772e-05 0.13300135731697083 0.2935197651386261 0.4831567406654358 0.00021833220671396703
    1.2.826.0.1.3680043.8.498.11527980398195160886520827497759857865 0.00034737918758764863 0.005131344310939312 0.38532620668411255 0.0013358229771256447 0.0027715289033949375 0.0005479449173435569 0.024810677394270897 0.125765860080719 0.5983696579933167 0.39764198660850525 0.00016968368436209857
    1.2.826.0.1.3680043.8.498.78492885742760796410190173387396938153 0.0009055567206814885 0.0015395592199638486 0.001702422508969903 0.0023900452069938183 0.0011636944254860282 0.009132633917033672 0.0009703662944957614 0.07537531107664108 0.14184297621250153 0.8658164739608765 0.0009052753448486328
    1.2.826.0.1.3680043.8.498.38510644858851323767372020298505812771 0.0004645914305001497 0.00033326554694212973 0.0003849583736155182 0.0005275377188809216 0.0007428402896039188 7.682423893129453e-05 0.0007701494032517076 0.09079284965991974 0.17100302875041962 0.746973991394043 0.0004592309705913067
    1.2.826.0.1.3680043.8.498.17075487412748945410989525951205627102 0.003349898848682642 0.006568728480488062 0.008749211207032204 0.012040157802402973 0.019931571558117867 0.00768972048535943 0.03375736624002457 0.8003531694412231 0.23384372889995575 0.21967622637748718 0.006000853143632412
    1.2.826.0.1.3680043.8.498.44367672055245570160115335617115063127 0.0003362730494700372 0.00042965300963260233 0.0005554264644160867 0.0008556038956157863 0.00040880218148231506 0.0008577985572628677 0.00017348751134704798 0.025816718116402626 0.07684524357318878 0.9335891604423523 0.0002462748670950532
    1.2.826.0.1.3680043.8.498.71227212182232099213812406684935240460 0.00013195040810387582 0.00015038647688925266 0.00023016674094833434 0.0004434417060110718 0.00012791811604984105 0.000492698687594384 5.8910158259095624e-05 0.016736933961510658 0.039863746613264084 0.9340749979019165 0.00014448563160840422
    1.2.826.0.1.3680043.8.498.69632848158106980173285804727093261497 0.0003444923786446452 0.0003070715465582907 0.000372429087292403 0.00033605843782424927 0.00046711848699487746 0.0002753443841356784 0.0002504181466065347 0.06855644285678864 0.49105367064476013 0.5407813191413879 0.0003917126450687647
    1.2.826.0.1.3680043.8.498.55096210954480128703347403990773632031 0.00034031461109407246 0.0002632838150020689 0.00034963656798936427 0.0005309461848810315 0.0006415644893422723 9.622167999623343e-05 0.0002989652275573462 0.047796256840229034 0.36701035499572754 0.5696159601211548 0.00029066167189739645
    1.2.826.0.1.3680043.8.498.12065567682675277785677395689453549446 0.00021104452025610954 0.00022778350103180856 0.0005470442119985819 0.00076585344504565 0.00023273515398614109 0.0012414315715432167 7.106848352123052e-05 0.012520687654614449 0.07050378620624542 0.9470966458320618 0.00018020550487563014
    1.2.826.0.1.3680043.8.498.46187615184313306911610444515617408153 0.00031200272496789694 0.0003560734330676496 0.00042490550549700856 0.0003941933100577444 0.0006346371374092996 0.00012267657439224422 0.0004109267028979957 0.04617852717638016 0.4549422860145569 0.5755659341812134 0.00029686730704270303
    1.2.826.0.1.3680043.8.498.17243850794708417720718125360425839996 0.0001779439626261592 0.00017585125169716775 0.0004335632547736168 0.0003240292426198721 0.0002654427080415189 0.0007465829257853329 6.455650145653635e-05 0.03997093066573143 0.20516924560070038 0.7331662178039551 0.0001674699888098985
    1.2.826.0.1.3680043.8.498.82396661782979595826465614084499240463 0.00018965477647725493 0.00021053563978057355 0.00021627773821819574 0.00018546718638390303 0.00029755281866528094 0.0001265409227926284 0.0003126453375443816 0.05294985696673393 0.1744081825017929 0.7561729550361633 0.0001619125687284395
    1.2.826.0.1.3680043.8.498.28730569678782992654086148008373817278 0.0003714312915690243 0.00043480758904479444 0.00033734735916368663 0.0007948209531605244 0.0006493224645964801 0.0002597447601146996 0.0005145550239831209 0.137064591050148 0.7629688382148743 0.18986865878105164 0.0002908415626734495
    1.2.826.0.1.3680043.8.498.70075804217582201108596086844923184451 0.0002297681785421446 0.00020389600831549615 0.0002886580186896026 0.0006169937551021576 0.0004824188945349306 0.00015758079825900495 0.00029256087145768106 0.01181627158075571 0.01213456504046917 0.9869721531867981 0.00011811952572315931
    1.2.826.0.1.3680043.8.498.12295251372848486181884083169167274440 0.015525159426033497 0.06057953089475632 0.025068208575248718 0.006186342798173428 0.033971235156059265 0.012057239189743996 0.970829963684082 0.2573780417442322 0.28367477655410767 0.5784634947776794 0.023583024740219116
    1.2.826.0.1.3680043.8.498.10010309624955962953138679469906703941 0.010260696522891521 0.08569599688053131 0.07564462721347809 0.02896813116967678 0.06884397566318512 0.42660433053970337 0.3847621977329254 0.13382717967033386 0.6065464615821838 0.34960848093032837 0.004347119014710188
    1.2.826.0.1.3680043.8.498.84689813417362176829085634837505986153 0.0008886759169399738 0.0014719010796397924 0.003452929202467203 0.0031834959518164396 0.0014684548368677497 0.0043291328474879265 0.0009131862898357213 0.05004218965768814 0.08028941601514816 0.8779758214950562 0.0006923199398443103
    1.2.826.0.1.3680043.8.498.58344366290267771643759877655816303789 0.0002641832106746733 0.0002070632326649502 0.00031980458879843354 0.0003531050751917064 0.0004851372796110809 0.00019277742831036448 0.0002559275599196553 0.03187670186161995 0.10624793916940689 0.9021809697151184 0.00023187832266557962
    1.2.826.0.1.3680043.8.498.95849584123808826828603773047273942431 0.00011014075425919145 9.410194616066292e-05 0.00014966033631935716 0.00024164342903532088 0.0002491090272087604 4.59779221273493e-05 0.0001785705389920622 0.004996863659471273 0.041048452258110046 0.9687159657478333 6.143558130133897e-05
    1.2.826.0.1.3680043.8.498.11353396696113817324811333649144394903 0.0004733479581773281 0.00042388978181406856 0.0006178085459396243 0.0007912972941994667 0.0010444177314639091 0.00029997402452863753 0.0005274940631352365 0.027800410985946655 0.2827485203742981 0.741112232208252 0.0004192029591649771
    1.2.826.0.1.3680043.8.498.10232282696214606948704077350288763587 0.0003766991139855236 0.0003295009955763817 0.00037849732325412333 0.000414988404372707 0.0006897856364957988 0.0001346113858744502 0.0007710831123404205 0.10305992513895035 0.22553014755249023 0.7720807790756226 0.0003900712472386658
    1.2.826.0.1.3680043.8.498.70434657544336396495728920107447996380 0.00020118018437642604 0.00013128024875186384 0.00012871202488895506 0.0003320791001897305 0.0005350449355319142 4.03806843678467e-05 0.00019608302682172507 0.029008781537413597 0.3386733829975128 0.6781088709831238 0.0001682311703916639
    1.2.826.0.1.3680043.8.498.64517199108917180580771368332037509775 0.009993377141654491 0.393926203250885 0.42761343717575073 0.009421790018677711 0.032384831458330154 0.026250217109918594 0.9276223182678223 0.06493896245956421 0.2537926435470581 0.21803660690784454 0.0007214143988676369
    1.2.826.0.1.3680043.8.498.26339481334650307802621950379514844750 0.0003751592303160578 0.00027360074454918504 0.0003419785643927753 0.0008068274473771453 0.0008747914107516408 0.00014693461707793176 0.001056660432368517 0.009074774570763111 0.026430513709783554 0.980667233467102 0.0001922728552017361
    1.2.826.0.1.3680043.8.498.18027151745716924108750586250856268001 0.00018268915300723165 0.00023857394990045577 0.0003738654195331037 0.000501682108733803 0.00032187686883844435 0.00044583011185750365 0.0002753443259280175 0.011160817928612232 0.014565078541636467 0.9846469163894653 0.00011437586363172159
    1.2.826.0.1.3680043.8.498.11413664748939476144243892009161222958 0.0001749943767208606 0.00011054043716285378 0.00012116393918404356 0.0003324804129078984 0.0004731406515929848 4.872593126492575e-05 0.0001036496032611467 0.013607253320515156 0.10338976234197617 0.9011357426643372 0.00012401468120515347
    1.2.826.0.1.3680043.8.498.84017142576703531272122467388781823472 0.0003121337795164436 0.00030919216806069016 0.0004260555433575064 0.0007794953999109566 0.0006095620919950306 0.000653814640827477 0.00020287399820517749 0.050549913197755814 0.5074690580368042 0.5552707314491272 0.00028006546199321747
    1.2.826.0.1.3680043.8.498.72907199719161424511279904527418426959 0.00029205012833699584 0.0002328242699149996 0.0002815320040099323 0.0005702170892618597 0.0005273738061077893 0.00023118648095987737 0.00029299870948307216 0.021448515355587006 0.18502113223075867 0.8229781985282898 0.00025944371009245515
    1.2.826.0.1.3680043.8.498.20964041861506616125966359944162126141 0.0003743640554603189 0.0005206759669817984 0.0009258771315217018 0.0007596192881464958 0.001322989584878087 0.00020057153597008437 0.00345785403624177 0.005979289300739765 0.02044672705233097 0.9854812622070312 0.00014582849689759314
    1.2.826.0.1.3680043.8.498.82725620449957077372373358558024614822 0.000503493589349091 0.0005158622516319156 0.000516655039973557 0.0006965769571252167 0.0011160137364640832 0.00012379635882098228 0.003263410646468401 0.008519137278199196 0.10735411942005157 0.9175578951835632 0.00018580109463073313
    1.2.826.0.1.3680043.8.498.91586215159692585508444379489691033937 0.00396443298086524 0.1107698455452919 0.7895573973655701 0.006677872035652399 0.021889816969633102 0.018948979675769806 0.5603469014167786 0.22220352292060852 0.6317403316497803 0.5843907594680786 0.0010348176583647728
    1.2.826.0.1.3680043.8.498.11141391117533406658882628455103056265 0.00021619044127874076 0.0006935832207091153 0.0010878441389650106 0.00014399959763977677 0.0003882483870256692 6.420365389203653e-05 0.06222217530012131 0.024241596460342407 0.10981253534555435 0.9059537649154663 0.00014881030074320734
    1.2.826.0.1.3680043.8.498.10846473356112018661850199748985445890 0.00038051645969972014 0.0005295957671478391 0.0017441464588046074 0.0009717725915834308 0.0013011243427172303 0.0003546709194779396 0.0011516404338181019 0.005382994655519724 0.04767504706978798 0.9767773747444153 0.00015575371799059212
    1.2.826.0.1.3680043.8.498.90784188752482775936304954320042382888 0.0004719952994491905 0.0013154421467334032 0.001245340215973556 0.0004594552447088063 0.0008182640303857625 0.0002042982232524082 0.0026181661523878574 0.06033950299024582 0.16140763461589813 0.8791788816452026 0.00023977473028935492
    1.2.826.0.1.3680043.8.498.34181600063817542860822914301524494142 0.00026231780066154897 0.0002115234237862751 0.00023224277538247406 0.0004450072592590004 0.0005396626656875014 9.804527508094907e-05 0.00022131137666292489 0.07337265461683273 0.3324414789676666 0.7095236778259277 0.00026795739540830255
    1.2.826.0.1.3680043.8.498.21330473127109732073767190345044683596 0.008207006379961967 0.03630801662802696 0.04597651958465576 0.01500934362411499 0.029644176363945007 0.011026031337678432 0.15134978294372559 0.12076926231384277 0.4293663501739502 0.3823537230491638 0.002603172557428479
    1.2.826.0.1.3680043.8.498.78969857493965913683431382928717500400 0.0004077506309840828 0.00037035817513242364 0.0005901457043364644 0.0008911900222301483 0.0014524112921208143 0.0004755071422550827 0.0008089776965789497 0.011668065562844276 0.14949055016040802 0.8666815757751465 0.0002801819646265358
    1.2.826.0.1.3680043.8.498.73273184230370548783250467688319868269 0.0003082386974710971 0.00017767876852303743 0.00016833546396810561 0.0009468264179304242 0.0005870530148968101 0.0007663029246032238 0.00019307504408061504 0.053632479161024094 0.28235703706741333 0.7509114742279053 0.0002459819079376757
    1.2.826.0.1.3680043.8.498.64041724465083064395206073720403327959 0.00018556810391601175 0.00013998380745761096 0.00017796410247683525 0.00033603323390707374 0.00042303610825911164 3.56532764271833e-05 0.0006752616027370095 0.006952339317649603 0.02893047407269478 0.980758547782898 0.00010869048855965957
    1.2.826.0.1.3680043.8.498.36887403852222905752321775620303137070 0.0003296875802334398 0.00024510911316610873 0.0005453614867292345 0.0005144263268448412 0.0006414668750949204 0.00015841270214878023 0.0003336767549626529 0.03544943779706955 0.15628555417060852 0.8107715845108032 0.0003347348829265684
    1.2.826.0.1.3680043.8.498.82693260136099989588017561559111858722 0.00909805204719305 0.21113626658916473 0.7554415464401245 0.013790217228233814 0.07446835935115814 0.015719342976808548 0.7858718633651733 0.04856916889548302 0.12078025192022324 0.9143268465995789 0.0043113576248288155
    1.2.826.0.1.3680043.8.498.13218215308111992847242429285756418280 0.0006870765937492251 0.000726802391000092 0.000757614616304636 0.0016479470068588853 0.0020454884506762028 0.0012224595993757248 0.0020877921488136053 0.07278728485107422 0.31102707982063293 0.6939045786857605 0.001050857943482697
    1.2.826.0.1.3680043.8.498.12650160965526364394104668457962192313 0.0023746590595692396 0.008118617348372936 0.025081997737288475 0.004805731121450663 0.011119893752038479 0.004912084434181452 0.02508242428302765 0.17245563864707947 0.4978862404823303 0.5111161470413208 0.0028359845746308565
    1.2.826.0.1.3680043.8.498.37218724964640734664828400662942078640 0.0014360889326781034 0.014356541447341442 0.9784412384033203 0.03586266562342644 0.016953567042946815 0.8480933904647827 0.04944200441241264 0.05532040074467659 0.11663813889026642 0.9083825349807739 0.9022971987724304
    1.2.826.0.1.3680043.8.498.77189908478164777516141528978104064668 0.0001155412319349125 0.00035682940506376326 0.00037990332930348814 0.00010778619616758078 0.00023550000332761556 4.112923488719389e-05 0.01833205670118332 0.008260775357484818 0.09017730504274368 0.9420830011367798 0.00010986983397742733
    1.2.826.0.1.3680043.8.498.14553850933488553633401957823525486937 0.0001975100749405101 0.0004928361740894616 0.0023442984092980623 0.0017837707418948412 0.00033303716918453574 0.025532502681016922 9.492647222941741e-05 0.013308165594935417 0.11966650187969208 0.9638126492500305 0.0003597307368181646
    1.2.826.0.1.3680043.8.498.16752992057320770445654179674611379672 0.0012961573665961623 0.017673073336482048 0.9825533032417297 0.017894938588142395 0.024982977658510208 0.7621093988418579 0.21736960113048553 0.060131050646305084 0.3375934362411499 0.807919979095459 0.00225278502330184
    1.2.826.0.1.3680043.8.498.88272927452925045363585462409136645752 0.0001406971423421055 0.00016620580572634935 0.000211482954910025 0.00022341606381814927 0.000303635373711586 4.486302350414917e-05 0.00042775104520842433 0.04933636635541916 0.07821909338235855 0.8354998826980591 0.00014175724936649203
    1.2.826.0.1.3680043.8.498.21657528498533448287611964229947147757 0.0003116619191132486 0.00044838516623713076 0.0007436509476974607 0.0005853184266015887 0.0007387580117210746 0.00022474757861346006 0.0011397519847378135 0.022257694974541664 0.03702555224299431 0.9619115591049194 0.00015155240544117987
    1.2.826.0.1.3680043.8.498.64570328459950757521020264765075854724 0.015411403961479664 0.03907757252454758 0.0192592591047287 0.044481925666332245 0.13527348637580872 0.14174549281597137 0.6725805997848511 0.04846778139472008 0.4268823266029358 0.6069234013557434 0.006823704577982426
    1.2.826.0.1.3680043.8.498.71889106472121699476094157673169777329 0.01952836848795414 0.35063546895980835 0.5292730927467346 0.011462805792689323 0.04117584228515625 0.005083112511783838 0.9423497915267944 0.14826075732707977 0.31279972195625305 0.31853577494621277 0.003359799040481448
    1.2.826.0.1.3680043.8.498.12872463320433860543776782480340851588 0.005166675429791212 0.08777086436748505 0.8119301795959473 0.03869874030351639 0.03294432908296585 0.25575894117355347 0.05484706908464432 0.09962821006774902 0.13989011943340302 0.3214559555053711 0.001725466689094901
    1.2.826.0.1.3680043.8.498.67199309751789293158705808577329028456 0.00027484906604513526 0.0002721225027926266 0.0003274546470493078 0.0007774779805913568 0.00029474933398887515 0.0008189656073227525 7.667835598113015e-05 0.01026869285851717 0.10439733415842056 0.8890186548233032 0.00019694138609338552
    1.2.826.0.1.3680043.8.498.13243371141927452748398447015170504609 0.0004598554805852473 0.004374929238110781 0.9840733408927917 0.012699919752776623 0.0367756187915802 0.09865881502628326 0.0386454239487648 0.028609570115804672 0.05707789212465286 0.9631701707839966 0.0005252172122709453
    1.2.826.0.1.3680043.8.498.11844601754733530103331779161431720656 0.0023550516925752163 0.0031156917102634907 0.0027109619695693254 0.004176344256848097 0.009582285769283772 0.0016904376680031419 0.03859667479991913 0.3076458275318146 0.28593072295188904 0.48248425126075745 0.002786219585686922
    1.2.826.0.1.3680043.8.498.86342927734935518417741275250209986694 0.003301581833511591 0.005932381842285395 0.0031668252777308226 0.005155122838914394 0.0038148562889546156 0.001708362833596766 0.0032493160106241703 0.2820373475551605 0.41923603415489197 0.43773096799850464 0.0020072285551577806
    1.2.826.0.1.3680043.8.498.11625432470727399889384425158823881151 0.0020786323584616184 0.0029823672957718372 0.012590417638421059 0.021751288324594498 0.010528063401579857 0.11150839179754257 0.012669580057263374 0.32176586985588074 0.2996932864189148 0.33248886466026306 0.0021957179997116327
    1.2.826.0.1.3680043.8.498.57550237372759148067668752040449841165 0.00043495860882103443 0.00033929006895050406 0.0003436892875470221 0.0007073971210047603 0.00114009331446141 8.033720951061696e-05 0.0007189693860709667 0.023800257593393326 0.23077502846717834 0.7140220999717712 0.00030958864954300225
    1.2.826.0.1.3680043.8.498.92623479584387681785077714554863927586 0.00038463104283437133 0.0003340906114317477 0.0002995770191773772 0.0007337951683439314 0.0008630825905129313 4.9112877604784444e-05 0.000571359705645591 0.14518417418003082 0.24211148917675018 0.5595813989639282 0.0003160178894177079
    1.2.826.0.1.3680043.8.498.68174737990891116989169328263311094808 0.0002172726672142744 0.00013512515579350293 0.0001632486964808777 0.0006439500139094889 0.00044818356400355697 0.0002348489360883832 0.0002145799808204174 0.13620691001415253 0.5740230083465576 0.2512977123260498 0.00023513699125032872
    1.2.826.0.1.3680043.8.498.41237366204041029335402116074883467728 0.00013163534458726645 0.00018893784726969898 0.0005817886558361351 0.0003557783202268183 0.0004509387072175741 0.00012398003309499472 0.0002536234096623957 0.0027683291118592024 0.005776846315711737 0.9962093234062195 3.357459354447201e-05
    1.2.826.0.1.3680043.8.498.37405848864972973706418468370719177384 0.00019393244292587042 0.00018253290909342468 0.0006387882749550045 0.0003706657444126904 0.0005220845341682434 0.00011812713637482375 0.0005736239836551249 0.008153917267918587 0.0980202704668045 0.9417513012886047 0.0001234155206475407
    1.2.826.0.1.3680043.8.498.54834873570665446787779724254659658333 0.00026648392667993903 0.00028801578446291387 0.00029679431463591754 0.0004907360416837037 0.0005673960549756885 0.0001681566791376099 0.00027514976682141423 0.004904123954474926 0.02669026516377926 0.9677168130874634 9.58120435825549e-05
    1.2.826.0.1.3680043.8.498.68464287981461238367263233434570707723 0.0025599654763936996 0.006274516228586435 0.00592197198420763 0.013393513858318329 0.010804444551467896 0.05656604841351509 0.005458138883113861 0.014683127403259277 0.062321435660123825 0.9729248285293579 0.0016308050835505128
    1.2.826.0.1.3680043.8.498.88003521579466025915322368114618612480 0.00038726284401491284 0.0005866962019354105 0.0005616549751721323 0.0005773136508651078 0.0006370727787725627 0.0005477084778249264 0.00039170339005067945 0.09993667900562286 0.7442132830619812 0.21366500854492188 0.00027902305009774864
    1.2.826.0.1.3680043.8.498.34648513797328987609844075616061995104 0.0001490189169999212 0.00021200736227910966 0.00020454062905628234 0.00023461382079403847 0.00021549744997173548 8.100450213532895e-05 0.0002248236269224435 0.02200092375278473 0.11124248802661896 0.9099469184875488 0.00011574124073376879
    1.2.826.0.1.3680043.8.498.89987712633323246633448330262927407632 0.0073385341092944145 0.13413235545158386 0.8215524554252625 0.010620102286338806 0.03298496454954147 0.1637485921382904 0.8204205632209778 0.16180913150310516 0.45201587677001953 0.5326639413833618 0.019226545467972755
    1.2.826.0.1.3680043.8.498.96544042594869194251213879427996323241 0.022062625735998154 0.3127231001853943 0.3454362452030182 0.02965962328016758 0.04777256399393082 0.6106257438659668 0.24634794890880585 0.04168470948934555 0.2573814392089844 0.7866206169128418 0.003150125965476036
    1.2.826.0.1.3680043.8.498.12842948959011744055722353356446523201 0.0033285554964095354 0.12489348649978638 0.7904908061027527 0.004240117035806179 0.02180083654820919 0.13846923410892487 0.7780284285545349 0.03089863993227482 0.35585135221481323 0.8878802061080933 0.0028467904776334763
    1.2.826.0.1.3680043.8.498.66874587913553406037034486301021202916 0.003393166931346059 0.04170280694961548 0.9110971689224243 0.053001951426267624 0.06836385279893875 0.3111678957939148 0.06458105146884918 0.16457703709602356 0.2185564488172531 0.5890910029411316 0.006212339736521244
    1.2.826.0.1.3680043.8.498.12213725578342050846978199683295024017 0.00042977105476893485 0.0004130160959903151 0.0009575841831974685 0.0013296845136210322 0.0007149808225221932 0.0011990966740995646 8.018173684831709e-05 0.08489876985549927 0.14238862693309784 0.7475060224533081 0.0005567324697040021
    1.2.826.0.1.3680043.8.498.66386328414236324022505088613183976882 0.00012035898544127122 7.673742948099971e-05 9.438210690859705e-05 0.00026840149075724185 0.00031066962401382625 2.9775022994726896e-05 0.00013529980788007379 0.004890800919383764 0.02317434921860695 0.9812353849411011 5.6556724302936345e-05
    1.2.826.0.1.3680043.8.498.61196743099682179088787839867261298081 0.00048590946244075894 0.000613681972026825 0.0012281707022339106 0.0007040222990326583 0.0008065670845098794 0.0005598193965852261 0.0008232725085690618 0.05226133018732071 0.2319181263446808 0.7495359182357788 0.0005391783779487014
    1.2.826.0.1.3680043.8.498.32630136211002537965246453713562229954 0.0008543704752810299 0.013839724473655224 0.9427072405815125 0.03293108195066452 0.016351744532585144 0.7624279260635376 0.016357479616999626 0.06589304655790329 0.2929422855377197 0.6212141513824463 0.002165436279028654
    1.2.826.0.1.3680043.8.498.14239604655834977861340352385707280437 0.0003598346374928951 0.0003481967723928392 0.0004041677457280457 0.0009193384321406484 0.0003865151957143098 0.0013340997975319624 9.905791375786066e-05 0.05827131122350693 0.49029508233070374 0.581504225730896 0.0004345891939010471
    1.2.826.0.1.3680043.8.498.14756875919398505202095788012815608230 0.00017096086230594665 0.00018713207100518048 0.00036946337786503136 0.00037936793523840606 0.0006733947666361928 4.880737833445892e-05 0.0011313187424093485 0.0035225048195570707 0.013342229649424553 0.9873455166816711 7.379318412858993e-05
    1.2.826.0.1.3680043.8.498.99953100661957840394529036946041126577 0.0002516256063245237 0.0003150063566863537 0.0004621279367711395 0.00043205273686908185 0.0006210490828379989 0.00030548530048690736 0.0004541433008853346 0.02208009362220764 0.021178673952817917 0.9776485562324524 9.002321166917682e-05
    1.2.826.0.1.3680043.8.498.29633680037696771216000565473468664427 0.013502279296517372 0.270160436630249 0.5325081944465637 0.031056810170412064 0.0925009697675705 0.018932942301034927 0.8267213702201843 0.05616576224565506 0.18056897819042206 0.24110659956932068 0.0010383722838014364
    1.2.826.0.1.3680043.8.498.39234518293419684991497654272875640878 0.0003500528691802174 0.00046873418614268303 0.0008712098933756351 0.0009536021389067173 0.0016656722873449326 0.00039913359796628356 0.0025660137180238962 0.0033413469791412354 0.011798624880611897 0.9900861978530884 0.00010921485954895616
    1.2.826.0.1.3680043.8.498.63928892970603995119025045694072130119 0.0001964358816621825 0.00024026904429774731 0.00015597481979057193 0.00012021756265312433 0.00017732151900418103 3.787255263887346e-05 0.0008201224845834076 0.11047931760549545 0.2669982314109802 0.6109477877616882 0.00016600567323621362
    1.2.826.0.1.3680043.8.498.83481235437156307225495206592037263085 0.0002011497999774292 0.0002275750448461622 0.0002541729772929102 0.0003355242370162159 0.0006010743672959507 3.5630542697617784e-05 0.0006157051539048553 0.005008058622479439 0.02906264364719391 0.9786931872367859 8.848817378748208e-05
    1.2.826.0.1.3680043.8.498.75977754467126616314965852106543428241 0.0004632334166672081 0.0003330113540869206 0.00048302338109351695 0.0007120377849787474 0.0012856838293373585 9.031225636135787e-05 0.0005335574387572706 0.034447237849235535 0.16959454119205475 0.8322808146476746 0.00034060096368193626
    1.2.826.0.1.3680043.8.498.42729667525642506522192158842361701251 0.0001247392501682043 0.00016397080617025495 0.0002925993176177144 0.0005221296451054513 0.00012434154632501304 0.0009853492956608534 1.3833565390086733e-05 0.07201722264289856 0.49165257811546326 0.4917314946651459 0.00019658205565065145
    1.2.826.0.1.3680043.8.498.12884442978895288817672471821728511643 0.0007030649576336145 0.0012649078853428364 0.001533726928755641 0.0016233520582318306 0.001503205974586308 0.0009864381281659007 0.00234032841399312 0.2979656755924225 0.7798322439193726 0.4204340875148773 0.001368437777273357
    1.2.826.0.1.3680043.8.498.44412545961029440914693186715671996789 0.0003565936931408942 0.00035083634429611266 0.00027321733068674803 0.00042374030454084277 0.0005900341202504933 3.3417047234252095e-05 0.000781694077886641 0.09545184671878815 0.15548591315746307 0.7707737684249878 0.0002557826810516417
    1.2.826.0.1.3680043.8.498.32231067850653303065069216762641299547 0.00011724365322152153 0.00011509501200634986 0.00011496171646285802 0.00027730109286494553 7.729428034508601e-05 0.00029090704629197717 2.265619332320057e-05 0.037197552621364594 0.15870395302772522 0.8676161766052246 0.0001372185506625101
    1.2.826.0.1.3680043.8.498.62089690772728146512459864121914521640 0.0045563289895653725 0.07123833894729614 0.892632782459259 0.01821097359061241 0.09362521022558212 0.04949592798948288 0.7431680560112 0.058868538588285446 0.14936435222625732 0.8766727447509766 0.0019825648050755262
    1.2.826.0.1.3680043.8.498.10492652458409842730570317435835616427 0.00013678352115675807 9.327138832304627e-05 0.0001266527542611584 0.00022343809541780502 0.00021268764976412058 3.808135443250649e-05 0.00010815238056238741 0.01335050631314516 0.16409265995025635 0.8618391156196594 9.306594438385218e-05
    1.2.826.0.1.3680043.8.498.73874946844223661429624921635159197487 0.0034958566538989544 0.07444650679826736 0.935940146446228 0.013591164723038673 0.04531726986169815 0.4867238402366638 0.4793550372123718 0.2080398052930832 0.5064093470573425 0.37159353494644165 0.0020392481237649918
    1.2.826.0.1.3680043.8.498.12876325948771850978777255859682646282 0.000213309918763116 0.0001570360327605158 0.00017839259817264974 0.00048127886839210987 0.00018473216914571822 0.000589703384321183 3.8861457142047584e-05 0.06321759521961212 0.18810956180095673 0.7732182741165161 0.00022316335525829345
    1.2.826.0.1.3680043.8.498.22682027842444672640581864263738612714 0.00030198931926861405 0.0003791885101236403 0.0011867649154737592 0.0007422114140354097 0.0009881798177957535 0.00019617212819866836 0.000897867139428854 0.007173140533268452 0.01782076247036457 0.9860080480575562 0.00013684833538718522
    1.2.826.0.1.3680043.8.498.28137384550175797312559996816053547536 0.0002916261728387326 0.0002804446849040687 0.0005352512234821916 0.0006918537546880543 0.00045437278458848596 0.00036197956069372594 0.00016327062621712685 0.07522433251142502 0.3162214159965515 0.7309809923171997 0.000287738221231848
    1.2.826.0.1.3680043.8.498.10527363279199575150435494778865283181 0.0003062196774408221 0.00032112555345520377 0.0002769379352685064 0.0004873545840382576 0.0005144741735421121 6.15497338003479e-05 0.0003408330085221678 0.039826780557632446 0.2551228106021881 0.7453566193580627 0.0002497415989637375
    1.2.826.0.1.3680043.8.498.36880932798875050896718815784010791242 0.00020365288946777582 0.00026033175527118146 0.0008224640041589737 0.0008864393457770348 0.0005986933829262853 0.001434719073586166 0.00013623593258671463 0.016641441732645035 0.046684861183166504 0.9516490697860718 0.00022800348233431578
    1.2.826.0.1.3680043.8.498.48839067364559711824957233775600787065 0.00045900960685685277 0.0004673448274843395 0.0007450515404343605 0.0010194749338552356 0.0015041760634630919 0.00036516497493721545 0.0010292046936228871 0.036520205438137054 0.32208552956581116 0.8029161691665649 0.00044890493154525757
    1.2.826.0.1.3680043.8.498.46282816508400519133316359560018011212 0.00026137183886021376 0.00035737783764488995 0.0003125016519334167 0.00032580248080193996 0.00046910345554351807 7.745951734250411e-05 0.0006737734656780958 0.012278065085411072 0.05053108185529709 0.9568523168563843 0.00016596876957919449
    1.2.826.0.1.3680043.8.498.67868057499935623936205754094042621679 0.00041185924783349037 0.00032874051248654723 0.0006186921382322907 0.0007881209021434188 0.001095661660656333 9.973370470106602e-05 0.0008642268367111683 0.011228363029658794 0.05675472691655159 0.9560701251029968 0.0002342210354981944
    1.2.826.0.1.3680043.8.498.52628532413894126935367184842237344532 0.0006473319372162223 0.0005617045098915696 0.0005453880876302719 0.0012534343404695392 0.002034651581197977 7.57522793719545e-05 0.0012110434472560883 0.13171713054180145 0.10262201726436615 0.7809189558029175 0.0004507505218498409
    1.2.826.0.1.3680043.8.498.68234285323638582284562559790499753064 0.00028702974668703973 0.00039304429083131254 0.0006179221672937274 0.0006054938421584666 0.0006651654839515686 0.0006271504098549485 0.00039502332219853997 0.0062659382820129395 0.06746277213096619 0.9626514315605164 0.00015418480325024575
    1.2.826.0.1.3680043.8.498.43915227767625003415995762539236191733 0.00028318638214841485 0.0001898734481073916 0.00018725957488641143 0.0004196249064989388 0.0006558969616889954 4.9244321417063475e-05 0.00026381798670627177 0.009096456691622734 0.05443857982754707 0.9541522264480591 0.0001622936106286943
    1.2.826.0.1.3680043.8.498.11752279420691816846431710011131784367 0.0006135973962955177 0.0007539073121733963 0.0009769011521711946 0.0018966000061482191 0.0014883900294080377 0.002206681063398719 0.0016762192826718092 0.0798802301287651 0.385820209980011 0.5420550107955933 0.0008253614651039243
    1.2.826.0.1.3680043.8.498.70358693073823551995982756683997986715 0.0003111069672740996 0.00027412973577156663 0.0004833682323805988 0.0005630934028886259 0.0006625772221013904 0.00023361136845778674 0.00021474207460414618 0.026354264467954636 0.5581797361373901 0.43527936935424805 0.0003017176641151309
    1.2.826.0.1.3680043.8.498.48837484920462678394964323964160110480 0.00026425503892824054 0.0002973135269712657 0.0005422444664873183 0.0003861216246150434 0.0006680638762190938 0.000201130606001243 0.000572419143281877 0.005194776691496372 0.12552447617053986 0.9188106656074524 0.00013734507956542075
    1.2.826.0.1.3680043.8.498.68193561592183186210369449775746829476 0.0001737104175845161 0.0001161656909971498 0.0003134750877507031 0.0003696753119584173 0.0005019829259254038 6.68271750328131e-05 0.0002678215969353914 0.006029029842466116 0.017580663785338402 0.9771653413772583 7.28270533727482e-05
    1.2.826.0.1.3680043.8.498.73693859353165788767157180688802932065 0.00046373059740290046 0.0004788403457496315 0.0006467729690484703 0.0005689983954653144 0.0011485508875921369 8.56619153637439e-05 0.0017505341675132513 0.05798622965812683 0.05342794209718704 0.9152758717536926 0.0002693888091016561
    1.2.826.0.1.3680043.8.498.92173606744172940732510635573699967063 0.008383365347981453 0.1925620585680008 0.6531881093978882 0.03298361226916313 0.06328792870044708 0.23077988624572754 0.5988685488700867 0.04880044609308243 0.17159608006477356 0.15636178851127625 0.000678607146255672
    1.2.826.0.1.3680043.8.498.36159839341040891432565004322966601622 0.00013625313295051455 0.00013685898738913238 0.0002828449651133269 0.0004773017135448754 0.00028495609876699746 0.000599109276663512 7.061185169732198e-05 0.0074496790766716 0.011908397078514099 0.9876841306686401 8.403990796068683e-05
    1.2.826.0.1.3680043.8.498.87771657255799946120718606655251390414 0.00024631331325508654 0.00023471933673135936 0.00029191700741648674 0.0002960575802717358 0.0005976896500214934 2.9772543712169863e-05 0.0017679792363196611 0.02972254529595375 0.07571258395910263 0.918537437915802 0.0001644347357796505
    1.2.826.0.1.3680043.8.498.93689020606748467588921740907979120782 9.724339906824753e-05 6.489006045740098e-05 7.974104664754122e-05 0.00020172660879325122 0.0002456246002111584 1.5666675608372316e-05 0.00012241250078659505 0.005674232728779316 0.048215411603450775 0.9667451977729797 5.53815443709027e-05
    1.2.826.0.1.3680043.8.498.64104666850392204554531607007534216400 0.0008958961116150022 0.0008105504093691707 0.0008317583124153316 0.002269609598442912 0.0022110287100076675 0.0021682693623006344 0.001573376590386033 0.06868930160999298 0.2739926278591156 0.8616325259208679 0.001079985755495727
    1.2.826.0.1.3680043.8.498.52733860573963704856451234980161918880 0.0034039325546473265 0.011885879561305046 0.028718184679746628 0.026535939425230026 0.014244923368096352 0.3625282347202301 0.026144707575440407 0.06423060595989227 0.7327947616577148 0.6276722550392151 0.003448259783908725
    1.2.826.0.1.3680043.8.498.10594744233827098433841662697776105302 0.0004677979741245508 0.0005251584807410836 0.0006124676438048482 0.0005932610365562141 0.0011738573666661978 0.00014780864876229316 0.0006980031030252576 0.034103039652109146 0.21031589806079865 0.7485695481300354 0.0002914157521445304
    1.2.826.0.1.3680043.8.498.10636664257597998435632911587280707711 0.0002394805196672678 0.00039813751936890185 0.0014864620752632618 0.00045520803541876376 0.0008516749367117882 8.741065539652482e-05 0.0012297015637159348 0.018014714121818542 0.08035162091255188 0.9155623316764832 0.00016503586084581912
    1.2.826.0.1.3680043.8.498.90689533771468297929705451653406448235 0.00018009432824328542 0.00022835994604974985 0.0005150747601874173 0.0007919853669591248 0.0001275883405469358 0.0011408786522224545 2.6508312657824717e-05 0.025990495458245277 0.12565398216247559 0.8837777972221375 0.0003011134103871882
    1.2.826.0.1.3680043.8.498.97630790745485697082270454530573258059 0.0002494559739716351 0.0002268235693918541 0.00034679786767810583 0.0003967595403082669 0.0006681784288957715 4.432939022080973e-05 0.0006709471344947815 0.021404597908258438 0.0515667200088501 0.9399834871292114 0.00013059002230875194
    1.2.826.0.1.3680043.8.498.19224315651118283300317375880809516513 0.00015667527623008937 0.00018579135939944535 0.00024359082453884184 0.00026399907073937356 0.0002526010212022811 0.00015059746510814875 0.0005466726142913103 0.020009521394968033 0.2628437280654907 0.7374931573867798 0.00016123836394399405
    1.2.826.0.1.3680043.8.498.58482873995000852761047055900721578978 0.00036995092523284256 0.0002917793462984264 0.0003809723420999944 0.001169092720374465 0.0020006976556032896 0.00018331254250369966 0.0010731664951890707 0.009890931658446789 0.03924048691987991 0.9507948160171509 0.00033293015439994633
    1.2.826.0.1.3680043.8.498.10915781351962716430066552081523921803 0.0005645454511977732 0.0005872968467883766 0.002236458472907543 0.0024038131814450026 0.001571526750922203 0.0024671766441315413 0.0008488980238325894 0.024638738483190536 0.08484233915805817 0.9300786852836609 0.0006383420550264418
    1.2.826.0.1.3680043.8.498.87556925509777281445215554879566646097 0.0003199359925929457 0.00024750936427153647 0.0002979557611979544 0.0005984812160022557 0.0007070645806379616 0.00018835338414646685 0.00040619075298309326 0.19497732818126678 0.5582917332649231 0.1391182243824005 0.0002019803214352578
    1.2.826.0.1.3680043.8.498.58776256279034308700400885573489095779 0.00026770494878292084 0.0001417024905094877 0.0001570490130688995 0.0004364381020423025 0.0005626591737382114 5.2370498451637104e-05 0.00022678510867990553 0.041013844311237335 0.10303927958011627 0.8609564900398254 0.0001743907341733575
    1.2.826.0.1.3680043.8.498.13006853594871827648583249081794769313 0.001476315432228148 0.0010512364096939564 0.0017387382686138153 0.008724840357899666 0.011249944567680359 0.013189742341637611 0.014136460609734058 0.015446281060576439 0.02808249555528164 0.9813235402107239 0.0006478000432252884
    1.2.826.0.1.3680043.8.498.98443240189774068283396805594806964426 0.00026867305859923363 0.0003178485785610974 0.0009254369651898742 0.0010011205449700356 0.0005310744745656848 0.0014230140950530767 0.00011839951912406832 0.025950808078050613 0.06384152919054031 0.9533804059028625 0.0002508741454221308
    1.2.826.0.1.3680043.8.498.34943313486855584289706314665734415531 0.00021940127771813422 0.00016815579147078097 0.00021548278164118528 0.0003828132466878742 0.0005066737649030983 7.9110570368357e-05 0.0002938879479188472 0.0066991508938372135 0.019933069124817848 0.9850403070449829 8.594313112553209e-05
    1.2.826.0.1.3680043.8.498.50505733340133269326609695077985108100 0.0001671149511821568 0.00013228709576651454 0.00023532644263468683 0.00047409674152731895 0.0002907938323915005 0.00023095632786862552 0.00010022158676292747 0.0166078619658947 0.08003336191177368 0.9131510853767395 0.00011582647130126134
    1.2.826.0.1.3680043.8.498.46655995260893148939952623925515524527 0.0014278802555054426 0.042917560786008835 0.8563507795333862 0.023641686886548996 0.004676120821386576 0.6845412254333496 0.002842396730557084 0.05190613865852356 0.2724141478538513 0.5696694254875183 0.0007989293080754578
    1.2.826.0.1.3680043.8.498.13140504723372678133368662796511853034 0.00019737720140255988 0.00011020481906598434 0.00020553520880639553 0.00038028074777685106 0.00044385268120095134 8.202734170481563e-05 0.00013723314623348415 0.01861586794257164 0.08640016615390778 0.8867725133895874 0.00013174337800592184
    1.2.826.0.1.3680043.8.498.31046661401052304401410082083474079501 6.567809759872034e-05 3.9756101614329964e-05 8.521120616933331e-05 0.0001325129996985197 0.00014031825412530452 4.320799052948132e-05 5.697923916159198e-05 0.0020719007588922977 0.034300364553928375 0.9720104932785034 6.038738138158806e-05
    1.2.826.0.1.3680043.8.498.54067345672991169571075838097610441619 8.23886293801479e-05 0.004295362159609795 0.9963765144348145 0.00938357599079609 0.004291033837944269 0.9152622222900391 0.012090636417269707 0.013019472360610962 0.22439396381378174 0.9847174882888794 0.0007293232483789325
    1.2.826.0.1.3680043.8.498.75067079222368809279177135868967570340 0.0008420964004471898 0.0010131837334483862 0.0011868737637996674 0.0017164654564112425 0.0021874960511922836 0.002193282824009657 0.005083842668682337 0.06475184112787247 0.11421491205692291 0.8854259252548218 0.0011655241250991821
    1.2.826.0.1.3680043.8.498.10196266801998495219169721485502599801 0.00014395045582205057 0.0002882284461520612 0.00023320296895690262 0.00015995142166502774 0.00020716611470561475 8.553676161682233e-05 0.0019193694461137056 0.032014138996601105 0.5613085627555847 0.5779436826705933
    1.2.826.0.1.3680043.8.498.44670963524987003174335718340626629154 0.0001835732109611854 0.00016933452570810914 0.0003917211142834276 0.0002582983288448304 0.0002878429659176618 6.061094973119907e-05 0.00017672190733719617 0.017597749829292297 0.11361144483089447 0.9055310487747192 0.00010020280024036765
    1.2.826.0.1.3680043.8.498.88414167872710718471043234891096525236 0.00048380406224168837 0.0008830864680930972 0.0005296441959217191 0.0007531977025792003 0.001238824101164937 0.00010911298159044236 0.01085258461534977 0.01634777896106243 0.0721290186047554 0.9502404928207397 0.00046233428292907774
    1.2.826.0.1.3680043.8.498.13197905387107574382053820922669142139 0.0001584504498168826 0.0001820936449803412 0.0002638883306644857 0.00030219307518564165 0.00034181925002485514 0.00013987859711050987 0.00011023035040125251 0.002821092028170824 0.06753688305616379 0.9461313486099243 7.337618444580585e-05
    1.2.826.0.1.3680043.8.498.11050259276688495646169099122496947615 0.00030748581048101187 0.0004616544465534389 0.00039290543645620346 0.00031068851239979267 0.0004661305865738541 0.00016934823361225426 0.0003330841427668929 0.10364489257335663 0.42448896169662476 0.4654621183872223 0.0002518013643566519
    1.2.826.0.1.3680043.8.498.63837269660313616136388922942769213057 0.0003497219004202634 0.0004157302901148796 0.0006486277561634779 0.0017947822343558073 0.0017397605115547776 0.002106866566464305 0.0012253466993570328 0.00456392765045166 0.030658340081572533 0.9856780767440796 0.00020818086341023445
    1.2.826.0.1.3680043.8.498.57672374939125385123981103273055917430 0.0005610189400613308 0.000519031600560993 0.0006661805091425776 0.0014937145169824362 0.0014774363953620195 0.0009986099321395159 0.00044269944191910326 0.24080458283424377 0.38249969482421875 0.43179449439048767 0.0006262139650061727
    1.2.826.0.1.3680043.8.498.72728315516606057197344942999084826767 0.00011610011279117316 0.00010376120917499065 0.00025644374545663595 0.00022969013662077487 0.000297015649266541 1.3882777238904964e-05 0.002047376474365592 0.014077389612793922 0.18192030489444733 0.8155142664909363 8.973821968538687e-05
    1.2.826.0.1.3680043.8.498.10642806183799202345029782260115721683 0.00035944502451457083 0.000256057275692001 0.00027622972265817225 0.0005715353763662279 0.0006782930577173829 9.479728032601997e-05 0.00042869156459346414 0.017680644989013672 0.08297315239906311 0.905744731426239 0.00019993403111584485
    1.2.826.0.1.3680043.8.498.11149704788569285908047177496281353947 0.00012840898125432432 0.00013056406169198453 0.00017511690384708345 0.00041223689913749695 0.00020653971296269447 0.00023527059238404036 9.47021326282993e-05 0.010774597525596619 0.016469037160277367 0.9815565943717957 0.00013375862909015268
    1.2.826.0.1.3680043.8.498.78974943132338074909947491889079902021 0.0005700183100998402 0.0009856328833848238 0.0015551139367744327 0.0010401811450719833 0.0021530266385525465 0.0004097357450518757 0.01136179268360138 0.019625496119260788 0.09009610116481781 0.91314697265625 0.0003452124074101448
    1.2.826.0.1.3680043.8.498.34604939628135950701918229856940562213 0.00026658509159460664 0.00020738955936394632 0.00025725498562678695 0.0005583206657320261 0.0007451648125424981 5.2495110139716417e-05 0.00042923266300931573 0.007733919657766819 0.017849508672952652 0.9846385717391968 0.00011532778444234282
    1.2.826.0.1.3680043.8.498.14315557610017409080231254429859085271 0.0009085677447728813 0.0008125033928081393 0.0009905626066029072 0.00363423814997077 0.0028447986114770174 0.005400580354034901 0.0019443718483671546 0.04699581861495972 0.14801910519599915 0.8527052998542786 0.0011882414110004902
    1.2.826.0.1.3680043.8.498.38287339893320546711672113648644984798 0.010034590028226376 0.11347047984600067 0.808846652507782 0.04315244406461716 0.10816055536270142 0.053162187337875366 0.2881036698818207 0.043685778975486755 0.23153181374073029 0.6449674963951111 0.0019120952347293496
    1.2.826.0.1.3680043.8.498.48754039765499955558030275689812581131 0.00040839528082869947 0.0003370902850292623 0.0005522932042367756 0.0007524767424911261 0.0010574179468676448 0.0002934994699899107 0.00043656499474309385 0.02511497773230076 0.5566399693489075 0.4704704284667969 0.0003536932053975761
    1.2.826.0.1.3680043.8.498.12185488902412214971100374163266547670 0.00021971971727907658 0.00019667418382596225 0.00032608845504000783 0.0005688419914804399 0.0007623465498909354 5.283155041979626e-05 0.0004219802503939718 0.003555483417585492 0.013455042615532875 0.9904353022575378 7.202103734016418e-05
    1.2.826.0.1.3680043.8.498.86199852603457900780565655267977637728 0.0003655340406112373 0.00031550147105008364 0.00027329663862474263 0.0005245421198196709 0.0008140091667883098 5.271516783977859e-05 0.0005098969559185207 0.23356851935386658 0.406231164932251 0.36807700991630554 0.00034957967000082135
    1.2.826.0.1.3680043.8.498.89118813448430709025097626579644464318 0.0005103994044475257 0.00042423413833603263 0.0006659299833700061 0.0009940178133547306 0.0017646662890911102 0.00023818702902644873 0.0006979448953643441 0.01803424209356308 0.20829296112060547 0.8678215146064758 0.000415512069594115
    1.2.826.0.1.3680043.8.498.85549489929850743888645536422390371769 0.00041221053106710315 0.0003149730328004807 0.00038309633964672685 0.0013340121367946267 0.0005050305626355112 0.0013277226826176047 8.489763422403485e-05 0.11414792388677597 0.14063821732997894 0.841935932636261 0.0006061298190616071
    1.2.826.0.1.3680043.8.498.30064556935457129839874348161716302037 0.0001261445286218077 9.625670645618811e-05 0.0001171750045614317 0.000246330164372921 0.0003660946968011558 1.3755561667494476e-05 0.00022128663840703666 0.0061506167985498905 0.08418764919042587 0.945661723613739 7.706585165578872e-05
    1.2.826.0.1.3680043.8.498.11406279839314633529300805647112082090 0.00047890545101836324 0.008010128512978554 0.9948180913925171 0.012144839391112328 0.014732587151229382 0.15400907397270203 0.033202897757291794 0.07923232018947601 0.5078312158584595 0.7893966436386108 0.0012939784210175276
    1.2.826.0.1.3680043.8.498.13343859559962633992236748675816395326 0.0007188875460997224 0.0014704657951369882 0.002290823496878147 0.0017841856461018324 0.0048822336830198765 0.0007647182792425156 0.020809274166822433 0.05152450129389763 0.04635588079690933 0.9750972986221313 0.00044183750287629664
    1.2.826.0.1.3680043.8.498.54688539548404849090867878079893893750 0.0006145504885353148 0.0004111354355700314 0.0003974197315983474 0.0015581337502226233 0.004339627921581268 0.0007396644214168191 0.0065701305866241455 0.05417497828602791 0.15918394923210144 0.8220245242118835 0.0005097585963085294
    1.2.826.0.1.3680043.8.498.62220261081297621381613716932675685384 0.000250826618866995 0.00043327888124622405 0.0004518105124589056 0.0004637532401829958 0.0005853928159922361 5.590731234406121e-05 0.0007303645252250135 0.09672028571367264 0.20012740790843964 0.8346888422966003 0.0002999129064846784
    1.2.826.0.1.3680043.8.498.53103113399492352976653201294538236920 8.11247227829881e-05 6.574708095286041e-05 0.00010587135329842567 0.0002755343448370695 0.00014302572526503354 0.0001205382650368847 7.484194793505594e-05 0.0032799546606838703 0.032106973230838776 0.9706544876098633 4.957885175826959e-05
    1.2.826.0.1.3680043.8.498.10547395305478128433475987278631114962 0.0005879576201550663 0.0006042805616743863 0.0005448859301395714 0.0009191147983074188 0.0013400682946667075 9.295648487750441e-05 0.0010069601703435183 0.05267111212015152 0.5875633955001831 0.5695333480834961 0.0004033503937534988
    1.2.826.0.1.3680043.8.498.24092119858980658700851452478564161805 0.0004768983053509146 0.0011246490757912397 0.015404785983264446 0.0031105182133615017 0.0007945293327793479 0.016777127981185913 0.00025491794804111123 0.031528957188129425 0.09002263844013214 0.9111510515213013 0.00035413974546827376
    1.2.826.0.1.3680043.8.498.44840699418247685242505922280589292300 0.0002193171822000295 0.0001347807701677084 0.0001007639366434887 0.0003289562009740621 0.00034981296630576253 6.11323193879798e-05 0.0002069815236609429 0.2147442102432251 0.5291687250137329 0.31293779611587524 0.0002575097023509443
    1.2.826.0.1.3680043.8.498.10275296694555687633948135019004938710 0.007785547524690628 0.029622796922922134 0.19127532839775085 0.06307066977024078 0.05168901011347771 0.2696852385997772 0.10015819221735 0.09404829889535904 0.10735664516687393 0.4547251760959625 0.001263915211893618
    1.2.826.0.1.3680043.8.498.55981473018342529402386641332001987665 0.0002081109705613926 0.00015211263962555677 0.00016361998859792948 0.00030231598066166043 0.000336010183673352 6.669880531262606e-05 0.00017672957619652152 0.0564998984336853 0.22884401679039001 0.7315596342086792 0.00018431044009048492
    1.2.826.0.1.3680043.8.498.50551264884698367615385558747867175656 0.0001756435667630285 0.00013671032502315938 0.00022264415747486055 0.00039702263893559575 0.0004773727268911898 0.00012676746700890362 0.00013042190403211862 0.005191146396100521 0.09463830292224884 0.9342840313911438 0.0001251842186320573
    1.2.826.0.1.3680043.8.498.11996301422123572861768288391597944099 0.00022736875689588487 0.00018505114712752402 0.0004707011394202709 0.0005918968818150461 0.000551924982573837 0.0002928281610365957 0.00013450763071887195 0.013751027174293995 0.20600637793540955 0.8486955761909485 0.00023802297073416412
    1.2.826.0.1.3680043.8.498.13247924193240100275442856128075785718 0.001278145588003099 0.00342824449762702 0.01988181099295616 0.005435175262391567 0.006185022182762623 0.05642043426632881 0.02114543505012989 0.10046844184398651 0.29027262330055237 0.5903364419937134 0.0012792852940037847
    1.2.826.0.1.3680043.8.498.56133293311734220132423470204963221363 0.000415516464272514 0.00041280564619228244 0.0010538236238062382 0.0012574669672176242 0.004637154284864664 0.00029458687640726566 0.012703783810138702 0.007817355915904045 0.034723058342933655 0.9811113476753235 0.0002479273243807256
    1.2.826.0.1.3680043.8.498.11327012473975237329667108170463134292 0.00042764499085024 0.00040718019590713084 0.0004901713691651821 0.001509757013991475 0.0011933015193790197 0.000648943823762238 0.0004062547814100981 0.02124122902750969 0.03900374472141266 0.9672656059265137 0.0003584180085454136
    1.2.826.0.1.3680043.8.498.99235344473776443828136822836923318793 8.774633170105517e-05 6.12282965448685e-05 0.00015779038949403912 0.00022652442567050457 0.00012397098180372268 0.00016202693223021924 2.6807771064341068e-05 0.009499765932559967 0.02137177437543869 0.9813491702079773 5.20622925250791e-05
    1.2.826.0.1.3680043.8.498.12380509573069100695880465593353872643 0.0005449177697300911 0.0004148218722548336 0.00042032674537040293 0.0008868960430845618 0.0013028171379119158 0.0001980110100703314 0.0009453981183469296 0.0705508142709732 0.3057797849178314 0.6658777594566345 0.00043075502617284656
    1.2.826.0.1.3680043.8.498.47812467041922401369150644705072161580 0.0008772225119173527 0.000780732196290046 0.001466588000766933 0.0017854940379038453 0.000925463973544538 0.0015277096536010504 0.0005535021191462874 0.26000910997390747 0.1198471412062645 0.7203390002250671 0.0006978556630201638
    1.2.826.0.1.3680043.8.498.11736556400675819225826998645174901160 0.01760762557387352 0.2745921015739441 0.7539234757423401 0.03283442184329033 0.07851018756628036 0.22102069854736328 0.3554309010505676 0.09240663051605225 0.29659175872802734 0.6689609289169312 0.0034003914333879948
    1.2.826.0.1.3680043.8.498.63121324545058918733400824025347582689 0.0001665407617110759 0.00018300658848602325 0.000388096843380481 0.0005217076977714896 0.0003052496467716992 0.0004115681513212621 0.00011478820670163259 0.007468902971595526 0.05424381420016289 0.9521204829216003 0.0001249965571332723
    1.2.826.0.1.3680043.8.498.25665533354737778731879782569095174362 0.00023789043189026415 0.000449945917353034 0.0003480571904219687 0.00024949401267804205 0.000535353203304112 4.762085518450476e-05 0.0019122554222121835 0.04696180671453476 0.43820491433143616 0.525455892086029 0.0002719469484873116
    1.2.826.0.1.3680043.8.498.88375733839280154372991111636689619915 0.000504282652400434 0.0004715997201856226 0.0005370714934542775 0.001200171303935349 0.0013461554190143943 0.0003142864734400064 0.0008563059382140636 0.07972855865955353 0.7453252077102661 0.4281722903251648 0.0008006232092157006
    1.2.826.0.1.3680043.8.498.90176932050263196904471733238619109525 0.00025910622207447886 0.00020611219224520028 0.00031800195574760437 0.001100802794098854 0.00023506852448917925 0.0010713327210396528 5.394607433117926e-05 0.09760959446430206 0.10852311551570892 0.8171003460884094 0.00031948782270774245
    1.2.826.0.1.3680043.8.498.11899504184511751558774345942369918154 0.00029560038819909096 0.00020745338406413794 0.00020488526206463575 0.000769857142586261 0.00022339816496241838 0.0005967819597572088 4.417622767505236e-05 0.3341052532196045 0.13186129927635193 0.563087522983551 0.0003256244526710361
    1.2.826.0.1.3680043.8.498.98729383815757909084898120959741753634 0.0011709094978868961 0.0012067726347595453 0.0013196330983191729 0.0026266351342201233 0.004297570791095495 0.0014388385461643338 0.004331538453698158 0.08839903771877289 0.5574734807014465 0.42878755927085876 0.0015110827516764402
    1.2.826.0.1.3680043.8.498.32036761160501864886149352942419985032 0.0005849302979186177 0.006092819385230541 0.9925436973571777 0.007182948291301727 0.04090249910950661 0.08996023237705231 0.38270074129104614 0.02788064442574978 0.25502267479896545 0.9208570718765259 0.0011630868539214134
    1.2.826.0.1.3680043.8.498.11245669877469072651006910111468024111 0.00017929152818396688 0.00019805514602921903 0.00019268454343546182 0.00016173328913282603 0.0002848916337825358 6.600581400562078e-05 0.0007518110214732587 0.06446252018213272 0.2994387745857239 0.6389470100402832 0.0002065276785288006
    1.2.826.0.1.3680043.8.498.13266987570722166433744703437678413732 7.868015381973237e-05 0.00011422204261180013 0.00015911510854493827 0.00017514167120680213 6.538978050230071e-05 0.0005015378119423985 1.2228275409142952e-05 0.017846375703811646 0.06926374137401581 0.9478836059570312 6.785766163375229e-05
    1.2.826.0.1.3680043.8.498.76679631434067380975850745152542121420 0.00015709962463006377 0.00034028670052066445 0.00033464483567513525 0.0003381244314368814 0.00033008286845870316 9.291721653426066e-05 0.0003350300248712301 0.022531475871801376 0.29085829854011536 0.938926100730896 0.00014423418906517327
    1.2.826.0.1.3680043.8.498.52394546013091861132431315404586547894 0.00016857142327353358 0.00013214505452197045 8.006844291230664e-05 0.00026017019990831614 0.00020634180691558868 4.0607163100503385e-05 0.0002801076916512102 0.0881563276052475 0.6805326342582703 0.24268972873687744 0.00022649062157142907
    1.2.826.0.1.3680043.8.498.66585272618821449926557157706168441587 0.014082754030823708 0.2963714003562927 0.7210853695869446 0.007297503296285868 0.03065696731209755 0.012797434814274311 0.9521790742874146 0.2246113270521164 0.344585657119751 0.5232784152030945 0.08959176391363144
    1.2.826.0.1.3680043.8.498.11502273000341664602119298036560942845 0.00010087984992424026 9.566518565407023e-05 0.00011304888175800443 0.0001728048810036853 0.0002200378366978839 2.3182279619504698e-05 0.0011167989578098059 0.004833940416574478 0.04731205850839615 0.9819448590278625 5.011034227209166e-05
    1.2.826.0.1.3680043.8.498.58749634531037065427401037581485324051 0.0007637795060873032 0.0009233819437213242 0.0008386263507418334 0.0013697360409423709 0.0014791270950809121 0.00023696436255704612 0.0014924815623089671 0.42107993364334106 0.37285691499710083 0.38439780473709106 0.0010048395488411188
    1.2.826.0.1.3680043.8.498.31580194514773323995868059859880755764 0.0002086053427774459 0.0003055200504604727 0.00026071182219311595 0.00019747356418520212 0.0002891557523980737 2.979887358378619e-05 0.001182069769129157 0.15461602807044983 0.6924542188644409 0.28725680708885193 0.00023872460587881505
    1.2.826.0.1.3680043.8.498.89869083190382773080224007015860523208 0.0027034399099648 0.04492427781224251 0.9410803914070129 0.031754326075315475 0.03766794875264168 0.6172592639923096 0.12675154209136963 0.051431190222501755 0.15287530422210693 0.735186755657196 0.0026813140138983727
    1.2.826.0.1.3680043.8.498.99840913070180372408771595805173912537 0.0003282558172941208 0.0007376468274742365 0.0007291584042832255 0.00039095705142244697 0.0006674636388197541 0.00022391832317225635 0.0013754591345787048 0.028339499607682228 0.7325084805488586 0.32306551933288574 0.00020909305021632463
    1.2.826.0.1.3680043.8.498.90852239484871697553352748194437373639 0.005559347104281187 0.12963135540485382 0.8276427388191223 0.052196256816387177 0.021653752774000168 0.7015601396560669 0.023106124252080917 0.049510739743709564 0.3011402487754822 0.7489993572235107 0.003414228092879057
    1.2.826.0.1.3680043.8.498.56709341480322346209455403724481618864 0.003950519487261772 0.05705131217837334 0.4268699288368225 0.01254698820412159 0.06045530363917351 0.016205303370952606 0.7212833166122437 0.07717087864875793 0.3905453085899353 0.5243661403656006 0.0005715147708542645
    1.2.826.0.1.3680043.8.498.22088319445901040068163822055171744964 0.00022688473109155893 0.0002271566045237705 0.0003715758793987334 0.00044345675269141793 0.0005790150025859475 8.324672671733424e-05 0.00046698408550582826 0.015352942049503326 0.06794832646846771 0.9470142126083374 0.0001303818280575797
    1.2.826.0.1.3680043.8.498.62636555243032600763940114969523260696 9.432363003725186e-05 8.469254680676386e-05 0.0002312979195266962 0.00016536466137040406 0.00010503621160751209 0.00011959399853367358 3.39120342687238e-05 0.08697431534528732 0.09105728566646576 0.8456577062606812 0.00011164367606397718
    1.2.826.0.1.3680043.8.498.12538210331850755505182181880894763967 0.007144161965698004 0.11126095056533813 0.895732045173645 0.06820207834243774 0.07437895983457565 0.7838248014450073 0.12385649979114532 0.04666665196418762 0.13211628794670105 0.6841262578964233 0.002539965556934476
    1.2.826.0.1.3680043.8.498.11210230496603592426923805075700446453 0.00017871301679406315 0.00018104971968568861 0.0002925791486632079 0.0004601803666446358 0.00035964782000519335 0.0001424273068550974 0.000310533243464306 0.015277069993317127 0.16966107487678528 0.8819472193717957 0.00013895895972382277
    1.2.826.0.1.3680043.8.498.40192947836000448828081663311662217338 0.00028045393992215395 0.0005088979378342628 0.00040756940143182874 0.0006504266639240086 0.0002577392151579261 0.0014435205375775695 0.00018068598001264036 0.06437860429286957 0.19122140109539032 0.7682549357414246 0.0003826009342446923
    1.2.826.0.1.3680043.8.498.46800040874185154737683702174832502881 0.0026844993699342012 0.006081565283238888 0.007647816091775894 0.002710653468966484 0.0028452747501432896 0.001040630741044879 0.09106217324733734 0.14813895523548126 0.3274253010749817 0.5516356229782104 0.0021130009554326534
    1.2.826.0.1.3680043.8.498.11397896435572402386699005759448071858 0.00020356327877379954 0.00013039680197834969 0.00022523340885527432 0.0004999019438400865 0.000308070273604244 0.0005223759217187762 9.209131530951709e-05 0.040807854384183884 0.37162381410598755 0.5843392014503479 0.00035826448583975434
    1.2.826.0.1.3680043.8.498.11702982920371426476925629575056843646 0.00014638775610364974 0.00021992756228428334 0.0003258814394939691 0.00026238910504616797 0.0005355727626010776 3.096818181802519e-05 0.0005111763020977378 0.0025090102571994066 0.01437295414507389 0.9923092126846313 4.265634561306797e-05
    1.2.826.0.1.3680043.8.498.10885319635587798490631343165992467740 0.000286355905700475 0.00021613661374431103 0.00035669622593559325 0.0004940839717164636 0.0008599843713454902 8.538675319869071e-05 0.00035331802791915834 0.010582707822322845 0.17771172523498535 0.8368503451347351 0.00020341920026112348
    1.2.826.0.1.3680043.8.498.12019760726870070833641626223868337076 0.0003633580054156482 0.00045378709910437465 0.0003921294992323965 0.00037183385575190187 0.0006000264547765255 8.194713882403448e-05 0.0010083450470119715 0.044069744646549225 0.1839364767074585 0.8032119870185852 0.0003166418173350394
    1.2.826.0.1.3680043.8.498.12003471577430382808371695240599764245 0.013428891077637672 0.38737648725509644 0.5146913528442383 0.0023890535812824965 0.015245102345943451 0.0017795456806197762 0.9913530349731445 0.04655059799551964 0.2652195990085602 0.7925150990486145 0.0046737948432564735
    1.2.826.0.1.3680043.8.498.66944450795620363297802818194346541135 0.001022100099362433 0.0015599827747792006 0.0032712644897401333 0.004084342624992132 0.004855378530919552 0.005634387955069542 0.004726824350655079 0.054817043244838715 0.30954089760780334 0.7712283730506897 0.0009523200569674373
    1.2.826.0.1.3680043.8.498.66800994253578161507968935998126675096 0.0013088941341266036 0.0014242822071537375 0.001651671133004129 0.0018664293456822634 0.003907647915184498 0.000285628077108413 0.003705821232870221 0.5422078967094421 0.2763911783695221 0.26030081510543823 0.0016003691125661135
    1.2.826.0.1.3680043.8.498.13224257215496950011221213849929157397 0.0006062827887944877 0.0006065120687708259 0.0012903115712106228 0.0017605293542146683 0.001985743874683976 0.00036644272040575743 0.0012764733983203769 0.013088703155517578 0.01512524951249361 0.9836166501045227 0.00016972303274087608
    1.2.826.0.1.3680043.8.498.77375911905205599085007065653349503736 0.0006648757844232023 0.0010610889876261353 0.0013144623953849077 0.00137243396602571 0.0015966619830578566 0.0005173922399990261 0.0010910488199442625 0.3442226052284241 0.4785862863063812 0.16055512428283691 0.0006614356534555554
    1.2.826.0.1.3680043.8.498.80760318531938887182592979002333288333 0.0003523042832966894 0.0003605853416956961 0.0005965575110167265 0.0004926392575725913 0.000723387929610908 0.00022049508697818965 0.000607381749432534 0.012629469856619835 0.32181864976882935 0.7868176698684692 0.0002730952692218125
    1.2.826.0.1.3680043.8.498.48548088647464421326133272306829802485 0.015455851331353188 0.21564748883247375 0.33956214785575867 0.018614085391163826 0.038531593978405 0.06620924174785614 0.32349270582199097 0.05951029062271118 0.37323683500289917 0.5026572942733765 0.0007132339524105191
    1.2.826.0.1.3680043.8.498.10057889014011030531203215789564196951 0.00023032219905871898 0.00019034286378882825 0.00016222473641391844 0.0003479511942714453 0.0004346096538938582 9.01173334568739e-05 0.0002628357906360179 0.039741117507219315 0.09258756786584854 0.8386677503585815 0.00021944714535493404
    1.2.826.0.1.3680043.8.498.81533679382932507396416722763965352668 0.00016608761507086456 0.00013199089153204113 0.00017877036589197814 0.0002805654949042946 0.00027658362523652613 2.6476362108951434e-05 0.0003080824972130358 0.02143547125160694 0.06770800799131393 0.9147931337356567 8.414655894739553e-05
    1.2.826.0.1.3680043.8.498.24342522768947292649582961808870504060 0.0003451808006502688 0.00027139374287799 0.0003818984259851277 0.0005469910684041679 0.0007953805616125464 0.000428339175414294 0.0009526504436507821 0.05252329260110855 0.0824485793709755 0.8251306414604187 0.00021431889035739005
    1.2.826.0.1.3680043.8.498.25881213109059570231925795017929898469 7.70112601458095e-05 0.000152917840750888 0.00026282406179234385 0.00013352269888855517 0.00021211197599768639 8.562136645196006e-05 0.00020681184832938015 0.0032817930914461613 0.00961831584572792 0.9952203631401062 2.479971226421185e-05
    1.2.826.0.1.3680043.8.498.56309513462457969002014595010311521015 0.0006614824524149299 0.0011736087035387754 0.0033076442778110504 0.002557113766670227 0.0016894250875338912 0.0008008264121599495 0.010603906586766243 0.01861051470041275 0.05710562318563461 0.9698575139045715 0.0004983651451766491
    1.2.826.0.1.3680043.8.498.46576868619585114156950451622742459622 0.0002570347860455513 0.00017555699741933495 0.0001689457130851224 0.00037168891867622733 0.0005034581990912557 5.039051757194102e-05 0.0002091746573569253 0.025793325155973434 0.2694723904132843 0.7900985479354858 0.00018328914302401245
    1.2.826.0.1.3680043.8.498.11109773250856601368434655068420965732 0.0003225772234145552 0.0002621231251396239 0.00021101425227243453 0.0005336307804100215 0.0004232416395097971 0.00025023758644238114 0.0002740038908086717 0.05133993178606033 0.22980432212352753 0.7269943356513977 0.0002556371327955276
    1.2.826.0.1.3680043.8.498.85903970628920900860031076065826199697 0.00040825697942636907 0.001034906250424683 0.0015466802287846804 0.0005854311748407781 0.0009958037408068776 0.00016511560534127057 0.0035334366839379072 0.0908069834113121 0.3779119849205017 0.505743145942688 0.00041489204159006476
    1.2.826.0.1.3680043.8.498.19848481542970648401255573708889891129 0.00019829806115012616 0.00022411474492400885 0.00020550361659843475 0.0003852209192700684 0.0005072575295343995 6.944821507204324e-05 0.00020799969206564128 0.0119438786059618 0.21182267367839813 0.8703152537345886 0.00012417258403729647
    1.2.826.0.1.3680043.8.498.30132967471635885709592608912362931615 0.0008110933122225106 0.0010138845536857843 0.001115928404033184 0.004119495861232281 0.0015315129421651363 0.00916509609669447 0.00037768326001241803 0.22895610332489014 0.17159967124462128 0.744553804397583 0.0026663807220757008
    1.2.826.0.1.3680043.8.498.20578662813563504122309230468740785534 0.0006962176412343979 0.001337146619334817 0.0034344326704740524 0.0010854039574041963 0.0019482697825878859 0.0007904329104349017 0.017286455258727074 0.1103028804063797 0.1314489096403122 0.8496624827384949 0.0006423721788451076
    1.2.826.0.1.3680043.8.498.66038797558465497343000534306513455748 0.00020263013720978051 0.00014807387196924537 0.0001811893016565591 0.00032923443359322846 0.00046033947728574276 3.304528217995539e-05 0.00019622889521997422 0.007234475109726191 0.07013816386461258 0.8908130526542664 9.307403524871916e-05
    1.2.826.0.1.3680043.8.498.71825880127153382511915912192613717323 0.020072635263204575 0.14091479778289795 0.0676761269569397 0.0593256838619709 0.08784365653991699 0.4698663651943207 0.5542930364608765 0.09475185722112656 0.36807388067245483 0.4168429374694824 0.0021217595785856247
    1.2.826.0.1.3680043.8.498.36864099710018310574165298779537899847 0.00038274971302598715 0.0006280118832364678 0.0003716091741807759 0.00038332646363414824 0.000647064414806664 3.656092667370103e-05 0.0015496581327170134 0.12753364443778992 0.3053564131259918 0.6367141604423523 0.00028819619910791516
    1.2.826.0.1.3680043.8.498.69323725024263880369287202214730009557 0.00019561356748454273 0.00014793765149079263 0.0002027583832386881 0.0003633447631727904 0.0005684270290657878 7.586291758343577e-05 0.00014803811791352928 0.012230333872139454 0.2699381411075592 0.7527286410331726 0.00017825223039835691
    1.2.826.0.1.3680043.8.498.34528175393501941418053041165442951774 0.0004598937521222979 0.001451968913897872 0.002848529489710927 0.0025934320874512196 0.0005381800583563745 0.009516343474388123 0.00016659522952977568 0.08815200626850128 0.42340102791786194 0.5791047215461731 0.001495503936894238
    1.2.826.0.1.3680043.8.498.34341291972901807637717660843918792182 0.0011955059599131346 0.0017424389952793717 0.0021941878367215395 0.0019203191623091698 0.003098410554230213 0.0008570387726649642 0.008392208255827427 0.17803937196731567 0.08639447391033173 0.8192474246025085 0.0006763218552805483
    1.2.826.0.1.3680043.8.498.10160262822168169886957851879966929753 0.00042600539745762944 0.0004216827801428735 0.0005296813906170428 0.00098476093262434 0.000948926608543843 0.0005760923959314823 0.00032442412339150906 0.0183566901832819 0.033909328281879425 0.9693770408630371 0.00017424668476451188
    1.2.826.0.1.3680043.8.498.11695049927299443557487048923304944942 0.007417780812829733 0.20780837535858154 0.7554451823234558 0.04794822260737419 0.016847195103764534 0.8302558064460754 0.028200620785355568 0.05291883274912834 0.3231108486652374 0.7562586665153503 0.004915605299174786
    1.2.826.0.1.3680043.8.498.36029009388243498214899704561082515533 0.0002150100190192461 0.00019489371334202588 0.0006332353805191815 0.000729296007193625 0.0004141121171414852 0.00043680286034941673 0.00015035926480777562 0.01874708943068981 0.08567599952220917 0.8948167562484741 0.00019022347987629473
    1.2.826.0.1.3680043.8.498.10852316232025314468081220851550060687 0.00019857834558933973 0.00015664403326809406 0.00046298475353978574 0.0005223756306804717 0.000681644189171493 0.00013759577996097505 0.00025953800650313497 0.004279466811567545 0.030901258811354637 0.9731667637825012 0.00013050511188339442
    1.2.826.0.1.3680043.8.498.89280745313028487539893295106871791366 0.00026293814880773425 0.00033586291829124093 0.0004974923213012516 0.0008511509513482451 0.00040010194061324 0.001289083156734705 8.62362576299347e-05 0.030662115663290024 0.3070791959762573 0.6319100856781006 0.0002865716232918203
    1.2.826.0.1.3680043.8.498.13309054387038870621816168486422112650 0.0004302032757550478 0.00023633164528291672 0.00026050364249385893 0.0010738340206444263 0.001347151817753911 0.00011754383740480989 0.00044677374535240233 0.023022141307592392 0.10162107646465302 0.8815768361091614 0.00038155162474140525
    1.2.826.0.1.3680043.8.498.12349188917448430779580626105534826402 5.497200618265197e-05 9.236011828761548e-05 0.0002055467339232564 0.000170939601957798 4.7783381887711585e-05 0.0004551243910100311 1.0418220881547313e-05 0.01498507708311081 0.08695786446332932 0.9278783798217773 6.0087179008405656e-05
    1.2.826.0.1.3680043.8.498.13015049081308409703053257117502308248 0.0004638823156710714 0.0005535291275009513 0.0022596344351768494 0.0035691442899405956 0.0011863034451380372 0.008462614379823208 0.00039976724656298757 0.02418317273259163 0.03384540602564812 0.9428693652153015 0.00048776878975331783
    1.2.826.0.1.3680043.8.498.10652898742873387735104900345514340141 0.00019715671078301966 0.0002623169857542962 0.0004246456956025213 0.0009444230236113071 0.0001350856909994036 0.0031763508450239897 3.437289342400618e-05 0.019851798191666603 0.0977780893445015 0.9343517422676086 0.0003078285953961313
    1.2.826.0.1.3680043.8.498.92166214429495600785155488475658993000 0.0004052090516779572 0.0002658259472809732 0.00028395515982992947 0.0004130020388402045 0.0005321825155988336 0.0001236831012647599 0.0003316235088277608 0.05149722099304199 0.2359958440065384 0.8010929226875305 0.00036139943404123187
    1.2.826.0.1.3680043.8.498.83503712870675473915743869829638996152 0.0001537836651550606 0.00011349739361321554 0.00026860565412789583 0.000356168340658769 0.00040687862201593816 7.012042624410242e-05 0.00020600440620910376 0.0041472711600363255 0.018361616879701614 0.985467791557312 6.270648736972362e-05
    1.2.826.0.1.3680043.8.498.48074581103473438856556757833599610132 0.0003532657865434885 0.0003309083986096084 0.0004595487262122333 0.0006435996619984508 0.001077172695659101 0.00010755671246442944 0.0009081661701202393 0.005221762228757143 0.028627851977944374 0.9762237668037415 0.0001342300820397213
    1.2.826.0.1.3680043.8.498.48977279559253132794239451239144529258 0.0013467974495142698 0.0018165779765695333 0.0013037488097324967 0.0030867750756442547 0.003930527251213789 0.0031956639140844345 0.003621345851570368 0.22053976356983185 0.4926896095275879 0.6109755635261536 0.0020447515416890383
    1.2.826.0.1.3680043.8.498.65534778192586682206361602905272820473 0.005225467961281538 0.011122748255729675 0.01844196207821369 0.009099277667701244 0.03020470216870308 0.002811089623719454 0.11089932918548584 0.11993817239999771 0.229850172996521 0.7565876245498657 0.0034496397711336613
    1.2.826.0.1.3680043.8.498.12893097237666208836291799936500590230 0.00013810413656756282 0.00010357649443903938 0.00010148747969651595 0.00023599679116159678 0.0003388894547242671 3.646029654191807e-05 0.00015585585788358003 0.006475724279880524 0.12476484477519989 0.8873533010482788 7.288044434972107e-05
    1.2.826.0.1.3680043.8.498.12831164300825266232527886945152330385 0.0003819355624727905 0.0007624204736202955 0.0016628466546535492 0.002257133834064007 0.0005104003357701004 0.005648852791637182 0.00023287278600037098 0.007166893221437931 0.07072826474905014 0.9642146825790405 0.0002837908687070012
    1.2.826.0.1.3680043.8.498.10003659706701445041816900371598078663 0.02345523051917553 0.4565207362174988 0.5554589033126831 0.017247313633561134 0.04847593978047371 0.4267595410346985 0.32943862676620483 0.11029891669750214 0.5214649438858032 0.5208173990249634 0.0027484730817377567
    1.2.826.0.1.3680043.8.498.25026199667490261700026283908362707442 0.0013743004528805614 0.01981128752231598 0.9663580060005188 0.009406350553035736 0.06215868517756462 0.24809333682060242 0.7111244797706604 0.026604657992720604 0.19875022768974304 0.7834924459457397 0.0008907931041903794
    1.2.826.0.1.3680043.8.498.69660716409323456870722066143593137977 0.00018414392252452672 0.00019673383212648332 0.00030922360019758344 0.0008113842341117561 0.00048783072270452976 8.954972872743383e-05 0.00026435477775521576 0.004578351508826017 0.0368078276515007 0.9861161112785339 8.73521130415611e-05
    1.2.826.0.1.3680043.8.498.11727694035065885750228520789780535306 0.0001238050899701193 0.0008227506768889725 0.9996101260185242 0.007471094839274883 0.017474904656410217 0.009333578869700432 0.04279572516679764 0.08078156411647797 0.4152432382106781 0.4392968714237213 0.0006814863882027566
    1.2.826.0.1.3680043.8.498.82357636227426926173213839092732474346 0.00022810806694906205 0.00023609928030055016 0.000258853193372488 0.0007423540228046477 0.0005162656307220459 0.0007370605017058551 0.00039048073813319206 0.006791359279304743 0.04234931617975235 0.9787179827690125 0.0002617127320263535
    1.2.826.0.1.3680043.8.498.70873493624656843862357768960118179445 0.00025162723613902926 0.0002826653071679175 0.00044588992022909224 0.0006039789877831936 0.00035292902612127364 0.0009808907052502036 0.0003325992729514837 0.05852677673101425 0.29819566011428833 0.7619192004203796 0.00026088941376656294
    1.2.826.0.1.3680043.8.498.10993983749126238130136996363626324677 0.008963847532868385 0.2847291827201843 0.7019097805023193 0.003233090741559863 0.022265415638685226 0.011511404998600483 0.945811927318573 0.02699529007077217 0.14670217037200928 0.7240152359008789 0.06883643567562103
    1.2.826.0.1.3680043.8.498.36149809085337402522055004735738513405 0.00013441708870232105 0.00017210750957019627 0.00038384360959753394 0.0002681442419998348 0.000548145268112421 6.11635041423142e-05 0.0004945119726471603 0.003062276402488351 0.012096676044166088 0.9941215515136719 4.8490313929505646e-05
    1.2.826.0.1.3680043.8.498.23265972321949496796183046539305273555 0.00018014029774349183 0.00017667761130724102 0.00028215342899784446 0.00046283070696517825 0.00036878924584016204 7.432564598275349e-05 0.0001820843172026798 0.01525645237416029 0.20001180469989777 0.8671656847000122 0.00016142448293976486
    1.2.826.0.1.3680043.8.498.12611918227366062350967555297039136102 0.0003294051857665181 0.00026858653291128576 0.00043835421092808247 0.0010167310247197747 0.0011624617036432028 0.0007332825334742665 0.0005151264485903084 0.026379024609923363 0.11814650148153305 0.9499886631965637 0.00025282439310103655
    1.2.826.0.1.3680043.8.498.91906612822816609993387705838989888191 0.0003762729756999761 0.0003500156453810632 0.0002667118969839066 0.00047105742851272225 0.0006529326783493161 0.00011319274926790968 0.00027241339557804167 0.050206344574689865 0.4384956359863281 0.5306104421615601 0.0003912028041668236
    1.2.826.0.1.3680043.8.498.10854577008358800928183104506873241394 0.0007843676139600575 0.013975171372294426 0.9913219213485718 0.010677589103579521 0.04334520548582077 0.5908503532409668 0.3796261250972748 0.017446236684918404 0.2928864359855652 0.961164116859436 0.0018882665317505598
    1.2.826.0.1.3680043.8.498.13366276014466732476231225775894613901 0.00039823405677452683 0.0002638677251525223 0.00036761423689313233 0.0005735171725973487 0.0009884689934551716 7.298013952095062e-05 0.0005478454986587167 0.04017079621553421 0.26857230067253113 0.6199802160263062 0.0003543080820236355
    1.2.826.0.1.3680043.8.498.58020777619923677244070155450293411258 0.0025231551844626665 0.0013779839500784874 0.0009226406691595912 0.02104939892888069 0.10453595221042633 0.07052681595087051 0.7809973955154419 0.0230883676558733 0.11557836830615997 0.8789080381393433 0.0017123559955507517
    1.2.826.0.1.3680043.8.498.94970091947720727254911399467045092931 9.895878611132503e-05 0.00015949757653288543 0.0001724287576507777 8.595812687417492e-05 0.00017066871805582196 1.1783706213464029e-05 0.0024028895422816277 0.009214098565280437 0.0270753912627697 0.9817245602607727 5.51636258023791e-05
    1.2.826.0.1.3680043.8.498.11580068066149717773147481480926254965 0.00020130448683630675 0.00034300435800105333 0.0006980570033192635 0.001156474114395678 0.0003482433967292309 0.002973897848278284 0.00021535057749133557 0.016562867909669876 0.021640071645379066 0.9794123768806458 0.000277788785751909
    1.2.826.0.1.3680043.8.498.52704650102454845717272086456664253022 0.0009812399512156844 0.0007437533931806684 0.001966517185792327 0.013813209719955921 0.008840451948344707 0.24822470545768738 0.00584696140140295 0.07512249797582626 0.14104291796684265 0.7525255084037781 0.0017037882935255766
    1.2.826.0.1.3680043.8.498.65185141910793459056260755008677056132 0.0003743574779946357 0.00030309680732898414 0.0003422823210712522 0.0008621502784080803 0.0005264419596642256 0.0005958275869488716 0.00017449352890253067 0.23129859566688538 0.6538410186767578 0.19075873494148254 0.000423321092966944
    1.2.826.0.1.3680043.8.498.32691408533522724756446178724811648918 0.05182405188679695 0.4002927243709564 0.584610641002655 0.025909345597028732 0.03386348858475685 0.38825705647468567 0.20650315284729004 0.12151928246021271 0.3392130732536316 0.4344705045223236 0.001483752392232418
    1.2.826.0.1.3680043.8.498.52552676989478490498369223763388067749 0.017566082999110222 0.30364835262298584 0.4863494038581848 0.04671401530504227 0.02030804380774498 0.6132223010063171 0.020194871351122856 0.04108915850520134 0.1865062713623047 0.906432032585144 0.006948663853108883
    1.2.826.0.1.3680043.8.498.10849201419198779763484437032695599761 0.001422761008143425 0.002751950640231371 0.008177714422345161 0.005310788284987211 0.0025242320261895657 0.014970382675528526 0.001131419325247407 0.10060107707977295 0.20439204573631287 0.6938842535018921 0.002113306662067771
    1.2.826.0.1.3680043.8.498.10577894070627828199304117878617434862 0.00031170021975412965 0.0001909526326926425 0.0003308692539576441 0.0005747805116698146 0.0006891088560223579 0.0001278723793802783 0.00019627153233159333 0.012934464029967785 0.10194674879312515 0.8674205541610718 0.0002575454709585756
    1.2.826.0.1.3680043.8.498.52464563508564692143353410074576065558 0.005646121688187122 0.12207707017660141 0.8070957064628601 0.005834838841110468 0.02605859562754631 0.012900124303996563 0.895720362663269 0.05773245170712471 0.14468951523303986 0.9607423543930054 0.9610028266906738
    1.2.826.0.1.3680043.8.498.11548969491165725048854750425488745313 0.00039941485738381743 0.001003761077299714 0.0008596930420026183 0.0003494874981697649 0.0006779032992199063 4.886903479928151e-05 0.025791998952627182 0.04130293056368828 0.06218407303094864 0.9576026797294617 0.0002406196726951748
    1.2.826.0.1.3680043.8.498.42554229239865129388582452007384940238 0.00015435639943461865 0.00010127985297003761 0.00012790423352271318 0.0003766169829759747 0.00020765865338034928 0.0002575237303972244 3.953693885705434e-05 0.009482582099735737 0.10166501998901367 0.9141386151313782 0.00015357599477283657
    1.2.826.0.1.3680043.8.498.73116254946394073203270238889767296567 0.00018192213610745966 0.0004867580719292164 0.0008517345413565636 0.00018571385589893907 0.0007045253296382725 2.9796612579957582e-05 0.010107925161719322 0.013216468505561352 0.03399211913347244 0.9822346568107605 8.061031985562295e-05
    1.2.826.0.1.3680043.8.498.53902480245622869779635379733517321516 0.00014158038538880646 0.00030156373395584524 0.000381072168238461 0.0001699103886494413 0.0004621855332516134 6.274612678680569e-05 0.0019973700400441885 0.005064920522272587 0.01647556573152542 0.9878098368644714 5.0702306907624006e-05
    1.2.826.0.1.3680043.8.498.34846884222791289447233494663723229241 0.0023939639795571566 0.039941009134054184 0.9010628461837769 0.014129526913166046 0.03444598987698555 0.011693112552165985 0.06457184255123138 0.07273641973733902 0.1758669912815094 0.4091547429561615 0.0005482503911480308
    1.2.826.0.1.3680043.8.498.81447060677571461571788717750093413546 0.0003215042524971068 0.0002704579383134842 0.000269944837782532 0.0004594290512613952 0.0005772841395810246 8.025229180930182e-05 0.0008213872206397355 0.05726652592420578 0.3215930461883545 0.47976231575012207 0.0002764148230198771
    1.2.826.0.1.3680043.8.498.37664184246558112106380345216739305406 0.0001622402050998062 0.00020172780205029994 0.0002314005105290562 0.0005984330782666802 0.0002072044153464958 0.0004360864986665547 7.311376975849271e-05 0.013052364811301231 0.014109736308455467 0.9848858118057251 0.00010395019489806145
    1.2.826.0.1.3680043.8.498.63291504745060021129154554816210081302 0.0001356111461063847 0.00016010353283490986 0.0002629109367262572 0.0003091723774559796 0.00024559537996537983 0.0001261921861441806 0.0001435511658200994 0.014777809381484985 0.03139760345220566 0.979580283164978 6.957073492230847e-05
    1.2.826.0.1.3680043.8.498.22734818974671366096729843743087961011 0.0010814048582687974 0.0022389497607946396 0.007769173942506313 0.001620336202904582 0.002023296896368265 0.0013192917685955763 0.0021628201939165592 0.2634194493293762 0.30502212047576904 0.4445439279079437 0.0008060902473516762
    1.2.826.0.1.3680043.8.498.13188803253034711065687998783827302039 0.00015626242384314537 0.00015141177573241293 0.0002593289245851338 0.0003922320029232651 0.00043532130075618625 9.546682122163475e-05 0.000282211578451097 0.008100997656583786 0.015121906995773315 0.9873244166374207 7.023354555713013e-05
    1.2.826.0.1.3680043.8.498.39807697541970898490262137773097176913 0.0005271191475912929 0.0032450042199343443 0.9280915260314941 0.01142558641731739 0.03697744756937027 0.06858199089765549 0.05271570011973381 0.025231141597032547 0.07298586517572403 0.8746099472045898 0.000195608168723993
    1.2.826.0.1.3680043.8.498.35506923850058823244098379341496004439 0.0003103329800069332 0.00022583485406357795 0.0011099192779511213 0.000762900453992188 0.0007043010555207729 0.00021308597933966666 0.00033524486934766173 0.026416663080453873 0.03716367855668068 0.9328738451004028 0.00018372735939919949
    1.2.826.0.1.3680043.8.498.86558554732617162713004950584299211584 0.00034027043147943914 0.00045263604260981083 0.0006995754083618522 0.0007180311367847025 0.0009219790808856487 0.00018558117153588682 0.0019230243051424623 0.06369318068027496 0.702460765838623 0.21500074863433838 0.0003509367525111884
    1.2.826.0.1.3680043.8.498.62302535606041084067537393700995258584 0.0005667565856128931 0.0005455269711092114 0.0007057906477712095 0.0012009806232526898 0.0016573605826124549 0.00019742750737350434 0.0012655605096369982 0.11878164112567902 0.6842420697212219 0.2310623675584793 0.0005149527569301426
    1.2.826.0.1.3680043.8.498.82445708904035890323551624733649288273 0.007131232880055904 0.14941024780273438 0.5752122402191162 0.007166057825088501 0.02749893069267273 0.02113684080541134 0.6744180917739868 0.05979829281568527 0.39515990018844604 0.6741328239440918 0.0033503524027764797
    1.2.826.0.1.3680043.8.498.11273369766045298087562607578377564492 0.0003086646902374923 0.000328042428009212 0.0002743052027653903 0.0003714387712534517 0.00044216038077138364 7.811262912582606e-05 0.0020668008364737034 0.187667578458786 0.389452189207077 0.3556711673736572 0.0003087359364144504
    1.2.826.0.1.3680043.8.498.47471933489721502833529075497715314744 0.0012085346970707178 0.0013766222400590777 0.0009627197869122028 0.0025978742633014917 0.003921697847545147 0.0007939754286780953 0.004089831840246916 0.15944980084896088 0.33189910650253296 0.7092628479003906 0.0020691165700554848
    1.2.826.0.1.3680043.8.498.12770485728885916562600443954963825450 0.00023624424648005515 0.00016516857431270182 0.0002809101715683937 0.0004627966263797134 0.0005086578894406557 9.243618842447177e-05 0.00023831831640563905 0.009087199345231056 0.06809776276350021 0.9379056096076965 0.0001586122962180525
    1.2.826.0.1.3680043.8.498.10252453038296575647170621276117206789 0.0005441635148599744 0.00027346890419721603 0.0003413608646951616 0.0010818683076649904 0.0011607108172029257 0.0003303128760308027 0.0003218424681108445 0.1307753622531891 0.18979065120220184 0.6440954208374023 0.00045429373858496547
    1.2.826.0.1.3680043.8.498.10394625876835734231310354882497588436 0.02087116800248623 0.02025725319981575 0.016725635156035423 0.11494128406047821 0.17056497931480408 0.16144785284996033 0.6819549798965454 0.06072383373975754 0.2481369972229004 0.7042678594589233 0.01358823198825121
    1.2.826.0.1.3680043.8.498.52591514448174239058179923227508209347 0.009196734055876732 0.04827480390667915 0.35833287239074707 0.028178196400403976 0.026477938517928123 0.6409721374511719 0.15722361207008362 0.053812574595212936 0.33936402201652527 0.958657443523407 0.8432781100273132
    1.2.826.0.1.3680043.8.498.72020659655575167686809950427789498265 0.010974226519465446 0.17731709778308868 0.723689615726471 0.012385135516524315 0.037236910313367844 0.2581958472728729 0.6621744632720947 0.05993260070681572 0.40357381105422974 0.7169849872589111 0.008138087578117847
    1.2.826.0.1.3680043.8.498.57342040766638995032582120187182719569 0.00016102500376291573 0.00023488877923227847 0.00029763428028672934 0.0005565491737797856 0.00018656458996701986 0.0009691627928987145 7.934236055007204e-05 0.005658176261931658 0.031049910932779312 0.9832243919372559 0.00014781177742406726
    1.2.826.0.1.3680043.8.498.11622014824320173261930296299129377782 0.0008028167067095637 0.0008254417916759849 0.0008899772656150162 0.003076684894040227 0.0010059427004307508 0.002596199279651046 0.000501719769090414 0.05304388329386711 0.14817826449871063 0.8133590817451477 0.0013938378542661667
    1.2.826.0.1.3680043.8.498.91519135647064417069235789620159142704 0.00013276950630825013 0.00018102469039149582 0.0003320323012303561 0.0002017616352532059 0.00045297775068320334 2.1645651941071264e-05 0.0008401629747822881 0.0050131650641560555 0.04177997261285782 0.9702597856521606 6.522996409330517e-05
    1.2.826.0.1.3680043.8.498.94582938571998355168011669534408198198 0.0003486235218588263 0.0003277765936218202 0.00036601972533389926 0.000541417277418077 0.0005843242397531867 0.0001609177270438522 0.0002621221647132188 0.06335923075675964 0.7115739583969116 0.30182740092277527 0.0003220135404262692
    1.2.826.0.1.3680043.8.498.16207217879797074164579955529375142948 0.0005622105672955513 0.0011656383285298944 0.0008453630725853145 0.0010638529201969504 0.002645401516929269 0.00012290533049963415 0.008610209450125694 0.028503630310297012 0.04562810808420181 0.9711017608642578 0.0003566631057765335
    1.2.826.0.1.3680043.8.498.12100256675018465755509056377902049190 0.001527966232970357 0.001493952819146216 0.002270858036354184 0.0028832722455263138 0.0033088766504079103 0.0015923682367429137 0.0027449203189462423 0.10966255515813828 0.18207690119743347 0.7754548192024231 0.0012000290444120765
    1.2.826.0.1.3680043.8.498.86709316446764710679030910446794990162 0.00021125259809195995 0.00040730982436798513 0.001493177143856883 0.0010726354084908962 0.0009178314357995987 0.00023724576749373227 0.0006985876243561506 0.008550127036869526 0.09679663181304932 0.9611120223999023 0.00012038885324727744
    1.2.826.0.1.3680043.8.498.11559985986143810090677719876536874303 0.003953495528548956 0.003651420818641782 0.005416726693511009 0.049051884561777115 0.08269090950489044 0.6605415940284729 0.27920830249786377 0.0588989332318306 0.31880730390548706 0.39662331342697144 0.001827508443966508
    1.2.826.0.1.3680043.8.498.96091477269186610029768311908024110614 0.0007658643880859017 0.0009627031977288425 0.0007830235990695655 0.0017491331091150641 0.0012098925653845072 0.0011025661369785666 0.00046558561734855175 0.6529094576835632 0.25601157546043396 0.1814931333065033 0.0011318353936076164
    1.2.826.0.1.3680043.8.498.19270679340868332161634914659637608618 0.0002449916792102158 0.00029681180603802204 0.0007085149991326034 0.0006094935233704746 0.0009006685577332973 0.00016272644279524684 0.0004654016229324043 0.010330969467759132 0.035748280584812164 0.9551407098770142 0.00011181247828062624
    1.2.826.0.1.3680043.8.498.21439807567701854594445552903240706039 0.00029527026345022023 0.00021850263874512166 0.0002615234989207238 0.000667325861286372 0.0004355568380560726 0.0005518106045201421 0.00012108278315281495 0.07247445732355118 0.1864817589521408 0.7719763517379761 0.0003641319344751537
    1.2.826.0.1.3680043.8.498.12344680812818276187044589447857436060 0.0003570897679310292 0.0004574183840304613 0.0006575722945854068 0.0008150919456966221 0.0007497702026739717 0.00019409909145906568 0.0005423301481641829 0.019621826708316803 0.13389131426811218 0.9485993385314941 0.0003785397275350988
    1.2.826.0.1.3680043.8.498.39678103052545017137140400347342067295 0.00010099502833327278 9.242956002708524e-05 0.00018559515592642128 0.00021272830781526864 0.00020046268764417619 0.00010195380309596658 8.233469270635396e-05 0.0034865974448621273 0.05059431865811348 0.9561291933059692 5.0066952098859474e-05
    1.2.826.0.1.3680043.8.498.35305564458985211321862683715910097282 0.0006971299881115556 0.0008328506955876946 0.0008085680310614407 0.001855853945016861 0.003456530626863241 0.00045384239638224244 0.004256037063896656 0.0989127904176712 0.7112075686454773 0.27435317635536194 0.0006525227800011635
    1.2.826.0.1.3680043.8.498.19844668088397750964786663865114180035 0.00022256719239521772 0.0001993135520024225 0.0002680336474440992 0.0005487640737555921 0.00026982155395671725 0.00046103651402518153 5.9204856370342895e-05 0.016986001282930374 0.16528061032295227 0.8011042475700378 0.00019744755991268903
    1.2.826.0.1.3680043.8.498.13346946668837083106963835088446471664 0.00043300684774294496 0.0004096415941603482 0.00036664557410404086 0.0005144000751897693 0.0007559742080047727 8.776887989370152e-05 0.0013916600728407502 0.26920175552368164 0.2663646340370178 0.4687500596046448 0.00040212454041466117
    1.2.826.0.1.3680043.8.498.12484158198255164432354761294328200331 0.00044115944183431566 0.0005367746343836188 0.0011366294929757714 0.0005688013625331223 0.0009274998446926475 0.0004216840607114136 0.0007380621391348541 0.09930062294006348 0.3498448133468628 0.6080769896507263 0.0006331598851829767
    1.2.826.0.1.3680043.8.498.44922055395439423034552432634823633037 0.0003349219332449138 0.0003459213185124099 0.0005211237585172057 0.0005716165760532022 0.00047145714052021503 0.0010902793146669865 0.0001773014519130811 0.20052726566791534 0.40929585695266724 0.3923962116241455 0.00040887092472985387
    1.2.826.0.1.3680043.8.498.64427185659356411131814734288573379255 0.00010989648581016809 9.126780787482858e-05 0.00014759416808374226 0.000373553775716573 9.261281229555607e-05 0.00033802245161496103 1.9309447452542372e-05 0.013206775300204754 0.019357850775122643 0.9755691289901733 8.091112977126613e-05
    1.2.826.0.1.3680043.8.498.93024023747725943551217908556349855873 0.0003528264060150832 0.00028007023502141237 0.00033195593277923763 0.0007281501893885434 0.0011173514649271965 7.402870687656105e-05 0.0006358184618875384 0.016379347071051598 0.19982470571994781 0.7663692235946655 0.00023584827431477606
    1.2.826.0.1.3680043.8.498.12997967285267298029343750716140348685 0.0004319803265389055 0.0005337295588105917 0.0006999944453127682 0.0006614290177822113 0.0008448708103969693 7.740666478639469e-05 0.0011794392485171556 0.025695035234093666 0.14984460175037384 0.8637180328369141 0.0002726879611145705
    1.2.826.0.1.3680043.8.498.56148598582826576725921748154321506738 0.0004656504315789789 0.0005528017645701766 0.0011945147998631 0.0012010118225589395 0.0013893800787627697 0.0018481094157323241 0.0007943155942484736 0.03377234935760498 0.03640703856945038 0.9557636380195618 0.00032540515530854464
    1.2.826.0.1.3680043.8.498.74362126487598363577250458759145544272 0.0011869216104969382 0.007739545311778784 0.9879970550537109 0.034898541867733 0.03366146236658096 0.24436727166175842 0.014509719796478748 0.1379975974559784 0.3002559542655945 0.5057921409606934 0.003959842957556248
    1.2.826.0.1.3680043.8.498.46473506628030604055402661523806689361 0.00039495303644798696 0.0006187815451994538 0.0007589521119371057 0.0004505258402787149 0.000761000846978277 0.00020624851458705962 0.0009931556414812803 0.12836875021457672 0.6323674917221069 0.3578399121761322 0.0004935491597279906
    1.2.826.0.1.3680043.8.498.17550967334444454607710276070001911284 0.0002314714074600488 0.0006769890896975994 0.0007149243610911071 0.0003174844605382532 0.0006896481500007212 5.0399714382365346e-05 0.036577753722667694 0.0082919392734766 0.030366143211722374 0.9797155261039734 0.00023259878798853606
    1.2.826.0.1.3680043.8.498.66167288435973997831016244834077661371 0.00017627867055125535 0.00018254041788168252 0.000249393138801679 0.00033144003828056157 0.00017612340161576867 0.00026169675402343273 0.00010864291107282043 0.08724816888570786 0.0972777009010315 0.8375094532966614 0.00020533849601633847
    1.2.826.0.1.3680043.8.498.43013569939786880003442973979153008945 0.0005689555546268821 0.000842453446239233 0.0007065635290928185 0.0005300486227497458 0.0009696182096377015 7.412364357151091e-05 0.0070928060449659824 0.13815012574195862 0.22919747233390808 0.8190558552742004 0.14667871594429016
    1.2.826.0.1.3680043.8.498.78536825360170373614421292221715504639 0.02803250215947628 0.2325447052717209 0.7436705827713013 0.07218049466609955 0.0935126394033432 0.33224034309387207 0.3409190773963928 0.11477098613977432 0.32957980036735535 0.5460642576217651 0.07706382125616074
    1.2.826.0.1.3680043.8.498.37453616577388128310784651017007617717 0.002783931093290448 0.0029015655163675547 0.0034910712856799364 0.01165713369846344 0.0324920192360878 0.0172265712171793 0.08408170193433762 0.13434191048145294 0.16309863328933716 0.4689304828643799 0.001259610871784389
    1.2.826.0.1.3680043.8.498.11176643606244862146461293172386877171 0.00027276010951027274 0.0004109440778847784 0.00028483651112765074 0.00019762825104407966 0.0005002252291887999 1.9522067304933444e-05 0.0024376430083066225 0.19767817854881287 0.2874472141265869 0.5547096133232117 0.00034079959732480347
    1.2.826.0.1.3680043.8.498.29240373431162912150593136537605726034 0.00025073689175769687 0.00043865767656825483 0.0009811051422730088 0.00039507512701675296 0.0007814817945472896 0.0009209964191541076 0.011474314145743847 0.020647715777158737 0.113058902323246 0.8957616686820984 0.0002838681102730334
    1.2.826.0.1.3680043.8.498.13276096246414768869185613278320392124 0.0002238662855233997 0.00022296867973636836 0.0003696323256008327 0.0006962703191675246 0.0002481264527887106 0.0012181508354842663 4.179562893114053e-05 0.10177773237228394 0.4325005114078522 0.5105057954788208 0.001716997125186026
    1.2.826.0.1.3680043.8.498.84752568235853065774998761245012702221 0.0005004723789170384 0.0004221164563205093 0.00029145978624001145 0.0006531308172270656 0.0005955543019808829 0.00016534396854694933 0.0005794667522422969 0.15595532953739166 0.18489761650562286 0.7380791306495667 0.0004754020774271339
    1.2.826.0.1.3680043.8.498.92974781750931345414423741887608878203 0.00039826525608077645 0.0003718954394571483 0.0005680964095517993 0.0006363297579810023 0.0009068159270100296 8.66956906975247e-05 0.0015181152848526835 0.030132979154586792 0.18604344129562378 0.8354908227920532 0.0003400052373763174
    1.2.826.0.1.3680043.8.498.43562669044010434450885673602604603293 0.0002740323543548584 0.0003021717711817473 0.00035003258381038904 0.0004992788308300078 0.0005720836925320327 0.0001573963527334854 0.00034014577977359295 0.019839663058519363 0.30150848627090454 0.6932953000068665 0.0004964935942552984
    1.2.826.0.1.3680043.8.498.86172362740023702518684931030445400417 0.00017108724568970501 0.00024818486417643726 0.0007111547165550292 0.0016956866020336747 0.0011423405958339572 0.0046914117410779 0.0008160628494806588 0.002593438606709242 0.004837661050260067 0.996588408946991 5.6082782975863665e-05
    1.2.826.0.1.3680043.8.498.35333194634394533387054024878923153754 0.004236294887959957 0.22205622494220734 0.7427846789360046 0.00402636406943202 0.02527683414518833 0.005912010557949543 0.9749543070793152 0.07067956030368805 0.2313651591539383 0.12460847198963165 0.0005880171665921807
    1.2.826.0.1.3680043.8.498.10414089062124586705166529415704909147 0.00041863220394589007 0.00032897142227739096 0.0007819175953045487 0.0008834552718326449 0.001138727180659771 0.00021482794545590878 0.0005182762979529798 0.013905705884099007 0.04485435411334038 0.9517218470573425 0.0002476067456882447
    1.2.826.0.1.3680043.8.498.11576829911558919422257151121489313794 0.00012508968939073384 0.00015672508743591607 0.0001643832219997421 0.00016690650954842567 0.00023921366664581 6.250691512832418e-05 0.00019609599257819355 0.03569100424647331 0.6502370238304138 0.44738975167274475 0.00012020485883112997
    1.2.826.0.1.3680043.8.498.13311511216969411270544259032479836696 0.00018797212396748364 0.00028750364435836673 0.0002068125904770568 0.0001761195744620636 0.0003033277462236583 2.0318655515438877e-05 0.003495746525004506 0.01658511534333229 0.1029030904173851 0.9183168411254883 0.00023941535619087517
    1.2.826.0.1.3680043.8.498.18608522036598347932973544763257020275 0.00030709299608133733 0.00033750460715964437 0.00047878012992441654 0.0005306772072799504 0.0005330519052222371 0.00011399968207115307 0.0003475256380625069 0.039959441870450974 0.3183843791484833 0.6109038591384888 0.0002495779481250793
    1.2.826.0.1.3680043.8.498.36911040859265206393856171363524176671 0.00036087309126742184 0.005905073136091232 0.9959185719490051 0.012454952113330364 0.04407775402069092 0.36264386773109436 0.138297438621521 0.006993187125772238 0.10605338960886002 0.9896394610404968 0.0026839631609618664
    1.2.826.0.1.3680043.8.498.93963594343020980998762188430265660914 0.012042148038744926 0.2684088349342346 0.44901561737060547 0.00935647077858448 0.06606514751911163 0.001768222777172923 0.9561346769332886 0.02918015792965889 0.13548021018505096 0.8801811933517456 0.002922806888818741
    1.2.826.0.1.3680043.8.498.11753306947939350617311296530681088945 0.00021034824021626264 0.00012615809100680053 0.00015148473903536797 0.0003219619975425303 0.0005386910634115338 2.2285617887973785e-05 0.00023562161368317902 0.06504497677087784 0.09692732989788055 0.8567354083061218 0.00015907306806184351
    1.2.826.0.1.3680043.8.498.97313310055637312543554638786180301951 0.0002960916026495397 0.0004425900988280773 0.0006515677669085562 0.0007970848819240928 0.00022628011356573552 0.0014446424320340157 7.130462472559884e-05 0.18471507728099823 0.44214844703674316 0.38033050298690796 0.00036470984923653305
    1.2.826.0.1.3680043.8.498.11185091906754863353214699002551392323 0.023106133565306664 0.15828952193260193 0.09633328020572662 0.028407786041498184 0.0574076883494854 0.025357667356729507 0.7169113159179688 0.05780188366770744 0.23747475445270538 0.8445083498954773 0.11881649494171143
    1.2.826.0.1.3680043.8.498.11646069817072680822029554778091103791 0.0003289336455054581 0.0003349006292410195 0.00045406841672956944 0.0005431226454675198 0.0005544349551200867 0.00032067735446617007 0.0002680498582776636 0.09747850894927979 0.2092776745557785 0.6949225664138794 0.0003466023481450975
    1.2.826.0.1.3680043.8.498.72581474472424447833880350892305738518 0.0002407892607152462 0.00018452524091117084 0.00036849762545898557 0.0004170063475612551 0.000610417453572154 5.264399078441784e-05 0.0003828879271168262 0.007186560425907373 0.03231457620859146 0.9771744012832642 0.00011556797835510224
    1.2.826.0.1.3680043.8.498.10726665975239735254938730137871621268 0.00020009705622214824 0.00015508659998886287 0.00020757937454618514 0.00028366813785396516 0.0004598544037435204 4.54977634944953e-05 0.0001928768469952047 0.012158673256635666 0.10165432840585709 0.9192022085189819 0.00012229291314724833
    1.2.826.0.1.3680043.8.498.77238942576222870686792946369682691393 0.004560781177133322 0.01973060704767704 0.01676219142973423 0.014584502205252647 0.06936919689178467 0.01807226426899433 0.859631359577179 0.025620272383093834 0.06974239647388458 0.954208254814148 0.0022099060006439686
    1.2.826.0.1.3680043.8.498.46663352667529095355088039808259604316 0.000983942998573184 0.0013612083857879043 0.0017253179103136063 0.004451246000826359 0.0021745474077761173 0.013154132291674614 0.0012185107916593552 0.11384530365467072 0.10477117449045181 0.7324619889259338 0.0008058982202783227
    1.2.826.0.1.3680043.8.498.21076122798032184023569197388470103957 0.00033241877099499106 0.0007253894000314176 0.0008269425597973168 0.0005372202722355723 0.0007636342779733241 0.00017349558765999973 0.0011561668943613768 0.015809843316674232 0.09046546369791031 0.9632436037063599 0.00015436342800967395
    1.2.826.0.1.3680043.8.498.32087477425877235279764120295631564359 0.0005222792970016599 0.000548912794329226 0.0007194752106443048 0.0011423234827816486 0.0016480553895235062 0.0005474326899275184 0.001278175855986774 0.025737568736076355 0.25318002700805664 0.8618159294128418 0.000515040650498122
    1.2.826.0.1.3680043.8.498.10325045334108102601902444725861934829 0.00015265759429894388 0.00016299619164783508 0.00038961207610554993 0.0003942281473428011 0.0003145790833514184 0.00021330604795366526 0.000129810199723579 0.01162414439022541 0.015928559005260468 0.9864622950553894 7.634541543666273e-05
    1.2.826.0.1.3680043.8.498.35488088271726040264394550805343540630 0.0003130332916043699 0.0002306856185896322 0.0002698018797673285 0.0004751998058054596 0.000445978861534968 0.00023231201339513063 0.00016089514247141778 0.01722826063632965 0.0999222919344902 0.9038332104682922 0.00023768245591782033
    1.2.826.0.1.3680043.8.498.99393110088421250425561258619284886160 0.0005222215550020337 0.0005558067932724953 0.0006756616639904678 0.0008121170103549957 0.0009236452169716358 0.00018904833996202797 0.0006361068226397038 0.06824696063995361 0.45345941185951233 0.5768330693244934 0.0005009488086216152
    1.2.826.0.1.3680043.8.498.49314923264611935210261413080579407144 0.008848773315548897 0.046523235738277435 0.04267466068267822 0.025485370308160782 0.04806969687342644 0.39312005043029785 0.42955294251441956 0.023665977641940117 0.14392974972724915 0.9111407995223999 0.012726624496281147
    1.2.826.0.1.3680043.8.498.39071387481077539328594240777334124213 0.00026061682729050517 0.0002656690194271505 0.0003166587557643652 0.00046773478970862925 0.0006894054240547121 8.527244062861428e-05 0.00046180468052625656 0.007080803159624338 0.10415531694889069 0.8752814531326294 0.00013296768884174526
    1.2.826.0.1.3680043.8.498.28285351801293587432641282755390375560 0.0005810349830426276 0.0009236758342012763 0.0015172644052654505 0.004219923634082079 0.0009676787885837257 0.021969083696603775 0.0004671378992497921 0.11449179798364639 0.29107221961021423 0.47943511605262756 0.0008176396368071437
    1.2.826.0.1.3680043.8.498.11360217878706781371340326586612680282 0.00014020777598489076 9.796646190807223e-05 0.00029280767193995416 0.0004694255185313523 0.000375776959117502 0.00020855847105849534 0.00017088832100853324 0.017594197764992714 0.05518268421292305 0.8960339426994324 0.0001210339687531814
    1.2.826.0.1.3680043.8.498.12036786061429315515007401412076748408 0.0002917818201240152 0.0002283536159666255 0.0003161659406032413 0.0006497733993455768 0.0006560201290994883 0.00010764162288978696 0.00023436716583091766 0.025284666568040848 0.1809333860874176 0.7773696184158325 0.00020776366000063717
    1.2.826.0.1.3680043.8.498.32985782322665777497128654680340079232 0.00018234961316920817 0.0001342728646704927 0.00018810589972417802 0.00042300764471292496 0.000603586551733315 2.9391085263341665e-05 0.00038404640508815646 0.006111049093306065 0.036525219678878784 0.9763126373291016 0.00011256500147283077
    1.2.826.0.1.3680043.8.498.25669038189104154137333305937054531145 0.00045136938570067286 0.0013000647304579616 0.0006823303992860019 0.00024259110796265304 0.0006348861497826874 5.320300260791555e-05 0.04563542827963829 0.07650236040353775 0.2989922761917114 0.7801293134689331 0.0010750979417935014
    1.2.826.0.1.3680043.8.498.88575116787867644985322693723721835759 6.320480315480381e-05 4.625953079084866e-05 0.00023186267935670912 0.00021063144959043711 0.00014422360982280225 0.00014190575166139752 4.254570376360789e-05 0.005342892371118069 0.04138080030679703 0.9565567970275879 4.991309833712876e-05
    1.2.826.0.1.3680043.8.498.11451894872725859629244706522518433895 0.00024624966317787766 0.0004441844648681581 0.0006596680032089353 0.0005987867480143905 0.0006021730951033533 0.00029357787570916116 0.006951951887458563 0.011903425678610802 0.05068681389093399 0.9687871932983398 0.0002871374599635601
    1.2.826.0.1.3680043.8.498.28221185728074145555488762221897861469 0.00012313951447140425 0.00017065789143089205 0.0002635459240991622 0.0001630830083740875 0.00028211428434588015 2.4933589884312823e-05 0.00036606352659873664 0.0053613572381436825 0.022755060344934464 0.9828575849533081 4.9654867325443774e-05
    1.2.826.0.1.3680043.8.498.10604577768832031318001142152785646480 0.024033304303884506 0.07147860527038574 0.02995135821402073 0.05504678934812546 0.12062124162912369 0.08762730658054352 0.7983072996139526 0.17726624011993408 0.3945561349391937 0.6400812864303589 0.011599062010645866
    1.2.826.0.1.3680043.8.498.60578635006562077450404657848263918416 0.0001602624834049493 0.00012149275426054373 0.0002410177403362468 0.00022042787168174982 0.0002841415989678353 3.785285662161186e-05 0.0005293939611874521 0.018113654106855392 0.08671233803033829 0.8843550682067871 0.00011612713569775224
    1.2.826.0.1.3680043.8.498.10328286091801520986032242222579294370 0.00015247940609697253 0.00010481404751772061 0.0001294630637858063 0.00027803477132692933 0.00033973302925005555 5.779511411674321e-05 0.00015578712918795645 0.025387108325958252 0.17196714878082275 0.8379624485969543 0.00013465393567457795
    1.2.826.0.1.3680043.8.498.44799910488368958139943108965710187649 0.00025073630968108773 0.00017243961337953806 0.00013478650362230837 0.0004131052701268345 0.000560477958060801 9.922789467964321e-05 0.00035598696558736265 0.36749786138534546 0.41937869787216187 0.20005054771900177 0.0004579861997626722
    1.2.826.0.1.3680043.8.498.11429559955352782016871268531616560534 0.000285717862425372 0.00025564918178133667 0.00025443691993132234 0.0005093920626677573 0.0006502055330201983 6.64441758999601e-05 0.00038884597597643733 0.017980650067329407 0.2895788848400116 0.7467758059501648 0.0002593096869532019
    1.2.826.0.1.3680043.8.498.48151807899678261367184152619599757114 0.0001812125847209245 0.00015474171959795058 0.00024598254822194576 0.0003291563189122826 0.0003820490965154022 8.921927656047046e-05 0.00028196341008879244 0.025681406259536743 0.6377448439598083 0.4715596139431 0.00016169031732715666
    1.2.826.0.1.3680043.8.498.17600818411534518932416454260357523161 7.996145723154768e-05 5.1932780479546636e-05 5.4962099966360256e-05 0.0001188052847282961 0.00010778200521599501 5.170375879970379e-05 7.004846702329814e-05 0.0048193372786045074 0.04727856442332268 0.9553772211074829 4.160630123806186e-05
    1.2.826.0.1.3680043.8.498.32730788241721863628181438514509146982 0.00021260196808725595 0.00021535316773224622 0.00026578508550301194 0.0002883390989154577 0.0003248170833103359 0.00022456259466707706 0.00015363239799626172 0.01948831044137478 0.1927030384540558 0.8492107391357422 0.0001610929029993713
    1.2.826.0.1.3680043.8.498.89476854250675277800733921437575713205 0.00014347807154990733 0.000273185403784737 0.0003174755838699639 0.0001416729501215741 0.00022653094492852688 1.4341401765705086e-05 0.006510037928819656 0.007364834193140268 0.07388491183519363 0.9669605493545532 8.594646351411939e-05
    1.2.826.0.1.3680043.8.498.12042330706375633022593096621707007622 0.0007365339552052319 0.0005878105876035988 0.0004532901511993259 0.001457243226468563 0.0018625345546752214 0.00021613153512589633 0.0005106782773509622 0.1676340401172638 0.26032716035842896 0.7169173359870911 0.0009045318583957851
    1.2.826.0.1.3680043.8.498.57206165286381850725656713655646300498 0.0003855934482999146 0.0002500177943147719 0.0003647086559794843 0.0008026432478800416 0.0007150783785618842 0.0005881068645976484 0.0001360894093522802 0.027860883623361588 0.24441316723823547 0.7662640810012817 0.00026793748838827014
    1.2.826.0.1.3680043.8.498.10083153901685246527641492830580576663 0.00029672670643776655 0.00018590301624499261 0.00019855280697811395 0.0005552997463382781 0.0005726291565224528 0.00010378430306445807 0.0002074146905215457 0.014316442422568798 0.26017266511917114 0.8476974368095398 0.00023646396584808826
    1.2.826.0.1.3680043.8.498.15104525238395046861331781683026823348 0.0001664263691054657 0.0003088655066676438 0.0002660955651663244 0.00035473081516101956 0.0001656095846556127 0.00031478150049224496 9.780975233297795e-05 0.04106668382883072 0.11359162628650665 0.9453676342964172 0.0001242065045516938
    1.2.826.0.1.3680043.8.498.11111284914110625917031946425622785895 0.0005070046754553914 0.00044612796045839787 0.0004672348441090435 0.0008447797154076397 0.0012714739423245192 0.00010700261918827891 0.0005234511918388307 0.03299781307578087 0.2915002703666687 0.6889070868492126 0.00034599489299580455
    1.2.826.0.1.3680043.8.498.46126717408058048147281334894626242347 0.00019009776588063687 0.0001482852821936831 0.0002449332387186587 0.0002712128625717014 0.00036276859464123845 3.557833406375721e-05 0.00020850934379268438 0.008499362505972385 0.08693613111972809 0.9346694946289062 0.00011284127685939893
    1.2.826.0.1.3680043.8.498.12750738740081543862485338972143318513 0.0007813113043084741 0.0016276687383651733 0.004276140592992306 0.005258818622678518 0.0017159454291686416 0.03218160569667816 0.0009078590082935989 0.050578974187374115 0.21679508686065674 0.8778579831123352 0.0016992544988170266
    1.2.826.0.1.3680043.8.498.92751570536390141677278586447316932952 0.0005343066295608878 0.00039186389767564833 0.0003907950595021248 0.0011115678353235126 0.0008166374755091965 0.0004587938019540161 0.0004793477710336447 0.06464395672082901 0.42765840888023376 0.5801300406455994 0.0005498727550730109
    1.2.826.0.1.3680043.8.498.12501370792053091948436419206802392924 0.0002374887262703851 0.00023832327860873193 0.0002404099068371579 0.0004101045778952539 0.0003182504151482135 0.00039253864088095725 0.0002626319765113294 0.026305492967367172 0.10880213975906372 0.870247483253479 0.00014997043763287365
    1.2.826.0.1.3680043.8.498.83583680098590486200222772589764568931 0.00018823836580850184 0.00016108715499285609 0.00018576180445961654 0.00047451318823732436 0.00022120712674222887 0.00020726044022012502 9.447566844755784e-05 0.01988678239285946 0.027541231364011765 0.9684432744979858 9.246774425264448e-05
    1.2.826.0.1.3680043.8.498.10221482768849378762129382265097606912 0.0016405390342697501 0.042518727481365204 0.9586812257766724 0.004228156991302967 0.03522179275751114 0.02469515986740589 0.8371658325195312 0.015994172543287277 0.215876966714859 0.9642637968063354 0.0013749022036790848
    1.2.826.0.1.3680043.8.498.50343665843327713737164908164227922128 0.00028772527002729475 0.00024901790311560035 0.00017765333177521825 0.00039299315540120006 0.00047770602395758033 9.721742389956489e-05 0.0002972162328660488 0.026733484119176865 0.11627547442913055 0.855700671672821 0.00025142121012322605
    1.2.826.0.1.3680043.8.498.71447768245158611955648040999024658373 0.00014151123468764126 8.088837785180658e-05 0.00014964364527259022 0.0002976229297928512 0.00021484112949110568 0.0001663313014432788 5.817211786052212e-05 0.03298468887805939 0.18501457571983337 0.7874851822853088 0.00015123249613679945
    1.2.826.0.1.3680043.8.498.12258642276906100036355355208049084610 0.00011993398948106915 0.0002437211078358814 0.000421928329160437 0.0006564699579030275 0.00010506071703275666 0.0025639194063842297 3.0417653761105612e-05 0.018315155059099197 0.046176668256521225 0.9681480526924133 0.00015988663653843105
    1.2.826.0.1.3680043.8.498.45803820629789128457795511282942483249 0.0010578390210866928 0.0020358844194561243 0.009158819913864136 0.004316513426601887 0.005811731331050396 0.004167093895375729 0.011212718673050404 0.12779217958450317 0.36566561460494995 0.7922086119651794 0.0013747990597039461
    1.2.826.0.1.3680043.8.498.74197460151444526037653984189846259088 0.0015698813367635012 0.002615035977214575 0.003689086064696312 0.0048890495672822 0.01305678766220808 0.003388169687241316 0.025777405127882957 0.019632715731859207 0.03262368589639664 0.9779965281486511 0.000856115308124572
    1.2.826.0.1.3680043.8.498.99150744275093769670803804166255262644 0.00038288667565211654 0.00031723646679893136 0.0005877760704606771 0.00071420130552724 0.0008052748744376004 0.0003496376739349216 0.0005094671505503356 0.023823369294404984 0.05256396532058716 0.9319213032722473 0.00018934030958916992
    1.2.826.0.1.3680043.8.498.11521036304886150980539392385517222499 0.007822292856872082 0.007736066821962595 0.007290626876056194 0.041614823043346405 0.07168544083833694 0.3651295602321625 0.506843090057373 0.05920635536313057 0.28941720724105835 0.5804430246353149 0.005909288767725229
    1.2.826.0.1.3680043.8.498.56322287897779892153258134745531746816 0.0003446897317189723 0.0006189161795191467 0.0011026420397683978 0.0008260544273070991 0.0006271224119700491 0.00216768984682858 0.00045800075167790055 0.19607797265052795 0.382283478975296 0.5946505665779114 0.0006090841488912702
    1.2.826.0.1.3680043.8.498.43865422761892279930318058407965765067 0.00020191760268062353 0.00021681396174244583 0.0001628709869692102 0.0002756516041699797 0.00028948154067620635 9.184571536025032e-05 0.00015970165259204805 0.021470271050930023 0.16050021350383759 0.896209716796875 0.00012301959213800728
    1.2.826.0.1.3680043.8.498.73879411287154099177603587848236400853 0.0009591929847374558 0.0013832382392138243 0.0015036535914987326 0.0019055387238040566 0.0029608074110001326 0.000264469301328063 0.003727460978552699 0.13805508613586426 0.21977069973945618 0.7046406865119934 0.000965788378380239
    1.2.826.0.1.3680043.8.498.33370865676479584159641422185023062428 4.9002461310010403e-05 0.0002205166092608124 0.0006245419499464333 0.00035105281858704984 9.088274964597076e-05 0.0013953312300145626 2.3881959350546822e-05 0.008842084556818008 0.12223534286022186 0.98121577501297 7.24572892067954e-05
    1.2.826.0.1.3680043.8.498.11745172752183525042853150884696155901 0.00025078930775634944 0.00024413659411948174 0.00028052012203261256 0.0005785079556517303 0.0002765218378044665 0.0007671582279726863 5.86598071095068e-05 0.02239883318543434 0.11876096576452255 0.8846017122268677 0.0002882711705751717
    1.2.826.0.1.3680043.8.498.37001655390677424079965894736837291660 0.03440022096037865 0.1731044501066208 0.44353169202804565 0.05722285062074661 0.05769895389676094 0.09489502012729645 0.1596624106168747 0.21299532055854797 0.3770511746406555 0.46842947602272034 0.014715313911437988
    1.2.826.0.1.3680043.8.498.11837143773950918772955536670120813786 0.00017545926675666124 9.63806887739338e-05 0.000163174670888111 0.0005014362395741045 0.0003664915566332638 0.0001651234197197482 9.054195834323764e-05 0.005667899735271931 0.02544865570962429 0.9783861041069031 0.00010491393186384812
    1.2.826.0.1.3680043.8.498.90905988566403989293130393773724114640 0.0003752511111088097 0.0002230710379080847 0.00037300330586731434 0.0006341587868519127 0.0008143167942762375 0.00010247518366668373 0.0002350475697312504 0.020057549700140953 0.21002404391765594 0.801895022392273 0.0002795492473524064
    1.2.826.0.1.3680043.8.498.12558498120935999952652657390879455125 0.003784162225201726 0.2082841694355011 0.7621412873268127 0.0016239903634414077 0.012052929028868675 0.012662696652114391 0.991520881652832 0.3351365029811859 0.44434016942977905 0.7265604734420776 0.012021719478070736
    1.2.826.0.1.3680043.8.498.13231993032641949963256899114386927839 0.00095414521638304 0.0017585657769814134 0.003525716485455632 0.003834489034488797 0.0009194983285851777 0.013289472088217735 0.00019310697098262608 0.0908571407198906 0.12496991455554962 0.8255292773246765 0.0016971478471532464
    1.2.826.0.1.3680043.8.498.72313967772006402454089157383236220640 0.00032270600786432624 0.00030665789381600916 0.00034606578992679715 0.0005496948142535985 0.000528117991052568 0.0003791807102970779 0.00020024212426505983 0.04371184855699539 0.3362584710121155 0.6085899472236633 0.00029915818595327437
    1.2.826.0.1.3680043.8.498.20833329924673886324712525643870149451 0.0017274729907512665 0.0009637238690629601 0.0007002166239544749 0.005308535415679216 0.009962761774659157 0.003967843484133482 0.012126987800002098 0.19996468722820282 0.07728230208158493 0.7263686656951904 0.0007692474755458534
    1.2.826.0.1.3680043.8.498.46558632298084556906902340427746537804 0.00030116058769635856 0.00030945907928980887 0.0005942804855294526 0.0008288089884445071 0.0012313990155234933 0.0008823153330013156 0.0016212232876569033 0.029643680900335312 0.03988208249211311 0.9601214528083801 0.00021957428543828428
    1.2.826.0.1.3680043.8.498.11050881400704789327743073547704972383 0.0007242896826937795 0.0015442298026755452 0.001635372987948358 0.0008136396063491702 0.0017434528563171625 8.711947884876281e-05 0.012364154681563377 0.32899317145347595 0.3412693440914154 0.5537844896316528 0.001280380180105567
    1.2.826.0.1.3680043.8.498.72833013187500928255842602362842812275 0.0007784952176734805 0.001345939002931118 0.0014840798685327172 0.0015706183621659875 0.0019258897518739104 0.0008103838190436363 0.011677742004394531 0.006821811199188232 0.03389189392328262 0.9872409701347351 0.000536084349732846
    1.2.826.0.1.3680043.8.498.99412815373311459312481062375031275025 0.00033897534012794495 0.00029381742933765054 0.00037147183320485055 0.0006779778050258756 0.0005702095222659409 0.00017948460299521685 0.0004860396438743919 0.047690026462078094 0.23697996139526367 0.7400687336921692 0.0004062349325977266
    1.2.826.0.1.3680043.8.498.30577580838607953936007407453738439153 0.0005878556985408068 0.0006882579764351249 0.0005829643923789263 0.0009647418628446758 0.001123922411352396 0.00015484461619053036 0.0009282116079702973 0.17294888198375702 0.5770691633224487 0.3098262846469879 0.0005481882253661752
    1.2.826.0.1.3680043.8.498.12235886308197673055360207938812860049 0.0002889223687816411 0.00036135222762823105 0.0003143225039821118 0.0005556466639973223 6.136404408607632e-05 0.0006473905523307621 0.02522321045398712 0.22259366512298584 0.8645161390304565 0.0002037600352196023
    1.2.826.0.1.3680043.8.498.11889492012419902215607183081769994511 0.00018856328097172081 0.0002677174925338477 0.0003454473917372525 0.0001885376696009189 0.0003714227641467005 4.076632467331365e-05 0.0018012821674346924 0.023418691009283066 0.062208037823438644 0.8931018114089966 0.00010631666373228654
    1.2.826.0.1.3680043.8.498.80900098995492180440052120030407516893 0.00016401975881308317 9.977839363273233e-05 0.00016874235006980598 0.00023444175894837826 0.00026088248705491424 5.570630310103297e-05 0.00013840133033227175 0.019365746527910233 0.22438398003578186 0.767706573009491 0.0001597641676198691
    1.2.826.0.1.3680043.8.498.91036976661798040026754845818178835330 0.00035247678169980645 0.0002250964316772297 0.00029128891765139997 0.0008192550158128142 0.000953276758082211 0.00021276072948239744 0.00029120180988684297 0.023768220096826553 0.31617334485054016 0.7141085267066956 0.0002843269321601838
    1.2.826.0.1.3680043.8.498.42250770553546249306160581037785755528 0.0016669391188770533 0.007468408904969692 0.012704518623650074 0.001812387490645051 0.003784841625019908 0.0011206106282770634 0.28685134649276733 0.029317617416381836 0.12250600755214691 0.9054394960403442 0.0014282569754868746
    1.2.826.0.1.3680043.8.498.93522227160422350221925949904720214546 0.00030277681071311235 0.0003429151838645339 0.0003534785355441272 0.0010066234972327948 0.00035976909566670656 0.0009644275414757431 0.00012221837823744863 0.0159321129322052 0.09980153292417526 0.9270488023757935 0.0003855257236864418
    1.2.826.0.1.3680043.8.498.25061605764875675910483059774385101951 9.983483323594555e-05 0.00011112878564745188 0.00019040083861909807 0.0002318423066753894 0.00011559668928384781 0.00021494828979484737 5.091340426588431e-05 0.015567739494144917 0.044483963400125504 0.9581983685493469 7.334400288527831e-05
    1.2.826.0.1.3680043.8.498.33161500843130082322852234547182595693 0.00027843928546644747 0.00016709123156033456 0.00044691344373859465 0.0006506717181764543 0.0008072271011769772 0.0001082896051229909 0.002159693744033575 0.012343273498117924 0.07831479609012604 0.8948451280593872 0.0002102022699546069
    1.2.826.0.1.3680043.8.498.33724117323927704275962948206148212041 0.0013387920334935188 0.032169874757528305 0.8315213322639465 0.022040676325559616 0.01782940700650215 0.47544974088668823 0.02452744171023369 0.011457615531980991 0.04124588146805763 0.9805755615234375 0.0007190627511590719
    1.2.826.0.1.3680043.8.498.11672087707749371172751755328336014835 0.0002624687913339585 0.0003611801075749099 0.0003026167687494308 0.00041619635885581374 0.0006101195467635989 6.957721780054271e-05 0.0015653891023248434 0.013466211035847664 0.018380863592028618 0.9820988774299622 0.00010847513476619497
    1.2.826.0.1.3680043.8.498.22298932819352925766951583557336794760 0.0017278094310313463 0.0024043770972639322 0.007394853979349136 0.010836399160325527 0.010974274948239326 0.03238924592733383 0.031238261610269547 0.03953096643090248 0.26857030391693115 0.8533515930175781 0.001323228469118476
    1.2.826.0.1.3680043.8.498.77373458814382386440039217157694834385 0.0001777462603058666 0.00013637085794471204 0.0001729329233057797 0.0006341743865050375 0.0003362555580679327 0.0004189101164229214 0.00015016354154795408 0.8785390853881836 0.03692493960261345 0.25403350591659546 0.000245827657636255
    1.2.826.0.1.3680043.8.498.87147687338666286468764368547835848948 0.00015831812925171107 0.00016750165377743542 0.00028867641231045127 0.00048420127131976187 0.00021535358973778784 0.0003880418953485787 5.9161626268178225e-05 0.016500631347298622 0.02676323428750038 0.9758776426315308 0.00010171616304432973
    1.2.826.0.1.3680043.8.498.10115347911690169467165345520668951083 0.0024803460109978914 0.03246565908193588 0.6234198808670044 0.013819496147334576 0.03624098375439644 0.00530573446303606 0.2249010056257248 0.09963937103748322 0.29660409688949585 0.24558153748512268 0.0007042677607387304
    1.2.826.0.1.3680043.8.498.12998308687143493405390965588935261911 0.0004347669018898159 0.00025324750458821654 0.00035165291046723723 0.0006390053895302117 0.0006544155185110867 0.0003124341310467571 0.00016706556198187172 0.1097661480307579 0.3344324231147766 0.5383941531181335 0.0005023943958804011
    1.2.826.0.1.3680043.8.498.10516889035520033288078256922580221537 0.0005460792453959584 0.0007590336026623845 0.0013944857055321336 0.0010150732705369592 0.001642941264435649 0.0005503868451341987 0.00371875474229455 0.021564697846770287 0.08040893077850342 0.9519978761672974 0.0010549745056778193
    1.2.826.0.1.3680043.8.498.18004204186275540498682803049416331851 0.0038072753231972456 0.008096368052065372 0.0166308730840683 0.05246293544769287 0.03247764706611633 0.6057461500167847 0.05417365953326225 0.03718390688300133 0.20580673217773438 0.8474990129470825 0.006319431122392416
    1.2.826.0.1.3680043.8.498.10550348404694084471866062505908016394 0.04684671759605408 0.3755856156349182 0.4746676981449127 0.06585400551557541 0.11078876256942749 0.07444045692682266 0.5463359951972961 0.03237906098365784 0.280295193195343 0.8643622398376465 0.006851541809737682
    1.2.826.0.1.3680043.8.498.10538347035936083388989316409436958107 0.000253076694207266 0.0002969291526824236 0.00047618040116503835 0.0007681618444621563 0.00041867318213917315 0.0005371051374822855 0.00012191740097478032 0.006492661777883768 0.04589546471834183 0.9606577754020691 0.00012027261254843324
    1.2.826.0.1.3680043.8.498.57834012693785436519145981980817232427 0.00016062161012087017 0.00020443608809728175 0.00033677255851216614 0.000277761893812567 0.0004788550140801817 2.6985031581716612e-05 0.0009140332113020122 0.013262452557682991 0.022983292117714882 0.980981707572937 6.712069443892688e-05
    1.2.826.0.1.3680043.8.498.61149856894108574433212979318644731522 0.0012645599199458957 0.0008500595577061176 0.0008486089063808322 0.00187875353731215 0.0026703071780502796 0.0006167285027913749 0.0010008320678025484 0.15474677085876465 0.21146520972251892 0.6276220679283142 0.0009549289825372398
    1.2.826.0.1.3680043.8.498.82824436529257738777443223398484242661 8.503645221935585e-05 0.00013647761079482734 0.00045565981417894363 0.00019308739865664393 0.00012592408165801316 0.0003186345275025815 6.810017657699063e-05 0.007324111647903919 0.02053907886147499 0.9759000539779663 5.1414921472314745e-05
    1.2.826.0.1.3680043.8.498.73962750527892038129746624822322084014 0.0005012903129681945 0.0003583421930670738 0.0003219206118956208 0.0009145991643890738 0.0011656905990093946 3.839373675873503e-05 0.0014792548026889563 0.014590680599212646 0.0887376070022583 0.8961721658706665 0.00029095684294588864
    1.2.826.0.1.3680043.8.498.71386953466489588857343827705711555844 0.0018511861562728882 0.05272888019680977 0.9633134603500366 0.026278043165802956 0.014258639886975288 0.8945625424385071 0.030185703188180923 0.06720159947872162 0.2299792766571045 0.732886016368866 0.0021922795567661524
    1.2.826.0.1.3680043.8.498.10152830282074532803918537644164528695 0.00039725122042000294 0.00023212919768411666 0.00027243519434705377 0.000784879841376096 0.0008769544074311852 9.951923129847273e-05 0.0002734048757702112 0.033353835344314575 0.15406043827533722 0.7880271673202515 0.0003038979193661362
    1.2.826.0.1.3680043.8.498.10601452724870747682216600735141075447 0.0003437753184698522 0.0002597984566818923 0.0002623006294015795 0.0007873284630477428 0.0009463088354095817 0.00011982645082753152 0.0005620041629299521 0.00978417880833149 0.06278252601623535 0.970544695854187 0.00020920434326399118
    1.2.826.0.1.3680043.8.498.11307008446008494085512773277659799242 0.005001300945878029 0.03696199506521225 0.02761518955230713 0.003907097969204187 0.019616102799773216 0.0034677255898714066 0.82081538438797 0.5270868539810181 0.3381370007991791 0.3744119703769684 0.003367369994521141
    1.2.826.0.1.3680043.8.498.68240497564422682983773067991355061917 0.0004692247021012008 0.000402155943447724 0.0005029839230701327 0.0010279703419655561 0.0010691903298720717 0.00016359852452296764 0.0003997410531155765 0.015048259869217873 0.06828224658966064 0.9180213809013367 0.00030549612711183727
    1.2.826.0.1.3680043.8.498.48044752494816504322158060112431905787 0.0003774500801227987 0.0003765566798392683 0.0004322416498325765 0.0009815662633627653 0.0009468022035434842 0.00016211562615353614 0.001862670062109828 0.07199201732873917 0.08078283071517944 0.9350264668464661 0.0005051990738138556
    1.2.826.0.1.3680043.8.498.11062688634704455137274338302504117342 0.00099367112852633 0.0007128901779651642 0.0011100599076598883 0.002113757189363241 0.0027296284679323435 0.000337887613568455 0.0014551426284015179 0.05369589477777481 0.16370266675949097 0.809266209602356 0.0006347040762193501
    1.2.826.0.1.3680043.8.498.80395569445680228554269399958101961887 0.0002668555243872106 0.0005834766197949648 0.0013352124951779842 0.000784875825047493 0.0003684721887111664 0.00250992807559669 0.00018219610501546413 0.06088797003030777 0.669383704662323 0.2427450716495514 0.0005360303330235183
    1.2.826.0.1.3680043.8.498.72815113138129362795110059337496741650 0.002746644662693143 0.021455317735671997 0.9553462862968445 0.024132251739501953 0.10114798694849014 0.09653912484645844 0.44612759351730347 0.0537106990814209 0.19634249806404114 0.8390195965766907 0.0025100409984588623
    1.2.826.0.1.3680043.8.498.10240833590854519335713701370792249317 0.00023650575894862413 0.0002484696451574564 0.00037344079464673996 0.00037246380816213787 0.00046579859917983413 0.00010775902774184942 0.0006304866983555257 0.0500926747918129 0.31335312128067017 0.6409770250320435 0.00026276646531187
    1.2.826.0.1.3680043.8.498.66794415574125915512671016330826140325 0.0018841242417693138 0.0014281815383583307 0.0012501954333856702 0.008055483922362328 0.014438915066421032 0.007229174487292767 0.03466138243675232 0.05771554633975029 0.14283056557178497 0.8486093282699585 0.0017626570770516992
    1.2.826.0.1.3680043.8.498.12515662072425983667522754590614513002 0.00015095470007508993 0.00013848222442902625 0.00015539690502919257 0.00017294772260356694 0.0003105703799519688 4.824290954275057e-05 0.00020180235151201487 0.02589651383459568 0.2802066206932068 0.6991955041885376 0.00014449411537498236
    1.2.826.0.1.3680043.8.498.12558337349341803342689892016111804465 0.00029289055964909494 0.00020107332966290414 0.00031854870030656457 0.0004599129897542298 0.0006012343219481409 0.0001117507490562275 0.0002198369475081563 0.021532751619815826 0.3526800274848938 0.6126235127449036 0.00022953868028707802
    1.2.826.0.1.3680043.8.498.66337706221458619165926060037319457685 0.00021700942306779325 0.00019684291328303516 0.00016859386232681572 0.00047637554234825075 0.00023328917450271547 0.00038453342858701944 6.738692172802985e-05 0.05233089253306389 0.06252042204141617 0.8924967050552368 0.0001823778438847512
    1.2.826.0.1.3680043.8.498.77534938335511808403383787801897774162 0.0005788004491478205 0.00045150407822802663 0.0005620721494778991 0.0015061243902891874 0.0009610083070583642 0.0009626491810195148 0.0003765719011425972 0.06891234964132309 0.19892063736915588 0.6935580372810364 0.0006060655578039587
    1.2.826.0.1.3680043.8.498.16651475912388402384192797942899254272 0.0005039518000558019 0.0008566579781472683 0.00075603520963341 0.0010005717631429434 0.0016564188990741968 7.880735938670114e-05 0.0017248360672965646 0.130086749792099 0.811501681804657 0.28023761510849 0.0005492318305186927
    1.2.826.0.1.3680043.8.498.12652613617056735410680081095940017131 0.0001570642925798893 0.00013484887313097715 0.00025029105017893016 0.0002599508152343333 0.0003892504028044641 2.089773624902591e-05 0.0005725753726437688 0.010546405799686909 0.03720877692103386 0.951188862323761 6.46307016722858e-05
    1.2.826.0.1.3680043.8.498.47061323104413626762696777447939482879 0.00014770220150239766 0.003951362334191799 0.9965462684631348 0.014350773766636848 0.008180772885680199 0.8757273554801941 0.007090258412063122 0.016613859683275223 0.20635740458965302 0.9123407602310181 0.0006426358013413846
    1.2.826.0.1.3680043.8.498.40147044088148262913045042217274173760 0.00911364983767271 0.019383203238248825 0.011602014303207397 0.030355265364050865 0.09204164892435074 0.361824631690979 0.5686004161834717 0.03778015077114105 0.11964918673038483 0.9125174283981323 0.0025163167156279087
    1.2.826.0.1.3680043.8.498.44434574380806366406217716811069815448 0.004505042918026447 0.004264185670763254 0.004682578146457672 0.018386591225862503 0.038637854158878326 0.01942387782037258 0.050776559859514236 0.1950148046016693 0.3224518299102783 0.5275731682777405 0.002996087772771716
    1.2.826.0.1.3680043.8.498.77915333087098256576568683682233092047 0.00017736016889102757 0.00011961375275859609 0.00020050734747201204 0.00030717800837010145 0.0003652397426776588 5.8697303757071495e-05 0.00018177508900407702 0.1156892329454422 0.6540457606315613 0.20793196558952332 0.00016906819655559957
    1.2.826.0.1.3680043.8.498.78291901115842707142890089886533341223 0.0003036200942005962 0.0002232322294730693 0.0003082792682107538 0.00046505770296789706 0.0008245475473813713 6.16849065409042e-05 0.0008139722049236298 0.060929976403713226 0.1634383499622345 0.74443119764328 0.00025951809948310256
    1.2.826.0.1.3680043.8.498.11322486547244049944414475067666874514 0.00019287918985355645 0.00012406217865645885 0.0003062945033889264 0.00033002792042680085 0.00036145432386547327 8.697341399965808e-05 0.00026399065973237157 0.01127977017313242 0.03440640866756439 0.9613963961601257 0.00012298258661758155
    1.2.826.0.1.3680043.8.498.10085010209585983370936849505910827452 0.0003391703066881746 0.0004122435057070106 0.0004921205108985305 0.001060571987181902 0.0005822366802021861 0.0005845306441187859 0.0004418370663188398 0.008283765986561775 0.0377226248383522 0.9606951475143433 0.00017730958643369377
    1.2.826.0.1.3680043.8.498.28085241611072840305807038812436060155 0.00032473314786329865 0.0004113540635444224 0.00043393182568252087 0.0006393918301910162 0.0009475300903432071 0.00020258803851902485 0.0006474523106589913 0.009701341390609741 0.3181684911251068 0.8143112063407898 0.0002451451146043837
    1.2.826.0.1.3680043.8.498.12903370410382630965474121058903856428 0.0006774830399081111 0.0009362919954583049 0.001341369585134089 0.0018244016682729125 0.0009840006241574883 0.020608479157090187 0.00040919886669144034 0.08865581452846527 0.16300325095653534 0.854122519493103 0.0007720465073361993
    1.2.826.0.1.3680043.8.498.58951714744955878766164951900557903974 0.007818554528057575 0.16488181054592133 0.6977197527885437 0.012301214039325714 0.06525294482707977 0.010490382090210915 0.6003199219703674 0.46989375352859497 0.4737528860569 0.5503002405166626 0.00249118497595191
    1.2.826.0.1.3680043.8.498.59739306407225950492189742484619739959 0.0001867528771981597 0.00024345758720301092 0.00029364091460593045 0.000209210003959015 0.0003035049303434789 6.90781744197011e-05 0.00030985428020358086 0.0636226236820221 0.5386024713516235 0.4310738444328308 0.00026337377494201064
    1.2.826.0.1.3680043.8.498.73584602297190560808628419441516457639 0.010883096605539322 0.06737913936376572 0.1878204494714737 0.017078036442399025 0.036068160086870193 0.18255393207073212 0.9204407930374146 0.11704176664352417 0.42332348227500916 0.6820758581161499 0.005188971757888794
    1.2.826.0.1.3680043.8.498.81471428616624976487488086179942897738 0.00031629338627681136 0.00026959116803482175 0.00035491358721628785 0.0005428896402008832 0.0005903203855268657 0.00017147163453046232 0.0003749057650566101 0.012967342510819435 0.11087624728679657 0.8959329724311829 0.00016843680350575596
    1.2.826.0.1.3680043.8.498.75064010445973365313664334544095973876 0.00017694049165584147 0.00015317217912524939 0.00016337240231223404 0.0002402312820777297 0.00030336403870023787 3.245499829063192e-05 0.00029344402719289064 0.02802300825715065 0.2038860023021698 0.8706414103507996 0.00016715934907551855
    1.2.826.0.1.3680043.8.498.10487390443975366182409099232489594691 0.00024305912666022778 0.0001817083393689245 0.00019539555069059134 0.000483890064060688 0.0005343698430806398 0.00013718270929530263 0.0002074871736112982 0.16042836010456085 0.5076197385787964 0.29612302780151367 0.000242296839132905
    1.2.826.0.1.3680043.8.498.79473486942095431110749231871392680455 0.0002565377508290112 0.00017683858459349722 0.00024310553271789104 0.0006354331271722913 0.0005405120318755507 0.0002633687690831721 0.0001345391501672566 0.07590959221124649 0.27391356229782104 0.7591927647590637 0.00031681492691859603
    1.2.826.0.1.3680043.8.498.12499783258912633399693889484982752547 0.002440360141918063 0.0028132093138992786 0.0014566415920853615 0.0049834526143968105 0.010993173345923424 0.00393193494528532 0.07414640486240387 0.1420755833387375 0.17828933894634247 0.6892400979995728 0.003229582216590643
    1.2.826.0.1.3680043.8.498.99586120861060629132542699389405679748 0.0018782278057187796 0.0019171017920598388 0.001987273572012782 0.003146013244986534 0.006468209438025951 0.004089967347681522 0.015989329665899277 0.07781930267810822 0.2048967182636261 0.7544834017753601 0.0015479818684980273
    1.2.826.0.1.3680043.8.498.12074792954432195039438699443436714450 0.0012025933247059584 0.002795253647491336 0.00405891751870513 0.002310784999281168 0.004066640045493841 0.0005795725737698376 0.007662387099117041 0.13916659355163574 0.4847353994846344 0.5080152750015259 0.0009947458747774363
    1.2.826.0.1.3680043.8.498.95628283068169837528442798791742632468 0.00035377946915104985 0.00030438622343353927 0.0003133441205136478 0.0012224385282024741 0.00080823217285797 0.0006461480516009033 0.0004092987219337374 0.015839440748095512 0.04231257736682892 0.9588186144828796 0.0002728033869061619
    1.2.826.0.1.3680043.8.498.11095744880533133639916209303975032267 0.000269751442829147 0.0005545557360164821 0.0006761270924471319 0.00032080375240184367 0.0007625700673088431 9.165742812911049e-05 0.002954566851258278 0.04793505370616913 0.11322890222072601 0.8957942724227905 0.0001712045632302761
    1.2.826.0.1.3680043.8.498.12883574277835212368391615796912851596 0.0004555272462312132 0.00031408402719534934 0.0003275451308581978 0.0005804626271128654 0.0006063921609893441 0.0001245899184141308 0.00025921373162418604 0.07044006139039993 0.28793826699256897 0.6675373315811157 0.0005027731531299651
    1.2.826.0.1.3680043.8.498.11216723049108378799342205148732818331 0.00011998212721664459 8.502790296915919e-05 9.626153769204393e-05 0.0002330952847842127 0.0003906511701643467 1.0639041647664271e-05 0.0005448717856779695 0.002639422658830881 0.01627270318567753 0.9896443486213684 6.10924544162117e-05
    1.2.826.0.1.3680043.8.498.96964434199989482758903795445561097862 0.09826066344976425 0.5888106226921082 0.28037941455841064 0.04607841372489929 0.07966424524784088 0.02561224438250065 0.5665317177772522 0.26680803298950195 0.36861544847488403 0.38579192757606506 0.005002706311643124
    1.2.826.0.1.3680043.8.498.10871121726219717192282490041886127520 0.00015338642697315663 0.00011605690087890252 0.00021903426386415958 0.0004336761776357889 0.0002904170542024076 0.0002725282101891935 0.0002869231684599072 0.015350274741649628 0.052625395357608795 0.9239819645881653 0.00012251305452082306
    1.2.826.0.1.3680043.8.498.69677708952632338899561142018491493481 0.0970432311296463 0.5764396786689758 0.19591054320335388 0.03133051097393036 0.08233368396759033 0.04719730466604233 0.334712952375412 0.08056535571813583 0.3318970799446106 0.7253464460372925 0.00331922248005867
    1.2.826.0.1.3680043.8.498.44114754648276611165515772087984040897 9.482256427872926e-05 9.598545875633135e-05 7.938763883430511e-05 0.00029381876811385155 0.0001210387927130796 0.00026846013497561216 3.7995821912772954e-05 0.0063125803135335445 0.03484659641981125 0.9790142774581909 7.487149559892714e-05
    1.2.826.0.1.3680043.8.498.14099440866324765283281039709823336008 0.0002050499606411904 0.0003745572757907212 0.0003964202478528023 0.0006556635489687324 0.000181350638740696 0.0014731038827449083 5.6053475418593735e-05 0.08873433619737625 0.6213423013687134 0.3251892626285553 0.00047149095917120576
    1.2.826.0.1.3680043.8.498.12815643552539044651002029823457397157 0.0003410512290429324 0.0002660513564478606 0.00028193037724122405 0.0006300193490460515 0.0006581609486602247 0.00011515368532855064 0.0002695490838959813 0.04712175577878952 0.14835849404335022 0.8250936269760132 0.0002699323813430965
    1.2.826.0.1.3680043.8.498.11131187386736204709624619085319459970 0.0004012188292108476 0.0006134785944595933 0.0016551014268770814 0.002836284227669239 0.0013622744008898735 0.010032967664301395 0.0005284808576107025 0.47005796432495117 0.12268237769603729 0.5243843793869019 0.000668390654027462
    1.2.826.0.1.3680043.8.498.18908115881995768177338329995395243615 0.00038426625542342663 0.00036753402673639357 0.0004618478997144848 0.0008176031406037509 0.00111148483119905 9.988887177314609e-05 0.0009076856076717377 0.010710475035011768 0.04898875951766968 0.9615613222122192 0.0001816015865188092
    1.2.826.0.1.3680043.8.498.10028616036696367443842650147638953896 0.0027526780031621456 0.009831356815993786 0.009595322422683239 0.005140403751283884 0.011644512414932251 0.005126078613102436 0.10187308490276337 0.08457909524440765 0.3914549946784973 0.7623246312141418 0.001960590947419405
    1.2.826.0.1.3680043.8.498.12593881252097779594384342428171310796 0.00023080417304299772 0.0001837582531152293 0.0002529759949538857 0.0004651831404771656 0.0005613027606159449 4.8706497182138264e-05 0.0002781802322715521 0.0316774882376194 0.12878185510635376 0.8817750215530396 0.00019167133723385632
    1.2.826.0.1.3680043.8.498.13254776148004552008018880668379163289 0.0015722181415185332 0.026342030614614487 0.025711888447403908 0.000998212955892086 0.006783200893551111 0.0007170111639425159 0.9622604250907898 0.018087193369865417 0.13901448249816895 0.9184589385986328 0.0006001493893563747
    1.2.826.0.1.3680043.8.498.12736039470842991819862950681398353570 0.0007836641743779182 0.0010048800613731146 0.0013269020710140467 0.0013222654815763235 0.0018311564344912767 0.0002986145846080035 0.00441321637481451 0.11248283088207245 0.3514041602611542 0.6127098798751831 0.0008820818620733917
    1.2.826.0.1.3680043.8.498.82514661357532011569082131228310197976 0.00023370674171019346 0.0002420156670268625 0.0003396585234440863 0.0007440324989147484 0.00026351326960138977 0.0012714203912764788 5.853945549461059e-05 0.02414688840508461 0.06319019943475723 0.9508004188537598 0.00017540264525450766
    1.2.826.0.1.3680043.8.498.12532557845124269327220968586902766345 0.006175904534757137 0.08736903220415115 0.8819405436515808 0.022753259167075157 0.06430172920227051 0.6271228790283203 0.3356359004974365 0.596739649772644 0.4287099242210388 0.3899131417274475 0.009204772301018238
    1.2.826.0.1.3680043.8.498.58724944078795662160108869877967574060 0.00030266528483480215 0.00033395664650015533 0.0004489425045903772 0.0005469470052048564 0.0010292280931025743 7.206584268715233e-05 0.0014202147722244263 0.012328089214861393 0.09481196105480194 0.9342581629753113 0.0002072978240903467
    1.2.826.0.1.3680043.8.498.98215334587767766279162536570355697038 0.00021582147746812552 0.00017313423450104892 0.00032872939482331276 0.0003845556639134884 0.0005008035805076361 5.2015391702298075e-05 0.00028287709574215114 0.03894306719303131 0.17925100028514862 0.7780598998069763 0.0001630700717214495
    1.2.826.0.1.3680043.8.498.10213882517380172798835947914722110815 0.00906042568385601 0.006816905923187733 0.005669297184795141 0.09994971752166748 0.11211391538381577 0.6052290201187134 0.44019216299057007 0.02838822267949581 0.2875845730304718 0.8753441572189331 0.005516882054507732
    1.2.826.0.1.3680043.8.498.62486362937209810665196513609779681729 0.00035578219103626907 0.0002995160175487399 0.0003880466683767736 0.0005534478696063161 0.00040020019514486194 0.0008345909300260246 8.299930777866393e-05 0.22370418906211853 0.2391667366027832 0.5577282905578613 0.000512086262460798
    1.2.826.0.1.3680043.8.498.33769881819593225696472923321114653255 0.0010689828777685761 0.0018933269893750548 0.010199140757322311 0.00234043225646019 0.005251795519143343 0.003453559009358287 0.011631736531853676 0.03240428864955902 0.09122149646282196 0.9599229097366333 0.9356295466423035
    1.2.826.0.1.3680043.8.498.71249123412943463920828051510953785190 0.00040666930726729333 0.00046706610010005534 0.0006734051275998354 0.0009644286474213004 0.001456061378121376 0.00017067455337382853 0.0008354522287845612 0.02059360221028328 0.18715469539165497 0.9002195596694946 0.0002937035169452429
    1.2.826.0.1.3680043.8.498.78532303795819310442567207195708315032 0.00018818728858605027 0.0003749361785594374 0.0008092218777164817 0.0008344004163518548 0.00021609300165437162 0.0028063138015568256 5.67662573303096e-05 0.008287278935313225 0.03201686590909958 0.9716994166374207 0.00012388535833451897
    1.2.826.0.1.3680043.8.498.37118543629892158264107388393665475665 0.0002697365707717836 0.00025491666747257113 0.0005014372291043401 0.0007129324949346483 0.0004848326207138598 0.0008211182430386543 0.00010525181278353557 0.19020137190818787 0.4269882142543793 0.3112283945083618 0.0003104316128883511
    1.2.826.0.1.3680043.8.498.26277792897992019443476411324141416252 0.001305948244407773 0.0019845720380544662 0.0031724057625979185 0.004933217074722052 0.00217150105163455 0.009016642346978188 0.0007264195010066032 0.14750048518180847 0.2428116798400879 0.7112993001937866 0.0013887647073715925
    1.2.826.0.1.3680043.8.498.13170812186444038781734567504483234362 0.00018222232756670564 0.0001283202727790922 0.00011014782648999244 0.00024509860668331385 0.0002745149249676615 1.579807576490566e-05 0.0005941944546066225 0.04887932911515236 0.17076995968818665 0.7518061399459839 0.00014792292495258152
    1.2.826.0.1.3680043.8.498.11754896120590237472175331578492963904 0.00010849795216927305 0.00010062607179861516 9.687197598395869e-05 0.0001742025779094547 9.00643935892731e-05 0.00018593514687381685 3.250153531553224e-05 0.018110599368810654 0.066030353307724 0.9426827430725098 8.886282739695162e-05
    1.2.826.0.1.3680043.8.498.47714057943659110033850549388686934036 0.00010230168845737353 9.788615716388449e-05 0.00015017423720564693 0.0004515982582233846 8.462565892841667e-05 0.0005094425869174302 1.7875496268970892e-05 0.010679651983082294 0.04464958980679512 0.9641082882881165 0.00011116786481579766
    1.2.826.0.1.3680043.8.498.75873684510975388909619600421397316808 0.0002565925824455917 0.0002645673812367022 0.00031792130903340876 0.0004643156717065722 0.0005159192951396108 0.00015380348486360162 0.0008994320523925126 0.008682451210916042 0.014337864704430103 0.9891023635864258 7.671332423342392e-05
    1.2.826.0.1.3680043.8.498.39185783940527140050860173936514320234 0.00037083870847709477 0.00027290795696899295 0.00038621138082817197 0.0006851849611848593 0.0010104370303452015 9.267170389648527e-05 0.0004271728394087404 0.008239621296525002 0.056027717888355255 0.955154538154602 0.0001687949406914413
    1.2.826.0.1.3680043.8.498.54314579554905941812223997632493529305 0.0002941525890491903 0.00019871669064741582 0.0003207920235581696 0.0004774654807988554 0.0007064540404826403 7.959025970194489e-05 0.0005790616851300001 0.01721070148050785 0.19510182738304138 0.7909981608390808 0.0002635768905747682
    1.2.826.0.1.3680043.8.498.22918098611929466043810445962548656905 0.0002487412712071091 0.00017928740999195725 0.00023074852651916444 0.0005346678080968559 0.00039191223913803697 0.00024351307365577668 8.926157170208171e-05 0.023113468661904335 0.0527663417160511 0.9278936386108398 0.000144056961289607
    1.2.826.0.1.3680043.8.498.32811316851120616234531517607519886898 0.0001671549689490348 0.00018084121984429657 0.0002719940384849906 0.0002798677305690944 0.0002873459889087826 0.0002883127599488944 0.00015912485832814127 0.01940472424030304 0.0507592037320137 0.9344289898872375 0.00013580775703303516
    1.2.826.0.1.3680043.8.498.82289844079776627740862724198296911236 0.0006140993209555745 0.0009265554253943264 0.0012055656407028437 0.0009449189528822899 0.0018242752412334085 0.0003970747929997742 0.012642646208405495 0.19605422019958496 0.556924045085907 0.36670780181884766 0.000720466545317322
    1.2.826.0.1.3680043.8.498.44771410113702857421787786916038666472 0.0003369971236679703 0.0005778338527306914 0.0009782693814486265 0.0008744204533286393 0.0005386803532019258 0.0021779171656817198 0.0002232628467027098 0.04607491195201874 0.5032705664634705 0.5360776782035828 0.00041424777009524405
    1.2.826.0.1.3680043.8.498.33834897489397856478177383862441641981 0.00010451067646499723 8.11170757515356e-05 0.00012790609616786242 0.0002479068352840841 0.00032354320865124464 0.00010991395538439974 5.553388109547086e-05 0.010083739645779133 0.032842136919498444 0.9672411680221558 8.972010982688516e-05
    1.2.826.0.1.3680043.8.498.23513935870540260432557094368821112983 0.0002625977504067123 0.001015392830595374 0.000988296465948224 0.0002299379848409444 0.0004580554668791592 0.0001349810918327421 0.025394687429070473 0.013628308661282063 0.08727312088012695 0.9597171545028687 0.0002736796159297228
    1.2.826.0.1.3680043.8.498.12105180260717983110517018906744770091 0.0016254729125648737 0.0016488436376675963 0.001553392969071865 0.0036246608942747116 0.004630283452570438 0.0006287031574174762 0.002258577849715948 0.19554904103279114 0.426065057516098 0.4844173491001129 0.0012892858358100057
    1.2.826.0.1.3680043.8.498.12731451787935511928604207376883135825 0.004000366665422916 0.005052868742495775 0.004164314828813076 0.04060743749141693 0.15141095221042633 0.23132291436195374 0.5456708073616028 0.015679502859711647 0.04272684454917908 0.9679559469223022 0.0014742616331204772
    1.2.826.0.1.3680043.8.498.55633581594640955345570596839947069205 0.0001056549372151494 9.134321589954197e-05 0.00011955254012718797 0.00012591340055223554 0.00018634399748407304 6.504372140625492e-05 0.00015601811173837632 0.033590395003557205 0.33101972937583923 0.5450016260147095 0.00014948213356547058
    1.2.826.0.1.3680043.8.498.50979460970954680868121850302440344364 0.0002341223444091156 0.000162269760039635 0.000351630529621616 0.00047143391566351056 0.0007257958059199154 8.6784282757435e-05 0.0003522721817716956 0.005455769132822752 0.08654459565877914 0.9251124262809753 0.00012149718531873077
    1.2.826.0.1.3680043.8.498.35627296758839822897774295944638032669 0.0005275967996567488 0.0005799446371383965 0.0005038539529778063 0.0005069567123427987 0.0007573543698526919 0.00013212300837039948 0.001550758839584887 0.26205262541770935 0.19695505499839783 0.6334070563316345 0.0007904311642050743
    1.2.826.0.1.3680043.8.498.17027065449120839711447532247523592401 0.0004517126362770796 0.0005627066129818559 0.0005789448623545468 0.0008691414259374142 0.0008224508492276073 0.0001313013635808602 0.0007255898090079427 0.0447004996240139 0.36148685216903687 0.7300741076469421 0.00044062608503736556
    1.2.826.0.1.3680043.8.498.11306748200099756404900734529479763367 0.00029548414750024676 0.0002109029155690223 0.00019879562023561448 0.0006501009920611978 0.00029244148754514754 0.0002158353745471686 0.00010586962889647111 0.04527011141180992 0.04801427945494652 0.9162304997444153 0.0002374967298237607
    1.2.826.0.1.3680043.8.498.35578565595125514886423056009494659039 0.0004313988611102104 0.0005745001835748553 0.0005226132343523204 0.00042878006934188306 0.0007060345378704369 3.3976175473071635e-05 0.015705471858382225 0.030285488814115524 0.15636740624904633 0.781403660774231 0.00026280927704647183
    1.2.826.0.1.3680043.8.498.50092181100652013821786951247797985103 0.0019472591811791062 0.00250294990837574 0.0020390672143548727 0.003825950203463435 0.007880437187850475 0.0010506032267585397 0.012655844911932945 0.1759752333164215 0.22462037205696106 0.6409387588500977 0.005342145450413227
    1.2.826.0.1.3680043.8.498.11581164145802697713435619935255345588 0.0001728937786538154 0.00021454342640936375 0.00033406197326257825 0.00023781954951118678 0.00021248725533951074 0.0003167096001561731 0.0001823596830945462 0.03784232959151268 0.09656540304422379 0.8766534924507141 0.00017916015349328518
    1.2.826.0.1.3680043.8.498.12396450843639244154389520305617906495 0.00016429807874374092 0.0023281543981283903 0.995604395866394 0.011294638738036156 0.008203663863241673 0.14932310581207275 0.0021448133047670126 0.015777714550495148 0.058076657354831696 0.9751412272453308 0.0002912452910095453
    1.2.826.0.1.3680043.8.498.96916483191558836506776354894174377414 0.00018214872397948056 9.646553371567279e-05 0.00022025787620805204 0.0003326173755340278 0.0004880391061306 5.144991882843897e-05 0.00015634670853614807 0.006334279663860798 0.06950792670249939 0.9226218461990356 0.00012773768685292453
    1.2.826.0.1.3680043.8.498.66504150410784260886037870571253680637 0.0003023989556822926 0.00026200886350125074 0.000479932117741555 0.0008480392280034721 0.0003490551025606692 0.0006906723137944937 8.231391257140785e-05 0.0558798611164093 0.3166700005531311 0.7510820031166077 0.0004447764658834785
    1.2.826.0.1.3680043.8.498.12182231029660580337198407484809424391 0.00013766456686425954 0.00013433813001029193 0.0005273185088299215 0.00040943865315057337 0.00019636275828815997 0.0004953615134581923 0.0001501108199590817 0.016246842220425606 0.07809150218963623 0.9374001622200012 0.00013007396773900837
    1.2.826.0.1.3680043.8.498.65585482327046647186032145431243978907 0.00011667718354146928 7.067869591992348e-05 8.733315917197615e-05 0.000214775835047476 0.00014611714868806303 5.951309503871016e-05 6.684147228952497e-05 0.012401428073644638 0.15064457058906555 0.8493368029594421 9.387123282067478e-05
    1.2.826.0.1.3680043.8.498.68984206318172764960906040157949233560 0.00019347542547620833 0.00023657157726120204 0.0003522643819451332 0.000231277706916444 0.0005064815049991012 9.155643783742562e-05 0.0006067563081160188 0.0382530577480793 0.23068192601203918 0.8084872364997864 0.0001740424195304513
    1.2.826.0.1.3680043.8.498.12765693107929547466237068905406752247 0.00016583057004027069 0.0002268472162541002 0.0003173729928676039 0.0002507734461687505 0.0004964540130458772 1.822203557821922e-05 0.0013923861552029848 0.01941586099565029 0.6033379435539246 0.4664868414402008 0.0001601289550308138
    1.2.826.0.1.3680043.8.498.49413395141827335587641620611213497711 0.00020472612231969833 0.00011341993376845494 0.0001758573343977332 0.0003508581721689552 0.000534501567017287 3.07896152662579e-05 0.00016131394659169018 0.02933594025671482 0.14282268285751343 0.8396533727645874 0.00013624902931042016
    1.2.826.0.1.3680043.8.498.10468997604026391438106750114712098222 0.00026948360027745366 0.0003616372705437243 0.0008532117935828865 0.0005613598041236401 0.0006903050234541297 0.00030008115572854877 0.0002570102515164763 0.009595425799489021 0.15174807608127594 0.8967572450637817 0.00020857846539001912
    1.2.826.0.1.3680043.8.498.55927827390908761578705047697048682350 0.002821996808052063 0.049747567623853683 0.8539434671401978 0.04446810483932495 0.022892799228429794 0.5605806708335876 0.036912452429533005 0.052996862679719925 0.4671095907688141 0.476793110370636 0.0012207070831209421
    1.2.826.0.1.3680043.8.498.57660546014452332360678361559255347784 0.0002873367629945278 0.00030654965667054057 0.00035144464345648885 0.00043140919297002256 0.0004898367915302515 9.708096331451088e-05 0.0008073809440247715 0.07260342687368393 0.607123851776123 0.43652477860450745 0.0002627067733556032
    1.2.826.0.1.3680043.8.498.52406509368417824827547936914096299372 0.00035305385245010257 0.0005315935122780502 0.0007985646952874959 0.0010586391435936093 0.00046017058775760233 0.0024009861517697573 0.00012279950897209346 0.043473415076732635 0.42760246992111206 0.5510696172714233 0.0003313823835924268
    1.2.826.0.1.3680043.8.498.73302818421756981374073408894411419444 0.0027227846439927816 0.07409898936748505 0.9108551740646362 0.012932293117046356 0.02841317094862461 0.5505305528640747 0.2484624832868576 0.01570100523531437 0.16270282864570618 0.9830840229988098 0.0033040500711649656
    1.2.826.0.1.3680043.8.498.51027480423383905618097905392278811381 0.0001383140916004777 0.00012675125617533922 0.00023067055735737085 0.00034720811527222395 0.00024528620997443795 0.00024593729176558554 7.512736920034513e-05 0.006852635182440281 0.11237800121307373 0.8911321759223938 0.00011349262058502063
    1.2.826.0.1.3680043.8.498.60611900387886497877680974896598897983 0.00016617056098766625 0.00016805801715236157 0.0002809424768202007 0.0005120406276546419 0.00039544975152239203 0.00048640306340530515 0.0002733007713686675 0.010539602488279343 0.04665721207857132 0.9456117749214172 9.261244849767536e-05
    1.2.826.0.1.3680043.8.498.36978556594222791359119060450916689442 0.0014140955172479153 0.002040925668552518 0.0019226722652092576 0.0017131402855738997 0.003942625131458044 0.00017934516654349864 0.01012025959789753 0.6989902257919312 0.21769113838672638 0.177328959107399 0.0016571112209931016
    1.2.826.0.1.3680043.8.498.10731643688738373355111163227886597648 0.006399004720151424 0.014635404571890831 0.00956571102142334 0.026689549908041954 0.08107456564903259 0.06517448276281357 0.6531312465667725 0.016246255487203598 0.12171757221221924 0.8786889910697937 0.0018198942998424172
    1.2.826.0.1.3680043.8.498.83802246416774468648788252856017479794 0.0002929531619884074 0.0005348521517589688 0.0006319521344266832 0.0015909885987639427 0.0007312009111046791 0.006111904978752136 0.0006664288812316954 0.013128715567290783 0.057083457708358765 0.9852771759033203 0.0003881424490828067
    1.2.826.0.1.3680043.8.498.16820794679671021405102543073588818537 0.0003820679849013686 0.00048590925871394575 0.0012176326708868146 0.001750861294567585 0.0004586479626595974 0.002640347694978118 0.00010234572982881218 0.026652414351701736 0.05102931335568428 0.9245390892028809 0.00032465389813296497
    1.2.826.0.1.3680043.8.498.69294825574820803965890814013137051518 0.0003602678480092436 0.0002603816974442452 0.0002440606476739049 0.0006305888528004289 0.0008039848762564361 6.095062053645961e-05 0.00039893860230222344 0.029907071962952614 0.2533125579357147 0.7457287907600403 0.0002917446836363524
    1.2.826.0.1.3680043.8.498.46937840309561459608722510564488596914 0.0001636113884160295 0.00020938106172252446 0.00033252581488341093 0.0003421311266720295 0.0005896611837670207 6.241437222342938e-05 0.00031813947134651244 0.002585839480161667 0.02810371294617653 0.9846739768981934 6.535322609124705e-05
    1.2.826.0.1.3680043.8.498.42149954587213373006203644120332067742 0.0001985970011446625 0.0001982734102057293 0.00021435940288938582 0.000410745560657233 0.00034188717836514115 0.00039958851994015276 0.00010039034532383084 0.1857280731201172 0.27067527174949646 0.5166248679161072 0.0006943610496819019
    1.2.826.0.1.3680043.8.498.10883206817197617476504838054318001170 0.00019789258658420295 0.00028025233768858016 0.0009159435285255313 0.0013370089000090957 0.00031613229657523334 0.0022392761893570423 0.00011350590648362413 0.007110416889190674 0.02304954081773758 0.981730580329895 0.0001584540877956897
    1.2.826.0.1.3680043.8.498.10553790698515740991402027916722271941 0.00022367885685525835 0.00021872323122806847 0.000241977657424286 0.00042297752224840224 0.0006411228096112609 0.0001021694770315662 0.000314740085741505 0.019664648920297623 0.26509976387023926 0.6987819075584412 0.00021184720390010625
    1.2.826.0.1.3680043.8.498.51449887719564295794014313993498659844 0.0008103164145722985 0.0007847051019780338 0.0008294634753838181 0.0022083562798798084 0.003902563126757741 0.0012617779430001974 0.005273405462503433 0.09120545536279678 0.26040494441986084 0.721847653388977 0.0011586062610149384
    1.2.826.0.1.3680043.8.498.66729060400038912651313162928056357541 0.00013844332715962082 9.626385144656524e-05 0.00017873398610390723 0.0003796539385803044 0.00022758978593628854 0.00011427413846831769 7.035086309770122e-05 0.0023553192149847746 0.0161990225315094 0.9823505282402039 6.405725434888154e-05
    1.2.826.0.1.3680043.8.498.87510694281778986314653205817009292379 0.0003619855851866305 0.0004700709250755608 0.00029591776547022164 0.0005947102908976376 0.0004424679500516504 0.00040537345921620727 0.00028193072648718953 0.051447849720716476 0.07273296266794205 0.9185541868209839 0.00022316693502943963
    1.2.826.0.1.3680043.8.498.54795373460107628398196947892304268441 0.0038734774570912123 0.09304875135421753 0.7278665900230408 0.052985288202762604 0.03765885904431343 0.6476672887802124 0.039801787585020065 0.0176585353910923 0.05519730597734451 0.5012861490249634 0.0005620823940262198
    1.2.826.0.1.3680043.8.498.87258156020226953886871757732450428131 0.00021575693972408772 0.000875743106007576 0.0005925733712501824 0.00018639318295754492 0.00045889694592915475 2.50805496762041e-05 0.0178057923913002 0.5361394882202148 0.5838549137115479 0.2987934947013855 0.0002925635199062526
    1.2.826.0.1.3680043.8.498.65796883083627932347018195775128866718 0.00018592936976347119 0.000182462070370093 0.00022209812595974654 0.0005916398949921131 0.00019470162806101143 0.0006073829135857522 3.682900205603801e-05 0.025186792016029358 0.051215898245573044 0.9673821330070496 0.00016011553816497326
    1.2.826.0.1.3680043.8.498.11561031881623651644154571104207204835 9.574941213941202e-05 0.00011450926831457764 0.000315971439704299 0.00030713630258105695 0.00015552119293715805 0.0008970477501861751 5.932065687375143e-05 0.02784995175898075 0.13172893226146698 0.890589714050293 0.0001750441297190264
    1.2.826.0.1.3680043.8.498.91085853739991063969660880719950447993 0.0003096755826845765 0.0002761868527159095 0.0007424539071507752 0.0006921213935129344 0.0005696575390174985 0.0003466784837655723 0.0001963140966836363 0.014051096513867378 0.1498195230960846 0.8626144528388977 0.0002514176594559103
    1.2.826.0.1.3680043.8.498.14112455757900874728057426052820740796 0.022675011307001114 0.3659493029117584 0.5679701566696167 0.008705830201506615 0.030939418822526932 0.13401825726032257 0.7413104772567749 0.252736896276474 0.5080676078796387 0.6301669478416443 0.002980350749567151
    1.2.826.0.1.3680043.8.498.34233467849581254140994941843436541930 0.000255956023465842 0.0002888399176299572 0.00048005953431129456 0.00036034168442711234 0.00034576476900838315 0.00020658542052842677 0.00047083423123694956 0.11568943411111832 0.31621235609054565 0.6764407157897949 0.0002729246043600142
    1.2.826.0.1.3680043.8.498.13834508798088372189722392208071103924 0.00033918069675564766 0.0002495409280527383 0.00028494533034972847 0.0005695522995665669 0.0007813602569513023 5.440944732981734e-05 0.0005010237218812108 0.028602376580238342 0.1507505476474762 0.8544588088989258 0.0002810709993354976
    1.2.826.0.1.3680043.8.498.98263285317808829317136123497570349493 0.00048515634262003005 0.0007255414384417236 0.000699978438206017 0.0008166305487975478 0.0017871992895379663 0.00010137031495105475 0.0013399077579379082 0.07133692502975464 0.6362642645835876 0.3188059628009796 0.0003271623281762004
    1.2.826.0.1.3680043.8.498.78667091215477909124590525681623506708 0.0004547257849480957 0.0006764671416021883 0.0007838411256670952 0.00028320716228336096 0.0006786977173760533 5.788154521724209e-05 0.00963497068732977 0.1821669042110443 0.29945269227027893 0.6887826323509216 0.0004332136013545096
    1.2.826.0.1.3680043.8.498.11391336864733734218111615316512807296 0.05866100266575813 0.3183712363243103 0.17845465242862701 0.09016355872154236 0.040108468383550644 0.46690964698791504 0.08442149311304092 0.10055778920650482 0.43112295866012573 0.3019241690635681 0.004195569548755884
    1.2.826.0.1.3680043.8.498.67784797317935231222271000901904734259 0.00050906534306705 0.0012256440240889788 0.0024538978468626738 0.0020268713124096394 0.002018923871219158 0.003159611951559782 0.004818929359316826 0.01909099891781807 0.01734985038638115 0.9851042032241821 0.00045423145638778806
    1.2.826.0.1.3680043.8.498.79885664463698447641319914809344861902 0.00038819119799882174 0.0003555128932930529 0.0006999936886131763 0.001049731159582734 0.0019282123539596796 0.00019529617566149682 0.0010442992206662893 0.015788432210683823 0.13702638447284698 0.9280015230178833 0.00025177153293043375
    1.2.826.0.1.3680043.8.498.55024804111928169985808020217817926227 0.000783211668021977 0.0012167691020295024 0.0007956245681270957 0.0012137569719925523 0.0015891458606347442 0.0004391972324810922 0.0032963876146823168 0.02989101968705654 0.11082521826028824 0.9090114831924438 0.00041803703061304986
    1.2.826.0.1.3680043.8.498.70235403476508085303802266663053323552 0.0005259377649053931 0.0005929982289671898 0.0008802844095043838 0.0010004948126152158 0.0013507138937711716 0.00025544222444295883 0.0005764590459875762 0.018743595108389854 0.5050442218780518 0.5806090831756592 0.00040204465040005744
    1.2.826.0.1.3680043.8.498.57282163057969951143827013703417924296 0.0031843031756579876 0.03495170921087265 0.029291605576872826 0.003547013970091939 0.012319675646722317 0.04309191182255745 0.9686108827590942 0.057554941624403 0.6417955160140991 0.6090500950813293 0.0016136255580931902
    1.2.826.0.1.3680043.8.498.89290410745742051826878250801190162845 0.001064377254806459 0.0016207160660997033 0.005030237138271332 0.005591488443315029 0.004698142409324646 0.002771003171801567 0.0035867649130523205 0.012498144991695881 0.03874232992529869 0.9653941988945007 0.0005524223670363426
    1.2.826.0.1.3680043.8.498.71543074833780073161725031356566054510 0.0005358795751817524 0.0005123325390741229 0.0007809585658833385 0.00162667001131922 0.0012447686167433858 0.0029253039974719286 0.00046203407691791654 0.016238469630479813 0.03934618830680847 0.9712827801704407 0.00021515274420380592
    1.2.826.0.1.3680043.8.498.11685687302531175993218198327997458150 0.0006014653481543064 0.0007147449068725109 0.0008826312841847539 0.0012261603260412812 0.0012070095399394631 0.0011128823971375823 0.0005928569589741528 0.0470002219080925 0.6116820573806763 0.47192925214767456 0.00047339661978185177
    1.2.826.0.1.3680043.8.498.13141601502701964154659724683100501695 0.0030422164127230644 0.0053479308262467384 0.010418277233839035 0.025407034903764725 0.021129075437784195 0.568089485168457 0.14924947917461395 0.15737473964691162 0.6078860759735107 0.39117738604545593 0.0020804819650948048
    1.2.826.0.1.3680043.8.498.91696369719775985858576910529596056750 0.00016362583846785128 0.00020521448459476233 0.00015778325905557722 0.0001925642864080146 0.00032112508779391646 4.786833596881479e-05 0.0010086371330544353 0.012427449226379395 0.07427054643630981 0.9185930490493774 0.00010536615445744246
    1.2.826.0.1.3680043.8.498.87890666232157158578993412105741969138 0.00025484312209300697 0.00015488307690247893 0.000287950097117573 0.0005073192878626287 0.0005152649246156216 0.00012992399570066482 0.0001960024528671056 0.029394645243883133 0.16388791799545288 0.7688618302345276 0.00021391941118054092
    1.2.826.0.1.3680043.8.498.97710482971565821767069147918204935249 0.000769448175560683 0.001103655667975545 0.0016264047008007765 0.00202020606957376 0.006814059801399708 0.0011618921998888254 0.014684190973639488 0.00978902168571949 0.0527934655547142 0.9746952056884766 0.0003866037877742201
    1.2.826.0.1.3680043.8.498.12719247100097226085236338931222267327 0.00037537055322900414 0.0002913469506893307 0.0004175200592726469 0.0005630967789329588 0.0008985452586784959 7.019306212896481e-05 0.0007781182648614049 0.013668157160282135 0.05928896740078926 0.9450387954711914 0.0002230092213721946
    1.2.826.0.1.3680043.8.498.92294403532236154987479939803565185439 0.0019736108370125294 0.004529413301497698 0.00306668970733881 0.002452528802677989 0.0039022646378725767 0.0024371021427214146 0.03235293924808502 0.2593801021575928 0.387351930141449 0.5657891035079956 0.0045570493675768375
    1.2.826.0.1.3680043.8.498.73751785380612644424928959971539571517 0.0007560326484963298 0.0009592045098543167 0.0011564511805772781 0.0013763511087745428 0.0020649826619774103 0.00024013574875425547 0.001007758779451251 0.35744982957839966 0.43174776434898376 0.3845902979373932 0.0006685592816211283
    1.2.826.0.1.3680043.8.498.86513939786557831659201595192742638859 0.00020032431348226964 0.00027789463638328016 0.0004242236609570682 0.00035145500442013144 0.000612098490819335 6.579391629202291e-05 0.0012504871701821685 0.006624337285757065 0.028114471584558487 0.973816990852356 8.528412581654266e-05
    1.2.826.0.1.3680043.8.498.59273717789503111954435238767962287574 0.0002520206035114825 0.0003213301533833146 0.0002917134261224419 0.0004120662924833596 0.0008361791260540485 4.256382817402482e-05 0.002857882296666503 0.13687506318092346 0.4360418915748596 0.5373542308807373 0.0002848957956302911
    1.2.826.0.1.3680043.8.498.80385813958575200627055440301316237229 0.00033632077975198627 0.0007274950621649623 0.0007452252903021872 0.00046277843648567796 0.0008215446141548455 4.5485827286029235e-05 0.002768186153843999 0.14498285949230194 0.5713003277778625 0.3473573625087738 0.00038970957393758
    1.2.826.0.1.3680043.8.498.12651587906906337705140668422615134228 0.00010674727673176676 0.00014781829668208957 0.0003694788319990039 0.00033042559516616166 0.0002221988106612116 0.0007437561871483922 6.474521069321781e-05 0.005771404132246971 0.06396637856960297 0.9583621025085449 0.0001297378184972331
    1.2.826.0.1.3680043.8.498.10831269255080866719708942029750604395 0.00015359932149294764 0.0002349234709981829 0.0003234354662708938 0.0003287627478130162 0.00023699607118032873 0.0003228199784643948 0.00012577124289236963 0.02035069651901722 0.047980695962905884 0.9705860018730164 0.00014492211630567908
    1.2.826.0.1.3680043.8.498.63841400079226722557753413254231821911 0.00029767240630462766 0.0006196900503709912 0.0009700427763164043 0.0008827472920529544 0.0010811315150931478 0.00011842065578093752 0.0010687620379030704 0.013540630228817463 0.19494172930717468 0.8792735934257507 0.00024633249267935753
    1.2.826.0.1.3680043.8.498.13374391235270355818144133157529368787 0.001485816785134375 0.002083526225760579 0.0014163090381771326 0.0023770276457071304 0.0031832419335842133 0.0005643063923344016 0.005281125195324421 0.15840043127536774 0.3605649769306183 0.6290776133537292 0.0021755611523985863
    1.2.826.0.1.3680043.8.498.25557651291138934660458444593108124893 0.00031744028092361987 0.0003341680276207626 0.00032201188150793314 0.0004458674811758101 0.000836391351185739 4.253084625815973e-05 0.0010543286334723234 0.23997798562049866 0.6330747008323669 0.18505151569843292 0.00036285692476667464
    1.2.826.0.1.3680043.8.498.42104157996631599301662788084940651519 0.00044111028546467423 0.0003591999411582947 0.00046426928020082414 0.0010732614900916815 0.000917484168894589 0.0002462361298967153 0.0008804170647636056 0.513007402420044 0.13953019678592682 0.3776528537273407 0.0004430004919413477
    1.2.826.0.1.3680043.8.498.92851942685070123820430773137423899568 0.00022896267182659358 0.0004742802120745182 0.00204698508605361 0.0005637729773297906 0.0006994444993324578 0.00011845808330690488 0.0012805754086002707 0.012731097638607025 0.13259769976139069 0.9365954399108887 0.000124184851301834
    1.2.826.0.1.3680043.8.498.31274458642345569075912165735715055236 0.00024245255917776376 0.00018405934679321945 0.00027313228929415345 0.00046418383135460317 0.0007001225021667778 2.587416020105593e-05 0.0005209470400586724 0.0094778873026371 0.03888346627354622 0.9704809188842773 0.0001602992124389857
    1.2.826.0.1.3680043.8.498.65215963504233803556630310936399943648 0.0003552837879396975 0.0012410588096827269 0.003718049032613635 0.00154720654245466 0.0003357711248099804 0.013201376423239708 0.00011831089796032757 0.11403955519199371 0.2494354248046875 0.7060043215751648 0.011366885155439377
    1.2.826.0.1.3680043.8.498.10205475317020372540684388829189744895 0.00038192575448192656 0.00028176751220598817 0.0005797873018309474 0.0012922427849844098 0.0009302821126766503 0.0006068842485547066 0.00026567900204099715 0.020205870270729065 0.01602105423808098 0.9806000590324402 0.0001679126435192302
    1.2.826.0.1.3680043.8.498.12856533290490085312272828474554784098 0.00033473531948402524 0.0002555719984229654 0.00027492918889038265 0.0004590582975652069 0.0005598230054602027 8.576741674914956e-05 0.0002954064402729273 0.02664951980113983 0.3700611889362335 0.7058572173118591 0.00026285293279215693
    1.2.826.0.1.3680043.8.498.12039608475938290886433493000882661814 0.0069143204018473625 0.12505295872688293 0.41889262199401855 0.007227103225886822 0.014375385828316212 0.15710052847862244 0.8239291906356812 0.06213453412055969 0.5151476263999939 0.4046475887298584 0.0010541027877479792
    1.2.826.0.1.3680043.8.498.11612529337829593192349474302656189473 0.0025306749157607555 0.009304710663855076 0.026065444573760033 0.014196711592376232 0.015502038411796093 0.18271122872829437 0.02425776794552803 0.029734933748841286 0.4415341913700104 0.7382627725601196 0.004722160287201405
    1.2.826.0.1.3680043.8.498.13298891353615927677597035853525107129 0.006025423761457205 0.052935220301151276 0.6622622013092041 0.029693076387047768 0.04890955984592438 0.021175038069486618 0.05242222547531128 0.02044091187417507 0.08949387073516846 0.9016151428222656 0.0014333890285342932
    1.2.826.0.1.3680043.8.498.10133431865584842553503402698652486543 0.0001196922967210412 0.00018028430349659175 0.00044766865903511643 0.00030215835431590676 0.00020214465621393174 0.0005396679625846446 0.0001724916510283947 0.008990155532956123 0.02385588362812996 0.9788257479667664 0.00012498466821853071
    1.2.826.0.1.3680043.8.498.39637669642176055851066421859207789258 0.0006188141996972263 0.003239585552364588 0.9289523959159851 0.009436617605388165 0.026541713625192642 0.009542827494442463 0.030535031110048294 0.062486350536346436 0.1289099007844925 0.59036785364151 0.0006862371228635311
    1.2.826.0.1.3680043.8.498.98172170488083745309951488177694905264 0.00029126988374628127 0.0006223549135029316 0.0015410433989018202 0.0013019721955060959 0.0004941176739521325 0.0014976926613599062 0.00035728677175939083 0.06622558832168579 0.29522380232810974 0.7627602815628052 0.0003626539255492389
    1.2.826.0.1.3680043.8.498.38962677360586763779762264477352561902 0.010058547370135784 0.10340900719165802 0.5891268253326416 0.027820423245429993 0.048157431185245514 0.29808926582336426 0.11140003055334091 0.10860691219568253 0.43830880522727966 0.5825366377830505 0.009216982871294022
    1.2.826.0.1.3680043.8.498.12372581581840981172781948519290611282 0.0004023985820822418 0.00035064370604231954 0.0005613019457086921 0.0014841065276414156 0.00044543491094373167 0.0012502599274739623 0.0001511972805019468 0.212013840675354 0.2261360138654709 0.5091142654418945 0.0005138481501489878
    1.2.826.0.1.3680043.8.498.94828211008567446666302632832618697185 0.001106227864511311 0.0019723353907465935 0.0014149361522868276 0.0013184206327423453 0.001794086187146604 0.000666696229018271 0.00509842811152339 0.15509657561779022 0.733970046043396 0.2702966332435608 0.0008969824993982911
    1.2.826.0.1.3680043.8.498.63141010106529064516517774709473999671 0.0004264563322067261 0.0006887295166961849 0.0013253052020445466 0.0008972682990133762 0.0008082386921159923 0.0018480222206562757 0.0003271852037869394 0.28156352043151855 0.25092563033103943 0.5230960249900818 0.0006715962081216276
    1.2.826.0.1.3680043.8.498.54653742653815567066152092020216396197 0.00029813378932885826 0.0006933887489140034 0.0018260665237903595 0.0022327916231006384 0.0006549699464812875 0.006228749640285969 0.00019801294547505677 0.005597318522632122 0.032747771590948105 0.9844730496406555 0.0003215656033717096
    1.2.826.0.1.3680043.8.498.25388989594242399597748743861100746703 0.0001189596951007843 0.00015678818454034626 0.00024228377151302993 0.00023145151499193162 0.0003614535671658814 9.671493171481416e-05 0.00044847745448350906 0.0036695641465485096 0.04013494774699211 0.9830265045166016 5.268022505333647e-05
    1.2.826.0.1.3680043.8.498.94599630251339195299575011223844868581 0.0007187010487541556 0.000711707049049437 0.0011040072422474623 0.0018841564888134599 0.0011058802483603358 0.0006011895602568984 0.0006095272256061435 0.17851535975933075 0.19048306345939636 0.591051459312439 0.0007311364752240479
    1.2.826.0.1.3680043.8.498.61635434060540942557005287447179544226 0.01112064067274332 0.18959400057792664 0.7058459520339966 0.08374860137701035 0.05095261335372925 0.7334393262863159 0.09872578084468842 0.020477980375289917 0.10407593101263046 0.9193931818008423 0.0037748017348349094
    1.2.826.0.1.3680043.8.498.82407322810633623269695040674088083664 0.000333344069076702 0.0005542716244235635 0.0009265884873457253 0.00045622102334164083 0.0009595174342393875 0.00023342078202404082 0.0013180712703615427 0.020667484030127525 0.039907120168209076 0.9732052087783813 0.00014239485608413815
    1.2.826.0.1.3680043.8.498.11437821481616455338851305839272926083 0.00038090121233835816 0.00045825858251191676 0.0006079780869185925 0.0006337958620861173 0.0010873733554035425 6.233983731362969e-05 0.002703349571675062 0.018675317987799644 0.09716951847076416 0.9475868940353394 0.000266576447756961
    1.2.826.0.1.3680043.8.498.12836219758287397934944048426271345707 0.0002535591193009168 0.00019754594541154802 0.00016829193918965757 0.00034880806924775243 0.00044218156835995615 3.8310514355544e-05 0.0002305737289134413 0.0087499488145113 0.13945552706718445 0.862196147441864 0.00016245318693108857
    1.2.826.0.1.3680043.8.498.32480395466030222960783222923879841260 0.0002745997335296124 0.00017586575995665044 0.00011382906086510047 0.0005111338687129319 0.0004618190578185022 7.019460463197902e-05 0.00029627978801727295 0.021112916991114616 0.17501606047153473 0.8633115887641907 0.00020829397544730455
    1.2.826.0.1.3680043.8.498.19587553196806430661473028115875501620 0.00039535044925287366 0.000380125071387738 0.0005151438526809216 0.0009127420489676297 0.0006902686436660588 0.0007310436922125518 0.0002765266108326614 0.0357707217335701 0.06605546176433563 0.9469985961914062 0.0003915374691132456
    1.2.826.0.1.3680043.8.498.10066780068242380208709732153905010206 0.0002569354837760329 0.00017314255819655955 0.00014683904009871185 0.0005933954380452633 0.00018030677165370435 0.00042299405322410166 4.692021684604697e-05 0.03819603845477104 0.14961311221122742 0.8060768842697144 0.0003102367336396128
    1.2.826.0.1.3680043.8.498.14938414082020642587221374634781184486 9.888556087389588e-05 7.632955384906381e-05 8.643054025014862e-05 0.0001555007474962622 0.00017143937293440104 2.189697806898039e-05 0.00011841722152894363 0.010614884085953236 0.04002900794148445 0.9691047668457031 5.6481560022803023e-05
    1.2.826.0.1.3680043.8.498.74095512567131669577301813670661269126 0.0003553586429916322 0.0005239080055616796 0.0003302115073893219 0.00025819428265094757 0.0005383160896599293 3.292791734565981e-05 0.016023850068449974 0.056750696152448654 0.14421096444129944 0.8337551355361938 0.0004912003641948104
    1.2.826.0.1.3680043.8.498.30834114403153065860239523324913269565 0.0001992743054870516 0.00013070693239569664 0.00024452104116789997 0.0006225009565241635 0.0006425634492188692 4.7263245505746454e-05 0.00023573434737045318 0.021763894706964493 0.0867067351937294 0.8485331535339355 0.00016733403026591986
    1.2.826.0.1.3680043.8.498.84738970811889083735715056303099462378 0.0008971142815425992 0.0008961457060649991 0.0007665902958251536 0.0015235956525430083 0.0023275534622371197 0.00022544871899299324 0.0007928615668788552 0.38889366388320923 0.4055408537387848 0.20959313213825226 0.0008579470450058579
    1.2.826.0.1.3680043.8.498.86403494404335391566468854113292666358 0.0005708966054953635 0.0007314973627217114 0.00136111443862319 0.0014326462987810373 0.0014146710745990276 0.001528270309790969 0.0015125503996387124 0.07774299383163452 0.18570426106452942 0.7699857950210571 0.0005313425208441913
    1.2.826.0.1.3680043.8.498.12715387212601818052470074366852999437 0.006698916666209698 0.011187619529664516 0.008132221177220345 0.02173677273094654 0.07933539152145386 0.020960189402103424 0.866840660572052 0.04013694077730179 0.22505371272563934 0.6544516086578369 0.0036554455291479826
    1.2.826.0.1.3680043.8.498.49495927190666585284338996530772026480 0.0005977127584628761 0.0007091017323546112 0.0006585015216842294 0.0011985902674496174 0.002034212462604046 0.0007435798179358244 0.0035784835927188396 0.06996609270572662 0.5489674210548401 0.6423737406730652 0.0013286200119182467
    1.2.826.0.1.3680043.8.498.89508241915158531074217914184346206813 0.00023390629212372005 0.00015678978525102139 0.0002523589937482029 0.00044520775554701686 0.0005644105258397758 6.243035022635013e-05 0.00022959949274081737 0.019979353994131088 0.07395869493484497 0.9185622334480286 0.00016851929831318557
    1.2.826.0.1.3680043.8.498.81213570103346265872528196065047648536 0.00013050393317826092 0.00012267428974155337 0.00024284477694891393 0.00021136218856554478 0.00033908875775523484 4.7157092922134325e-05 0.00034486473305150867 0.0035435601603239775 0.019947092980146408 0.9849432706832886 5.044973295298405e-05
    1.2.826.0.1.3680043.8.498.67477975914800536129714012627981275130 0.00021211590501479805 0.00022952549625188112 0.0002862185356207192 0.000468237092718482 0.0002419102966086939 0.0006324737914837897 0.00011257367441430688 0.03849164396524429 0.7183586955070496 0.4350944459438324 0.00034292772761546075
    1.2.826.0.1.3680043.8.498.65115737290393527449159162439540060289 0.0004018074832856655 0.00031695925281383097 0.00038788834353908896 0.0005905118305236101 0.0005600775475613773 0.0003098047454841435 0.00047075696056708694 0.02574567124247551 0.11602240800857544 0.8867917060852051 0.0002905086730606854
    1.2.826.0.1.3680043.8.498.49169602090858471659428720341294189465 0.0002469942264724523 0.0003260654048062861 0.0003767487942241132 0.00032008910784497857 0.0006225848919712007 3.476948040770367e-05 0.0008510816842317581 0.02692464366555214 0.031246796250343323 0.9653547406196594 8.675151184434071e-05
    1.2.826.0.1.3680043.8.498.11880393061006777717636991048656092427 0.00023650801449548453 0.00018735758203547448 0.00016226903244387358 0.0003863670281134546 0.00030780344968661666 0.00020482088439166546 0.00014009409642312676 0.027653325349092484 0.11411033570766449 0.8416817784309387 0.00018894902314059436
    1.2.826.0.1.3680043.8.498.12056339323736959950637074440288337517 0.00015586694644298404 0.0001843523932620883 0.0005790900904685259 0.0006967909866943955 0.0002487038145773113 0.0014508671592921019 5.202582178753801e-05 0.018679991364479065 0.02446041814982891 0.9753754734992981 0.00019542229711078107
    1.2.826.0.1.3680043.8.498.10910080984925239682913719126272871405 0.002583275781944394 0.003147512674331665 0.003753124503418803 0.013469981960952282 0.008347628638148308 0.031070208176970482 0.0052279094234108925 0.5358651876449585 0.17847497761249542 0.6105048060417175 0.004022478591650724
    1.2.826.0.1.3680043.8.498.59280752223832273642089699961040777037 0.008882876485586166 0.1113872081041336 0.2971971929073334 0.062258947640657425 0.06854541599750519 0.6012905836105347 0.08460132777690887 0.057559169828891754 0.13076511025428772 0.2511623501777649 0.0031124490778893232
    1.2.826.0.1.3680043.8.498.10215236133587617196186622413558596804 0.0009088290971703827 0.010577285662293434 0.9918543100357056 0.011105651035904884 0.037554897367954254 0.026417264714837074 0.16762833297252655 0.11618441343307495 0.3431280553340912 0.4540443420410156 0.027042385190725327
    1.2.826.0.1.3680043.8.498.22092789657440319476269370895486115078 0.00027854711515828967 0.0003182619111612439 0.0002789493009913713 0.00039220289909280837 0.0007289699860848486 6.52181770419702e-05 0.0004551693855319172 0.016740718856453896 0.04021432623267174 0.9582697749137878 0.00011784228263422847
    1.2.826.0.1.3680043.8.498.10924388489546099545449984663040821731 0.0002733954170253128 0.00018572589033283293 0.00019521627109497786 0.00045557660632766783 0.0003975536674261093 0.0001622328709345311 0.00019175963825546205 0.01654214598238468 0.06933728605508804 0.9434946179389954 0.00021707538689952344
    1.2.826.0.1.3680043.8.498.13291879592524869067872141521273869754 0.002814581850543618 0.03688235953450203 0.9344693422317505 0.011901901103556156 0.08042357116937637 0.010248616337776184 0.5843150615692139 0.07382388412952423 0.150727316737175 0.35943669080734253 0.0004998878575861454
    1.2.826.0.1.3680043.8.498.76100710081200907445662231056700939306 0.00011705623182933778 0.00010201018449151888 0.00021747176651842892 0.0005199577426537871 0.00011654449917841703 0.0004708169144578278 3.292272231192328e-05 0.010957730002701283 0.027063723653554916 0.9736007452011108 8.696849545231089e-05
    1.2.826.0.1.3680043.8.498.25255561537448056402344392709161221975 0.00027766224229708314 0.00020170021161902696 0.00026703279581852257 0.0003875480906572193 0.0003254608600400388 0.00034522582427598536 0.00010318730346625671 0.16706161201000214 0.13620106875896454 0.6976355910301208 0.00023025220434647053
    1.2.826.0.1.3680043.8.498.11640080619934608146976107148307773572 0.00034743762807920575 0.0006273287581279874 0.0003455949481576681 0.0005224364576861262 0.0007050381391309202 4.648882895708084e-05 0.001387878437526524 0.09283165633678436 0.7074118256568909 0.4529028534889221 0.0004417433519847691
    1.2.826.0.1.3680043.8.498.61808425522022563232356120563896122532 0.00013186833530198783 0.00010210782056674361 0.00012978720769751817 0.0003560311743058264 0.00020374047744553536 0.00019717989198397845 2.9375758458627388e-05 0.015875358134508133 0.02904665097594261 0.955988883972168 7.083259697537869e-05
    1.2.826.0.1.3680043.8.498.72857883812172752225683744458563954899 0.00022741004067938775 0.00021129773813299835 0.0002501210547052324 0.0004583578556776047 0.00031290826154872775 0.0006012466619722545 0.00012069490912836045 0.016140619292855263 0.047208212316036224 0.9461468458175659 0.00017886281420942396
    1.2.826.0.1.3680043.8.498.68983049032824502536207743538819360006 0.0008333490113727748 0.008115286007523537 0.987431526184082 0.007203118409961462 0.027410980314016342 0.010126112960278988 0.08758973330259323 0.09899260848760605 0.5491753816604614 0.6041685938835144 0.00048394285840913653
    1.2.826.0.1.3680043.8.498.11673190160624493838189104805691724409 0.00045807118294760585 0.0007956288754940033 0.001636030152440071 0.001161585794761777 0.0018562029581516981 0.0006376277888193727 0.0017177393892779946 0.025877464562654495 0.23885603249073029 0.9018924832344055 0.0013427308294922113
    1.2.826.0.1.3680043.8.498.57356790301735031912584506314923368749 9.64539940468967e-05 6.365066656144336e-05 0.0001077177221304737 0.0002871102769859135 0.0001278221170650795 0.00012737722136080265 2.6239242288284004e-05 0.014416852965950966 0.07007803022861481 0.9227654337882996 7.33967317501083e-05
    1.2.826.0.1.3680043.8.498.11445764825719642557385173253544328105 0.0003338949754834175 0.0006844940362498164 0.0018864799058064818 0.002338431542739272 0.0016665530856698751 0.019199836999177933 0.00044158875243738294 0.011453347280621529 0.024441827088594437 0.9632457494735718 0.0003095316351391375
    1.2.826.0.1.3680043.8.498.85611734343024698195099721538254547414 0.0005554092349484563 0.0006225254037417471 0.0008246108191087842 0.0008758253534324467 0.001714967773295939 0.0002942342543974519 0.00154380954336375 0.6076317429542542 0.2886448800563812 0.1733294427394867 0.0007157734362408519
    1.2.826.0.1.3680043.8.498.62979003394195312636169637204589005543 0.00015549350064247847 0.000130516491481103 0.00018810806795954704 0.0005060926778241992 0.00026780032203532755 0.00034833847894333303 7.97052271082066e-05 0.004511771257966757 0.02231024205684662 0.9810713529586792 9.717473585624248e-05
    1.2.826.0.1.3680043.8.498.10639751142822939015616831958661387367 0.0003278024378232658 0.00045779714128002524 0.0005499387625604868 0.0006607740069739521 0.0007595334900543094 0.0003233970492146909 0.0012451556976884604 0.02346312440931797 0.023903343826532364 0.9727784991264343 0.00022146955598145723
    1.2.826.0.1.3680043.8.498.57019774965950810541105499741407654409 0.00617255037650466 0.11137497425079346 0.8313239812850952 0.03176572918891907 0.023076942190527916 0.3752976953983307 0.020833048969507217 0.017631081864237785 0.07068048417568207 0.8744487762451172 0.0005168062052689493
    1.2.826.0.1.3680043.8.498.15838228811767018707133668259571974910 0.00014570255007129163 0.00011415775952627882 0.00010679724800866097 0.0002790539001580328 0.00039389487938024104 1.4983137589297257e-05 0.00016713538207113743 0.02528626099228859 0.19470123946666718 0.8378270864486694 0.00014678487787023187
    1.2.826.0.1.3680043.8.498.53670202605432603482409296137013549928 0.0004650226328521967 0.00037508452078327537 0.0006762006669305265 0.0009553058189339936 0.0006743693957105279 0.0007176788640208542 0.0003163830260746181 0.10889500379562378 0.20121821761131287 0.6639967560768127 0.0004753954126499593
    1.2.826.0.1.3680043.8.498.29899428721072734902647447872206686813 0.000444753939518705 0.00037289620377123356 0.0004484649689402431 0.0009778725216165185 0.0008369673159904778 0.0007689130143262446 0.0002377639029873535 0.03368058055639267 0.09044943004846573 0.8602058291435242 0.0003991863632109016
    1.2.826.0.1.3680043.8.498.79500364912852720229552548543291892844 0.00021088027278892696 0.00021811721671838313 0.00024730811128392816 0.0003809368354268372 0.00027851967024616897 0.00052091502584517 6.411435606423765e-05 0.04816992208361626 0.05704865977168083 0.9270532727241516 0.00012627731484826654
    1.2.826.0.1.3680043.8.498.10889028088398509027749298497460705563 0.00026411647559143603 0.00029463713872246444 0.0002436065551592037 0.0004769650404341519 0.0005145312752574682 5.158856583875604e-05 0.00033594114938750863 0.02454620972275734 0.5083736777305603 0.6420914530754089 0.0002256483567180112
    1.2.826.0.1.3680043.8.498.78173101862186124119613951085328377353 9.890585351968184e-05 6.715008930768818e-05 0.00016492194845341146 0.00023618996783625335 0.00018967657524626702 7.617536903126165e-05 6.065965135348961e-05 0.004404412116855383 0.037896186113357544 0.9667126536369324 4.580998938763514e-05
    1.2.826.0.1.3680043.8.498.27780198493799582930904153799601407079 0.00924019142985344 0.3208547532558441 0.6798299551010132 0.007509063929319382 0.023802459239959717 0.0023652189411222935 0.8782649040222168 0.055530183017253876 0.2554939389228821 0.22376231849193573 0.0005615879781544209
    1.2.826.0.1.3680043.8.498.29803753293426833050134239521550568372 0.00017245365597773343 0.00011201823508599773 0.00021637552708853036 0.0001953230530489236 0.00023016035265754908 0.00010549843136686832 0.0001642543647903949 0.0580354705452919 0.15670937299728394 0.7970181107521057 0.0001534188777441159
    1.2.826.0.1.3680043.8.498.62694440882668129863368801257938758878 0.00021050528448540717 0.0001650335907470435 0.0003964487405028194 0.0010956574697047472 0.00033613559207879007 0.0008238370646722615 6.418900738935918e-05 0.020038237795233727 0.05522701144218445 0.9219282865524292 0.00026515970239415765
    1.2.826.0.1.3680043.8.498.14509273554050382693172168191171952603 0.0001577565271873027 0.00010540137009229511 0.0002346988330828026 0.0002985919127240777 0.0003897414426319301 6.976786244194955e-05 0.00019718969997484237 0.0044876402243971825 0.0383467823266983 0.9644227027893066 9.238066559191793e-05
    1.2.826.0.1.3680043.8.498.11960860248848821440606671414434115080 0.000151517684571445 0.0007407733937725425 0.9968307614326477 0.010249987244606018 0.018316317349672318 0.009389424696564674 0.0073199099861085415 0.041480906307697296 0.1829790472984314 0.44398364424705505 0.00016627828881610185
    1.2.826.0.1.3680043.8.498.40151121052211560314930387511665166451 0.0003386990283615887 0.00020118671818636358 0.0002892262418754399 0.00047185993753373623 0.0005434347549453378 7.637799717485905e-05 0.00030637887539342046 0.018666235730051994 0.08586861193180084 0.9023715853691101 0.00024518126156181097
    1.2.826.0.1.3680043.8.498.50748549246719878004278597381411645777 0.0004991109599359334 0.0006302507827058434 0.0007894806331023574 0.001623233431018889 0.0005099974223412573 0.002702004974707961 0.00017988707986660302 0.03576696664094925 0.2977805733680725 0.7138305902481079 0.0006432468071579933
    1.2.826.0.1.3680043.8.498.89741272107205423514339634132222073586 0.0004091641749255359 0.00030346738640218973 0.00038299328298307955 0.0008657326688989997 0.0008134981617331505 0.0003810104390140623 0.00036839800304733217 0.040463887155056 0.25708359479904175 0.7288437485694885 0.00038541285903193057
    1.2.826.0.1.3680043.8.498.85609421015658867774030873492146364828 0.0003869376960210502 0.0004094015748705715 0.0004585102142300457 0.000651442154776305 0.0010524180252104998 0.0001051917570293881 0.0008772216970100999 0.01933571696281433 0.3576631546020508 0.718272864818573 0.00022834159608464688
    1.2.826.0.1.3680043.8.498.11150334223512872342959488498466018240 0.0035316613502800465 0.16048337519168854 0.684291422367096 0.002017457503825426 0.019533812999725342 0.011719198897480965 0.9736563563346863 0.02754138968884945 0.17713700234889984 0.4202774167060852 0.00032020395155996084
    1.2.826.0.1.3680043.8.498.12605878910076733974009269873386975944 0.00224745599552989 0.11091332137584686 0.9134880304336548 0.0024138048756867647 0.017805850133299828 0.01007786113768816 0.9207090139389038 0.044899992644786835 0.24609939754009247 0.9190400242805481 0.0017094884533435106
    1.2.826.0.1.3680043.8.498.11186074980121677413390422935063169470 0.000369314628187567 0.0009443534654565156 0.0007320779259316623 0.0003235623298678547 0.0004987685824744403 5.5257987696677446e-05 0.010432746261358261 0.03590894490480423 0.19421513378620148 0.8729500770568848 0.00035674788523465395
    1.2.826.0.1.3680043.8.498.74411218319071054408667784792360596590 0.00026414674357511103 0.00025266414741054177 0.00021614534489344805 0.0004589437448885292 0.00034350442001596093 0.0004160758981015533 0.0002081061975331977 0.3336973190307617 0.5857008695602417 0.12233805656433105 0.00032126548467203975
    1.2.826.0.1.3680043.8.498.40967075616147183361062070144791389116 0.00021008800831623375 0.0001992310571949929 0.00026751766563393176 0.0003295579517725855 0.00037151348078623414 9.769680036697537e-05 0.00027004623552784324 0.027554702013731003 0.035430990159511566 0.9520877599716187 0.0001499683130532503
    1.2.826.0.1.3680043.8.498.71798113345485790407870659911367368351 0.007205058820545673 0.17364777624607086 0.7167003750801086 0.05256593972444534 0.036672256886959076 0.784803032875061 0.07372268289327621 0.026055190712213516 0.1396370530128479 0.8964549899101257 0.0019543529488146305
    1.2.826.0.1.3680043.8.498.19393338617070388287380238469641671152 0.0010437779128551483 0.0026008158456534147 0.0035305428318679333 0.0016213099006563425 0.002085683401674032 0.0010757899144664407 0.007067021913826466 0.02733491361141205 0.2291669398546219 0.7314103841781616 0.0005571860820055008
    1.2.826.0.1.3680043.8.498.90382603935828938600303158413761743331 0.0016321910079568624 0.003722941502928734 0.015435241162776947 0.013549307361245155 0.012170293368399143 0.1884613037109375 0.01691615581512451 0.017169924452900887 0.22437243163585663 0.9167739748954773 0.0018527440261095762
    1.2.826.0.1.3680043.8.498.10406655547089273425413076647645437319 0.0002762928488664329 0.0005056351656094193 0.001285032951273024 0.0006958228768780828 0.0006253343308344483 0.001229240675456822 0.0004551036690827459 0.28585273027420044 0.37467101216316223 0.40691128373146057 0.0005870886379852891
    1.2.826.0.1.3680043.8.498.57432042771971958397233200766713467572 0.0006841325666755438 0.0005004237173125148 0.0005882683908566833 0.0012102179462090135 0.0020074467174708843 0.0001270904904231429 0.0012855685781687498 0.045042507350444794 0.2471555918455124 0.6895845532417297 0.0005757052567787468
    1.2.826.0.1.3680043.8.498.10364366346374678830685276914345591965 9.647927799960598e-05 5.5606164096388966e-05 0.00016641439287923276 0.00022638468362856656 0.00019201182294636965 6.0126196331111714e-05 4.4267748307902366e-05 0.006234442815184593 0.109746053814888 0.8756211400032043 6.243896496016532e-05
    1.2.826.0.1.3680043.8.498.70102734537555391918894165456372115343 0.0002175515255657956 0.00017456989735364914 0.0002890561008825898 0.0005559604614973068 0.0004169057065155357 0.00015158383757807314 0.00010144538100576028 0.046527694910764694 0.14954090118408203 0.865095317363739 0.00020893030159641057
    1.2.826.0.1.3680043.8.498.12896972710386412991319126951623251434 0.0006715393392369151 0.0008402899838984013 0.0012667160481214523 0.0018538683652877808 0.003118114545941353 0.0006260683876462281 0.0036544143222272396 0.0535200759768486 0.24088962376117706 0.8807004690170288 0.0004926944966427982
    1.2.826.0.1.3680043.8.498.14636564349524937765935635700825064352 0.00019262211571913213 0.0002120564749930054 0.000322753272484988 0.0002763698576018214 0.00036189481033943594 0.00016775043332017958 0.00019052744028158486 0.011127626523375511 0.018138175830245018 0.9816244840621948 7.13354311301373e-05
    1.2.826.0.1.3680043.8.498.72381706849224415453331508754324332481 0.00022120829089544713 0.00022381314192898571 0.000278345076367259 0.00034246244467794895 0.00022038290626369417 0.00028385379118844867 0.00025568317505531013 0.07265514135360718 0.3115410804748535 0.6518630981445312 0.000200729351490736
    1.2.826.0.1.3680043.8.498.50610853435032109032894352852059742461 0.000280252774246037 0.0022345329634845257 0.9951416254043579 0.02119520865380764 0.006959029473364353 0.14578329026699066 0.0017941478872671723 0.04221215099096298 0.1594999134540558 0.7389417886734009 0.0006909026415087283
    1.2.826.0.1.3680043.8.498.11733997069674030803078971141727206504 0.0013459548354148865 0.0015551919350400567 0.0011489137541502714 0.002180892275646329 0.004524651449173689 0.0003595699672587216 0.0035830442793667316 0.2923320233821869 0.5147760510444641 0.3871723711490631 0.001616859226487577
    1.2.826.0.1.3680043.8.498.37848046698943546383770588799236636116 0.0004058761114720255 0.0009263174724765122 0.002097013406455517 0.0005524655571207404 0.0011585765751078725 0.00017977945390157402 0.002826474839821458 0.032209787517786026 0.038251183927059174 0.951638400554657 0.00017909600865095854
    1.2.826.0.1.3680043.8.498.64571929245343078763977108279331161569 0.00034910955582745373 0.00038835484883747995 0.0005975128151476383 0.0009584110230207443 0.0009429844212718308 0.0008684109780006111 0.001173521624878049 0.009581359103322029 0.05240214988589287 0.9695783853530884 0.0003062236646655947
    1.2.826.0.1.3680043.8.498.87376132442302348458946749149905026818 0.0010070453863590956 0.0017399914795532823 0.0010722789447754622 0.0014237803407013416 0.0023683314211666584 0.000923355866689235 0.0053862882778048515 0.41214245557785034 0.41458240151405334 0.5028642416000366 0.0025389892980456352
    1.2.826.0.1.3680043.8.498.54316924655659330826192269320656987499 0.00010719483543653041 0.00014594639651477337 0.001108191441744566 0.00032305988133884966 0.0003197119804099202 0.0005189639050513506 0.00013200526882428676 0.003388528246432543 0.023596514016389847 0.9819430112838745 5.599352880381048e-05
    1.2.826.0.1.3680043.8.498.63227188808230870270569782717496119292 0.0007635680958628654 0.0008502330747433007 0.0008411360904574394 0.001372765051200986 0.0021173316054046154 0.0003409382188692689 0.003204595996066928 0.24078905582427979 0.2833438515663147 0.4846962094306946 0.000742814561817795
    1.2.826.0.1.3680043.8.498.47944202800655839003392211126117922084 0.0004972041351720691 0.0005606944905593991 0.0009248433634638786 0.001233001472428441 0.0011868689907714725 0.0006667385459877551 0.0005213430849835277 0.021768495440483093 0.1871342808008194 0.8583760261535645 0.00035561801632866263
    1.2.826.0.1.3680043.8.498.10651449912754526741631642998115059794 0.0001698595442576334 0.00019285401504021138 0.00044431546120904386 0.0003395026142243296 0.0004966556443832815 0.0002646825450938195 0.0002461219555698335 0.009293624199926853 0.07560931146144867 0.9490569233894348 0.00012661161599680781
    1.2.826.0.1.3680043.8.498.55883025488180512322036999134810080626 0.0007623728597536683 0.0007565715350210667 0.002084296429529786 0.0029114794451743364 0.003950352780520916 0.0012511512031778693 0.002964222338050604 0.7633286714553833 0.12208263576030731 0.14386101067066193 0.0007637562230229378
    1.2.826.0.1.3680043.8.498.83240759260046366058096180203383109382 0.0002086312451865524 0.0004029381088912487 0.0005419275839813054 0.0005671876133419573 0.00025912202545441687 0.0020987882744520903 0.00025439655291847885 0.025124376639723778 0.05517919734120369 0.968361496925354 0.000298705039313063
    1.2.826.0.1.3680043.8.498.74189961195811861455781184077075216782 0.005878685973584652 0.0711488127708435 0.9321441650390625 0.04346178472042084 0.08831316977739334 0.16133427619934082 0.6361594200134277 0.06313278526067734 0.3447214961051941 0.4133029878139496 0.003752235323190689
    1.2.826.0.1.3680043.8.498.38895832128314334333931235419610748917 0.0004619011306203902 0.001028427854180336 0.002107531065121293 0.001142491470091045 0.001776563934981823 0.0016569916624575853 0.001739933737553656 0.01509829144924879 0.04088837653398514 0.9757095575332642 0.00019397908181417733
    1.2.826.0.1.3680043.8.498.86613877250927730426517208886378170321 0.00034143563243560493 0.00045505198067985475 0.0009729599696584046 0.0009181802161037922 0.0007984829135239124 0.0014407325070351362 0.0009081991156563163 0.025874178856611252 0.13192950189113617 0.8640880584716797 0.0003462396271061152
    1.2.826.0.1.3680043.8.498.88484006562354054297902593161052241432 0.0002570906071923673 0.0001825156796257943 0.00016717569087632 0.0004089826834388077 0.00039757677586749196 4.556481871986762e-05 0.0004613669589161873 0.061086952686309814 0.13657063245773315 0.7766951322555542 0.00021086205379106104
    1.2.826.0.1.3680043.8.498.23628841926681382432984979197632671003 0.0004080095677636564 0.00038358988240361214 0.0004811092803720385 0.0008292097481898963 0.0009420227142982185 0.00012135841097915545 0.0004638514365069568 0.01737666130065918 0.34484124183654785 0.7010954022407532 0.00027380307437852025
    1.2.826.0.1.3680043.8.498.26977734269364109265847951439723562350 0.005641276016831398 0.13051344454288483 0.7554464936256409 0.007621412165462971 0.06880652904510498 0.03881930559873581 0.8591715693473816 0.11639346182346344 0.19947993755340576 0.8183363080024719 0.0029759209137409925
    1.2.826.0.1.3680043.8.498.10183031013575166111337678056696292985 0.00027660769410431385 0.00015583194908685982 0.000322764681186527 0.0005372166051529348 0.0006544310599565506 8.500873809680343e-05 0.00022959368652664125 0.017114631831645966 0.044109128415584564 0.9493869543075562 0.00017911670147441328
    1.2.826.0.1.3680043.8.498.84378374474165685294492340807913480348 0.0003699189401231706 0.0003033278335351497 0.00025312817888334394 0.000861660111695528 0.00047970848390832543 0.0006022325833328068 0.0001324846234638244 0.02549072541296482 0.1985442191362381 0.7781995534896851 0.0002843349357135594
    1.2.826.0.1.3680043.8.498.14559085958719663903180386464605467747 0.0005396819906309247 0.0009404896991327405 0.001193407690152526 0.00043831346556544304 0.0006447425112128258 0.0009341921540908515 0.0007495814934372902 0.03201378136873245 0.1648651659488678 0.7872065901756287 0.0002607069618534297
    1.2.826.0.1.3680043.8.498.35853993916192669666942847513031413176 0.00033580567105673254 0.0003195451572537422 0.0002877375518437475 0.0005493800272233784 0.0005472780903801322 0.0006001522415317595 0.0001713220408419147 0.08198630809783936 0.2943670153617859 0.6192120313644409 0.00036904975422658026
    1.2.826.0.1.3680043.8.498.43978260798978902260146734485951284318 0.00011510105105116963 0.0001730337826302275 0.0006233993917703629 0.00016644244897179306 0.00022403569892048836 0.00010595841013127938 0.00169330183416605 0.029275845736265182 0.20541557669639587 0.8533317446708679 0.00022022803022991866
    1.2.826.0.1.3680043.8.498.31964331119392087315699279158431188052 0.00022699925466440618 0.00013472518185153604 0.00022006698418408632 0.00040215911576524377 0.0004998380318284035 5.7258806918980554e-05 0.00019121798686683178 0.011618578806519508 0.04229903966188431 0.9643523097038269 0.00012289045844227076
    1.2.826.0.1.3680043.8.498.78540486908029087356352375486044411684 0.0001958213106263429 0.0002991716028191149 0.00033920526038855314 0.00024050529464147985 0.00034334580413997173 2.7543874239199795e-05 0.0008197490824386477 0.020059440284967422 0.06944838911294937 0.9337983131408691 0.00013045618834439665
    1.2.826.0.1.3680043.8.498.43091053600153135406302926284708449359 6.072932592360303e-05 9.231957665178925e-05 0.0003405195311643183 0.00015580793842673302 0.0001555945782456547 0.00020916317589581013 0.0001496669283369556 0.005696605890989304 0.008823757991194725 0.9954856634140015 4.010198972537182e-05
    1.2.826.0.1.3680043.8.498.93151704087131652429806857878941023202 0.00033405370777472854 0.000760892522521317 0.0024683750234544277 0.0009363200515508652 0.0007053212029859424 0.0012287795543670654 0.0006094981217756867 0.03810352459549904 0.047164179384708405 0.9748101234436035 0.00015336919750552624
    1.2.826.0.1.3680043.8.498.72981812957009787018464421546964807969 0.0002738084294833243 0.00026001990772783756 0.0003267379361204803 0.00037157407496124506 0.00048388983123004436 4.53845459560398e-05 0.0003273063921369612 0.029899975284934044 0.25123798847198486 0.7082818746566772 0.00016234922804869711
    1.2.826.0.1.3680043.8.498.79515099512539655882008769138779814417 0.0013811362441629171 0.005915123037993908 0.032987792044878006 0.003928851801902056 0.0073057361878454685 0.0012878471752628684 0.017918188124895096 0.16538915038108826 0.27153483033180237 0.5602803826332092 0.0008997286786325276
    1.2.826.0.1.3680043.8.498.98123998410680948531330798155299218913 0.0005227277870289981 0.0004942328087054193 0.0007313647656701505 0.0011188919888809323 0.0014019443187862635 0.00031120816129259765 0.00038733106339350343 0.02965087816119194 0.45572930574417114 0.6595678329467773 0.00039789811125956476
    1.2.826.0.1.3680043.8.498.95802646073879374139512625540561103042 0.0005180502193979919 0.0004143688711337745 0.000414575741160661 0.0010190907632932067 0.0016319049755111337 6.671326264040545e-05 0.0006922363536432385 0.024304207414388657 0.0818156823515892 0.8580126762390137 0.000268787844106555
    1.2.826.0.1.3680043.8.498.20318669745735246917698861042848934284 0.0004217537643853575 0.0005445015849545598 0.0009229277493432164 0.000704404606949538 0.0007013946305960417 0.0007561363163404167 0.0009175093146041036 0.049702487885951996 0.6074970960617065 0.6031126976013184 0.00033574708504602313
    1.2.826.0.1.3680043.8.498.60441173923379632830395287029211851051 0.0024397012311965227 0.0437624529004097 0.956220805644989 0.024814605712890625 0.06662140041589737 0.192848339676857 0.16954943537712097 0.024638142436742783 0.21071776747703552 0.8251181840896606 0.0021422363352030516
    1.2.826.0.1.3680043.8.498.10648876770537216353318678512425518723 0.015004212036728859 0.2717931568622589 0.4537588655948639 0.006264779716730118 0.02536185458302498 0.007156162057071924 0.8396784663200378 0.2494978904724121 0.5096678733825684 0.7467752695083618 0.003955133259296417
    1.2.826.0.1.3680043.8.498.19021309691832037684399543547887368719 0.00021790809114463627 0.0005561923026107252 0.0005957186222076416 0.00019771666848100722 0.0003249886503908783 5.1193601393606514e-05 0.005577890668064356 0.015727007761597633 0.07446309179067612 0.9487142562866211 0.00015684643585700542
    1.2.826.0.1.3680043.8.498.16286980339672178866304386667659083183 0.0002861737157218158 0.00026514322962611914 0.0006772499764338136 0.0005794066237285733 0.0009726619464345276 0.00012451197835616767 0.0007524825050495565 0.005168282892554998 0.021450750529766083 0.977170467376709 0.00013120238145347685
    1.2.826.0.1.3680043.8.498.32988438325425084096842591861265405640 0.002645670436322689 0.0469539538025856 0.9464608430862427 0.0031551208812743425 0.025588292628526688 0.025479648262262344 0.9333569407463074 0.03688139468431473 0.19117656350135803 0.9444600343704224 0.6819161176681519
    1.2.826.0.1.3680043.8.498.33481158364783705508878672950241496307 0.0003659515641629696 0.0008541651768609881 0.0008082456770353019 0.0013236211379989982 0.0004732980451080948 0.013089950196444988 0.00032238991116173565 0.10963938385248184 0.6442879438400269 0.451230525970459 0.0011225843336433172
    1.2.826.0.1.3680043.8.498.35780162896754548685100997090580179943 0.0001799513556761667 0.00011865119449794292 0.00013079367636237293 0.0003848481283057481 0.00024339044466614723 0.00012350697943475097 8.46866678330116e-05 0.013554881326854229 0.0745314359664917 0.9246070981025696 0.00011503502173582092
    1.2.826.0.1.3680043.8.498.11122497996129029865218703194559838618 0.005480002146214247 0.21888267993927002 0.7322971820831299 0.004076974932104349 0.031317226588726044 0.01593666896224022 0.9482372403144836 0.45457974076271057 0.368527352809906 0.4768930971622467 0.003691060934215784
    1.2.826.0.1.3680043.8.498.53786641977326336116096669530305517250 6.29592250334099e-05 4.880366032011807e-05 8.198212890420109e-05 0.00011998756963294 0.00020284643687773496 8.178943062375765e-06 8.611696102889255e-05 0.0021755010820925236 0.018178710713982582 0.9821969270706177 2.6693829568102956e-05
    1.2.826.0.1.3680043.8.498.62533372051612486978057114292011976504 0.0003550132969394326 0.0002873773337341845 0.00023933721240609884 0.0005276787560433149 0.0005336158210411668 0.00024529924849048257 0.0002467897138558328 0.3240733742713928 0.4122069776058197 0.4580264091491699 0.0005444595008157194
    1.2.826.0.1.3680043.8.498.13233430745466640843563558396008334731 0.0006878883577883244 0.0006311783799901605 0.0010994652984663844 0.0013532965676859021 0.0013644432183355093 0.0014909174060449004 0.0003865942999254912 0.08898430317640305 0.1360447108745575 0.7036830186843872 0.00048019233508966863
    1.2.826.0.1.3680043.8.498.35739442916950895736336733469802198049 0.0002428720035823062 0.00030895628151483834 0.0005134794628247619 0.0006788888713344932 0.00050091661978513 0.0003223297535441816 0.00047457791515626013 0.007118909619748592 0.02708442509174347 0.9781292676925659 0.0002539236447773874
    1.2.826.0.1.3680043.8.498.42006385221663958165960562976413039394 0.0003190501010976732 0.00019915697339456528 0.0002747264807112515 0.000809549237601459 0.0005334377055987716 0.00017201808805111796 0.00020539297838695347 0.025048529729247093 0.17766408622264862 0.8748139142990112 0.0002892444608733058
    1.2.826.0.1.3680043.8.498.11248650795765287829180225950819956296 0.021395528689026833 0.30363959074020386 0.6665412783622742 0.014182999730110168 0.07901100069284439 0.030619990080595016 0.7562532424926758 0.11626209318637848 0.28927081823349 0.7856053709983826 0.002506971824914217
    1.2.826.0.1.3680043.8.498.31737006204788373563174833912274350385 0.0001232580398209393 0.00019129482097923756 0.00025554304011166096 0.00017202224989887327 0.000172159489011392 0.000155170593643561 0.00026308733504265547 0.018859805539250374 0.38719385862350464 0.5494691729545593 0.00016903494542930275
    1.2.826.0.1.3680043.8.498.13365660833595452630057480303956558697 0.00015345224528573453 0.00017506330914329737 0.0002993250382132828 0.0004590853932313621 0.0006218047346919775 0.0005468210438266397 0.0002447136212140322 0.007768859155476093 0.008686245419085026 0.9890235066413879 5.960706766927615e-05
    1.2.826.0.1.3680043.8.498.35702823838979797165604776752195348245 0.0004331787640694529 0.0005031625041738153 0.0006245423574000597 0.0009625358507037163 0.00044104730477556586 0.002465531462803483 0.00016999829676933587 0.623272180557251 0.27946504950523376 0.2399383783340454 0.0010483880760148168
    1.2.826.0.1.3680043.8.498.12447018948719598921412567744404782890 0.00017852227028924972 0.00014972726057749242 0.00022390848607756197 0.0004140062665101141 0.0006800106493756175 5.134854654897936e-05 0.0003097164735663682 0.003106640186160803 0.02326720952987671 0.9869230389595032 7.0901594881434e-05
    1.2.826.0.1.3680043.8.498.92154693258265641687096566978073995914 0.00030844376306049526 0.00033013103529810905 0.00040682480903342366 0.000466065393993631 0.0005982404109090567 0.00011336491297697648 0.00030223498470149934 0.03466055914759636 0.4917562007904053 0.5172801613807678 0.00024242341169156134
    1.2.826.0.1.3680043.8.498.40549999929088957850024573887381626436 0.00020316720474511385 0.0002613962860777974 0.00038642442086711526 0.00042722784564830363 0.000491817481815815 0.0006060982123017311 0.000467405014205724 0.007267635315656662 0.042996715754270554 0.9788340330123901 0.00013450409460347146
    1.2.826.0.1.3680043.8.498.28882462503199517250154638912857466052 0.0019114563474431634 0.00293142581358552 0.00926470197737217 0.022396648302674294 0.010407657362520695 0.16839095950126648 0.009558191522955894 0.03269604220986366 0.10537697374820709 0.8824194669723511 0.003055671928450465
    1.2.826.0.1.3680043.8.498.83917606468027772385769511153777086080 0.0003477555001154542 0.00563425337895751 0.97013920545578 0.005702042020857334 0.018136363476514816 0.14092013239860535 0.08461894094944 0.0171427633613348 0.5622087717056274 0.8631492853164673 0.0004513425810728222
    1.2.826.0.1.3680043.8.498.11877747290504885558878517708676381850 0.0005157918203622103 0.0005339938215911388 0.0010643607238307595 0.0011588128982111812 0.0017438384238630533 0.00018345771241001785 0.0014702000189572573 0.014582490548491478 0.07933035492897034 0.8968455195426941 0.0003088168450631201
    1.2.826.0.1.3680043.8.498.11038852559154864312339527795193107810 6.496386049548164e-05 0.0002452518092468381 0.0002885646536014974 5.276120646158233e-05 0.00011579279089346528 1.2756005162373185e-05 0.008167515508830547 0.004327385686337948 0.07677774131298065 0.9578820466995239 3.976903826696798e-05
    1.2.826.0.1.3680043.8.498.82866188545559715526300845564442843977 0.00020218771533109248 0.00022381043527275324 0.00047464523231610656 0.0004536774067673832 0.0005333758890628815 0.00015622845967300236 0.0005219114245846868 0.002754333196207881 0.011923539452254772 0.9908276796340942 6.315443897619843e-05
    1.2.826.0.1.3680043.8.498.50184300575694918266873468724871500117 0.005632068961858749 0.011963861994445324 0.0076210894621908665 0.01188239548355341 0.04701714590191841 0.004261580761522055 0.826114296913147 0.15368866920471191 0.35392922163009644 0.5099043846130371 0.04083041101694107
    1.2.826.0.1.3680043.8.498.35765389276667524719834354483867762507 0.0003411489597056061 0.0004876124730799347 0.000986735918559134 0.0006432834197767079 0.0015029351925477386 0.00013108094572089612 0.002282220171764493 0.007001279387623072 0.024063849821686745 0.9847418069839478 0.00011791048018494621
    1.2.826.0.1.3680043.8.498.13110981740467934501282688841385867241 0.009827850386500359 0.02818688191473484 0.016163934022188187 0.03038189187645912 0.073311947286129 0.23425106704235077 0.7150245904922485 0.216839000582695 0.4869614243507385 0.5502201914787292 0.010906016454100609
    1.2.826.0.1.3680043.8.498.49389067196258591071635876705542973144 0.00026744118076749146 0.0004959723446518183 0.001285996870137751 0.0004766685888171196 0.0007355745183303952 0.00043017035932280123 0.0011039221426472068 0.007063953671604395 0.022540707141160965 0.9896917343139648 8.904479182092473e-05
    1.2.826.0.1.3680043.8.498.86451617952740096252556310041753837340 0.00021665562235284597 0.00014780503988731652 0.00016865498037077487 0.0005244480562396348 0.0004672297218348831 0.00010095888137584552 0.0001844263169914484 0.013187241740524769 0.09551955759525299 0.891423225402832 0.0001472008734708652
    1.2.826.0.1.3680043.8.498.12987733439089065804869323356391839427 0.00011380753858247772 0.00011354811431374401 0.00018249452114105225 0.00021975688287056983 0.0002816258347593248 0.00010835806460818276 0.00011530339543242007 0.007271341979503632 0.007870514877140522 0.9917548894882202 3.529040259309113e-05
    1.2.826.0.1.3680043.8.498.60486917549207834537710318510335266682 0.0004430247063282877 0.0007609505555592477 0.0016069452976807952 0.0010573291219770908 0.0008768397383391857 0.0012156006414443254 0.0006224684184417129 0.05936161428689957 0.49123653769493103 0.5218296051025391 0.0006598017644137144
    1.2.826.0.1.3680043.8.498.43099152903566543650252022734134927499 0.00031566404504701495 0.0003524708445183933 0.0004923932137899101 0.0007578095537610352 0.0009332308545708656 6.817527173552662e-05 0.00040543643990531564 0.04917540401220322 0.3392621874809265 0.794252336025238 0.0002660232421476394
    1.2.826.0.1.3680043.8.498.27988093756279533361010974867586065127 0.0031665991991758347 0.10013873875141144 0.8983796834945679 0.01693541742861271 0.044724635779857635 0.16643528640270233 0.6851904988288879 0.021186698228120804 0.09402400255203247 0.8875513076782227 0.0011368724517524242
    1.2.826.0.1.3680043.8.498.47546909335932918637549261941633961614 0.00023663272440899163 0.00020895584020763636 0.0002168083592550829 0.00032536248909309506 0.00030995122506283224 0.0002587500785011798 0.00011963102588197216 0.02185368351638317 0.17871639132499695 0.8478010892868042 0.0002585519105195999
    1.2.826.0.1.3680043.8.498.10425181156637500882474496084108276055 0.0008552270010113716 0.001828472362831235 0.006244284100830555 0.007433929946273565 0.003145020455121994 0.026178549975156784 0.001339830574579537 0.008323045447468758 0.03106067143380642 0.9833173751831055 0.00066333485301584
    1.2.826.0.1.3680043.8.498.12308921517957375756942448014300773277 0.004757524002343416 0.004088333807885647 0.00438945135101676 0.030323658138513565 0.04802139848470688 0.0744691789150238 0.08772702515125275 0.039645154029130936 0.11924029886722565 0.8542712330818176 0.0029321028850972652
    1.2.826.0.1.3680043.8.498.32267785348596791917357651637988303293 0.00048163477913476527 0.0008241333998739719 0.001387279131449759 0.0009746631840243936 0.0017599749844521284 0.0005126672913320363 0.002617915626615286 0.008543471805751324 0.02534627541899681 0.9891253709793091 0.00015800836263224483
    1.2.826.0.1.3680043.8.498.42009937852556878262615815024292799324 0.0008536909590475261 0.0011176557745784521 0.001307266065850854 0.001900484086945653 0.0028801867738366127 0.0002956158423330635 0.005293955095112324 0.46134382486343384 0.38772836327552795 0.17254506051540375 0.0009167558746412396
    1.2.826.0.1.3680043.8.498.57975439641927952041819180291158058820 0.00017430188017897308 0.00028405332705006003 0.0008429611334577203 0.0004686412285082042 0.0003286018909420818 0.0008215787820518017 9.576235606800765e-05 0.011694902554154396 0.06474588066339493 0.9314035177230835 0.00012866320321336389
    1.2.826.0.1.3680043.8.498.80104614729000008651543855989945542717 0.0006093858391977847 0.0006359362741932273 0.0007051362190395594 0.0008975211530923843 0.0013061400968581438 0.00021335773635655642 0.0018405349692329764 0.016577795147895813 0.38706591725349426 0.6640986800193787 0.00036754790926352143
    1.2.826.0.1.3680043.8.498.98547571599379680018492369928434655156 0.00012158237950643525 8.474830246996135e-05 0.00013575571938417852 0.00022795939003117383 0.0002973011287394911 6.400320125976577e-05 8.396127668675035e-05 0.0037186734843999147 0.046608131378889084 0.9505226016044617 6.509192462544888e-05
    1.2.826.0.1.3680043.8.498.35884780838359239148900490949875271612 0.00035234831739217043 0.0011199258733540773 0.002089796122163534 0.0014989423798397183 0.00035424352972768247 0.010173643007874489 0.00011377744522178546 0.022961173206567764 0.3155360817909241 0.7537672519683838 0.0005092498031444848
    1.2.826.0.1.3680043.8.498.11339709248615817472944503958462985768 0.0011727112578228116 0.0010386727517470717 0.001477712532505393 0.003213367657735944 0.005565247498452663 0.00310085853561759 0.0027205306105315685 0.07082521915435791 0.0619082935154438 0.8611224889755249 0.0006598100299015641
    1.2.826.0.1.3680043.8.498.86823044953969224876660954675659508853 0.004864769987761974 0.0614296980202198 0.8833533525466919 0.06121964007616043 0.06393244862556458 0.547609806060791 0.1548622101545334 0.03913016989827156 0.137172132730484 0.40380173921585083 0.0010743467137217522
    1.2.826.0.1.3680043.8.498.10670183740404851150637822645062522973 0.0029320796020329 0.04745243862271309 0.9501416087150574 0.010323519818484783 0.03090044856071472 0.003608647035434842 0.5382432341575623 0.07328303158283234 0.35508620738983154 0.3629615902900696 0.0013846460497006774
    1.2.826.0.1.3680043.8.498.12399308137392515118328341087517715897 7.506344991270453e-05 7.156906940508634e-05 0.00012687141133937985 0.00022944816737435758 0.00015718374925199896 0.00011455274943728 0.00012054301623720676 0.0028933577705174685 0.02894630655646324 0.9752092361450195 4.726368570118211e-05
    1.2.826.0.1.3680043.8.498.40636837922750001170538187465286867506 0.0003781277919188142 0.0003632783773355186 0.0004184679128229618 0.0006728590815328062 0.0011158097768202424 0.00010218275565421209 0.0009399218251928687 0.010003846138715744 0.06398380547761917 0.9587669372558594 0.0002319988125236705
    1.2.826.0.1.3680043.8.498.22117024662892186032810947500290654877 0.00016892892017494887 0.00010769837535917759 0.0001545676786918193 0.00024582367041148245 0.00031761257559992373 4.2906969611067325e-05 0.00016612219042144716 0.006561593618243933 0.106662318110466 0.8900833129882812 0.0001034360466292128
    1.2.826.0.1.3680043.8.498.10789111545413402207098600515301642368 0.00214786222204566 0.05302468687295914 0.9019878506660461 0.024904975667595863 0.040024347603321075 0.637534499168396 0.2927308678627014 0.030287254601716995 0.135660320520401 0.8239589929580688 0.0014412201708182693
    1.2.826.0.1.3680043.8.498.10436530902634795097506109475424846442 0.00010104713874170557 0.00011279528553131968 0.00019500010239426047 0.00021657363686244935 0.0001740864827297628 0.0002039465180132538 7.852906128391623e-05 0.0027362157125025988 0.04988301172852516 0.9617990255355835 5.9904221416218206e-05
    1.2.826.0.1.3680043.8.498.83409207118791009764332219681434041444 0.00027194691938348114 0.00013525060785468668 0.0003478625731077045 0.0005058489041402936 0.0006606770912185311 0.00011346991959726438 0.0001467544207116589 0.012744547799229622 0.04447919875383377 0.9537638425827026 0.00018435016681905836
    1.2.826.0.1.3680043.8.498.11132282638234190381176481772625298443 0.0008890774333849549 0.008312614634633064 0.9949854612350464 0.018156465142965317 0.026995021849870682 0.07957801967859268 0.21593701839447021 0.14357787370681763 0.46128329634666443 0.5779002904891968 0.002469037426635623
    1.2.826.0.1.3680043.8.498.73434914213987632055066828566993307166 0.0023851811420172453 0.025466833263635635 0.9454644918441772 0.01645120605826378 0.036457695066928864 0.011989407241344452 0.14433111250400543 0.18724271655082703 0.569069504737854 0.43088141083717346 0.0023669027723371983
    1.2.826.0.1.3680043.8.498.12535116271778631149166660948166872402 0.00024072248197626323 0.0002760356292128563 0.00027732079615816474 0.00038702855817973614 0.0004232788924127817 7.015009032329544e-05 0.0004477323964238167 0.04667549207806587 0.13834422826766968 0.9225059747695923 0.00017972150817513466
    1.2.826.0.1.3680043.8.498.12890564308253599689850534399649538718 0.0019182420801371336 0.012776936404407024 0.9896632432937622 0.020648479461669922 0.059693098068237305 0.011052532121539116 0.33301568031311035 0.3116304278373718 0.3970944881439209 0.38723844289779663 0.0024151112884283066
    1.2.826.0.1.3680043.8.498.30890393756515965832224879290720527909 0.00024349373416043818 0.0001829725515563041 0.00020955476793460548 0.00039219934842549264 0.0005677734734490514 4.1039485950022936e-05 0.00021815684158354998 0.010171295143663883 0.046461500227451324 0.9637026786804199 0.00012944651825819165
    1.2.826.0.1.3680043.8.498.10325702620495808513763923530892691581 0.0002102992293657735 0.000287360860966146 0.00035265160840936005 0.00041072542080655694 0.00021121406462043524 0.001061529852449894 6.677709461655468e-05 0.07279206812381744 0.34464532136917114 0.5659663081169128 0.00029812235152348876
    1.2.826.0.1.3680043.8.498.74477399580449894945600500525811079751 0.00460934080183506 0.014901204034686089 0.16371972858905792 0.02370494045317173 0.04513077810406685 0.3174585998058319 0.5119616389274597 0.0196820180863142 0.1696012169122696 0.9511224627494812 0.9907873272895813
    1.2.826.0.1.3680043.8.498.92838750692278327468601316401589067252 0.0003489151713438332 0.00040794856613501906 0.0006903192261233926 0.0005816253833472729 0.0009153398568741977 0.00010805524652823806 0.000789730460382998 0.029452556744217873 0.24026796221733093 0.7483945488929749 0.0002689785906113684
    1.2.826.0.1.3680043.8.498.11561755848511110577289125064543925856 0.0003724918351508677 0.0003674622275866568 0.00045100244460627437 0.0007501411018893123 0.0010854924330487847 0.0003132932470180094 0.000606931746006012 0.020627006888389587 0.11879938840866089 0.8930256962776184 0.00023696935386396945
    1.2.826.0.1.3680043.8.498.94906440004370566233146697936657983595 0.0035079587250947952 0.09254977107048035 0.8628352284431458 0.015079930424690247 0.045390982180833817 0.2412148416042328 0.3018879294395447 0.009122299030423164 0.1015167385339737 0.9878249168395996 0.002367584500461817
    1.2.826.0.1.3680043.8.498.22348834649097934609512480544772048831 0.0004539963265415281 0.0005247887456789613 0.0003862723533529788 0.0006402949802577496 0.001013207365758717 7.656270463485271e-05 0.0007700928254052997 0.039058007299900055 0.30388468503952026 0.6030607223510742 0.00026813766453415155
    1.2.826.0.1.3680043.8.498.73507940376717072502894371755470131902 0.00012067372153978795 8.16726969787851e-05 7.946349069243297e-05 0.000299870443996042 0.00028010300593450665 3.618140544858761e-05 0.00015155290020629764 0.008453737944364548 0.04311182349920273 0.9518817067146301 7.427426317008212e-05
    1.2.826.0.1.3680043.8.498.30301422247561194130329500098310452460 0.0001489411515649408 0.00020219513680785894 0.0004987622960470617 0.0008816967601887882 0.00030928460182622075 0.0016585135599598289 5.423466063803062e-05 0.013425631448626518 0.01794675551354885 0.9786226153373718 0.0001972075115190819
    1.2.826.0.1.3680043.8.498.32609022387985819390756512548477581196 0.0013880208134651184 0.013871503062546253 0.9816802144050598 0.016483750194311142 0.045938365161418915 0.6482497453689575 0.3215213418006897 0.05521875619888306 0.30640485882759094 0.5707817077636719 0.0024843746796250343
    1.2.826.0.1.3680043.8.498.42042574483051066371161882480361602349 0.0012274787295609713 0.004633546806871891 0.0028890520334243774 0.001535972347483039 0.0021648108959198 0.0006902371533215046 0.009644740261137486 0.39251279830932617 0.7542538642883301 0.2313433140516281 0.0011843054089695215
    1.2.826.0.1.3680043.8.498.85674544122154188710984711301152614007 0.0004075564502272755 0.00033397169318050146 0.00031480719917453825 0.0005693324492312968 0.0007052877335809171 0.00043891416862607 0.0003513849515002221 0.3267444670200348 0.4289797246456146 0.3144901692867279 0.000438979419413954
    1.2.826.0.1.3680043.8.498.61941000650946420528659378456795589914 0.00030090927612036467 0.00019565939146559685 0.00022156482737045735 0.00040623918175697327 0.000395285984268412 8.617402636446059e-05 0.00020886123820673674 0.00978392269462347 0.07999487966299057 0.9335403442382812 0.000133323366753757
    1.2.826.0.1.3680043.8.498.33268947974974752219325828359086919589 0.00026354240253567696 0.0003712188045028597 0.0010033115977421403 0.0008979900740087032 0.0004694306699093431 0.0018229925772175193 0.00010800835298141465 0.052099667489528656 0.017486123368144035 0.9692111015319824 0.0001441284839529544
    1.2.826.0.1.3680043.8.498.23120036324262309930043379966260241455 0.0005409054574556649 0.009062277153134346 0.9786691665649414 0.004957697354257107 0.022145073860883713 0.019535955041646957 0.22617538273334503 0.024643292650580406 0.47556692361831665 0.7825326919555664 0.0005114101222716272
    1.2.826.0.1.3680043.8.498.63719967488028491440176713459654462832 0.00031516942544840276 0.0003341565316077322 0.00033306435216218233 0.0005311070708557963 0.0005495682125911117 0.0001407060190103948 0.0003775085788220167 0.16313417255878448 0.7177720665931702 0.16400131583213806 0.00037581604556180537
    1.2.826.0.1.3680043.8.498.30081387494255201949570534482418846055 0.00028596361516974866 0.0002361067308811471 0.00041400353075005114 0.0004745895566884428 0.00043826241744682193 0.00019449452520348132 0.0001904382079374045 0.025809654965996742 0.25793343782424927 0.7208139896392822 0.0002578343846835196
    1.2.826.0.1.3680043.8.498.79234966757536836852357699961407800194 0.0053957984782755375 0.06960461288690567 0.8950141668319702 0.04907499998807907 0.0644899234175682 0.12831607460975647 0.18485769629478455 0.08161913603544235 0.20060591399669647 0.3306259214878082 0.0022325883619487286
    1.2.826.0.1.3680043.8.498.12267867345576563129750216764822300690 0.0005690971156582236 0.010758236050605774 0.9583021402359009 0.007304642349481583 0.014959153719246387 0.007404837757349014 0.05230621621012688 0.14259383082389832 0.6569730639457703 0.5841137766838074 0.0013566173147410154
    1.2.826.0.1.3680043.8.498.13155075355859784452750647013695169327 0.00014080965775065124 0.00011502935376483947 0.00012981888721697032 0.0002898714446928352 0.00022866865037940443 4.49310609837994e-05 7.471186836482957e-05 0.006299914326518774 0.042953334748744965 0.9763027429580688 6.701042730128393e-05
    1.2.826.0.1.3680043.8.498.13363646606285939526744309780897080581 0.00041948718717321754 0.00039295791066251695 0.0004369654634501785 0.0006613765144720674 0.0006582026253454387 0.00048168274224735796 0.0003103461640421301 0.1041882261633873 0.058577220886945724 0.9153974652290344 0.00033756057382561266
    1.2.826.0.1.3680043.8.498.13066683795443756065922924241175997308 0.014243675395846367 0.18580397963523865 0.774100661277771 0.04823337495326996 0.018224647268652916 0.7901831865310669 0.05190905183553696 0.05921851471066475 0.1473218947649002 0.9570785760879517 0.9932767152786255
    1.2.826.0.1.3680043.8.498.32889579528940145433831587214657128284 0.00021422738791443408 0.00016713759396225214 0.00029603848815895617 0.0010125410044565797 0.00039021362317726016 0.0006025025504641235 0.00012079784937668592 0.010128026828169823 0.011332199908792973 0.9891282320022583 8.086266461759806e-05
    1.2.826.0.1.3680043.8.498.17015272733879299392453246930745741569 0.00035700705484487116 0.0003675356274470687 0.0005513489595614374 0.0007873300346545875 0.0009450528887100518 0.0001042681178660132 0.0012586754746735096 0.005752985365688801 0.026860926300287247 0.9715760946273804 0.0001340102026006207
    1.2.826.0.1.3680043.8.498.48965912801850240943051297616682859719 0.0004589685704559088 0.0014298118185251951 0.0007991877500899136 0.0008942767744883895 0.0011492674238979816 8.701935439603403e-05 0.0019719679839909077 0.6216343641281128 0.5762431621551514 0.20432205498218536 0.0006138932658359408
    1.2.826.0.1.3680043.8.498.17745742312674386558566749104975057482 0.00030157831497490406 0.0004570800228975713 0.0002764741948340088 0.0003430813376326114 0.0005026024300605059 4.631728370441124e-05 0.001675457926467061 0.014847998507320881 0.16503383219242096 0.8664514422416687 0.0002544625604059547
    1.2.826.0.1.3680043.8.498.70115278304220468981265004066316578467 0.00012502273602876812 9.824846347328275e-05 0.0002386692212894559 0.00028610628214664757 0.00017223590111825615 0.00030272299773059785 3.797382669290528e-05 0.016269829124212265 0.3352269232273102 0.7067182660102844 0.00016841632896102965
    1.2.826.0.1.3680043.8.498.49656346792319926457391672709048171807 0.00010608462616801262 9.629054693505168e-05 0.00012840380077250302 0.00019537324260454625 0.00018858278053812683 7.716904656263068e-05 8.251365943579003e-05 0.005847063846886158 0.04386303573846817 0.9658635854721069 6.471022788900882e-05
    1.2.826.0.1.3680043.8.498.38531625033331254779132041877321938213 0.00017871246382128447 0.00011512190394569188 0.0001502623490523547 0.00035606868914328516 0.00011575446842471138 0.0004948328714817762 2.7101308660348877e-05 0.2892245650291443 0.2071775496006012 0.4599084258079529 0.00024616948212496936
    1.2.826.0.1.3680043.8.498.71647561537811016369746059218152136687 0.0008550906786695123 0.001024034689180553 0.0009303650003857911 0.0013563800603151321 0.0020992052741348743 0.00019632485054899007 0.0014654865954071283 0.2738494277000427 0.3761167526245117 0.4471514821052551 0.0007952541345730424
    1.2.826.0.1.3680043.8.498.12987361949911552987423914256550090841 0.00212929118424654 0.07328353822231293 0.939515233039856 0.060675084590911865 0.030608082190155983 0.859028697013855 0.0420490987598896 0.01398845948278904 0.07153934240341187 0.983507513999939 0.002522189635783434
    1.2.826.0.1.3680043.8.498.43834835241284270241423481556478538141 0.0005734935402870178 0.000829704396892339 0.0019679823890328407 0.0023950799368321896 0.00241260533221066 0.004105631727725267 0.002892850199714303 0.016131412237882614 0.031132405623793602 0.9820318222045898 0.0025595161132514477
    1.2.826.0.1.3680043.8.498.53987178314136941832476832965304949378 0.0003985500952694565 0.000287083734292537 0.0003605933452490717 0.0007814883138053119 0.0007872834103181958 0.0002507973986212164 0.00031733690411783755 0.05141926556825638 0.2971302270889282 0.7667591571807861 0.00037531560519710183
    1.2.826.0.1.3680043.8.498.59819199821912888201796302157928867540 0.00027515034889802337 0.00029226599144749343 0.00048333764425478876 0.0004920223145745695 0.000735310954041779 0.00018227958935312927 0.0005853811744600534 0.005558487959206104 0.10299745947122574 0.9271156191825867 0.00014399262727238238
    1.2.826.0.1.3680043.8.498.31675403689989442553452700735601326209 0.00024028164625633508 0.00022548262495547533 0.00024827089509926736 0.0005200912710279226 0.0005896714283153415 0.0001420983753632754 0.0003138210449833423 0.028507402166724205 0.01713775098323822 0.9787635803222656 0.0001271079236175865
    1.2.826.0.1.3680043.8.498.41772574656228616183622809425350664360 0.0009232180309481919 0.0019754774402827024 0.0019431713735684752 0.0018147301161661744 0.0026762804482132196 0.00020622918964363635 0.024845058098435402 0.04430820420384407 0.06476958841085434 0.9725955724716187 0.0007125393603928387
    1.2.826.0.1.3680043.8.498.49763451575308397526474195135735515266 0.00016326122567988932 0.00016662855341564864 0.00019621259707491845 0.0003357004898134619 0.0001956295018317178 0.0005121655995026231 4.707983316620812e-05 0.3667452931404114 0.4882485270500183 0.1365525722503662 0.0003256651689298451
    1.2.826.0.1.3680043.8.498.10008122048552553565774139897939785611 0.0003942629846278578 0.00032362242927774787 0.00042244038195349276 0.0008369589340873063 0.0010960582876577973 0.0001794820127543062 0.0014887338038533926 0.03105214796960354 0.06160750240087509 0.9027840495109558 0.00021882049622945487
    1.2.826.0.1.3680043.8.498.12836466744252283400938728922358222327 0.00017297003068961203 0.0003268875298090279 0.00032140949042513967 0.00020583928562700748 0.00034863679320551455 7.967612873471808e-06 0.00293915206566453 0.01246640644967556 0.1460849940776825 0.9277044534683228 7.678386464249343e-05
    1.2.826.0.1.3680043.8.498.88354857060768083042654490965651431050 0.0005149462958797812 0.0003709791344590485 0.0006628006813116372 0.00137219054158777 0.0010256052482873201 0.0002283647481817752 0.5414713621139526 0.09718702733516693 0.4331463873386383 0.0005030349129810929
    1.2.826.0.1.3680043.8.498.99816833022200806675842086692656523271 0.000880155130289495 0.0013917030300945044 0.004515496082603931 0.0041571687906980515 0.002908803056925535 0.002070088405162096 0.003938455134630203 0.15743359923362732 0.13884395360946655 0.73749178647995 0.001157243736088276
    1.2.826.0.1.3680043.8.498.46814360817214579941197948988367339480 0.0005362463998608291 0.00054984848247841 0.0007252662908285856 0.0018719902727752924 0.0011820796644315124 0.002069230191409588 0.0006155543378554285 0.07578223943710327 0.05679423734545708 0.8393999338150024 0.0003687663411255926
    1.2.826.0.1.3680043.8.498.50958898654213664786399300266993597437 0.0003224206739105284 0.00020420097280293703 0.00011762812209781259 0.0007465420057997108 0.0002794198808260262 0.0001930382859427482 0.0003266052226535976 0.025068994611501694 0.2640935480594635 0.7093433737754822 0.0003047642530873418
    1.2.826.0.1.3680043.8.498.66923248360220994362249066711844219422 0.000909992610104382 0.0018465366447344422 0.00395564828068018 0.0015280467923730612 0.001859935699030757 0.0028070195112377405 0.003332902444526553 0.020708885043859482 0.12111081928014755 0.9553157687187195 0.764589786529541
    1.2.826.0.1.3680043.8.498.62380121232752096464068010714382091446 0.00031719825346954167 0.00041915467591024935 0.0005119857378304005 0.000701996439602226 0.0004660557897295803 0.0006632049335166812 0.00019988685380667448 0.11848124116659164 0.6077717542648315 0.3247824013233185 0.0005580082652159035
    1.2.826.0.1.3680043.8.498.12164505002857082617238117469046962034 0.029567446559667587 0.27977293729782104 0.4421353340148926 0.03337721526622772 0.0945550724864006 0.014083410613238811 0.40677040815353394 0.5976725220680237 0.5676666498184204 0.35965219140052795 0.006595334969460964
    1.2.826.0.1.3680043.8.498.81308632880079118011797769215916567203 0.0003498685546219349 0.00025523692602291703 0.0003764219000004232 0.0007364246994256973 0.0009051804663613439 8.840490772854537e-05 0.000301148509606719 0.019118133932352066 0.1388603001832962 0.8546837568283081 0.00026387471007183194
    1.2.826.0.1.3680043.8.498.33321583252593486822414498581327850279 0.0005407420685514808 0.0007627108134329319 0.0017750900005921721 0.0015714572509750724 0.0022275468800216913 0.0003631302388384938 0.0031760763376951218 0.0734303668141365 0.6575765609741211 0.44165101647377014 0.0005427348660305142
    1.2.826.0.1.3680043.8.498.83004617361447550314190483047739641917 0.0007805096684023738 0.0008380782091990113 0.001490283408202231 0.0012836817186325788 0.002240581437945366 0.00021816033404320478 0.00294242100790143 0.02039366029202938 0.04890018329024315 0.949074923992157 0.0004116389900445938
    1.2.826.0.1.3680043.8.498.11290579315573895306958066758113673441 0.01064786221832037 0.22231623530387878 0.8235584497451782 0.061180561780929565 0.017669115215539932 0.9051952362060547 0.06586863845586777 0.12886181473731995 0.3993197977542877 0.7297043204307556 0.054005444049835205
    1.2.826.0.1.3680043.8.498.13040321170464968673305482376878166225 8.682566112838686e-05 0.00013771691010333598 0.0005301632918417454 0.00023025312111712992 0.00026858519413508475 6.261396629270166e-05 0.0002455577487125993 0.004471126012504101 0.04754078388214111 0.9808578491210938 4.042734872200526e-05
    1.2.826.0.1.3680043.8.498.29139772368884250253618912107896338428 0.0001339109003311023 0.0002946007589343935 0.0004664230509661138 0.00022899503528606147 0.00021828249737154692 0.00029218720737844706 0.004678445868194103 0.004735794849693775 0.04053643345832825 0.9735056161880493 7.664098666282371e-05
    1.2.826.0.1.3680043.8.498.67489870374753038463207749577401174076 0.0003916730056516826 0.00035554630449041724 0.0004427078238222748 0.0010101073421537876 0.0004674090596381575 0.000573293655179441 0.00016884699289221317 0.027813274413347244 0.1749674528837204 0.7947107553482056 0.00046812542132101953
    1.2.826.0.1.3680043.8.498.69029971401908253655727295025518243854 9.622164361644536e-05 8.733906724955887e-05 0.000147665647091344 0.00035969732562080026 0.00017629083595238626 0.00026727671502158046 4.798531153937802e-05 0.008465507999062538 0.13516543805599213 0.8719317317008972 9.261611558031291e-05
    1.2.826.0.1.3680043.8.498.80181412605301733284817165392589005510 0.0010037545580416918 0.0005027979495935142 0.0005942556308582425 0.0027697463519871235 0.0034964755177497864 0.0008833062602207065 0.0024891807697713375 0.06932835280895233 0.1266527622938156 0.747010350227356 0.0005874420749023557
    1.2.826.0.1.3680043.8.498.16225308068744066344884670100101738255 0.000228148463065736 0.0001809436798794195 0.00035261554876342416 0.000506295938976109 0.0004408991080708802 0.00010475404269527644 0.00012706263805739582 0.02729508839547634 0.19893217086791992 0.8404721021652222 0.00017828155250754207
    1.2.826.0.1.3680043.8.498.65891038010086932923865511252799523477 0.0003242911188863218 0.0003219383943360299 0.0003278202493675053 0.0005693675484508276 0.0005763299996033311 0.0005334113375283778 0.00021224752708803862 0.025298601016402245 0.5018208622932434 0.5175586938858032 0.0002873591147363186
    1.2.826.0.1.3680043.8.498.59807514001084492262604421355959450912 0.00033653463469818234 0.000451844185590744 0.0015625592786818743 0.0006122870254330337 0.0011404117103666067 6.013653546688147e-05 0.003051685867831111 0.03858129680156708 0.2014208734035492 0.7533921003341675 0.00022893042478244752
    1.2.826.0.1.3680043.8.498.11348746067841331570449360305738911379 0.0002458345261402428 0.00015297166828531772 0.0002424037957098335 0.0003657870984170586 0.0004235712403897196 0.00010174408089369535 0.00017461505194660276 0.03475312516093254 0.22077994048595428 0.8156788945198059 0.00021191239648032933
    1.2.826.0.1.3680043.8.498.10522676352956956297911693660978590755 0.0008353933808393776 0.0014935408253222704 0.0012269907165318727 0.001636564964428544 0.0014191431691870093 0.0025111623108386993 0.0008924732101149857 0.15664167702198029 0.7879155278205872 0.22136148810386658 0.0007307069608941674
    1.2.826.0.1.3680043.8.498.12744146377900429977005817720766359510 0.0002346054679946974 0.00018688038107939065 0.00019367909408174455 0.00040830826037563384 0.0004650839255191386 8.895293285604566e-05 0.0001685905153863132 0.03576218709349632 0.2702880799770355 0.8335839509963989 0.00022567650012206286
    1.2.826.0.1.3680043.8.498.46208452389338982364982580740031868974 0.00016984681133180857 0.00016123574459925294 0.00031358315027318895 0.00024091156956274062 0.00042983749881386757 5.498265818459913e-05 0.00025783394812606275 0.02709839679300785 0.018933670595288277 0.9725945591926575 7.568583532702178e-05
    1.2.826.0.1.3680043.8.498.39714911327425773361990411111319539378 0.00024357570509891957 0.0023279909510165453 0.9968330264091492 0.009334760718047619 0.012812483124434948 0.07512252032756805 0.007254972122609615 0.031847722828388214 0.25867024064064026 0.8320484161376953 0.00027881303685717285
    1.2.826.0.1.3680043.8.498.53144621564357130931601351320703031277 0.00018511246889829636 0.0003572555142454803 0.00040925006032921374 0.0006589171243831515 0.0004615162033587694 0.00016994505131151527 0.0004092666204087436 0.003522952552884817 0.08867974579334259 0.9637441635131836 0.00011130025086458772
    1.2.826.0.1.3680043.8.498.30250917589543947974854980494297602147 0.02712574601173401 0.21866662800312042 0.3992488384246826 0.056963205337524414 0.047769300639629364 0.696058988571167 0.18437843024730682 0.2753620743751526 0.4585336744785309 0.4955996572971344 0.023172693327069283
    1.2.826.0.1.3680043.8.498.10125821107184061147207124131317193693 0.0001856211747508496 0.0001986338320421055 0.0004566027782857418 0.0006669005379080772 0.0005428388249129057 0.0007774541736580431 0.00013484492956195027 0.006448493804782629 0.012730884365737438 0.9892963171005249 8.024003182072192e-05
    1.2.826.0.1.3680043.8.498.11776543995166504595661121400846732860 0.00013932643923908472 0.0001006571328616701 0.00015025772154331207 0.00030392687767744064 0.0002506364544387907 0.00018300590454600751 6.583005597349256e-05 0.005683385767042637 0.06767479330301285 0.9482734799385071 0.00010121243394678459
    1.2.826.0.1.3680043.8.498.77372889703481301092644397040960530550 0.0002600050065666437 0.00025215683854185045 0.0002810056903399527 0.00037657638313248754 0.0004215252702124417 0.00013856067380402237 0.0003816880926024169 0.07130786031484604 0.4605677127838135 0.45078450441360474 0.00029419170459732413
    1.2.826.0.1.3680043.8.498.85220279535025637169986816254088108415 0.00032434987952001393 0.0002833249745890498 0.00033027183962985873 0.00047705360339023173 0.0006409437628462911 0.00016045944357756525 0.00032437857589684427 0.011327162384986877 0.3244205117225647 0.6805139780044556 0.00017846055561676621
    1.2.826.0.1.3680043.8.498.11202532145005071170549179386453699994 0.0004062932566739619 0.0002994619426317513 0.00033588724909350276 0.0004883764777332544 0.0006556382868438959 6.324237619992346e-05 0.000523137510754168 0.0999697670340538 0.149820014834404 0.7540000677108765 0.00029273820109665394
    1.2.826.0.1.3680043.8.498.97616551546939142218066205297486889583 0.00018893126980401576 0.00014395648031495512 0.0001472931617172435 0.000297247723210603 0.0002696357842069119 0.00022952801373321563 7.745890616206452e-05 0.011422477662563324 0.16519640386104584 0.8846785426139832 0.00014963300782255828
    1.2.826.0.1.3680043.8.498.26059527786929340331466458687518919640 0.00017011341697070748 0.0001204032450914383 0.00014873722102493048 0.0002793468884192407 0.0002690437831915915 0.00011059980897698551 7.576254574814811e-05 0.009873650968074799 0.12415187060832977 0.8891909718513489 0.0001395759463775903
    1.2.826.0.1.3680043.8.498.21219434123200541572030843326998685653 0.002386313397437334 0.035015255212783813 0.957992672920227 0.024715546518564224 0.06102890893816948 0.6551450490951538 0.18727266788482666 0.08270703256130219 0.2530723214149475 0.7910146713256836 0.0073363929986953735
    1.2.826.0.1.3680043.8.498.24223550191151789170607966668559621291 0.0007169840391725302 0.0008530134218744934 0.001099980203434825 0.0015237357001751661 0.002576096449047327 0.00023020143271423876 0.0016545492690056562 0.14973776042461395 0.5041798949241638 0.4354850649833679 0.0005259088356979191
    1.2.826.0.1.3680043.8.498.33680387948401312595185157522046498908 0.0003331127227284014 0.0002419998636469245 0.00028092050342820585 0.0006977193988859653 0.0009344404679723084 0.00011350148997735232 0.00040474062552675605 0.010459632612764835 0.15590746700763702 0.8893618583679199 0.0002261972549604252
    1.2.826.0.1.3680043.8.498.12825286307625509952259428006244847260 0.0001313861575908959 9.986948862206191e-05 0.00012199506454635412 0.0003015850088559091 0.00025499335606582463 0.00020823204249609262 4.7327790525741875e-05 0.00833848025649786 0.16041933000087738 0.8513835668563843 0.00012452542432583869
    1.2.826.0.1.3680043.8.498.61434006019247590818044361511317119230 0.0005134858656674623 0.00039199035381898284 0.0004148086009081453 0.0010880072368308902 0.0005853129550814629 0.0011832844465970993 0.00028630043379962444 0.3863881230354309 0.20508146286010742 0.44619542360305786 0.0006464972393587232
    1.2.826.0.1.3680043.8.498.89209301523399861815821756632053719000 0.0006603425717912614 0.0007831350085325539 0.0005139951827004552 0.0008298202301375568 0.0011303236242383718 0.0001227624888997525 0.003374241990968585 0.16523438692092896 0.2626118063926697 0.7519098520278931 0.0006975969881750643
    1.2.826.0.1.3680043.8.498.62178839795447704328011185879992962359 0.0014531459892168641 0.0015134100103750825 0.0021702300291508436 0.0031288047321140766 0.003258879529312253 0.002412924077361822 0.001410182798281312 0.1706942915916443 0.2894340753555298 0.6204962134361267 0.0015295022167265415
    1.2.826.0.1.3680043.8.498.18358510546412593565476412032340913405 0.000899962498806417 0.0009932077955454588 0.0009332529152743518 0.0014672452816739678 0.001232069218531251 0.0002777354675345123 0.0022554260212928057 0.07196927070617676 0.19575892388820648 0.7948004007339478 0.0008442805265076458
    1.2.826.0.1.3680043.8.498.54934640823356070389070670989224392744 0.00037134261219762266 0.0006036155973561108 0.0006023176247254014 0.0005012847250327468 0.0005938953254371881 4.479288327274844e-05 0.0018400842091068625 0.1383795291185379 0.13430418074131012 0.9140801429748535 0.0003084599447902292
    1.2.826.0.1.3680043.8.498.13289134498283980062177328378012744509 0.0003511319519020617 0.0005724115180782974 0.0018358022207394242 0.0006291117751970887 0.0008552349172532558 0.0014225177001208067 0.0010372494580224156 0.04485558718442917 0.16441181302070618 0.8364111185073853 0.0006478877039626241
    1.2.826.0.1.3680043.8.498.49961514187328417243029207437362825901 0.0022765756584703922 0.08963935822248459 0.8857454061508179 0.0034874803386628628 0.0219491608440876 0.03232960030436516 0.9168326258659363 0.03369813412427902 0.18059614300727844 0.9394031763076782 0.0011385782854631543
    1.2.826.0.1.3680043.8.498.12143780474686563930251112616939038537 0.0001867381506599486 0.00023022593813948333 0.0003788268659263849 0.00028831016970798373 0.0005452759796753526 3.852434019790962e-05 0.0007309516659006476 0.006090192589908838 0.03141164034605026 0.9813949465751648 7.32595581212081e-05
    1.2.826.0.1.3680043.8.498.29869845293924297259034259044428776345 0.0002238315501017496 0.00016747885092627257 0.0002778576163109392 0.0006417268887162209 0.0007650813786312938 0.00011416183406254277 0.0003204447857569903 0.003635549219325185 0.01021099928766489 0.9906259775161743 0.0001138054794864729
    1.2.826.0.1.3680043.8.498.67605125694625868636940815635117945867 0.00023498115479014814 0.0002129744680132717 0.0003635758184827864 0.00032078305957838893 0.0005498031969182193 3.9685550291324034e-05 0.0004827598459087312 0.012582311406731606 0.149926096200943 0.9036082029342651 0.0001505095133325085
    1.2.826.0.1.3680043.8.498.12304196498066123046993818809756917117 0.0008414724143221974 0.0014436080818995833 0.002413928508758545 0.002281712368130684 0.00659070024266839 0.0014751838752999902 0.005628150887787342 0.010307883843779564 0.036938101053237915 0.9707592129707336 0.00041501186206005514
    1.2.826.0.1.3680043.8.498.83428792827037803586762885469227168945 0.0008741333149373531 0.007087896578013897 0.9800896644592285 0.012012245133519173 0.021595248952507973 0.009796067140996456 0.06572861224412918 0.21946211159229279 0.5822505950927734 0.44029903411865234 0.0024839614052325487
    1.2.826.0.1.3680043.8.498.12898507317531063551899697295708765317 0.00043742373236455023 0.0004410074616316706 0.000505531788803637 0.0006527745281346142 0.0009315736824646592 0.00011411444575060159 0.0005766950198449194 0.014372503384947777 0.028873572126030922 0.9758747220039368 0.0003832717484328896
    1.2.826.0.1.3680043.8.498.10539757650438359837326737720601916450 0.009181054309010506 0.10417947918176651 0.29234403371810913 0.06014994904398918 0.059995003044605255 0.7589946985244751 0.1231614500284195 0.015193341299891472 0.06037336587905884 0.9381858110427856 0.003391909645870328
    1.2.826.0.1.3680043.8.498.20724205046001263240050006259348422555 0.0002889129682444036 0.00020461532403714955 0.00020182167645543814 0.0006148034008219838 0.0005225578206591308 0.0001549155276734382 0.0004627068992704153 0.09908513724803925 0.525802731513977 0.4879933297634125 0.00033175217686221004
    1.2.826.0.1.3680043.8.498.91338101620467965457547874071492373540 0.0003489518421702087 0.0002924458240158856 0.0008209074730984867 0.0007978983921930194 0.0013955176109448075 0.00017264936468563974 0.00042632073746062815 0.061746977269649506 0.24114327132701874 0.7814680337905884 0.00039642746560275555
    1.2.826.0.1.3680043.8.498.11917644130208182659150748051634174498 0.00040710001485422254 0.000383595033781603 0.00042783640674315393 0.0007934296736493707 0.0011761125642806292 0.00010325263428967446 0.0006562326452694833 0.3569119870662689 0.47171181440353394 0.09307868033647537 0.00047137431101873517
    1.2.826.0.1.3680043.8.498.11169256056227577367312248831419605153 0.0003687253629323095 0.0006072347168810666 0.0007056687609292567 0.0003605807723943144 0.0004027672694064677 0.00012870397767983377 0.002056881319731474 0.062421105802059174 0.1300216168165207 0.8474197387695312 0.0004533901228569448
    1.2.826.0.1.3680043.8.498.12844351988007107275286760666115975522 0.0002624858752824366 0.00021300367370713502 0.00013385448255576193 0.00047841877676546574 0.0005522628780454397 3.57211974915117e-05 0.00027508570929057896 0.019209226593375206 0.057575106620788574 0.9344557523727417 0.0001747241331031546
    1.2.826.0.1.3680043.8.498.61132961347415182735864269198687423909 0.0005142957670614123 0.0005272243288345635 0.000514684827066958 0.000825404014904052 0.0012375881196931005 0.00021995545830577612 0.000511992140673101 0.048196662217378616 0.3049960732460022 0.6711477041244507 0.00047895777970552444
    1.2.826.0.1.3680043.8.498.24877744317812716189175865875521852903 0.0005602441378869116 0.0006679828511551023 0.0014002877287566662 0.001543622580356896 0.0012757277581840754 0.0048874253407120705 0.0004417080490384251 0.043015122413635254 0.2562139630317688 0.6625706553459167 0.0008607773343101144
    1.2.826.0.1.3680043.8.498.11955529546224207997315829824466429393 0.0002202899195253849 0.00020160528947599232 0.0002225390198873356 0.00033011980121955276 0.00045591179514303803 0.00012237987539265305 0.00021319891675375402 0.023549148812890053 0.17396843433380127 0.8627533912658691 0.0002053544158115983
    1.2.826.0.1.3680043.8.498.56632570507024077058748331306203358769 0.0001714609534246847 0.0001304283068748191 0.00013597997894976288 0.00034871301613748074 0.00039834267226979136 5.42084380867891e-05 0.00018581832409836352 0.005300851538777351 0.030763674527406693 0.9692190885543823 8.758986950851977e-05
    1.2.826.0.1.3680043.8.498.77410839643001263331668437701314307179 0.0026167971082031727 0.003908025566488504 0.0031907286029309034 0.00441212160512805 0.005029672756791115 0.00110470165964216 0.009081967175006866 0.11156336218118668 0.14058105647563934 0.7775766849517822 0.0016492102295160294
    1.2.826.0.1.3680043.8.498.90682805679590812587186122539979446755 0.0002599028521217406 0.0002605057670734823 0.00024783413391560316 0.00022243901912588626 0.0004591891192831099 4.6114004362607375e-05 0.0007985544507391751 0.14055602252483368 0.18950948119163513 0.6667040586471558 0.0003243706014472991
    1.2.826.0.1.3680043.8.498.10565626582417571154870475413076036571 0.00034732831409201026 0.0006524301134049892 0.0013664739672094584 0.0014984763693064451 0.0019024477805942297 0.006413002498447895 0.0017105014994740486 0.009475423023104668 0.06340698897838593 0.9868179559707642 0.0004861133638769388
    1.2.826.0.1.3680043.8.498.23004766214788339751560348671005992161 0.00014116629608906806 0.00012402309221215546 0.0002363472303841263 0.00031142201623879373 0.00047267082845792174 3.8481870433315635e-05 0.00021966826170682907 0.0032240008004009724 0.02570062316954136 0.9674871563911438 7.899677439127117e-05
    1.2.826.0.1.3680043.8.498.11339872904664890607554713945975584182 0.0036352495662868023 0.006891793105751276 0.01740247756242752 0.01348182838410139 0.007919793017208576 0.040729034692049026 0.01080354768782854 0.1619202196598053 0.26808375120162964 0.6779929995536804 0.6265431642532349
    1.2.826.0.1.3680043.8.498.48035511060147338184052178762165920349 0.00087343854829669 0.0009156716987490654 0.0006564536597579718 0.0013335307594388723 0.001396857900545001 0.0006974393036216497 0.001223666942678392 0.39803346991539 0.4960368275642395 0.216515451669693 0.0011850108858197927
    1.2.826.0.1.3680043.8.498.74973640742923867165002412314990643823 6.514832784887403e-05 9.653681627241895e-05 0.00013820122694596648 0.0001487354311393574 0.00015363625425379723 5.528951805899851e-05 0.000676672556437552 0.0031570843420922756 0.011967786587774754 0.9943891763687134 3.565277802408673e-05
    1.2.826.0.1.3680043.8.498.78604566824714258847174332110127147216 0.01029781810939312 0.19705753028392792 0.8226184844970703 0.039737749844789505 0.14166565239429474 0.038209572434425354 0.7867432832717896 0.1009717583656311 0.26108843088150024 0.19445887207984924 0.0012676698388531804
    1.2.826.0.1.3680043.8.498.82069500016065804828206416935722570466 0.0005138936685398221 0.0011435766937211156 0.0006671857554465532 0.000757315254304558 0.0009842980653047562 0.00021488948550540954 0.001625440432690084 0.12333822250366211 0.7986210584640503 0.35689643025398254 0.00037486135261133313
    1.2.826.0.1.3680043.8.498.33153569574489459860731028764551477651 0.0005318244220688939 0.0069513521157205105 0.98643559217453 0.005897801369428635 0.04411232843995094 0.05395326018333435 0.3585374653339386 0.012657287530601025 0.36277228593826294 0.9349072575569153 0.0009494515834376216
    1.2.826.0.1.3680043.8.498.59348299563464462216898621197677154925 0.00019501616770867258 0.00013600013335235417 0.00010368622315581888 0.00033443933352828026 0.0003726134600583464 2.874408892239444e-05 0.0001657200773479417 0.019994426518678665 0.27742838859558105 0.8298400044441223 0.00015624680963810533
    1.2.826.0.1.3680043.8.498.89246063281246303549643578254959258741 0.002676133532077074 0.007724883500486612 0.10227270424365997 0.017959311604499817 0.04552740976214409 0.017798999324440956 0.0317826047539711 0.042930107563734055 0.1702265739440918 0.8287046551704407 0.0014454361516982317
    1.2.826.0.1.3680043.8.498.12458843250338679001507367554348094535 0.00038665690226480365 0.0007633107015863061 0.0013244564179331064 0.0005679522873833776 0.0010490119457244873 0.00013789845979772508 0.008692009374499321 0.09100346267223358 0.5041481256484985 0.5048094987869263 0.000557183928322047
    1.2.826.0.1.3680043.8.498.56478620155009636929989634279108463210 0.00016606823191978037 0.00025025944341905415 0.0014059138484299183 0.001044516684487462 0.00040634465403854847 0.004163659177720547 0.0001330752274952829 0.009247485548257828 0.05917259305715561 0.9538421630859375 0.0003050506638828665
    1.2.826.0.1.3680043.8.498.33261419034445978851826256692009690308 0.0001737238053465262 0.00013524219684768468 0.00023161372519098222 0.00035787434899248183 0.0005277184536680579 6.694748299196362e-05 0.000306075147818774 0.003275810508057475 0.013162976130843163 0.9898471832275391 5.6313037930522114e-05
    1.2.826.0.1.3680043.8.498.41903685826499641425236586063424336703 0.0002443622797727585 0.00022558541968464851 0.00047600967809557915 0.0006791410851292312 0.0004403080674819648 0.0007651119958609343 0.00017849919095169753 0.04807237535715103 0.36866146326065063 0.4842197000980377 0.0003193010634277016
    1.2.826.0.1.3680043.8.498.71175859987474241742256057191925925891 0.00023380000493489206 0.00016248076281044632 0.0003408036718610674 0.0004783499171026051 0.0005343394004739821 0.000191422674106434 0.00016854859131854028 0.026336584240198135 0.19375349581241608 0.7852464318275452 0.0002313915902050212
    1.2.826.0.1.3680043.8.498.21634840269791482236281415684404182004 0.0007533087627962232 0.0031578908674418926 0.004593365825712681 0.0009163815411739051 0.007282170467078686 0.0010087757837027311 0.6496105790138245 0.07740280032157898 0.09578071534633636 0.9080828428268433 0.0004857006424572319
    1.2.826.0.1.3680043.8.498.18545598291109979913077580715981587445 0.0002802222443278879 0.00025960657512769103 0.0006965448847040534 0.0008228751830756664 0.0005823613028042018 0.0013427432859316468 0.00014925471623428166 0.029547836631536484 0.1666015088558197 0.8237357139587402 0.00043899333104491234
    1.2.826.0.1.3680043.8.498.56877011225583301791059374945888114156 0.003331313608214259 0.09025833755731583 0.9239991307258606 0.01295839250087738 0.03491493687033653 0.25184008479118347 0.6247456073760986 0.31542402505874634 0.5426398515701294 0.7043375968933105 0.010843455791473389
    1.2.826.0.1.3680043.8.498.12713641708172149232429174668873047477 0.00033007338060997427 0.00023423116363119334 0.0003558154567144811 0.0010218078969046474 0.0003063467738684267 0.0008387158741243184 6.568774551851675e-05 0.022871166467666626 0.2050420045852661 0.8157688975334167 0.00032262856257148087
    1.2.826.0.1.3680043.8.498.40749601442791787512721006465452725498 0.0008961268467828631 0.0007964154938235879 0.0007388180820271373 0.0013744498137384653 0.0027192409615963697 0.00023788151156622916 0.005509867332875729 0.07586582750082016 0.2863885760307312 0.7105240225791931 0.001014161854982376
    1.2.826.0.1.3680043.8.498.40840536396620350456990589553197546186 0.0001658208348089829 0.00012624767259694636 0.00020467543799895793 0.0003178759943693876 0.00023582468566019088 0.00015757439541630447 0.0001433205761713907 0.0056108636781573296 0.10552766174077988 0.9129489064216614 0.00011319597251713276
    1.2.826.0.1.3680043.8.498.44464292010042592866773654388281760031 0.006976277567446232 0.09625992923974991 0.9356796145439148 0.03439949452877045 0.06883416324853897 0.01144206989556551 0.4544474482536316 0.13846610486507416 0.41601333022117615 0.40262168645858765 0.004248590208590031
    1.2.826.0.1.3680043.8.498.88593730148764822181752390888764623080 0.000341448379913345 0.0005422952235676348 0.0005802389932796359 0.0006685008993372321 0.0011068423045799136 5.2221515943529084e-05 0.001588140381500125 0.055610429495573044 0.09481098502874374 0.9061743021011353 0.0002345648390473798
    1.2.826.0.1.3680043.8.498.81578028604344115398031017292094155283 0.0020731370896101 0.017827127128839493 0.021310053765773773 0.0011962589342147112 0.008282992988824844 0.0019090272253379226 0.9969175457954407 0.050380729138851166 0.34416818618774414 0.7933956980705261 0.10605859756469727
    1.2.826.0.1.3680043.8.498.98908222855743086928858746031348880895 0.00011728378012776375 8.070455805864185e-05 7.696608372498304e-05 0.0002868318115361035 0.00021344050765037537 7.214818469947204e-05 7.095460023265332e-05 0.008323781192302704 0.08107098191976547 0.8993806838989258 6.855864921817556e-05
    1.2.826.0.1.3680043.8.498.46816011864107532151677791388543705638 0.00041038490599021316 0.0002777354384306818 0.0003167978429701179 0.0006548825185745955 0.0007777981227263808 7.273072696989402e-05 0.0011566008906811476 0.028961291536688805 0.24793753027915955 0.7476701736450195 0.0002580430591478944
    1.2.826.0.1.3680043.8.498.11666794096293005306272987578169450052 0.0002904274151660502 0.0004491223953664303 0.0008605799521319568 0.0005358975613489747 0.0005293783033266664 0.0007882429054006934 0.0002800315269269049 0.0170223917812109 0.15926548838615417 0.8641358613967896 0.0002458533563185483
    1.2.826.0.1.3680043.8.498.76871457677035019439890083005626504089 0.000613528536632657 0.004407346248626709 0.9825770258903503 0.0071614570915699005 0.031139904633164406 0.010922086425125599 0.1067492738366127 0.08626959472894669 0.136710524559021 0.3803784251213074 0.0003184070228599012
    1.2.826.0.1.3680043.8.498.73525763080576653531653397682655076736 0.00016992734163068235 0.0001789603556971997 0.00019624177366495132 0.0002228321973234415 0.0003833255323115736 2.7817406589747407e-05 0.0004616016522049904 0.01176837645471096 0.03688379004597664 0.964443564414978 0.00010098969505634159
    1.2.826.0.1.3680043.8.498.11872568075839752416241555100052501240 0.0003505318018142134 0.0002573098463471979 0.0004887492978014052 0.0005293759750202298 0.0009234145400114357 4.6790828491793945e-05 0.00040981947677209973 0.03705720975995064 0.1646839678287506 0.7579099535942078 0.0002448566083330661
    1.2.826.0.1.3680043.8.498.78304819280004554629895478783561362434 0.00022990230354480445 0.00017560856940690428 0.00019598662038333714 0.0003754002973437309 0.000409265689086169 7.948213897179812e-05 0.00024957439745776355 0.010724538005888462 0.10130620002746582 0.9060691595077515 0.00013821353786624968
    1.2.826.0.1.3680043.8.498.11814158616182174310811063748208631722 0.00037290112231858075 0.00024496132391504943 0.0003267557476647198 0.000693556503392756 0.000759714690502733 9.154751751339063e-05 0.00020529390894807875 0.05259290337562561 0.16697274148464203 0.8525372743606567 0.00031465262873098254
    1.2.826.0.1.3680043.8.498.13279055105167867830517676460358545937 0.007919976487755775 0.10083595663309097 0.7552814483642578 0.021335061639547348 0.09977789223194122 0.049917422235012054 0.6326571702957153 0.11666824668645859 0.3174019455909729 0.6724449992179871 0.011581411585211754
    1.2.826.0.1.3680043.8.498.99810706360257009590045974094079194274 0.016879403963685036 0.18857979774475098 0.56914883852005 0.030764544382691383 0.032409779727458954 0.7985013723373413 0.15711860358715057 0.08306699991226196 0.36320623755455017 0.8553412556648254 0.4452630877494812
    1.2.826.0.1.3680043.8.498.57266523913644123307619960461354773360 0.00010502146324142814 9.1717709437944e-05 9.865864558378235e-05 0.0002761104260571301 0.00013351134839467704 0.00013745608157478273 5.235814751358703e-05 0.007093694061040878 0.018940258771181107 0.9837812185287476 7.142640242818743e-05
    1.2.826.0.1.3680043.8.498.76808461412651746026842033523677149418 0.00017550047778058797 0.00017541136185172945 0.00019594123295973986 0.00026551439077593386 0.0003632909501902759 3.3909025660250336e-05 0.0009275244665332139 0.008296948857605457 0.058755405247211456 0.9681345820426941 0.0001031408755807206
    1.2.826.0.1.3680043.8.498.70782598468907638873292604213475860509 0.006451161112636328 0.008202300406992435 0.010563827119767666 0.031092435121536255 0.09359078109264374 0.029046159237623215 0.3669965863227844 0.21394243836402893 0.20475561916828156 0.3250871002674103 0.0020397058688104153
    1.2.826.0.1.3680043.8.498.71782489462783146225108058229529734512 0.0005913632339797914 0.0004847668460570276 0.0004700891731772572 0.0009772581979632378 0.0008018341031856835 0.0012988534290343523 0.0009156794985756278 0.24246275424957275 0.2790430188179016 0.47086387872695923 0.0012842213036492467
    1.2.826.0.1.3680043.8.498.39234767754490592424988981849944381968 0.0005199689767323434 0.0007486898102797568 0.0010900117922574282 0.0006328256567940116 0.001392869045957923 0.00013230663898866624 0.003248130436986685 0.10649055242538452 0.5046464204788208 0.44433870911598206 0.0004680402053054422
    1.2.826.0.1.3680043.8.498.12133670040296535917435599205235308181 0.0003350636106915772 0.0003972669946961105 0.0006695754127576947 0.0010622378904372454 0.0011610265355557203 0.0001455556193832308 0.001620273687876761 0.005672753788530827 0.028575848788022995 0.9871614575386047 0.00016735745884943753
    1.2.826.0.1.3680043.8.498.11657612525731744053069463105782925883 0.00043799838749691844 0.0004057890619151294 0.00029770401306450367 0.0005493267672136426 0.0008747117826715112 9.075524576473981e-05 0.00043402990559116006 0.07257729768753052 0.30113548040390015 0.630386233329773 0.000371227681171149
    1.2.826.0.1.3680043.8.498.13387575526826555914356706150581962490 0.001388027798384428 0.01140807755291462 0.03246012702584267 0.002701567020267248 0.007943795062601566 0.0004476945905480534 0.03217250481247902 0.01190180890262127 0.0465182289481163 0.9729868769645691 0.00041985735879279673
    1.2.826.0.1.3680043.8.498.18209676566034696418730849635830671431 0.00030263056396506727 0.0004092483432032168 0.0002858098014257848 0.0003989798133261502 0.00047524567344225943 0.00012768738088198006 0.0005611454835161567 0.32259517908096313 0.6950112581253052 0.11693908274173737 0.0003012441738974303
    1.2.826.0.1.3680043.8.498.43634606114166858963586541202713361297 0.0005692823906429112 0.0006335251964628696 0.0006497488939203322 0.0013989092549309134 0.0016745992470532656 0.0011145307216793299 0.0010980733204632998 0.5686535239219666 0.2615886628627777 0.7369226217269897 0.0029390095733106136
    1.2.826.0.1.3680043.8.498.48608201300827462620365303019218322941 0.00019562286615837365 0.00021914434910286218 0.00015531627286691219 0.00033752823946997523 0.0003997765015810728 9.45376668823883e-05 0.0006129614193923771 0.02260240539908409 0.08247651159763336 0.9255801439285278 0.00022771504882257432
    1.2.826.0.1.3680043.8.498.12112676809837712447431524574635648994 0.0017310872208327055 0.042196474969387054 0.9391443133354187 0.010067282244563103 0.040113773196935654 0.008682936429977417 0.29166078567504883 0.19246907532215118 0.5358766913414001 0.4988207221031189 0.0008775469032116234
    1.2.826.0.1.3680043.8.498.41864385375841329575740971785299692249 0.0005417467909865081 0.0008154932293109596 0.0007530150469392538 0.001143549452535808 0.0008411603048443794 0.0016055386513471603 0.0005285607185214758 0.06145024299621582 0.5249104499816895 0.7030960321426392 0.000494354753755033
    1.2.826.0.1.3680043.8.498.12406248471694238889253401264708540141 0.0006580743938684464 0.000992426066659391 0.0006634912570007145 0.0005338426562957466 0.001055283471941948 4.5518263505073264e-05 0.009423008188605309 0.28436917066574097 0.30530214309692383 0.6044772267341614 0.000762390554882586
    1.2.826.0.1.3680043.8.498.12211092155308768053816041060453841152 0.0002497950627002865 0.0005163674941286445 0.0007673288346268237 0.0010853030253201723 0.00038988766027614474 0.003490688279271126 9.061075979843736e-05 0.010836029425263405 0.31385424733161926 0.8358889818191528 0.00029294099658727646
    1.2.826.0.1.3680043.8.498.13404307043632126672696594912932969563 0.0003742401604540646 0.00046222121454775333 0.0005398054490797222 0.0007932041771709919 0.00040633341995999217 0.000842177018057555 0.00013052373833488673 0.031534142792224884 0.15791580080986023 0.7872923612594604 0.000453759275842458
    1.2.826.0.1.3680043.8.498.17590442738033218864610250657366082359 0.0005404546391218901 0.0008815882611088455 0.0007556568598374724 0.0007098425412550569 0.0012842471478506923 8.015687490114942e-05 0.003061482449993491 0.23996441066265106 0.5079770684242249 0.24411019682884216 0.00045072310604155064
    1.2.826.0.1.3680043.8.498.14436134197489242999356261105300193244 0.00024078898422885686 0.001200872240588069 0.9871749877929688 0.012092851102352142 0.024115942418575287 0.05221055820584297 0.008308489806950092 0.03309110552072525 0.15754087269306183 0.7336814999580383 0.00022596973576582968
    1.2.826.0.1.3680043.8.498.11673089850609728113175767817033739792 0.0005546571919694543 0.0004697887343354523 0.0005126981413923204 0.001132164616137743 0.0011816450860351324 0.0005768064293079078 0.0006200977368280292 0.30022767186164856 0.5290846824645996 0.2678954303264618 0.0010920462664216757
    1.2.826.0.1.3680043.8.498.89079018247674289360334226660537800410 0.00034011685056611896 0.0004602372646331787 0.0005422632093541324 0.0007342682802118361 0.001012028194963932 0.0004127170832362026 0.0003952043189201504 0.6057326197624207 0.3666796088218689 0.16598930954933167 0.0006460400763899088
    1.2.826.0.1.3680043.8.498.21450204990921312019264719664257128914 0.00014170493523124605 0.00016250830958597362 0.0003374532680027187 0.0004592354816850275 0.00023248237266670913 0.0006651782314293087 5.794394019176252e-05 0.010121650993824005 0.04992144554853439 0.9600232243537903 8.973325020633638e-05
    1.2.826.0.1.3680043.8.498.80156357640051840845302299553336171870 0.0004971096059307456 0.0004352752584964037 0.0005740331253036857 0.0010014597792178392 0.0015571361873298883 0.0006778064416721463 0.0009210163843818009 0.012431992217898369 0.11847075074911118 0.8939455151557922 0.00025281807756982744
    1.2.826.0.1.3680043.8.498.12643531277990518735644806551014083268 0.000685376871842891 0.0008551921928301454 0.0010016228770837188 0.0012057225685566664 0.001466365298256278 0.00019254768267273903 0.0010381877655163407 0.3691118657588959 0.4423336386680603 0.20091262459754944 0.0005237570148892701
    1.2.826.0.1.3680043.8.498.47405986661499632181997525766408538259 0.0007155683706514537 0.0007502084481529891 0.0010334207909181714 0.0032772656995803118 0.002374926581978798 0.003657634137198329 0.0016408513765782118 0.0209321491420269 0.039750587195158005 0.9622846841812134 0.0008937312522903085
    1.2.826.0.1.3680043.8.498.81322734043047241903032169530741360086 0.00011809538409579545 0.00015652172442059964 0.00024551383103244007 0.000348761590430513 0.000103197198768612 0.000708878505975008 2.4718057829886675e-05 0.09484919905662537 0.25781768560409546 0.6423292756080627 0.00023426293046213686
    1.2.826.0.1.3680043.8.498.12782432725709980940680831834063709709 0.00034921543556265533 0.00042666791705414653 0.0006863870657980442 0.0008250924875028431 0.0005759599735029042 0.0014253149274736643 0.0002405228151474148 0.03569884970784187 0.037920836359262466 0.9679819345474243 0.00047220042324624956
    1.2.826.0.1.3680043.8.498.20194776470233134706625013489329045123 0.00020921423856634647 0.00023785994562786072 0.0004328553914092481 0.00038956181379035115 0.0005368723650462925 0.00014683324843645096 0.000515467138029635 0.006521926261484623 0.00892757996916771 0.9915364980697632 7.372580876108259e-05
    1.2.826.0.1.3680043.8.498.10453648010883809632116734663502778352 6.443748861784115e-05 9.62842968874611e-05 0.00027791192405857146 0.0003950587415602058 6.28477064310573e-05 0.000902014784514904 1.2461042388167698e-05 0.023636668920516968 0.3014698326587677 0.9058866500854492 0.00012942726607434452
    1.2.826.0.1.3680043.8.498.51647936383696508989825050748582468374 0.00227547250688076 0.0071097975596785545 0.004619124345481396 0.0037843207828700542 0.00851530022919178 0.000663038925267756 0.12832917273044586 0.06243538856506348 0.4663263261318207 0.5752874612808228 0.0017645100597292185
    1.2.826.0.1.3680043.8.498.10094146325806321208448640627850914684 0.00023253538529388607 0.00023132903152145445 0.0001758700964273885 0.0002780361974146217 0.0004190973995719105 4.3438776629045606e-05 0.0005391524755395949 0.08249368518590927 0.29824328422546387 0.6800362467765808 0.00020432709425222129
    1.2.826.0.1.3680043.8.498.81490705289978765374638167073887912818 0.00036634752177633345 0.00035005470272153616 0.0002683648490346968 0.0005308675463311374 0.0009983307681977749 6.042330642230809e-05 0.0007308598724193871 0.06787101179361343 0.09090190380811691 0.8935645818710327 0.0002882973931264132
    1.2.826.0.1.3680043.8.498.61142809811793327292699755311399099318 0.00015210379206109792 9.37761360546574e-05 0.00016442479682154953 0.00038281813613139093 0.00030346622224897146 8.185979095287621e-05 0.0001147860093624331 0.06144049018621445 0.5745311975479126 0.35963669419288635 0.00018464271852280945
    1.2.826.0.1.3680043.8.498.77805869963071059406457689246147407656 0.0002229739911854267 0.00017527768795844167 0.00020309588580857962 0.00039405058487318456 0.0004822394694201648 9.730329475132748e-05 0.00018237633048556745 0.008684689179062843 0.109075628221035 0.8924827575683594 0.0001528656284790486
    1.2.826.0.1.3680043.8.498.72169376798985028085102238642734897861 0.0003385511809028685 0.00023775380395818502 0.0004118556680623442 0.0005635757697746158 0.0006690268637612462 6.753231718903407e-05 0.00023652992967981845 0.03254813700914383 0.13492369651794434 0.8864777684211731 0.0002635580312926322
    1.2.826.0.1.3680043.8.498.12356189342339621739919746647033386066 0.00016717029211577028 0.00028108389233238995 0.0004556180792860687 0.0002553605008870363 0.0004809479578398168 3.8125876017147675e-05 0.0009343861602246761 0.0029471442103385925 0.01355992816388607 0.9886772036552429 6.261345697566867e-05
    1.2.826.0.1.3680043.8.498.30384301771245189772464047770976515402 0.00020130032498855144 0.00011492478370200843 0.00012253245222382247 0.0003596560563892126 0.0003429876815062016 0.00013486073294188827 0.00011145627649966627 0.043360933661460876 0.39163938164711 0.5945543646812439 0.00018368854944128543
    1.2.826.0.1.3680043.8.498.97634735652355481934207263393779016912 0.003076563123613596 0.06503183394670486 0.46480828523635864 0.021441206336021423 0.026374567300081253 0.7265059947967529 0.019320260733366013 0.021718617528676987 0.17000102996826172 0.8493062853813171 0.0034558125771582127
    1.2.826.0.1.3680043.8.498.46212747128934610650169674309412120330 0.00023637914273422211 0.00028432830004021525 0.0003650992293842137 0.0005802146624773741 0.0007183323032222688 0.0001313247630605474 0.0006469564395956695 0.012156869284808636 0.020759571343660355 0.9791707992553711 0.0021799649111926556
    1.2.826.0.1.3680043.8.498.74333861938448705828721995260848098025 0.0009359684772789478 0.0009550799732096493 0.000737873197067529 0.0015328644076362252 0.0008570562349632382 0.001360959722660482 0.0003758842940442264 0.08920302987098694 0.4656836986541748 0.4997182786464691 0.0007903050864115357
    1.2.826.0.1.3680043.8.498.10195211368529959542348515911165547702 0.00021911304793320596 0.00027415520162321627 0.00040000778972171247 0.00030105316545814276 0.000448862265329808 6.51231239316985e-05 0.00034931773552671075 0.01090112142264843 0.0546855702996254 0.9592434167861938 0.00010295976244378835
    1.2.826.0.1.3680043.8.498.11703581139172935876164028618620992696 0.0003894696419592947 0.0005497125093825161 0.0006939072045497596 0.0007213336648419499 0.001049832790158689 0.00011483814159873873 0.0020062769763171673 0.023078078404068947 0.09468184411525726 0.9085602760314941 0.0002522306749597192
    1.2.826.0.1.3680043.8.498.58902640143016270334795544821618122610 0.0003026641788892448 0.0001843002683017403 0.0002790992148220539 0.00044596538646146655 0.0004413399728946388 0.0001506626867922023 0.00013835208665113896 0.10091909021139145 0.07837463170289993 0.8325144052505493 0.00018525254563428462
    1.2.826.0.1.3680043.8.498.61690058303332338684500076679190810159 0.0008077553356997669 0.0006478945724666119 0.0011847084388136864 0.0016115617472678423 0.003988845739513636 0.00044924806570634246 0.008474426344037056 0.024897050112485886 0.09023972600698471 0.8588861227035522 0.00042657219455577433
    1.2.826.0.1.3680043.8.498.34263741545337717479995873496784968927 0.0005265096551738679 0.0005990214413031936 0.0010047690011560917 0.001314653316512704 0.0020525504369288683 0.0015344347339123487 0.001496236538514495 0.004483804572373629 0.10446818917989731 0.9099698066711426 0.000216469939914532
    1.2.826.0.1.3680043.8.498.22166619728444998544492586165402847096 0.000252112396992743 0.0002136887051165104 0.0005455665523186326 0.0007307405467145145 0.0011651106178760529 0.00018004013691097498 0.0008773184381425381 0.00763654476031661 0.01929071918129921 0.9742525219917297 0.00011356580216670409
    1.2.826.0.1.3680043.8.498.29452334407726450216508917018265577737 0.0044301897287368774 0.006347459740936756 0.005309836473315954 0.013676849193871021 0.0786442756652832 0.02615758217871189 0.590485155582428 0.022675499320030212 0.2679367661476135 0.8074647784233093 0.0022705714218318462
    1.2.826.0.1.3680043.8.498.68092687706530095594445076983447638891 0.000549665535800159 0.0006835561944171786 0.0005575093673542142 0.0010243909200653434 0.0018338877707719803 6.838023546151817e-05 0.002364282263442874 0.04044998437166214 0.2962149977684021 0.680277943611145 0.0006044417386874557
    1.2.826.0.1.3680043.8.498.75632399509422378624464439317860254040 0.00022561215155292302 0.0001816430303733796 0.00021942592866253108 0.0005065860459581017 0.0002937160024885088 0.0002618310390971601 9.78094176389277e-05 0.04091053828597069 0.6250720620155334 0.4762538969516754 0.0002739533956628293
    1.2.826.0.1.3680043.8.498.87266236722238633380377994683856607240 0.0005053686327300966 0.0004703575687017292 0.0006262160022743046 0.0018420008709654212 0.003575277281925082 0.0021169886458665133 0.0018037272384390235 0.010106479749083519 0.01692133955657482 0.9860031008720398 0.00019879564933944494
    1.2.826.0.1.3680043.8.498.83728083150953592736348673068321787132 0.00113889598287642 0.0013617444783449173 0.003535497235134244 0.0037611809093505144 0.003261283738538623 0.002897683996707201 0.001647524768486619 0.19442716240882874 0.2030254304409027 0.7543509602546692 0.0019113151356577873
    1.2.826.0.1.3680043.8.498.12509614090902902715683956862402784774 0.0006594516453333199 0.0007754187099635601 0.0005951310740783811 0.0009670858271420002 0.0023315411526709795 0.0001823452184908092 0.002343681873753667 0.017421551048755646 0.09082166850566864 0.9508487582206726 0.0008657758007757366
    1.2.826.0.1.3680043.8.498.91164579667682714281357340838704670696 0.00021557346917688847 0.00018494670803193003 0.00012345853610895574 0.0002458172384649515 0.0002337455953238532 3.769508475670591e-05 0.0002142501762136817 0.0908857136964798 0.2783852219581604 0.6239081621170044 0.00016421143664047122
    1.2.826.0.1.3680043.8.498.12359137990822021577883724502100398479 0.0003197453042957932 0.0003617257752921432 0.0006142372731119394 0.0007065453683026135 0.0007581819081678987 0.00042528187623247504 0.000537236628588289 0.007722434587776661 0.07885010540485382 0.951910138130188 0.0002438512456137687
    1.2.826.0.1.3680043.8.498.22430706329494401240402912416645753576 0.0001800601021386683 0.00026178761618211865 0.00040909339440986514 0.0003099896421190351 0.000639344216324389 0.00010093105083797127 0.004063216038048267 0.006445488426834345 0.0488080270588398 0.9668546915054321 0.00011028054723283276
    1.2.826.0.1.3680043.8.498.16964748401766446075199857037163287821 0.0039528789930045605 0.07212211191654205 0.9180900454521179 0.011279383674263954 0.04542864114046097 0.031612642109394073 0.8872200846672058 0.4451533854007721 0.28237205743789673 0.18985947966575623 0.0054289777763187885
    1.2.826.0.1.3680043.8.498.37771017469515996300465975485358503289 0.000278315506875515 0.0002590609947219491 0.00022225691645871848 0.0004972602473571897 0.0006463312893174589 3.40682381647639e-05 0.0016647152369841933 0.05258352681994438 0.46763157844543457 0.5536968111991882 0.00030138686997815967
    1.2.826.0.1.3680043.8.498.56885893814153927130016502527821521260 0.0008636262500658631 0.001251811976544559 0.001134763821028173 0.000797984073869884 0.0012905590701848269 0.00018297995848115534 0.015756836161017418 0.07517366111278534 0.2727040648460388 0.6295889616012573 0.0006300947861745954
    1.2.826.0.1.3680043.8.498.53192877225310573729997382089132044186 0.0001493978052167222 0.00020431846496649086 0.0005195830017328262 0.0003294141497462988 0.0005885094287805259 4.6496817958541214e-05 0.0005774212768301368 0.005799763835966587 0.02766011655330658 0.9804167747497559 7.208851457107812e-05
    1.2.826.0.1.3680043.8.498.43827360412466355772567511078146231726 8.908568997867405e-05 6.775864312658086e-05 0.00015109687228687108 0.00024559019948355854 0.0002729445113800466 5.06070427945815e-05 0.00013427769590634853 0.001531772082671523 0.008534422144293785 0.9963382482528687 3.0772629543207586e-05
    1.2.826.0.1.3680043.8.498.59019830641905519819647841699974569032 9.277889330405742e-05 7.62791169108823e-05 0.00014102659770287573 0.00015191006241366267 0.00023821232025511563 3.595467933337204e-05 0.00011348391126375645 0.0033069110941141844 0.026180993765592575 0.9774600863456726 5.025571954320185e-05
    1.2.826.0.1.3680043.8.498.81857385815868442129359371050981021727 0.00023197320115286857 0.000743095064535737 0.0025675389915704727 0.0004007794486824423 0.0005652614054270089 3.525300417095423e-05 0.052885182201862335 0.03831765055656433 0.0780191421508789 0.954982578754425 0.00023502511612605304
    1.2.826.0.1.3680043.8.498.75750749127884411732375401462605377174 0.0002855472848750651 0.00029787112725898623 0.0005000938544981182 0.0028481497429311275 0.0008671094547025859 0.023573247715830803 0.000648787128739059 0.01985185034573078 0.12481125444173813 0.913282036781311 0.00032610935159027576
    1.2.826.0.1.3680043.8.498.18704126664162192127925247705877643924 0.005522219929844141 0.2502414286136627 0.743392825126648 0.003961974289268255 0.021966373547911644 0.001992226345464587 0.9805940389633179 0.1483931690454483 0.43467360734939575 0.33353176712989807 0.0029269326478242874
    1.2.826.0.1.3680043.8.498.11974599143756661033927624829577808838 0.0002903736603911966 0.00019550870638340712 0.0001477253099437803 0.0004268595948815346 0.00044705072650685906 3.5809171095024794e-05 0.00039834651397541165 0.027846064418554306 0.1012127622961998 0.8960181474685669 0.0001907593396026641
    1.2.826.0.1.3680043.8.498.10549251034814065583430218743260005251 0.0002815334009937942 0.0003682276583276689 0.000256764906225726 0.0005614353576675057 0.0002076406090054661 0.0008243831689469516 6.506159115815535e-05 0.18479150533676147 0.5507791638374329 0.3949286639690399 0.0005543123697862029
    1.2.826.0.1.3680043.8.498.30586004280038303349744451979891383410 0.00014361619832925498 0.00015325532876886427 0.0001845643564593047 0.00020886657875962555 0.0001232003269251436 0.0001223788276547566 0.0067576146684587 0.2143951654434204 0.8274755477905273 0.00010417068551760167
    1.2.826.0.1.3680043.8.498.77922046441453733568004883804079701672 0.0005775471217930317 0.0008042769622988999 0.0006110529648140073 0.0006632111617363989 0.0012042585294693708 8.025737770367414e-05 0.0017859907820820808 0.18293151259422302 0.2139076441526413 0.6390389204025269 0.0005938018439337611
    1.2.826.0.1.3680043.8.498.62191038700575587109037490804280867452 0.014489935711026192 0.01610804721713066 0.005893658380955458 0.09014686942100525 0.07349973917007446 0.5980665683746338 0.34421342611312866 0.06119116395711899 0.34819045662879944 0.7632720470428467 0.014274269342422485
    1.2.826.0.1.3680043.8.498.39479864161386404434505693806882913226 0.000377789227059111 0.00032981758704409003 0.00045309163397178054 0.0009949029190465808 0.0010340831940993667 0.0003763216664083302 0.0004272751393727958 0.02254628948867321 0.3164328932762146 0.7183837890625 0.00029491729219444096
    1.2.826.0.1.3680043.8.498.12363887994149938619887553089953330746 0.00023910317395348102 0.00016843157936818898 0.00021417129028122872 0.0005620651645585895 0.00036196756991557777 0.0003165642265230417 8.991843060357496e-05 0.016200948506593704 0.09097920358181 0.8923381567001343 0.000181260853423737
    1.2.826.0.1.3680043.8.498.12690617441924311870163706574398714392 0.0001943435927387327 0.0002275665756314993 0.00032722813193686306 0.0008174289250746369 0.000211676859180443 0.0012148544192314148 4.7750560042914e-05 0.02549467608332634 0.178745836019516 0.770105242729187 0.0002672444679774344
    1.2.826.0.1.3680043.8.498.22026821214378213806042122501263110186 0.003523683175444603 0.11150316148996353 0.8180252909660339 0.018862124532461166 0.03665836900472641 0.7358039617538452 0.23333163559436798 0.07605951279401779 0.3551785945892334 0.2935560345649719 0.001544626196846366
    1.2.826.0.1.3680043.8.498.92276766584106362018992408134502263239 6.816424138378352e-05 8.228589285863563e-05 0.00020449250587262213 0.000109379856439773 0.0002231556863989681 1.2171153684903402e-05 0.0003679336223285645 0.0019654552452266216 0.015647808089852333 0.9912523031234741 2.338271588087082e-05
    1.2.826.0.1.3680043.8.498.33964543598732700482240933255985694084 0.00012327288277447224 0.00015012078802101314 0.0002792762534227222 0.0004876342718489468 0.00018219095363747329 0.0007265487220138311 3.862724042846821e-05 0.02426549233496189 0.17344288527965546 0.8397997617721558 0.00027883355505764484
    1.2.826.0.1.3680043.8.498.71621932904424978840863115175793414857 0.0039810361340641975 0.13245835900306702 0.8356531858444214 0.01260183472186327 0.04539048671722412 0.7121241688728333 0.26587969064712524 0.020063502714037895 0.12579378485679626 0.8890413045883179 0.0015634357696399093
    1.2.826.0.1.3680043.8.498.10008058926714428108535101002094531530 0.0003546507505234331 0.0003784614091273397 0.0006540759350173175 0.001174609875306487 0.0013824331108480692 0.0003172516298945993 0.0008434796473011374 0.0037361844442784786 0.012345349416136742 0.9922374486923218 0.00011938759416807443
    1.2.826.0.1.3680043.8.498.18396464708185150952665736288869462235 0.00018755281053017825 0.00030990917002782226 0.0006890058284625411 0.00045377566129900515 0.000414708920288831 0.0013574486365541816 0.00033376546343788505 0.019009331241250038 0.25728514790534973 0.8516826629638672 0.0003682402311824262
    1.2.826.0.1.3680043.8.498.11887617185094156827662659495458744214 0.0011738300090655684 0.0030771654564887285 0.0018927541095763445 0.0015105896163731813 0.002769649028778076 0.0002635509299580008 0.021489057689905167 0.03168117254972458 0.11253543943166733 0.9205123782157898 0.0008722540806047618
    1.2.826.0.1.3680043.8.498.70328648823088343910147863220906581718 0.0001520102086942643 0.00011690954852383584 0.0002001030370593071 0.00033073165104724467 0.00030686723766848445 0.00010304234456270933 0.00016238688840530813 0.003273065434768796 0.017861023545265198 0.9841874837875366 6.285203562583774e-05
    1.2.826.0.1.3680043.8.498.88063584895574055026959171185711021088 0.000910077418666333 0.0006705710547976196 0.0007759080035611987 0.0014986091991886497 0.0019532633014023304 0.00031676076469011605 0.0017093379283323884 0.05743259936571121 0.20455078780651093 0.7589892148971558 0.0008500573458150029
    1.2.826.0.1.3680043.8.498.21170277321574570185569453036166718051 0.015827879309654236 0.027878576889634132 0.03183992952108383 0.03873923420906067 0.102846160531044 0.07398346811532974 0.6167527437210083 0.4828229546546936 0.3404322862625122 0.3969497084617615 0.03350064903497696
    1.2.826.0.1.3680043.8.498.32676487193130983448300390782093065797 0.0008117484976537526 0.0008249239763244987 0.0005947643076069653 0.0013625655556097627 0.0009275477495975792 0.0005815656040795147 0.0004301730659790337 0.17577117681503296 0.3228776156902313 0.6504589319229126 0.001556634670123458
    1.2.826.0.1.3680043.8.498.63998424982497701165922011146575577968 0.00016262891585938632 0.00010015243606176227 9.919427975546569e-05 0.00028109137201681733 0.00022573552269022912 6.049731746315956e-05 7.324425678234547e-05 0.03425219655036926 0.13739752769470215 0.7967905402183533 0.00012902643356937915
    1.2.826.0.1.3680043.8.498.12603160613500099551336414640225619526 0.0004902367945760489 0.0005745668895542622 0.0010258491383865476 0.0019459659233689308 0.0007575269555673003 0.002175291534513235 0.0002909036702476442 0.15937180817127228 0.32771170139312744 0.4798339009284973 0.0007135564228519797
    1.2.826.0.1.3680043.8.498.13270401963429381678784059795188196630 8.746417006477714e-05 0.0010558130452409387 0.9980770945549011 0.003000678028911352 0.02657253108918667 0.005363130010664463 0.2117375135421753 0.025711556896567345 0.09430056810379028 0.9304254651069641 9.286731801694259e-05
    1.2.826.0.1.3680043.8.498.13009239559161391035263784096186517023 0.00010607352305669338 7.267525506904349e-05 0.0001370590180158615 0.00038392964052036405 0.00010898953769356012 0.0002683724742382765 2.207524266850669e-05 0.021084574982523918 0.03859575837850571 0.9609667062759399 0.00012018824054393917
    1.2.826.0.1.3680043.8.498.87495219776445624190081795282417064213 0.011482189409434795 0.040224891155958176 0.021791789680719376 0.05964796617627144 0.05598442628979683 0.6759254336357117 0.3000842332839966 0.04884480684995651 0.327862411737442 0.6345607042312622 0.008136444725096226
    1.2.826.0.1.3680043.8.498.71342489245280718128618773080729916206 0.004035485442727804 0.005226133856922388 0.0044947657734155655 0.012561386451125145 0.051789380609989166 0.005787224508821964 0.5041075944900513 0.10794393718242645 0.23823805153369904 0.7394811511039734 0.002942513907328248
    1.2.826.0.1.3680043.8.498.11268745110015604655318936660357801575 0.00519601721316576 0.007123257033526897 0.006818599998950958 0.011887953616678715 0.060262810438871384 0.0065346648916602135 0.47526341676712036 0.193025141954422 0.19507762789726257 0.7763615846633911 0.0041960556991398335
    1.2.826.0.1.3680043.8.498.11842027040455737053232921692939600178 0.001286980346776545 0.0013785006012767553 0.0018524486804381013 0.003669302212074399 0.004534193314611912 0.00897723063826561 0.0029775500297546387 0.08081109821796417 0.10679197311401367 0.883090615272522 0.002059050602838397
    1.2.826.0.1.3680043.8.498.12859253176062036620560779082110324774 0.000914004456717521 0.0008850701269693673 0.0005548661574721336 0.0014749678084626794 0.0020003251265734434 0.0009379229741171002 0.0007785927737131715 0.6569919586181641 0.24929749965667725 0.23640076816082 0.001788798370398581
    1.2.826.0.1.3680043.8.498.65462481489479162232526769534474621117 0.0007245271117426455 0.0007671290077269077 0.0009244393440894783 0.0016671629855409265 0.0014913319610059261 0.0015375715447589755 0.0017583577428013086 0.14925572276115417 0.36606505513191223 0.4210643768310547 0.0005164852482266724
    1.2.826.0.1.3680043.8.498.35613729739489135342981110864259194053 0.00021747527352999896 0.00020964746363461018 0.0002390594017924741 0.0003458218416199088 0.0005150517099536955 6.0352071159286425e-05 0.00017267199291381985 0.01908854953944683 0.16017499566078186 0.83573979139328 0.00011561812425497919
    1.2.826.0.1.3680043.8.498.29510903795504648944351779706912449948 0.0001871860004030168 0.0001379858294967562 0.00020580258569680154 0.0004954455653205514 0.00046116215526126325 0.00013803059118799865 0.00012995627184864134 0.01794143207371235 0.07445529103279114 0.9104178547859192 0.0001397798041580245
    1.2.826.0.1.3680043.8.498.10582834509208340350011661343385196383 7.292679219972342e-05 4.846627780352719e-05 9.578512981534004e-05 0.000161273535923101 8.308079850394279e-05 0.00018009002087637782 2.253905768156983e-05 0.009477744810283184 0.07415835559368134 0.9086781740188599 8.068063471000642e-05
    1.2.826.0.1.3680043.8.498.10646096132182407636078702107950699391 0.0003616156172938645 0.00029648543568328023 0.0002746186510194093 0.0011501311091706157 0.000471998646389693 0.0005290068802423775 0.00016665889415889978 0.43885403871536255 0.3519894480705261 0.24046531319618225 0.00038632197538390756
    1.2.826.0.1.3680043.8.498.62893617721287412834018697266773475971 0.0004074779280927032 0.0003519324236549437 0.0005565640749409795 0.0006372696370817721 0.0010072292061522603 8.988600166048855e-05 0.0011901987018063664 0.025284206494688988 0.07736220210790634 0.9255906343460083 0.0002970492350868881
    1.2.826.0.1.3680043.8.498.82185861949606943859473573705644633028 0.00037010005326010287 0.0003280221135355532 0.00042746117105707526 0.0007009761175140738 0.0009944322519004345 0.00019624200649559498 0.00048458954552188516 0.018986323848366737 0.14436684548854828 0.8608168363571167 0.0002118610282195732
    1.2.826.0.1.3680043.8.498.67847063361610589971870982251514022844 0.00024188196402974427 0.00015176975284703076 0.00016662952839396894 0.0004800630849786103 0.0005637108697555959 5.465701178763993e-05 0.00017487502191215754 0.017421487718820572 0.10731451213359833 0.8819400668144226 0.00016026425873860717
    1.2.826.0.1.3680043.8.498.58953031993963894032766927734802618198 0.00022468247334472835 0.00018084316980093718 0.00017247609503101557 0.00025961018400266767 0.00031665340065956116 3.053889668080956e-05 0.0007781496969982982 0.04579683020710945 0.14618434011936188 0.8844165802001953 0.00022530113346874714
    1.2.826.0.1.3680043.8.498.78816522419327550777815192913248485990 0.0005899575189687312 0.002051509916782379 0.019074490293860435 0.000608505797572434 0.0013514264719560742 0.00022261947742663324 0.03552956134080887 0.20979540050029755 0.33574092388153076 0.6976341605186462 0.0017889229347929358
    1.2.826.0.1.3680043.8.498.46721135048146745530227632552346329979 0.00016793058603070676 0.00011843551328638569 0.00016999617218971252 0.00035074527841061354 0.00023545305884908885 0.0001823096099542454 9.415643580723554e-05 0.06484965234994888 0.5455260276794434 0.42016109824180603 0.0002281920751556754
    1.2.826.0.1.3680043.8.498.41562612771133680152527141887374134694 0.0012029603822156787 0.0021281796507537365 0.004276536405086517 0.012225426733493805 0.010043321177363396 0.1225997656583786 0.01323998998850584 0.01686338521540165 0.06294544786214828 0.949501633644104 0.001240715617313981
    1.2.826.0.1.3680043.8.498.11311844556085059542108762719494631242 0.0041703456081449986 0.14528051018714905 0.7266527414321899 0.0320880226790905 0.017133047804236412 0.7873337864875793 0.024462662637233734 0.021249543875455856 0.13411226868629456 0.9375243186950684 0.0017810655990615487
    1.2.826.0.1.3680043.8.498.99232923575614951446685004892386174505 0.0005952561041340232 0.001060613663867116 0.0015021973522379994 0.0011169625213369727 0.0015954505652189255 0.0014935227809473872 0.002031970303505659 0.028117720037698746 0.30962780117988586 0.8615719079971313 0.0006920304731465876
    1.2.826.0.1.3680043.8.498.45035856267566056638338090464558209330 0.00019511683785822242 0.00018810118490364403 0.00022578253992833197 0.0003378859837539494 0.0005125632742419839 4.125742270844057e-05 0.00036091814399696887 0.0794520154595375 0.7077739238739014 0.3782358169555664 0.00020315730944275856
    1.2.826.0.1.3680043.8.498.26907137437799109813882547180388074440 0.00020873236644547433 0.0002970307832583785 0.0006418436532840133 0.0003902452881447971 0.000655955751426518 7.193409692263231e-05 0.00041626772144809365 0.022933561354875565 0.29739221930503845 0.7666273713111877 0.00014273343549575657
    1.2.826.0.1.3680043.8.498.12988137998912831707023489842671748297 0.004543835762888193 0.07258719950914383 0.9262081384658813 0.020925525575876236 0.08527660369873047 0.010334273800253868 0.4028263986110687 0.10222847759723663 0.18020865321159363 0.5900743007659912 0.0026882081292569637
    1.2.826.0.1.3680043.8.498.15532319514862283426121874596081423972 0.013797640800476074 0.25817495584487915 0.6400560140609741 0.0313517227768898 0.08484984189271927 0.18291404843330383 0.5757184624671936 0.04067831486463547 0.3164844512939453 0.5802360773086548 0.008136979304254055
    1.2.826.0.1.3680043.8.498.10160190622509367121606142255052403493 0.0002492989879101515 0.00012377058737911284 0.0001381397305522114 0.00043578073382377625 0.000620865379460156 3.5218330594943836e-05 0.0001981075620278716 0.022061536088585854 0.1127321720123291 0.8820787668228149 0.0001676022366154939
    1.2.826.0.1.3680043.8.498.89157708729946408062406218947757512429 0.0016319978749379516 0.004635003861039877 0.00645523052662611 0.007401806302368641 0.007433791644871235 0.08406189829111099 0.011035273782908916 0.12560077011585236 0.5499624013900757 0.474435418844223 0.0013067362597212195
    1.2.826.0.1.3680043.8.498.67562978761210856709835426891901361810 0.00024406643933616579 0.0020882629323750734 0.9977990984916687 0.008778607472777367 0.034074652940034866 0.038183651864528656 0.06986511498689651 0.09378424286842346 0.2795981764793396 0.5400865077972412 0.0008393788011744618
    1.2.826.0.1.3680043.8.498.57386678129903711447503093514576637855 0.0014007955323904753 0.07032079994678497 0.932013988494873 0.002769460203126073 0.02457486093044281 0.0033705923706293106 0.9531577825546265 0.0198355745524168 0.10977296531200409 0.9648887515068054 0.001170838950201869
    1.2.826.0.1.3680043.8.498.86114865447741851704159264925993508111 0.00024184984795283526 0.00014602550072595477 0.0002549967321101576 0.0005365147371776402 0.0008547918987460434 4.763061588164419e-05 0.00025140069192275405 0.006733792833983898 0.04488614946603775 0.9495868682861328 0.00012685303227044642
    1.2.826.0.1.3680043.8.498.74879409032646882759778290101769974792 0.0005886850412935019 0.0011390141444280744 0.0013830785173922777 0.0009120198083110154 0.001355580287054181 0.0006035190308466554 0.002548626158386469 0.013200799934566021 0.14189322292804718 0.8914209604263306 0.00045694559230469167
    1.2.826.0.1.3680043.8.498.36912078230022141573839701320025727199 0.0003047305508516729 0.00018494349205866456 0.00028119166381657124 0.0005849465960636735 0.0008188240462914109 5.5430526117561385e-05 0.00030825348221696913 0.01872319169342518 0.06673957407474518 0.9246603846549988 0.0001868611143436283
    1.2.826.0.1.3680043.8.498.32975842164147943585065884721531263641 0.04579002410173416 0.39432966709136963 0.2929705083370209 0.03998665139079094 0.07698987424373627 0.06722390651702881 0.17843963205814362 0.054338812828063965 0.14645284414291382 0.8675671815872192 0.0027311600279062986
    1.2.826.0.1.3680043.8.498.65844713426002817253478252273108812485 0.00021420109260361642 0.00030519458232447505 0.0003691257443279028 0.00038159952964633703 0.0005106941098347306 6.98867515893653e-05 0.0003906930796802044 0.034245461225509644 0.30504727363586426 0.7909907102584839 0.00018476236436981708
    1.2.826.0.1.3680043.8.498.66784959384669730484955367567942316598 0.0008303652284666896 0.0011062190169468522 0.0011651222594082355 0.0015221192734315991 0.0017348561668768525 0.00033856797381304204 0.0010819992749020457 0.10151346772909164 0.5996545553207397 0.3959121108055115 0.0007092362502589822
    1.2.826.0.1.3680043.8.498.13825425187863397708678788760607650314 0.00035661127185449004 0.0003475937119219452 0.00024117017164826393 0.00045488745672628284 0.0007597446674481034 9.933444380294532e-05 0.0009091724641621113 0.35559844970703125 0.31814804673194885 0.3557189404964447 0.0004529496654868126
    1.2.826.0.1.3680043.8.498.44723629369549231375193855817617528039 0.00011783118679886684 0.0001816219592001289 0.0004517737834248692 0.0004083748790435493 0.0003298675292171538 0.0005615915870293975 0.00011217190331080928 0.0037296090740710497 0.013050238601863384 0.9928932189941406 5.25816940353252e-05
    1.2.826.0.1.3680043.8.498.68766896258518936112823949869353109423 0.0002382013772148639 0.00015493099635932595 0.00014141766587272286 0.0005720503395423293 0.00043634651228785515 0.0001699039275990799 0.00019402326142881066 0.01014704816043377 0.11485682427883148 0.9074748754501343 0.00018283167446497828
    1.2.826.0.1.3680043.8.498.81491821652947193607676407415528418571 0.00019287683244328946 0.0001022956712404266 0.00011479134991532192 0.0004239067784510553 0.0002504517906345427 0.00019032435375265777 0.00011195626575499773 0.058522917330265045 0.25116807222366333 0.6222116947174072 0.00019050492846872658
    1.2.826.0.1.3680043.8.498.98004771400735920756552497211769572947 0.00023002240050118417 0.0002033784257946536 0.000339615682605654 0.0004601151158567518 0.0006026089540682733 7.051053398754448e-05 0.0004858473257627338 0.003009908366948366 0.019190479069948196 0.9863377809524536 8.169052307493985e-05
    1.2.826.0.1.3680043.8.498.82460649435878478057909138975443502812 0.00016256935487035662 0.00018642623035702854 0.0002435663773212582 0.0002996781258843839 0.0004149523447267711 0.0001528608554508537 0.00022515605087392032 0.00719859916716814 0.07263714075088501 0.957653820514679 0.00023825510288588703
    1.2.826.0.1.3680043.8.498.73672360522644921361462994791978853476 0.00046264720731414855 0.0005276766023598611 0.0005701025947928429 0.0008863942930474877 0.0011030514724552631 0.00014230735541786999 0.0010426855878904462 0.4288654327392578 0.40863022208213806 0.1894683986902237 0.0005883817793801427
    1.2.826.0.1.3680043.8.498.39694798836180180502325526770875005747 0.0004994309274479747 0.0007987231947481632 0.0005828404100611806 0.00038454707828350365 0.0007049919804558158 5.250113463262096e-05 0.00950687751173973 0.04762205109000206 0.13656003773212433 0.8858547210693359 0.0022674030624330044
    1.2.826.0.1.3680043.8.498.64980333110564123488462671610110579058 0.0003861614968627691 0.0004848112293984741 0.0006729915039613843 0.0006708915461786091 0.000734504486899823 0.00012619717745110393 0.0006634920719079673 0.11042388528585434 0.5862575769424438 0.41968387365341187 0.00039387954166159034
    1.2.826.0.1.3680043.8.498.92262230525867908683977114558051276590 0.00021113082766532898 0.00012276749475859106 0.00016843556659296155 0.00038798293098807335 0.00031423679320141673 0.0001493230229243636 7.022256613709033e-05 0.027827616780996323 0.35992178320884705 0.6451162099838257 0.00015478565183002502
    1.2.826.0.1.3680043.8.498.10801864835077396556850821250323852085 0.0004381753387860954 0.0005031421897001565 0.00041683553718030453 0.000766078126616776 0.000962493650149554 0.00043682748218998313 0.001073227496817708 0.01251879334449768 0.021061792969703674 0.9827939867973328 0.00015363827697001398
    1.2.826.0.1.3680043.8.498.36646782385635652076050038339602130216 0.00018534691480454057 0.00019240868277847767 0.0002688553649932146 0.00038508832221850753 0.00042040832340717316 0.00010264930460834876 0.00023401253565680236 0.006843882612884045 0.0243629589676857 0.9787217378616333 6.745519931428134e-05
    1.2.826.0.1.3680043.8.498.12628755444512381776808210769290314402 0.00027878099353984 0.0002819073561113328 0.0003978601598646492 0.0003472826210781932 0.00035648990888148546 0.00014234610716812313 0.000279461033642292 0.07721038907766342 0.36801329255104065 0.49668654799461365 0.0002734291774686426
    1.2.826.0.1.3680043.8.498.90269706561365896671975775796384227401 0.00041368426172994077 0.00043264831765554845 0.00045846481225453317 0.0006721357349306345 0.0009963635820895433 0.00011681736214086413 0.000828047632239759 0.020883027464151382 0.09219125658273697 0.8949152231216431 0.00022142604575492442
    1.2.826.0.1.3680043.8.498.13237075472784479220144364037668732987 0.00035749952076002955 0.0003711051249410957 0.0004951782757416368 0.0004556726198643446 0.0007095428300090134 5.4122698202263564e-05 0.001092205406166613 0.04676301032304764 0.25103792548179626 0.6906468272209167 0.00035253443638794124
    1.2.826.0.1.3680043.8.498.26211856259222764305001399765521014747 0.0003097861190326512 0.00044243139564059675 0.0006038793362677097 0.001162480446510017 0.00034274632344022393 0.0027806181460618973 6.011755976942368e-05 0.0211667288094759 0.17895327508449554 0.9208478927612305 0.0003623349475674331
    1.2.826.0.1.3680043.8.498.13094607323822118176750371409190354708 0.00018521172751206905 0.00024884898448362947 0.0002550859353505075 0.000368105829693377 0.0002611568779684603 0.000512226193677634 9.920929733198136e-05 0.030701622366905212 0.023829247802495956 0.9785623550415039 0.00010015114821726456
    1.2.826.0.1.3680043.8.498.77575350530651423827841364366581901980 0.00015446422912646085 9.119378228206187e-05 0.00011633068788796663 0.0003679736109916121 0.00017483298142906278 0.00019942878861911595 3.4215649066027254e-05 0.07701727002859116 0.34852051734924316 0.5640297532081604 0.0001917460758704692
    1.2.826.0.1.3680043.8.498.11914154023307050977856556312999473292 0.0003206253459211439 0.0004519824287854135 0.0007669670158065856 0.0006520486786030233 0.0006057902937754989 0.0003482763422653079 0.0009085434721782804 0.018661288544535637 0.05541292950510979 0.9537203907966614 0.0002024459681706503
    1.2.826.0.1.3680043.8.498.42678398267622719330660435787445641737 0.012779396958649158 0.22089913487434387 0.7020136117935181 0.03566690534353256 0.06578640639781952 0.592821478843689 0.25256115198135376 0.09794332087039948 0.30816420912742615 0.5939984917640686 0.011320212855935097
    1.2.826.0.1.3680043.8.498.51527836766882196763583948550115068759 0.00016698891704436392 0.0001860402408055961 0.00017356466560158879 0.0005402308306656778 0.00021323258988559246 0.00032535212812945247 8.183079626178369e-05 0.011844928376376629 0.0254841186106205 0.9783273935317993 0.0001183471322292462
    1.2.826.0.1.3680043.8.498.66060213913437985278164641999217192346 0.0005181444576010108 0.0008642482571303844 0.0024968436919152737 0.0017201174050569534 0.0009798690443858504 0.0026666054036468267 0.004539482295513153 0.03496859595179558 0.13659605383872986 0.9043170809745789 0.0008686844375915825
    1.2.826.0.1.3680043.8.498.38788236492499825250327295956537310881 0.0002944578882306814 0.00020765505905728787 0.00022902879572939128 0.000496193824801594 0.0005480038817040622 9.058704745257273e-05 0.00025232243933714926 0.04201176017522812 0.1985171139240265 0.8174574971199036 0.00029088466544635594
    1.2.826.0.1.3680043.8.498.79183622455578676858698915091617796992 0.0007204611320048571 0.0008282150374725461 0.00049496756400913 0.0008641636231914163 0.0014476452488452196 0.00010081766959046945 0.003606774378567934 0.20456881821155548 0.3899197578430176 0.4301101565361023 0.000859917898196727
    1.2.826.0.1.3680043.8.498.71658129207414332549526378111603735545 0.0003208487178198993 0.0001910935970954597 0.00016904520452953875 0.0005183118628337979 0.00047427540994249284 6.82590834912844e-05 0.00017238194413948804 0.057087697088718414 0.2621142566204071 0.79828941822052 0.00025843369076028466
    1.2.826.0.1.3680043.8.498.33714167383756117593445468585790537613 0.001247425563633442 0.002571884775534272 0.006790677551180124 0.004228918347507715 0.0021481348667293787 0.02212190441787243 0.002790644532069564 0.0819152221083641 0.15328435599803925 0.9165019989013672 0.8078179359436035
    1.2.826.0.1.3680043.8.498.13335821862873798694149916361428384721 0.00011706692021107301 0.000156782305566594 0.00016378637519665062 0.00021940979058854282 0.0001247346226591617 0.0003373941872268915 4.805099524674006e-05 0.011051440611481667 0.05072774738073349 0.949225902557373 8.580886060371995e-05
    1.2.826.0.1.3680043.8.498.12061628357353126093586250495536734776 0.0004666210152208805 0.0012207210529595613 0.0029397746548056602 0.003192767035216093 0.0016953361919149756 0.008674288168549538 0.00043928244849666953 0.011469678953289986 0.018851881846785545 0.9830554127693176 0.0002967320033349097
    1.2.826.0.1.3680043.8.498.87019449328609805105820053459223152543 0.0002449739840812981 0.00016820694145280868 0.0002954669762402773 0.0007368855876848102 0.0005841781385242939 0.0004861310590058565 0.00012582956696860492 0.03596678748726845 0.07616408914327621 0.931618332862854 0.00023917655926197767
    1.2.826.0.1.3680043.8.498.63356718931049444988805940316123397485 0.0002574868849478662 0.0002096743555739522 0.00018813098722603172 0.0003839504497591406 0.00036191014805808663 0.00018526788335293531 0.00011956244998145849 0.04622039198875427 0.06303899735212326 0.8948433995246887 0.00014532144996337593
    1.2.826.0.1.3680043.8.498.38783435772729697433751526191237789556 0.0004254734085407108 0.0006272894097492099 0.0010186730651184916 0.0010284545132890344 0.0020453333854675293 0.00012410350609570742 0.0031736132223159075 0.0047226655296981335 0.009097693488001823 0.9938876032829285 0.00010072896111523733
    1.2.826.0.1.3680043.8.498.92419771447831839177859509763482885100 0.00041026397957466543 0.00029653531964868307 0.0005746159004047513 0.0008675191784277558 0.001298088813200593 0.00022074859589338303 0.0005616332637146115 0.03778551518917084 0.11369059234857559 0.8706735372543335 0.0003484365879558027
    1.2.826.0.1.3680043.8.498.66525472089982373914553936265530099208 0.00037224090192466974 0.0009743567788973451 0.0008153471862897277 0.0004515941836871207 0.0009488697396591306 4.6722292609047145e-05 0.004807996563613415 0.021518638357520103 0.49056553840637207 0.6754365563392639 0.00027855572989210486
    1.2.826.0.1.3680043.8.498.12040145845938134150976976428212218744 0.0001796603755792603 0.00015516194980591536 0.00032786541851237416 0.0002981905417982489 0.0002967589534819126 6.242934614419937e-05 0.00025569245917722583 0.023429708555340767 0.09441454708576202 0.9209948778152466 0.00017118698451668024
    1.2.826.0.1.3680043.8.498.47099086304519373644783935199963361185 0.009306153282523155 0.2802322804927826 0.7020479440689087 0.0032875295728445053 0.018062608316540718 0.0008100360864773393 0.9927200078964233 0.09030088782310486 0.31737929582595825 0.7564159631729126 0.008367381058633327
    1.2.826.0.1.3680043.8.498.81962005098920651085465311360699798540 0.00031227554427459836 0.0004204444994684309 0.0007139427470974624 0.0003841934085357934 0.0006816163077019155 6.18385529378429e-05 0.000994128524325788 0.016303587704896927 0.042367205023765564 0.9627620577812195 0.00011558906408026814
    1.2.826.0.1.3680043.8.498.71141120312428057333168855431067698698 0.000676604628097266 0.0013308939523994923 0.005510115064680576 0.002211850369349122 0.0025182017125189304 0.00306271156296134 0.0011215419508516788 0.05291338637471199 0.12445733696222305 0.8299104571342468 0.00041449698619544506
    1.2.826.0.1.3680043.8.498.36350918424365824338384851018654289434 0.00017080470570363104 0.00011504782742122188 0.0002503412833902985 0.00041131553007289767 0.0003079273155890405 0.00015648726548533887 5.75150188524276e-05 0.008114971220493317 0.0257065799087286 0.9692323803901672 9.417896217200905e-05
    1.2.826.0.1.3680043.8.498.11079086227783028526403099759583864559 0.00029452049056999385 0.00024522110470570624 0.00027343706460669637 0.0007492592558264732 0.00027178527670912445 0.0010039593325927854 0.00010567210847511888 0.16534633934497833 0.22997212409973145 0.5925123691558838 0.0006162606878206134
    1.2.826.0.1.3680043.8.498.45075487009111812804478779487870520372 0.010066225193440914 0.2657221555709839 0.0031982646323740482 0.02173522487282753 0.0034548186231404543 0.9894490242004395 0.11295904219150543 0.3064667582511902 0.39931851625442505 0.003095933236181736
    1.2.826.0.1.3680043.8.498.10981929683941499728895959990297491784 0.0001511082227807492 0.00020454765763133764 0.00024159046006388962 0.000257829757174477 0.00017660786397755146 0.0005010464228689671 0.00013307228800840676 0.19203485548496246 0.7008673548698425 0.14502711594104767 0.0002280068292748183
    1.2.826.0.1.3680043.8.498.63600814954160152307914883020386937122 0.00053122901590541 0.00041367587982676923 0.0004193577915430069 0.0013940632343292236 0.0009082902106456459 0.0007716274121776223 0.0003171749704051763 0.4900692403316498 0.09704511612653732 0.4834478497505188 0.000913583324290812
    1.2.826.0.1.3680043.8.498.67702519516002895692103668068374741364 0.00012437283294275403 7.201881089713424e-05 0.00013525562826544046 0.0003635389730334282 0.0002535840612836182 0.00015210466517601162 4.710609573521651e-05 0.006694473326206207 0.06452684104442596 0.9318366050720215 0.00013330436195246875
    1.2.826.0.1.3680043.8.498.43591739979325856431349167451931610771 0.00019252888159826398 0.0002678255259525031 0.00020913779735565186 0.00020955312356818467 0.00029347994131967425 1.6794605471659452e-05 0.00267588347196579 0.0639326423406601 0.5635588765144348 0.4109869599342346 0.00020127787138335407
    1.2.826.0.1.3680043.8.498.29830839810080325065490643237042205862 9.85045699053444e-05 9.925374615704641e-05 0.00013259310799185187 0.0003253113536629826 0.00010179732635151595 0.0005404695984907448 1.6157735444721766e-05 0.009032810106873512 0.4739789068698883 0.6293315887451172 0.0001464216911699623
    1.2.826.0.1.3680043.8.498.11539834251616317794010449642105291214 0.0003115374711342156 0.00020778279576916248 0.0003695766208693385 0.0011760356137529016 0.001958169275894761 0.0006413526716642082 0.0012528335209935904 0.005956326145678759 0.04527036100625992 0.9581173062324524 0.00018076543346978724
    1.2.826.0.1.3680043.8.498.62032880727221359619458310167981832695 0.004083169158548117 0.18195514380931854 0.37246665358543396 0.0009752960759215057 0.004937164485454559 0.013527490198612213 0.984180748462677 0.12065337598323822 0.696159303188324 0.7750931978225708 0.005041725933551788
    1.2.826.0.1.3680043.8.498.11794220427078401684132417316921232633 0.0021804007701575756 0.0022990121506154537 0.0019468916580080986 0.004949586000293493 0.01285821944475174 0.0024597819428890944 0.023904871195554733 0.047927867621183395 0.17803096771240234 0.7806419134140015 0.0013636358780786395
    1.2.826.0.1.3680043.8.498.40584638344241294266086125883878520100 0.002239017281681299 0.00224890885874629 0.001417483203113079 0.003821221413090825 0.009452147409319878 0.0016585998237133026 0.015202529728412628 0.2012622058391571 0.2617968022823334 0.6379169225692749 0.0020473888143897057
    1.2.826.0.1.3680043.8.498.49201284661324522024230268024764743123 0.0001736971753416583 9.437242988497019e-05 0.00012495796545408666 0.0005426581483334303 0.00024801725521683693 0.00016528964624740183 7.177567749749869e-05 0.01277683675289154 0.05050623416900635 0.9499416351318359 0.0001392967242281884
    1.2.826.0.1.3680043.8.498.10097782859342088135375968998239682608 0.0002491403720341623 0.0002782713563647121 0.00033044355222955346 0.0004517685738392174 0.0006714370101690292 8.862164395395666e-05 0.0004026154929306358 0.02849273756146431 0.17449268698692322 0.8563178777694702 0.0002226537762908265
    1.2.826.0.1.3680043.8.498.46479741216118478705707730555168055209 0.0001759676670189947 0.0001403646165272221 0.0003261771926190704 0.0006167550454847515 0.0009093844564631581 0.00014424746041186154 0.0002809090365190059 0.007546225097030401 0.09472893923521042 0.9580806493759155 0.00012828738545067608
    1.2.826.0.1.3680043.8.498.44979771201613529746190668898654660718 0.00020924091222696006 0.00021937393466942012 0.0003082748153246939 0.000484389194753021 0.0008331557619385421 7.450192060787231e-05 0.0006761816912330687 0.003071902319788933 0.01970425434410572 0.9918856620788574 7.788114453433082e-05
    1.2.826.0.1.3680043.8.498.10152384860835456142562226603172798373 0.003924420569092035 0.09282039105892181 0.8537446856498718 0.0016046811360865831 0.013387179002165794 0.0032028823625296354 0.9874103665351868 0.1742512732744217 0.20509235560894012 0.9253431558609009 0.7365713119506836
    1.2.826.0.1.3680043.8.498.90813314146630620258611397446141410745 0.0007604790152981877 0.0006870588404126465 0.000938067096285522 0.0017084326827898622 0.0018023422453552485 0.0007865894585847855 0.0007205703295767307 0.08132980018854141 0.5945843458175659 0.3140833079814911 0.0007055940222926438
    1.2.826.0.1.3680043.8.498.19179134144564042313451758480752755988 0.00011713455751305446 0.00012781399709638208 0.00017346646927762777 0.00023763922217767686 0.00035000333446078 5.875435454072431e-05 0.0003436174592934549 0.002173312474042177 0.02402644231915474 0.98260498046875 4.839490065933205e-05
    1.2.826.0.1.3680043.8.498.45227775119422564090264715657421297340 0.00029217114206403494 0.00025086590903811157 0.00033876876113936305 0.0004834920691791922 0.0005225889035500586 0.00016155447519849986 0.00017123496218118817 0.060451410710811615 0.2702009677886963 0.6605802774429321 0.0002993236994370818
    1.2.826.0.1.3680043.8.498.10905952502180223679908034831104221965 0.0008041096152737737 0.001054526073858142 0.001979364547878504 0.0047996812500059605 0.0009239528444595635 0.020059118047356606 0.0006701218662783504 0.1246575340628624 0.16867026686668396 0.8822169303894043 0.0031565905082970858
    1.2.826.0.1.3680043.8.498.31988203476599908374464824062847523986 0.00023946324654389173 0.00014263697084970772 0.00018707702110987157 0.00037600466748699546 0.00046563343494199216 5.752599099650979e-05 0.00015376662486232817 0.04667367786169052 0.26354771852493286 0.6351801753044128 0.00019010447431355715
    1.2.826.0.1.3680043.8.498.84634584524273163627338966864941114301 0.0025583107490092516 0.06480245292186737 0.9221299290657043 0.005095222499221563 0.03743133693933487 0.025194605812430382 0.8375986814498901 0.019436251372098923 0.10431806743144989 0.8913898468017578 0.001380701083689928
    1.2.826.0.1.3680043.8.498.10592382126118899092347133391016886987 0.0005630983505398035 0.0005482298438437283 0.000606721849180758 0.0011620456352829933 0.0014252257533371449 0.00010826002107933164 0.0012378771789371967 0.18087545037269592 0.38981717824935913 0.3952767252922058 0.0005985790048725903
    1.2.826.0.1.3680043.8.498.93107820931536981023633251088919744922 0.014279717579483986 0.2836034297943115 0.7498785257339478 0.012379410676658154 0.031799837946891785 0.06247546151280403 0.839762806892395 0.16699782013893127 0.4563334882259369 0.672132670879364 0.061871983110904694
    1.2.826.0.1.3680043.8.498.48062640366803536535836888998823527818 0.00014538763207383454 0.00012667571718338877 0.0001768516085576266 0.00034522690111771226 0.000303975073620677 3.3347048884024844e-05 0.0002882300759665668 0.059598684310913086 0.20768339931964874 0.730973482131958 0.000145280544529669
    1.2.826.0.1.3680043.8.498.50211261236536732190560477007241981185 0.010182442143559456 0.18136070668697357 0.7367981672286987 0.1116010919213295 0.030737722292542458 0.26958298683166504 0.04836655408143997 0.08277437835931778 0.16695275902748108 0.1343040019273758 0.001984351547434926
    1.2.826.0.1.3680043.8.498.91916232154835692847732768280949258789 0.0003818650438915938 0.0004214498621877283 0.0007027320680208504 0.0008536342647857964 0.0011736676096916199 0.00019594666082412004 0.0007541754166595638 0.003879144787788391 0.01956036128103733 0.9866706132888794 0.00016168727597687393
    1.2.826.0.1.3680043.8.498.10235200852395651032235805819938202176 0.00024385246797464788 0.0002311637217644602 0.0002403509570285678 0.00045365645200945437 0.0006813555955886841 5.6302105804206803e-05 0.0005105669260956347 0.13161227107048035 0.6490589380264282 0.28996795415878296 0.00033039471600204706
    1.2.826.0.1.3680043.8.498.55582408564052320407048719942659331262 7.073181041050702e-05 4.134974369662814e-05 6.325352296698838e-05 0.00017598802514839917 0.00014617021952290088 5.711020276066847e-05 2.5132092559942976e-05 0.005977108143270016 0.06258078664541245 0.9280740022659302 5.191820673644543e-05
    1.2.826.0.1.3680043.8.498.14596315424692037473858131481352818393 0.00026984603027813137 0.0002122188452631235 0.00031122550717554986 0.0004991980385966599 0.0003761004190891981 0.0004864085931330919 0.0001244580780621618 0.0427388958632946 0.07784736901521683 0.9126485586166382 0.00017862259119283408
    1.2.826.0.1.3680043.8.498.14759886735770933238718269959308550389 0.014878509566187859 0.07724244892597198 0.04241599887609482 0.09359945356845856 0.029776180163025856 0.42027974128723145 0.027464058250188828 0.045505546033382416 0.16404330730438232 0.6076423525810242 0.004361002705991268
    1.2.826.0.1.3680043.8.498.52861053902020569664625094563718400710 0.0008228670922107995 0.0006517492001876235 0.0006297732470557094 0.0013969670981168747 0.0015965898055583239 0.00030853814678266644 0.0016566410195082426 0.09647838026285172 0.24096298217773438 0.8065683245658875 0.000759679009206593
    1.2.826.0.1.3680043.8.498.86480582292084684159224882766154518222 0.0005576255498453975 0.001623073243536055 0.009245119988918304 0.0052119032479822636 0.0008129585767164826 0.08541474491357803 0.0002369574795011431 0.10617822408676147 0.3238345980644226 0.6872439384460449 0.0024417671374976635
    1.2.826.0.1.3680043.8.498.55414880190473373991764464140964288936 0.00019578469800762832 0.00024210428819060326 0.0004858011961914599 0.0006374196382239461 0.00097805040422827 0.00014905475836712867 0.0008293350110761821 0.0016813172260299325 0.007627757731825113 0.9960066080093384 6.461216980824247e-05
    1.2.826.0.1.3680043.8.498.87392637394764411021304459774523314997 0.0002566328621469438 0.00032640976132825017 0.00043700970127247274 0.00042570853838697076 0.0003858285490423441 0.00028402023599483073 0.000415018352214247 0.02592400088906288 0.12275636196136475 0.8748704195022583 0.00021504765027202666
    1.2.826.0.1.3680043.8.498.10290124538217956501795611047751097912 0.0011587602784857154 0.004305098205804825 0.02510031685233116 0.005526171065866947 0.0034006659407168627 0.011837301775813103 0.0009308295557275414 0.03324241563677788 0.05049853399395943 0.9373985528945923 0.0005733426078222692
    1.2.826.0.1.3680043.8.498.27381739369586994202166364676341495199 0.00024255612515844405 0.0003930375969503075 0.0011258631711825728 0.0004682346771005541 0.0008849502773955464 8.650006930110976e-05 0.001033041626214981 0.0031911120750010014 0.015879666432738304 0.9913446307182312 7.88949619163759e-05
    1.2.826.0.1.3680043.8.498.67418687181851436197108456909247457009 0.000760505732614547 0.000540050445124507 0.000641927937977016 0.002100949641317129 0.00206315447576344 0.0006041122251190245 0.0014202091842889786 0.03658151626586914 0.11474151909351349 0.8500057458877563 0.0006430529756471515
    1.2.826.0.1.3680043.8.498.89039013586193603044836353123921101461 0.0016837315633893013 0.0015929723158478737 0.002181073883548379 0.0026758580934256315 0.003180748550221324 0.0002723948273342103 0.0032770733814686537 0.03216646611690521 0.14349892735481262 0.8340064287185669 0.0009392701322212815
    1.2.826.0.1.3680043.8.498.21878531465683641557423392164571988262 0.0007631050539202988 0.0009023278835229576 0.0008653235854580998 0.0012147643137723207 0.001635654247365892 0.00019569350115489215 0.0036027771420776844 0.4024774134159088 0.4564853310585022 0.3045280873775482 0.0009894762188196182
    1.2.826.0.1.3680043.8.498.45689628185747479898793874603868956879 0.00015115906717255712 0.00014294830907601863 0.00015789394092280418 0.00033077801344916224 0.00019057630561292171 0.000295440258923918 3.211108924006112e-05 0.0958167165517807 0.6495229005813599 0.24260035157203674 0.0001621267438167706
    1.2.826.0.1.3680043.8.498.49756187747775063995692382177998478045 0.0005157887935638428 0.0006772071355953813 0.000671651738230139 0.001147496746852994 0.0005037661758251488 0.00170796865131706 0.0002407501160632819 0.1278633326292038 0.3051616847515106 0.596635103225708 0.0011325381929054856
    1.2.826.0.1.3680043.8.498.11971572991299743630110350427560839972 0.00022629466548096389 0.0003543718485161662 0.0006849903729744256 0.0009306662832386792 0.0002701510675251484 0.001523118931800127 5.613266694126651e-05 0.01412636786699295 0.12429932504892349 0.921929657459259 0.00021071219816803932
    1.2.826.0.1.3680043.8.498.41747392623689419280859269105390609905 0.00041045923717319965 0.0010736003750935197 0.0011346929240971804 0.0004621934494934976 0.0013708167243748903 6.153110734885558e-05 0.003840378951281309 0.561651885509491 0.447101891040802 0.22499027848243713 0.000506283831782639
    1.2.826.0.1.3680043.8.498.68485875903746745912035520715488329604 0.004045584239065647 0.052579574286937714 0.9612479209899902 0.042893651872873306 0.06911451369524002 0.4683102071285248 0.2282123565673828 0.09977906942367554 0.43492192029953003 0.5024293661117554 0.003133424324914813
    1.2.826.0.1.3680043.8.498.69169981020577621192226286037661082365 0.0005549456109292805 0.002030231524258852 0.002497655339539051 0.0009048318606801331 0.0014973885845392942 0.0004116516502108425 0.017570938915014267 0.11019780486822128 0.44976186752319336 0.6094496846199036 0.0008110737544484437
    1.2.826.0.1.3680043.8.498.19304040600733621223365184476087399605 0.002581662032753229 0.006840452551841736 0.007267230190336704 0.003660698188468814 0.018806573003530502 0.01287776231765747 0.7049740552902222 0.0951700285077095 0.46244797110557556 0.7675268650054932 0.0019275903468951583
    1.2.826.0.1.3680043.8.498.54016400162120653071362871952911883265 0.0005961131537333131 0.0010099065257236362 0.0016430832911282778 0.0009281410602852702 0.0024537809658795595 0.00029540053219534457 0.0043884082697331905 0.10917945951223373 0.1783197820186615 0.6682405471801758 0.0005474740755744278
    1.2.826.0.1.3680043.8.498.65527966462470053855223884401112611219 0.0002183452743338421 0.00024291747831739485 0.0006189405685290694 0.0005141206784173846 0.00020882594981230795 0.0007149130688048899 5.980920832371339e-05 0.05924706906080246 0.038984499871730804 0.9204449653625488 0.0001481897197663784
    1.2.826.0.1.3680043.8.498.94704512618649834249732510818058293100 0.0010749452048912644 0.0017999755218625069 0.0022742697037756443 0.004960846155881882 0.0064053661189973354 0.011280548758804798 0.0067122564651072025 0.08395881950855255 0.47007304430007935 0.600213348865509 0.0011194393737241626
    1.2.826.0.1.3680043.8.498.10874929162552618176056275201545218604 0.00032049379660747945 0.0002689184620976448 0.0004990026936866343 0.0007101875962689519 0.0005338955670595169 0.0004059382772538811 0.00021947275672573596 0.029601460322737694 0.020201707258820534 0.9713941812515259 0.0002372951275901869
    1.2.826.0.1.3680043.8.498.85797433274299209743017380773884119645 0.00018160983745474368 0.00022913221619091928 0.0002864067500922829 0.0002962351427413523 0.00025320163695141673 0.0002528284094296396 0.00011725638614734635 0.06929107010364532 0.053165215998888016 0.9010502099990845 0.00014212347741704434
    1.2.826.0.1.3680043.8.498.10059680509956627842604557816804836191 0.0003175619931425899 0.0005982076982036233 0.0005859590019099414 0.0003111590340267867 0.0006877669366076589 6.232883606571704e-05 0.0018477411940693855 0.0896778255701065 0.4113803803920746 0.675555944442749 0.0004476808535400778
    1.2.826.0.1.3680043.8.498.12884121342692300834828243074820486650 0.0005951007478870451 0.0009982559131458402 0.0020550345070660114 0.002499345224350691 0.0036930222995579243 0.0011840552324429154 0.003255056217312813 0.011160830035805702 0.0612315759062767 0.9670594930648804 0.00032814027508720756
    1.2.826.0.1.3680043.8.498.86016888437927567126098302305137967739 0.001403776928782463 0.0020235106348991394 0.003280995413661003 0.0038781084585934877 0.0026117328088730574 0.006448456086218357 0.0024010809138417244 0.08024244010448456 0.19816012680530548 0.8099236488342285 0.0011149501660838723
    1.2.826.0.1.3680043.8.498.91755528410824911347700383621713337833 0.000275687052635476 0.0002700656186789274 0.0002507406461518258 0.0003612741711549461 0.0004771509557031095 6.0079084505559877e-05 0.0011745046358555555 0.008732670918107033 0.09492682665586472 0.9062368273735046 0.00017674596165306866
    1.2.826.0.1.3680043.8.498.71242117640089220900395587875538419471 0.0004768728686030954 0.0006063978653401136 0.0004122253449168056 0.0008259523892775178 0.0012161640916019678 8.9017536083702e-05 0.0016897466266527772 0.7488616108894348 0.14949551224708557 0.17665567994117737 0.0006718215881846845
    1.2.826.0.1.3680043.8.498.56633732850759218760697087155949486514 0.0002032262273132801 0.0001575084461364895 0.00025947424001060426 0.00032882639789022505 0.0007232371717691422 4.4633226934820414e-05 0.0003548712993506342 0.0055367788299918175 0.03789844363927841 0.9759763479232788 9.583424252923578e-05
    1.2.826.0.1.3680043.8.498.48674047676074690206287301144691721550 0.00025516466121189296 0.00019179662922397256 0.00027393019990995526 0.00039523685700260103 0.0005775850731879473 5.291027991916053e-05 0.00032222949084825814 0.009121714159846306 0.07764361798763275 0.9190271496772766 0.00013839619350619614
    1.2.826.0.1.3680043.8.498.68445662689640627979746094917338854301 0.00038731913082301617 0.0005954582011327147 0.0008651064708828926 0.0005709824035875499 0.0007895633461885154 0.0003188088012393564 0.0010197969386354089 0.0501781702041626 0.6656659245491028 0.3937438428401947 0.00040079731843434274
    1.2.826.0.1.3680043.8.498.66697709138430890244466198899765858443 0.0002064670843537897 0.00022223012638278306 0.0003634742752183229 0.00029422849183902144 0.0003987515810877085 7.428128446917981e-05 0.0006149573600850999 0.01697557047009468 0.11209455877542496 0.8741855621337891 0.00016105470422189683
    1.2.826.0.1.3680043.8.498.29190663882131681450668177466894489141 0.0003763865097425878 0.0003572633722797036 0.00038656446849927306 0.0006182385259307921 0.0010068896226584911 0.0002144638419849798 0.0003094335552304983 0.017870549112558365 0.41071876883506775 0.667156457901001 0.0003117044980172068
    1.2.826.0.1.3680043.8.498.24097204966417869796015542135155828532 0.0002049664471996948 0.00021323832334019244 0.0001298922288697213 0.00032057808130048215 0.000228179240366444 0.00029278776491992176 0.00015663960948586464 0.03265142813324928 0.5803107619285583 0.46262216567993164 0.00020678833243437111
    1.2.826.0.1.3680043.8.498.92836964806112167540506013603703654062 0.00011176550469826907 9.252024028683081e-05 0.0002252242702525109 0.0004341146850492805 0.0001492912560934201 0.0003987090603914112 2.75296679319581e-05 0.019027413800358772 0.03061091899871826 0.9653360247612 0.00013769109500572085
    1.2.826.0.1.3680043.8.498.38013447472368931729898864180173681459 0.000187464858754538 0.00011583869491005316 0.00013381608005147427 0.0003144189831800759 0.00037652437458746135 5.71101663808804e-05 9.407690959051251e-05 0.03149434179067612 0.2557068467140198 0.7441797852516174 0.00018205880769528449
    1.2.826.0.1.3680043.8.498.99468020218588740955580646277870932992 0.0002962952421512455 0.0002454693312756717 0.0003232915769331157 0.000708296662196517 0.0002826626878231764 0.0007622494595125318 9.800169209484011e-05 0.04748735949397087 0.06177321821451187 0.8928337097167969 0.0002718425530474633
    1.2.826.0.1.3680043.8.498.70135950457486350884336410653790528032 0.00022362223535310477 0.0001891964056994766 0.0001775634882505983 0.0003773663775064051 0.0007088062702678144 2.698755997698754e-05 0.00046498910523951054 0.010929872281849384 0.16112467646598816 0.8581636548042297 0.00015182039351202548
    1.2.826.0.1.3680043.8.498.75017808649531874785167067976922079975 0.000976535608060658 0.0014339726185426116 0.001955631887540221 0.0029733763076364994 0.0022851047106087208 0.002035935875028372 0.0013869323302060366 0.03093346394598484 0.27117449045181274 0.7890896201133728 0.0008455437491647899
    1.2.826.0.1.3680043.8.498.40669173833416753395919507116027621593 0.0005068513564765453 0.009599178098142147 0.9890799522399902 0.018320899456739426 0.024478094652295113 0.16872109472751617 0.021617304533720016 0.02281598374247551 0.06055133417248726 0.9735417366027832 0.00030838651582598686
    1.2.826.0.1.3680043.8.498.37230901148306617195750542865383419784 0.014988464303314686 0.12335066497325897 0.6506255269050598 0.06817454844713211 0.16782152652740479 0.11984789371490479 0.5580419301986694 0.09244010597467422 0.26113247871398926 0.5888562202453613 0.0074172974564135075
    1.2.826.0.1.3680043.8.498.82461317985232015200716795800873205427 0.00021230007405392826 0.00014553441724274307 0.0001911270373966545 0.000387552659958601 0.0005984528106637299 9.457695705350488e-05 0.0001985457492992282 0.0062592304311692715 0.19854044914245605 0.8528788685798645 0.00015331109170801938
    1.2.826.0.1.3680043.8.498.11536346109478662173284947798772260166 0.00028534693410620093 0.00021914295211900026 0.00017908212612383068 0.0003634600143413991 0.00036889180773869157 0.0001928726414917037 0.00018752861069515347 0.06755416095256805 0.33157116174697876 0.6724685430526733 0.0002690301917027682
    1.2.826.0.1.3680043.8.498.73024177518049697985041372972229257932 0.0062187411822378635 0.01626528799533844 0.007472636643797159 0.019505087286233902 0.06411189585924149 0.07277749478816986 0.8797523379325867 0.42963284254074097 0.3161390423774719 0.3082508444786072 0.0052517978474497795
    1.2.826.0.1.3680043.8.498.92274774158851236013199647024750183919 0.019288886338472366 0.2656756341457367 0.6139355897903442 0.01882629469037056 0.07100021839141846 0.03827166184782982 0.5806518793106079 0.3432951867580414 0.2790343463420868 0.4675261378288269 0.006095774471759796
    1.2.826.0.1.3680043.8.498.43279715639077962378611152316492105959 0.00021525118791032583 0.0001385390933137387 0.00015203937073238194 0.0003491107781883329 0.000397136143874377 7.17191505827941e-05 0.00014412438031286 0.02275688387453556 0.41861429810523987 0.6029618978500366 0.0001844909565988928
    1.2.826.0.1.3680043.8.498.30443473102436571768137430424590637371 0.021029110997915268 0.1417996883392334 0.5423296093940735 0.11439533531665802 0.07108722627162933 0.5064784288406372 0.09419181942939758 0.048483628779649734 0.28926247358322144 0.910774827003479 0.015336287207901478
    1.2.826.0.1.3680043.8.498.58382883188534351978116509662771721122 0.00019719374540727586 0.00014300734619610012 0.0002625351189635694 0.000339968828484416 0.0004955019103363156 7.482687942683697e-05 0.00037619483191519976 0.013826382346451283 0.15485186874866486 0.8692181706428528 0.00015327382425311953
    1.2.826.0.1.3680043.8.498.13799885931906448541821299044560821997 0.00019977279589511454 0.00012576524750329554 0.00017353643488604575 0.00041878450429067016 0.0005211912794038653 4.5955177483847365e-05 0.0002556104154791683 0.00702392403036356 0.059148065745830536 0.9516246914863586 0.00012241219519637525
    1.2.826.0.1.3680043.8.498.68869983843632086522485316035339590718 0.000532331527210772 0.0005895990179851651 0.000621474115177989 0.0009650957654230297 0.0014366578543558717 0.0004313187091611326 0.0014095205115154386 0.772966742515564 0.1671161651611328 0.18180212378501892 0.001156295882537961
    1.2.826.0.1.3680043.8.498.57667539100333445139039424538330526994 0.0002840355155058205 0.00020086376753170043 0.00026028635329566896 0.0008000651141628623 0.00041617508395574987 0.0006746695144101977 0.00012363167479634285 0.22457781434059143 0.213963121175766 0.7603006362915039 0.0007968030986376107
    1.2.826.0.1.3680043.8.498.71270437954317312471181585798440416937 0.000982202822342515 0.000803994364105165 0.0012945322087034583 0.006257384084165096 0.005360813811421394 0.029997259378433228 0.0038194661028683186 0.031512536108493805 0.0533892922103405 0.9359962344169617 0.00094527070177719
    1.2.826.0.1.3680043.8.498.11887811716497065898346955187914743269 0.0003217652265448123 0.0003182389191351831 0.000802249473053962 0.0011902821715921164 0.0006804001168347895 0.0007678365218453109 0.00030418630922213197 0.4426650404930115 0.0911232978105545 0.544012725353241 0.00031030928948894143
    1.2.826.0.1.3680043.8.498.81198964903152850620505065087088725339 0.0002924730069935322 0.0006008273921906948 0.0005677120061591268 0.00038057699566707015 0.0006326996954157948 0.00010096938058268279 0.0025063329376280308 0.013737699016928673 0.09537974745035172 0.9725362062454224 0.0001940511428983882
    1.2.826.0.1.3680043.8.498.34259599572924340141610610670848096613 0.00033964167232625186 0.00025063223438337445 0.00033845342113636434 0.0005711625562980771 0.0007249942282214761 0.00016924594820011407 0.0005015161586925387 0.1566842496395111 0.5894001126289368 0.3104479908943176 0.0004470539279282093
    1.2.826.0.1.3680043.8.498.10523990191028849676803568017951928782 0.0004778172879014164 0.0003549086977727711 0.0005933226784691215 0.0015420190757140517 0.0013494020095095038 0.00142006971873343 0.00045230690739117563 0.029663879424333572 0.13152055442333221 0.854443371295929 0.0007051032735034823
    1.2.826.0.1.3680043.8.498.17199948436961527563887686989888960924 0.000227948505198583 0.00022762222215533257 0.00019819778390228748 0.00030147077632136643 0.00024784443667158484 0.00040743491263128817 0.00015141445328481495 0.09731628745794296 0.5228606462478638 0.4387362599372864 0.0002537102554924786
    1.2.826.0.1.3680043.8.498.12398192959793597170047604100429876456 0.0009928859071806073 0.002223873045295477 0.0026568626053631306 0.0016193233896046877 0.002300993772223592 0.0007751542725600302 0.003318138886243105 0.2784299850463867 0.39507824182510376 0.46885165572166443 0.000977580202743411
    1.2.826.0.1.3680043.8.498.68777981078644683740795284952863130437 0.0002534993109293282 0.0002352040319237858 0.0002766450052149594 0.0004816705477423966 0.0005359423812478781 0.00010422793275211006 0.0008291848935186863 0.04338783025741577 0.289861261844635 0.7771722078323364 0.0002488137688487768
    1.2.826.0.1.3680043.8.498.10334561458580840050364057233714455785 0.0010337805142626166 0.002029111608862877 0.005518605932593346 0.0020185615867376328 0.0024756069760769606 0.03141274303197861 0.011121397837996483 0.06026244908571243 0.12468379735946655 0.9424049258232117 0.9601051211357117
    1.2.826.0.1.3680043.8.498.63514602649150992304833470069519698811 0.0002512554929126054 0.00017836484767030925 0.0002022331755142659 0.0006581206107512116 0.0005626906640827656 0.0003564335638657212 0.00012836842506658286 0.03881401941180229 0.3537190556526184 0.7108215689659119 0.00032958167139440775
    1.2.826.0.1.3680043.8.498.12064386561936976739655625825321061844 0.0002766968391370028 0.0001694935781415552 0.0002278029714943841 0.0006132583366706967 0.0008519347757101059 7.636628288310021e-05 0.0003028258797712624 0.005415251478552818 0.03710857033729553 0.9657499194145203 0.00012891623191535473
    1.2.826.0.1.3680043.8.498.94034872540005842378594902669259701955 0.0016661245608702302 0.010739529505372047 0.012435628101229668 0.0031309924088418484 0.003348410129547119 0.0004223653522785753 0.022638989612460136 0.27894729375839233 0.7193698883056641 0.24380943179130554 0.0009116327273659408
    1.2.826.0.1.3680043.8.498.75782911037741177136181484396565198432 0.000464524986455217 0.0007812006515450776 0.0009988837409764528 0.0009506068890914321 0.001702855690382421 0.00012779716053046286 0.0016984157264232635 0.18156373500823975 0.4583330750465393 0.4617222845554352 0.00045040977420285344
    1.2.826.0.1.3680043.8.498.37771626447521571167236279917452452114 0.00014391299919225276 0.00018250806897412986 0.00023073333431966603 0.0005906802834942937 0.0001742382737575099 0.0008247505757026374 4.564543269225396e-05 0.009140508249402046 0.032316792756319046 0.9794555902481079 0.0001328503858530894
    1.2.826.0.1.3680043.8.498.41544758593307474175304782239742411344 0.00042420485988259315 0.00047720345901325345 0.0005082626012153924 0.0007191168260760605 0.0012033479288220406 0.00011044692655559629 0.0012202383950352669 0.005868334323167801 0.08733607083559036 0.9211267232894897 0.00019588519353419542
    1.2.826.0.1.3680043.8.498.83724263567580871080267527300987210037 0.00021773073240183294 0.00015143844939302653 0.0003622318909037858 0.0004396189469844103 0.00036134032416157424 0.00026797555619850755 0.00014806391845922917 0.01724577322602272 0.07038592547178268 0.9221675992012024 0.0001762580213835463
    1.2.826.0.1.3680043.8.498.27249324237047111131485013878736466352 0.00032278630533255637 0.0002707015082705766 0.00035829871194437146 0.00048466562293469906 0.00040593199082650244 0.00043434929102659225 0.00012926153431180865 0.041081540286540985 0.06747013330459595 0.9103606939315796 0.00021471190848387778
    1.2.826.0.1.3680043.8.498.10700366807238163980021692775473182474 0.023072807118296623 0.10289511829614639 0.046030640602111816 0.048125676810741425 0.1582166850566864 0.10502882301807404 0.4829982817173004 0.0347256138920784 0.18229463696479797 0.8238714933395386 0.0044907694682478905
    1.2.826.0.1.3680043.8.498.11367146423229344908874648792442401901 0.00024122861213982105 0.00031357273110188544 0.0005370258586481214 0.00047591683687642217 0.0007409995305351913 9.573988063493744e-05 0.0007428701501339674 0.0031883784104138613 0.013293413445353508 0.9907132387161255 6.841296271886677e-05
    1.2.826.0.1.3680043.8.498.94964778613885860222931773540146205777 0.0001940233341883868 0.00025339119019918144 0.0002819178916979581 0.00026826365501619875 0.00041436980245634913 2.9462427846738137e-05 0.0007286466425284743 0.06490040570497513 0.4607122540473938 0.45160236954689026 0.00018783516134135425
    1.2.826.0.1.3680043.8.498.12823125912081616649687502011171347458 0.00017391450819559395 0.00012033867096761242 0.00022670785256195813 0.00036064066807739437 0.00020536690135486424 0.0003460439038462937 6.363623833749443e-05 0.04603233188390732 0.17779482901096344 0.7249858379364014 0.0001954379549715668
    1.2.826.0.1.3680043.8.498.64857945984640260623662240180464779504 0.00024732606834731996 0.0002122295118169859 0.0004525081312749535 0.0012596446322277188 0.0005726569215767086 0.0013538030907511711 0.00013607239816337824 0.053140439093112946 0.2260150909423828 0.7103459239006042 0.00024336148635484278
    1.2.826.0.1.3680043.8.498.37902823306886367314430968322858581239 0.00023496747598983347 0.00020418677013367414 0.0002562718582339585 0.00039512082003057003 0.000297522492473945 0.00028012748225592077 9.608820982975885e-05 0.014512290246784687 0.10188096761703491 0.8677104115486145 0.00016879594477359205
    1.2.826.0.1.3680043.8.498.10965112191895617705772867931566381376 0.0003625404497142881 0.0003301204997114837 0.0011055044597014785 0.000491103099193424 0.0005554855451919138 0.00017320895858574659 0.0002740881172940135 0.11441326141357422 0.3680099844932556 0.4565306603908539 0.0002538300468586385
    1.2.826.0.1.3680043.8.498.79021831960638912390570001819798024967 0.0006183203659020364 0.0004892744473181665 0.0005982181173749268 0.0006417186232283711 0.0010504851816222072 8.148121560225263e-05 0.0007654623477719724 0.08382753282785416 0.2347903996706009 0.6645829677581787 0.00044871828868053854
    1.2.826.0.1.3680043.8.498.22561383384760871431192459429382874080 0.0005069716717116535 0.0004967715358361602 0.000625163724180311 0.002114516217261553 0.0008058977546170354 0.0014532312052324414 0.0003543211205396801 0.07372355461120605 0.04907426983118057 0.9091498255729675 0.00041700704605318606
    1.2.826.0.1.3680043.8.498.10677464974138024136542434515690611846 0.00036238867323845625 0.00027518937713466585 0.0002711904817260802 0.0006190633866935968 0.000749375089071691 8.000990783330053e-05 0.00037179290666244924 0.0941174179315567 0.3832431733608246 0.5656421780586243 0.0002869842282962054
    1.2.826.0.1.3680043.8.498.53187330532968389747698235045816913851 0.000636917247902602 0.0006165915983729064 0.0006215117755346 0.0012134457938373089 0.0007964216056279838 0.0018578993622213602 0.00034058321034535766 0.06918196380138397 0.24711504578590393 0.7377626299858093 0.0005027712322771549
    1.2.826.0.1.3680043.8.498.51537489893030663655077083701357723311 0.0001439616025891155 0.00015983406046871096 0.0002543482114560902 0.0002941661514341831 0.00047083813115023077 3.194048622390255e-05 0.0004978870274499059 0.002262427005916834 0.015357891097664833 0.9924642443656921 5.493108255905099e-05
    1.2.826.0.1.3680043.8.498.94755438308633134100024237834674268081 8.929004252422601e-05 7.386189827229828e-05 8.011780300876126e-05 0.0002849930024240166 9.479008440393955e-05 0.0002072346833301708 3.086065044044517e-05 0.00851247925311327 0.0726357251405716 0.9606434106826782 9.46928994380869e-05
    1.2.826.0.1.3680043.8.498.80796133836353869989522988597706542856 7.860854384489357e-05 6.670893344562501e-05 6.457134441006929e-05 0.00018693407764658332 0.0001483612577430904 3.269361695856787e-05 6.48664208711125e-05 0.0045890361070632935 0.3322366774082184 0.8497778177261353 8.180942677427083e-05
    1.2.826.0.1.3680043.8.498.11134446287666154932336998794235558230 0.00026226340560242534 0.0003349822945892811 0.0008601172594353557 0.0009092806139960885 0.0003702202229760587 0.002228502882644534 0.00011715133587131277 0.1535135805606842 0.4484662413597107 0.4723924994468689 0.0009474580874666572
    1.2.826.0.1.3680043.8.498.85298121769208730029988020809445121616 0.002688302192837 0.026624832302331924 0.8772884607315063 0.014779001474380493 0.045595742762088776 0.19807367026805878 0.7269688248634338 0.11280711740255356 0.3231535851955414 0.16874724626541138 0.0009932129178196192
    1.2.826.0.1.3680043.8.498.61849463172831672777682590894318019496 0.00014557692338712513 8.269710087915882e-05 0.00012287597928661853 0.0002748358529061079 0.00027051096549257636 8.665463246870786e-05 0.0001290398940909654 0.02026398852467537 0.219681978225708 0.7537208199501038 0.00013453883002512157
    1.2.826.0.1.3680043.8.498.16322639523738850829929485698895238696 0.0005313504952937365 0.0008806249243207276 0.0008396710036322474 0.0009946620557457209 0.0016416942235082388 0.00030158780282363296 0.002816801890730858 0.021860390901565552 0.1665494292974472 0.8475661277770996 0.00041874288581311703
    1.2.826.0.1.3680043.8.498.62263585633440037667402178930826496792 0.000296706915833056 0.0004213967768009752 0.0011197587009519339 0.0009057383867911994 0.0005366058321669698 0.0018773917108774185 0.00013972478336654603 0.03698102384805679 0.04202233999967575 0.9313017129898071 0.00027581435278989375
    1.2.826.0.1.3680043.8.498.21415373864903088329382359527715497310 0.00017208507051691413 0.0001445492816856131 0.00014198619464877993 0.0005823904066346586 0.00010562016541371122 0.0005017039366066456 1.495304150012089e-05 0.02781064808368683 0.36332741379737854 0.6773284077644348 0.00019709815387614071
    1.2.826.0.1.3680043.8.498.96152624304480382446486325120398040958 7.360766176134348e-05 0.00013800390297546983 0.0001722373126540333 0.00010679478145902976 0.000181837152922526 5.8560099205351435e-06 0.0011945939622819424 0.004153842572122812 0.06381577253341675 0.9741504788398743 4.449443440535106e-05
    1.2.826.0.1.3680043.8.498.12533934432835014366166619125239850127 0.0006302575347945094 0.000567582028452307 0.001086996286176145 0.0017870829906314611 0.0019117482006549835 0.00030726619297638535 0.0012447616318240762 0.01821013353765011 0.04152469336986542 0.9571762084960938 0.0003517475270200521
    1.2.826.0.1.3680043.8.498.99930578228271951378273901192112541986 0.0001755920675350353 0.00015427092148456722 0.000192236591828987 0.0002879561798181385 0.00037432421231642365 2.603372195153497e-05 0.00029098615050315857 0.02702275477349758 0.15193405747413635 0.7830995321273804 0.00010386154463049024
    1.2.826.0.1.3680043.8.498.12443657251520398419442362139352464860 0.0001899774360936135 0.00011873359471792355 0.0003387566830497235 0.00043253801413811743 0.0006081207538954914 5.161484659765847e-05 0.00026032718596979976 0.011264070868492126 0.10202141106128693 0.8424180150032043 0.00011299866309855133
    1.2.826.0.1.3680043.8.498.10266525473026834137520875564696810518 0.009430242702364922 0.11632184684276581 0.7880854606628418 0.10088032484054565 0.06866765767335892 0.569097638130188 0.18197669088840485 0.07844723761081696 0.20864728093147278 0.7964097857475281 0.005416530650109053
    1.2.826.0.1.3680043.8.498.35449048052448930151307615135127881469 0.004571269266307354 0.022080808877944946 0.251318097114563 0.024508049711585045 0.1038440689444542 0.05786484479904175 0.5018753409385681 0.027279073372483253 0.05422769859433174 0.9030902981758118 0.0013917807955294847
    1.2.826.0.1.3680043.8.498.12729871564473665168518725512980213887 5.4378895583795384e-05 0.0002645004424266517 0.00038114478229545057 3.326594742247835e-05 0.00013282423606142402 7.352394277404528e-06 0.03184368833899498 0.0046674469485878944 0.03853382170200348 0.9882899522781372 2.95485915557947e-05
    1.2.826.0.1.3680043.8.498.82418921169448240048402925735831911328 0.0003036953567061573 0.0003378639812581241 0.00028733545332215726 0.0004193287459202111 0.0006446243496611714 5.769824929302558e-05 0.000850396987516433 0.013090798631310463 0.08854959905147552 0.89619380235672 0.00014391689910553396
    1.2.826.0.1.3680043.8.498.50170406978964060964882791811926462662 0.00016144283290486783 0.0001047648984240368 0.0001396718726027757 0.00042905681766569614 0.00041444256203249097 0.00010664857836673036 9.201152715831995e-05 0.0230618454515934 0.35136517882347107 0.7113627195358276 0.0001290059881284833
    1.2.826.0.1.3680043.8.498.13329880613749281492109716122621536318 0.00043660090886987746 0.0004884093650616705 0.0005834727780893445 0.0008068395545706153 0.0010301603469997644 0.0003433872479945421 0.0004149697779212147 0.03237958252429962 0.2135656625032425 0.7340652346611023 0.00022831356909591705
    1.2.826.0.1.3680043.8.498.19941356660287965887080709994743743498 0.00019564226386137307 0.0005407945136539638 0.0015360018005594611 0.0010064122034236789 0.0003209926071576774 0.004241554997861385 0.00012083415640518069 0.007746363990008831 0.05028960108757019 0.9726318120956421 0.0004482546937651932
    1.2.826.0.1.3680043.8.498.52632538606985941020917757524569391724 0.00030061189318075776 0.00027746151317842305 0.0001995327911572531 0.0005272441194392741 0.0005523624131456017 0.00012956882710568607 0.00038903599488548934 0.014650036580860615 0.028887372463941574 0.9688712954521179 0.00014155430835671723
    1.2.826.0.1.3680043.8.498.45610793258616251419043919889191641698 0.00030327850254252553 0.00023788381076883525 0.00032625370658934116 0.001026966143399477 0.0003365782031323761 0.0005302442004904151 0.00010456754534970969 0.039650484919548035 0.037789903581142426 0.9632209539413452 0.00022778159473091364
    1.2.826.0.1.3680043.8.498.59200790833516060543229669980812031430 0.00034335433156229556 0.00037988374242559075 0.00045466897427104414 0.0006512523395940661 0.0008283898350782692 0.0002478603273630142 0.0009356652153655887 0.04156031087040901 0.39123624563217163 0.6706318855285645 0.00039957184344530106
    1.2.826.0.1.3680043.8.498.60397441478963163764695862164771368953 0.00086587033001706 0.008338567800819874 0.9711940884590149 0.014720904640853405 0.015554902143776417 0.005388599820435047 0.11564938724040985 0.10513442754745483 0.5466427803039551 0.1655101478099823 0.0004281818401068449
    1.2.826.0.1.3680043.8.498.10230017099110358398943243975005078037 0.0023966615553945303 0.04056456312537193 0.8571845889091492 0.005801095627248287 0.04738786816596985 0.06546112149953842 0.8661994934082031 0.029497981071472168 0.20551738142967224 0.8906172513961792 0.0010964745888486505
    1.2.826.0.1.3680043.8.498.30610660768472721396034345736875883844 0.0005626128404401243 0.0010746170300990343 0.0010400249157100916 0.0008824702235870063 0.001633606618270278 0.00010423439380247146 0.0030804479029029608 0.1764504611492157 0.5382896661758423 0.33292731642723083 0.0009265664848499
    1.2.826.0.1.3680043.8.498.86351623285132614767436842259796428107 0.0021385052241384983 0.0032295435667037964 0.005086212418973446 0.008097258396446705 0.03024696186184883 0.012079758569598198 0.2449699193239212 0.022692346945405006 0.04693878814578056 0.9555574655532837 0.0009455530671402812
    1.2.826.0.1.3680043.8.498.23731483020888054301139636714378690733 0.00019796162087004632 0.00026731990510597825 0.0002598496212158352 0.00020721633336506784 0.00022755414829589427 5.2227180276531726e-05 0.002117687137797475 0.03773532435297966 0.14544735848903656 0.9183570146560669 0.00011473548511276022
    1.2.826.0.1.3680043.8.498.10964922279592052605794177531648312382 0.0001680033456068486 0.0002453023917041719 0.0002455929643474519 0.00019120362412650138 0.00032945460407063365 4.1926799895009026e-05 0.0004992432659491897 0.01881570741534233 0.2467147409915924 0.7211288213729858 0.00014262764307204634
    1.2.826.0.1.3680043.8.498.10535689543354963859107180366812631259 0.00040552206337451935 0.0004392269183881581 0.0005458202213048935 0.0006156526505947113 0.0009644303354434669 8.332060679094866e-05 0.00047016693861223757 0.058393239974975586 0.10299883037805557 0.8783364295959473 0.00023216972476802766
    1.2.826.0.1.3680043.8.498.10741782493995247154180489614761418472 0.0020232435781508684 0.04166251793503761 0.023483630269765854 0.0005446092691272497 0.005517412908375263 0.0001831909903557971 0.9950329065322876 0.07879099994897842 0.7272078394889832 0.4343052804470062 0.0008106195600703359
    1.2.826.0.1.3680043.8.498.48234268174231757744931046542026460207 0.007217512931674719 0.0330318808555603 0.015936098992824554 0.027985816821455956 0.037094444036483765 0.639177680015564 0.22076193988323212 0.03208497539162636 0.3246151804924011 0.8990896940231323 0.0028652423061430454
    1.2.826.0.1.3680043.8.498.12849204238878537905458914901035909826 0.00048535611131228507 0.0008597983978688717 0.000852392811793834 0.0008368695853278041 0.0009500662563368678 0.00043217200436629355 0.0006851454963907599 0.07768627256155014 0.6361280083656311 0.4667745530605316 0.0005060808034613729
    1.2.826.0.1.3680043.8.498.13065589083180231016540010288551770259 0.00018250514403916895 0.00021626793022733182 0.000435498368460685 0.0003435242688283324 0.0004490143619477749 0.00010421072511235252 0.0007509383140131831 0.005472471006214619 0.015359076671302319 0.9856774210929871 6.09201451879926e-05
    1.2.826.0.1.3680043.8.498.10733433228984910645026801831936892981 0.00041629705810919404 0.0002758667978923768 0.0003334714856464416 0.0008934203651733696 0.0005233411793597043 0.0006080762250348926 0.0001088574281311594 0.047075461596250534 0.16079087555408478 0.7916098237037659 0.0003401909489184618
    1.2.826.0.1.3680043.8.498.11287822994635795034381681538323220420 0.0017325591761618853 0.038164086639881134 0.9070790410041809 0.007911804132163525 0.05008159950375557 0.016938863322138786 0.8998355865478516 0.03704012557864189 0.1272854506969452 0.37766188383102417 0.00033625710057094693
    1.2.826.0.1.3680043.8.498.25980192343026543667441238618902969614 0.00042398349614813924 0.0005877975490875542 0.0007422285852953792 0.0007094181491993368 0.0010198747040703893 9.598625911166891e-05 0.0012436452088877559 0.09624941647052765 0.35025686025619507 0.6560990214347839 0.000444337900262326
    1.2.826.0.1.3680043.8.498.10797421784761894954604755471944145038 0.00033989851363003254 0.00026456150226294994 0.0005116001702845097 0.0007551972521468997 0.0010387939400970936 0.00013102097727824003 0.000301525229588151 0.08639780431985855 0.206518292427063 0.7161989212036133 0.0002656205033417791
    1.2.826.0.1.3680043.8.498.11419848475936414458429306631798567856 0.0002740302006714046 0.0002844981208909303 0.0005841082893311977 0.0007823019404895604 0.0005969043704681098 0.0005780706414952874 0.00025434777489863336 0.015108915977180004 0.03572484105825424 0.970490574836731 0.00017344120715279132
    1.2.826.0.1.3680043.8.498.58496943338031128596787339696272088731 0.00024521833984181285 0.00020217234850861132 0.00044118519872426987 0.0005034267087467015 0.0005439679371193051 0.0002788668207358569 0.0001987691066460684 0.03584815934300423 0.02351066842675209 0.935036838054657 0.00010737462434917688
    1.2.826.0.1.3680043.8.498.99011025856912641354478870629000152450 0.0008630012162029743 0.0013859750470146537 0.0010244367877021432 0.0009313179180026054 0.0022358440328389406 0.0003294057969469577 0.008359481580555439 0.12306256592273712 0.31485044956207275 0.6459312438964844 0.0014408457791432738
    1.2.826.0.1.3680043.8.498.52858793626078825045153849882170423812 0.00015290841110982 9.279469668399543e-05 0.00010853118874365464 0.0005389483412727714 0.00016871796105988324 0.00023599251289851964 3.2513773476239294e-05 0.057524174451828 0.11592187732458115 0.8454329371452332 0.0001923915697261691
    1.2.826.0.1.3680043.8.498.83294421017205469345583319511933143166 0.0027884854935109615 0.15153153240680695 0.7667173743247986 0.001604190794751048 0.006275051273405552 0.0014544916339218616 0.9864266514778137 0.04852037876844406 0.2774052917957306 0.5938524007797241 0.0008603102760389447
    1.2.826.0.1.3680043.8.498.13138723914763668558202720343338568978 0.0001948480203282088 0.00013836550351697952 0.00012210973363835365 0.0002594504621811211 0.0002860279055312276 6.810242484789342e-05 0.00017147835751529783 0.1342092752456665 0.20681175589561462 0.6986984014511108 0.00015963081386871636
    1.2.826.0.1.3680043.8.498.39453387392539060306400693559269337622 0.00015041933511383832 0.00014364659728016704 0.0002714831498451531 0.00035711732925847173 0.00047975624329410493 5.126189353177324e-05 0.0004519441572483629 0.04648800194263458 0.6329363584518433 0.37515920400619507 0.00020358854089863598
    1.2.826.0.1.3680043.8.498.13088790566022856957058072408865344656 0.00028201297391206026 0.00027034038794226944 0.0004309019132051617 0.0008203816832974553 0.0005177661078050733 0.0007087166304700077 0.0002231911348644644 0.16611452400684357 0.6401108503341675 0.39269930124282837 0.0006457329145632684
    1.2.826.0.1.3680043.8.498.43661191424691886099583231069217961669 0.0017873609904199839 0.0063055893406271935 0.003878473537042737 0.0015239289496093988 0.001871587010100484 0.0001838170428527519 0.09362813085317612 0.5193482637405396 0.461033433675766 0.1598827838897705 0.0012728021247312427
    1.2.826.0.1.3680043.8.498.21117943636958488593089462375658839897 9.807907190406695e-05 0.0001276965340366587 0.0006971046095713973 0.00033678809995763004 0.00026318576419726014 8.985390013549477e-05 0.0003305665450170636 0.11548368632793427 0.028542062267661095 0.8680960536003113 4.004060247098096e-05
    1.2.826.0.1.3680043.8.498.55509641140780456619622749065494075302 0.00030984351178631186 0.00030638519092462957 0.0003431577351875603 0.00047393509885296226 0.0005451164906844497 0.00020643537573050708 0.0003771566553041339 0.23329174518585205 0.2142348736524582 0.5347557067871094 0.0003218009660486132
    1.2.826.0.1.3680043.8.498.70652854150389843539102045936018390898 0.0005766161484643817 0.0008562480215914547 0.0010758072603493929 0.0013177953660488129 0.0015158298192545772 0.00034963738289661705 0.0007694571395404637 0.07644181698560715 0.6471915245056152 0.46694111824035645 0.0004990853485651314
    1.2.826.0.1.3680043.8.498.23127149924245962887601565612738285364 0.0005009503220207989 0.0010385680943727493 0.003436464350670576 0.0033653273712843657 0.0007812915137037635 0.014091593213379383 0.0002025138819590211 0.05784284323453903 0.17051227390766144 0.9203859567642212 0.0006561020854860544
    1.2.826.0.1.3680043.8.498.10481069678428361678005500145554344249 0.00023273591068573296 0.0001983368129003793 0.00027099752333015203 0.0006974962307140231 0.0003411154029890895 0.0004887153627350926 8.00849447841756e-05 0.018146853893995285 0.029203230515122414 0.9708181619644165 0.00012028365017613396
    1.2.826.0.1.3680043.8.498.54879663047014542417462040202827712479 0.00013202815898694098 0.00014154329255688936 0.0002053243515547365 0.00022641541727352887 0.0002789231075439602 9.27386645344086e-05 0.00020117705571465194 0.011339589022099972 0.07653678953647614 0.9275653958320618 6.035679325577803e-05
    1.2.826.0.1.3680043.8.498.14888859702087984209625178218933314481 0.0008680196478962898 0.0010281556751579046 0.0008213192340917885 0.0021022658329457045 0.0014639503788203 0.0016743341693654656 0.0017246697098016739 0.22841131687164307 0.4262964129447937 0.32014185190200806 0.0012988506350666285
    1.2.826.0.1.3680043.8.498.12690060112282773076901857336732329837 0.0013421305920928717 0.006378498859703541 0.003578209551051259 0.0006046404596418142 0.004278632812201977 0.0020580273121595383 0.9935989379882812 0.06255491077899933 0.43942776322364807 0.8530756235122681 0.0022258295211941004
    1.2.826.0.1.3680043.8.498.66456413824959223454109535007290522821 0.00023567260359413922 0.00017434809706173837 0.0001991175813600421 0.00035341130569577217 0.0005085478187538683 2.13232051464729e-05 0.00041440658969804645 0.03752846643328667 0.11098320782184601 0.8367688059806824 0.00016714133380446583
    1.2.826.0.1.3680043.8.498.70049109850005605790668983177550815790 0.0005721235647797585 0.0014055807841941714 0.0007954263128340244 0.0011228572111576796 0.0013017560122534633 0.0005563547601923347 0.0033607431687414646 0.19452834129333496 0.48858338594436646 0.5946875214576721 0.030799875035881996
    1.2.826.0.1.3680043.8.498.68900146833403513559235878419878414373 0.00020930431492161006 0.0002256646694149822 0.00033895831438712776 0.0004733591922558844 0.00032797001767903566 0.0005402896204032004 0.00014775923045817763 0.0356128104031086 0.1458238959312439 0.8304418325424194 0.0003075875574722886
    1.2.826.0.1.3680043.8.498.57800023260975807688853575776471305800 0.00011542951688170433 0.00010000153997680172 0.0003389705379959196 0.0003337122325319797 0.0002778348862193525 0.00010573038889560848 0.00027351450989954174 0.006750543601810932 0.02859823778271675 0.9712063074111938 8.429342415183783e-05
    1.2.826.0.1.3680043.8.498.20698658029925987387700331872980229637 0.0004968277644366026 0.0005175614496693015 0.0005377006018534303 0.0008551855571568012 0.0013268941547721624 0.00012140967737650499 0.0013493078295141459 0.19332216680049896 0.6423708200454712 0.33102139830589294 0.0005709367687813938
    1.2.826.0.1.3680043.8.498.19616866903213935438285746524694767960 0.00015788807650096714 0.00016839831368997693 0.0001878475450212136 0.0004215155786368996 0.0001837863092077896 0.0004233812796883285 0.00013399639283306897 0.017882244661450386 0.03714299947023392 0.9563885927200317 0.00014064837887417525
    1.2.826.0.1.3680043.8.498.41535667548010715046481055202556807621 0.0011482182890176773 0.00176282471511513 0.0027605686336755753 0.00316322292201221 0.02070518210530281 0.009601647034287453 0.7767814993858337 0.014880133792757988 0.1354871690273285 0.9030642509460449 0.0011636741692200303
    1.2.826.0.1.3680043.8.498.45051852676223386980310640500469416367 0.0002619075239636004 0.00020023217075504363 0.0002597382408566773 0.0004865460505243391 0.00040336669189855456 0.00025017285952344537 0.0001315488771069795 0.04689337685704231 0.12349870055913925 0.7909742593765259 0.00020368343393784016
    1.2.826.0.1.3680043.8.498.77995696111037732528529442417854850013 0.00020877333008684218 9.794886864256114e-05 0.00017264133202843368 0.00040472066029906273 0.0005157412379048765 5.311218410497531e-05 0.00012148111272836104 0.0064726658165454865 0.05361460521817207 0.9386432766914368 0.00011824358807643875
    1.2.826.0.1.3680043.8.498.37271923691491340579139409076896984670 0.00014856284542474896 0.00015949564112816006 0.00034662598045542836 0.0005163869936950505 0.0005475149373523891 0.00017901358660310507 0.00021000129345338792 0.002539709908887744 0.017742376774549484 0.9927133321762085 9.814315853873268e-05
    1.2.826.0.1.3680043.8.498.69513621823747884010332187154182820665 0.0008919531246647239 0.0014322855276986957 0.0016466695815324783 0.0012520235031843185 0.0015540372114628553 0.0009811659110710025 0.0024081082083284855 0.3286970257759094 0.34555137157440186 0.46060171723365784 0.0013420520117506385
    1.2.826.0.1.3680043.8.498.83595233649861111050520541645853312125 0.000334154290612787 0.0003944241034332663 0.00047528609866276383 0.0005569398635998368 0.0006108329980634153 7.495546014979482e-05 0.001836279989220202 0.07534672319889069 0.3066689372062683 0.5862887501716614 0.00023188779596239328
    1.2.826.0.1.3680043.8.498.10452357906064888703284204368781677229 0.0002603944158181548 0.0005000933306291699 0.0014589682687073946 0.0011257955338805914 0.0006725083803758025 0.003826326224952936 0.0003545835497789085 0.008023368194699287 0.01708502136170864 0.9854047894477844 0.00018756416102405638
    1.2.826.0.1.3680043.8.498.12578599293860539684657413501628812995 0.0002620421873871237 0.00023482013784814626 0.00021079322323203087 0.0002700642216950655 0.00029231986263766885 6.516223947983235e-05 0.0002107186010107398 0.022461626678705215 0.13109105825424194 0.8750893473625183 0.00014854679466225207
    1.2.826.0.1.3680043.8.498.87778685080234406442808977925223441361 0.0019779440481215715 0.0021378358360379934 0.0024713079910725355 0.010704465210437775 0.008354448713362217 0.03980480879545212 0.010578429326415062 0.05980575084686279 0.2943318486213684 0.8791530728340149 0.003883556928485632
    1.2.826.0.1.3680043.8.498.52494150169623509609825219028641753392 0.0002197265566792339 0.00014706220827065408 0.0004961661761626601 0.0005790769937448204 0.0006745311548002064 7.526105036959052e-05 0.00024591272813268006 0.011807477101683617 0.03271576389670372 0.9685888290405273 0.00011592744704103097
    1.2.826.0.1.3680043.8.498.13281053236111900473619834124549372465 0.00045919991680420935 0.0005989362834952772 0.0009903119644150138 0.0006226507248356938 0.0015555162681266665 8.690090908203274e-05 0.004774407483637333 0.11761204153299332 0.2514732778072357 0.6594703793525696 0.0003096324799116701
    1.2.826.0.1.3680043.8.498.10337181950222273714411904613878364348 0.00729499664157629 0.017952652648091316 0.015819180756807327 0.03481655940413475 0.0619828887283802 0.04420222342014313 0.856540858745575 0.1518080085515976 0.2768634259700775 0.1569930911064148 0.0025377306155860424
    1.2.826.0.1.3680043.8.498.76496471878974191821396097199350906972 0.00112691312097013 0.001629325794056058 0.002161327050998807 0.002736134920269251 0.0030295292381197214 0.0008896751096472144 0.004294744227081537 0.18638412654399872 0.7823210954666138 0.17665284872055054 0.001099707093089819
    1.2.826.0.1.3680043.8.498.95401377122466582508007386950409946202 0.004812765866518021 0.005312104243785143 0.007523683365434408 0.05965355783700943 0.03807685151696205 0.40707653760910034 0.05877440422773361 0.021006863564252853 0.31596583127975464 0.7287578582763672 0.005638026166707277
    1.2.826.0.1.3680043.8.498.91401148944390353763193100697074584136 0.0005909099709242582 0.0008099382976070046 0.0012768940068781376 0.0017491525504738092 0.0024169781245291233 0.0006300180684775114 0.0013654837384819984 0.018579108640551567 0.041424814611673355 0.9527561068534851 0.0002623393083922565
    1.2.826.0.1.3680043.8.498.10840877411700568371056152140369871033 0.00029736178112216294 0.0001908120175357908 0.00024616860901005566 0.0006564906216226518 0.000795110419858247 0.00021555468265432864 0.0004991909372620285 0.01161012053489685 0.15217339992523193 0.885683536529541 0.0002319609047845006
    1.2.826.0.1.3680043.8.498.61749941354654453157328769079616940247 0.0002467994054313749 0.0030491012148559093 0.9986199140548706 0.008833076804876328 0.030877303332090378 0.013974214904010296 0.23138685524463654 0.051767099648714066 0.23764559626579285 0.7393425107002258 0.003362845629453659
    1.2.826.0.1.3680043.8.498.80603005866931877406285012460262146802 0.00074277154635638 0.0006103220512159169 0.000684551487211138 0.0013396565336734056 0.0019484482472762465 0.0003176849859301001 0.001106763957068324 0.039744097739458084 0.23193316161632538 0.8446345329284668 0.0006875089020468295
    1.2.826.0.1.3680043.8.498.91811877621936846670873612347161748768 0.004019520245492458 0.0352092981338501 0.3477221131324768 0.045080237090587616 0.08234338462352753 0.34372735023498535 0.08460073173046112 0.02225954830646515 0.05992352217435837 0.958636462688446 0.0021135734859853983
    1.2.826.0.1.3680043.8.498.98697599354350228981139487840329382003 0.025552600622177124 0.3582274913787842 0.4874095916748047 0.04914992302656174 0.1242588609457016 0.07468359917402267 0.6275355219841003 0.03441537916660309 0.15722978115081787 0.09234138578176498 0.0005698539316654205
    1.2.826.0.1.3680043.8.498.95278587790565847975810455657141134545 0.002998754847794771 0.04420630261301994 0.8930637240409851 0.035500653088092804 0.0694257989525795 0.13699138164520264 0.21215061843395233 0.026747947558760643 0.1431340128183365 0.8202142715454102 0.001424163579940796
    1.2.826.0.1.3680043.8.498.10637202411259589809271517175536088696 0.0003482930769678205 0.00048283711657859385 0.0003890230436809361 0.0005454350612126291 0.0006480339216068387 0.00040363037260249257 0.00048016238724812865 0.051471419632434845 0.7328344583511353 0.3329443037509918 0.00037696995423175395
    1.2.826.0.1.3680043.8.498.12604774248910714162786215138009214702 0.00016645033610984683 0.00010481713979970664 6.945007771719247e-05 0.00018919928697869182 0.0002048658934654668 2.8308157197898254e-05 6.891502562211826e-05 0.18014240264892578 0.4574425220489502 0.39258700609207153 0.00013944160309620202
    1.2.826.0.1.3680043.8.498.44771636982530783385041052898441100822 0.0087045356631279 0.07332520186901093 0.41434240341186523 0.05063512176275253 0.11506213247776031 0.2848471701145172 0.4030420184135437 0.05860302597284317 0.17725351452827454 0.46732884645462036 0.002729289699345827
    1.2.826.0.1.3680043.8.498.37296478879402442930895925409649197854 0.006641303189098835 0.05762820690870285 0.6548796892166138 0.022765155881643295 0.0935002788901329 0.022517725825309753 0.2007637917995453 0.059513263404369354 0.2943592667579651 0.7262846231460571 0.0021610648836940527
    1.2.826.0.1.3680043.8.498.10282650262058916052027860855353169450 0.0056093186140060425 0.09273916482925415 0.9001567959785461 0.042207974940538406 0.07067224383354187 0.27904170751571655 0.3848646581172943 0.04090608283877373 0.18864116072654724 0.6294864416122437 0.001111155143007636
    1.2.826.0.1.3680043.8.498.46389388485915329476656097339549924863 0.00011198809079360217 0.00013030644913669676 0.00019824306946247816 0.00021541069145314395 0.00012857085675932467 0.00015851731586735696 7.016448944341391e-05 0.0386926643550396 0.15333905816078186 0.8367010354995728 0.00011678769806167111
    1.2.826.0.1.3680043.8.498.12085793109946139656766887730899694469 0.0001505250547779724 0.00017585369641892612 0.00018030383216682822 0.0003711265744641423 0.00019562973466236144 0.0005087115569040179 8.93609831109643e-05 0.013439202681183815 0.022267814725637436 0.985035240650177 7.951932639116421e-05
    1.2.826.0.1.3680043.8.498.91625604567418138169451990224306269301 0.0014476256910711527 0.004744316451251507 0.002447793260216713 0.0012168638641014695 0.00894020777195692 0.004198731388896704 0.9930404424667358 0.16100136935710907 0.3509991765022278 0.4971754550933838 0.0014278644230216742
    1.2.826.0.1.3680043.8.498.49958061015779125132811542571109465627 0.005737406201660633 0.02640172466635704 0.020595677196979523 0.00713443523272872 0.009475009515881538 0.0093002300709486 0.1114993691444397 0.5659831762313843 0.5930078029632568 0.27698957920074463 0.00317831477150321
    1.2.826.0.1.3680043.8.498.12993986344881400436547137939455800213 0.0005261905607767403 0.0004951123846694827 0.0011396610643714666 0.0026425267569720745 0.001240571029484272 0.0015209050616249442 0.0006552836275659502 0.01559779979288578 0.0254301019012928 0.9836263656616211 0.00041710917139425874
    1.2.826.0.1.3680043.8.498.13913399887142190903952679463490403069 0.0005460029351525009 0.0006203918601386249 0.0005644995835609734 0.0005935310618951917 0.00088932691141963 0.0001303265307797119 0.0011291872942820191 0.11840621381998062 0.4372371733188629 0.6093175411224365 0.00041187595343217254
    1.2.826.0.1.3680043.8.498.22914892205608313647836524480444256894 0.00020465292618609965 0.00022702077694702893 0.0003463077882770449 0.0004211182240396738 0.00040471748798154294 0.0004616549122147262 0.00011324796651024371 0.023184338584542274 0.2082715779542923 0.7921090126037598 0.0002534784725867212
    1.2.826.0.1.3680043.8.498.27697747443268460568598529992272748533 0.0010945091489702463 0.0013126477133482695 0.001329916762188077 0.001934698550030589 0.0015752805629745126 0.0033530578948557377 0.002717386931180954 0.08953755348920822 0.2251226007938385 0.6602685451507568 0.0009563721832819283
    1.2.826.0.1.3680043.8.498.83663263187716496030216612265479741669 0.0003199811326339841 0.00026775518199428916 0.0003768508031498641 0.0006733984919264913 0.0008957111276686192 9.876672265818343e-05 0.00018912616360466927 0.02992231212556362 0.3996189832687378 0.671446681022644 0.00024530821247026324
    1.2.826.0.1.3680043.8.498.13092774335081316839393591720353169502 0.00025970052229240537 0.0005096873501315713 0.0018086449708789587 0.0012296243803575635 0.0010922385845333338 0.000825041439384222 0.0007066268590278924 0.00684133917093277 0.041904203593730927 0.9735996127128601 0.00014236196875572205
    1.2.826.0.1.3680043.8.498.13782042952975122601267912402559716796 0.0003901049785781652 0.0006412154762074351 0.000494755688123405 0.000478773785289377 0.0008883566479198635 8.617445564595982e-05 0.0005325808888301253 0.14480087161064148 0.4760873317718506 0.46663570404052734 0.0004118061042390764
    1.2.826.0.1.3680043.8.498.47921059615003175491465730106609200566 0.0001563448749948293 0.00012991837866138667 0.00026019359938800335 0.00046607875265181065 0.00027080150903202593 0.0004245434538461268 7.712771184742451e-05 0.016044003888964653 0.028389688581228256 0.9665192365646362 0.00012199019693071023
    1.2.826.0.1.3680043.8.498.55346283604502885409698605208456986510 0.0008255498250946403 0.000563834561035037 0.0005721646593883634 0.0020982651039958 0.002029819879680872 0.000641358201391995 0.0012269258731976151 0.24893924593925476 0.6351484060287476 0.18189667165279388 0.0009123992058448493
    1.2.826.0.1.3680043.8.498.44487653735934082268414669252711065644 0.00019147781131323427 0.00012802306446246803 0.0002410269808024168 0.00035084167029708624 0.0006464473553933203 3.086099968641065e-05 0.0003218294878024608 0.00842384435236454 0.03338058665394783 0.9534781575202942 9.455550025450066e-05
    1.2.826.0.1.3680043.8.498.59277069678535231387329509595840274952 0.0003252364112995565 0.0004928195849061012 0.0006604275549761951 0.0010691563365980983 0.0005347284022718668 0.0015344893326982856 0.00023435297771357 0.024045666679739952 0.06946591287851334 0.9462106823921204 0.00042649777606129646
    1.2.826.0.1.3680043.8.498.21268534958117063556920935092788819691 0.00013154880434740335 0.00011688734957715496 0.00011376044858479872 0.000198943424038589 0.00024365156423300505 1.5220271961879916e-05 0.00022104014351498336 0.06687793880701065 0.45053917169570923 0.4023462235927582 0.00011930678738281131
    1.2.826.0.1.3680043.8.498.11830628783129981422221259191778596286 0.00044398140744306147 0.00027249869890511036 0.000260042812442407 0.0007260755519382656 0.0010664358269423246 0.0001248993503395468 0.0006267221178859472 0.019862649962306023 0.13575932383537292 0.8686028718948364 0.0003175336169078946
    1.2.826.0.1.3680043.8.498.21966396235920316742231486349898286290 0.00041763175977393985 0.00030499842250719666 0.0003563954960554838 0.0006256469641812146 0.0009577161399647593 0.00013542805390898138 0.000745729950722307 0.030596792697906494 0.1649617850780487 0.8360221982002258 0.0002996563271153718
    1.2.826.0.1.3680043.8.498.87079825691316133109876073418836371731 0.0005862507969141006 0.0009598300093784928 0.0008627265924587846 0.0005580984288826585 0.0012248053681105375 9.578409662935883e-05 0.011313842609524727 0.04638142138719559 0.2414117306470871 0.76930171251297 0.0004076527839060873
    1.2.826.0.1.3680043.8.498.10335838928163478933251956766460926986 0.0005187285132706165 0.0008006722782738507 0.0022686750162392855 0.0010779815493151546 0.0016378735890612006 0.00110731297172606 0.0040214513428509235 0.015472382307052612 0.1664106547832489 0.8641255497932434 0.0003670505539048463
    1.2.826.0.1.3680043.8.498.12633219127030026453841112283162997925 0.0001949428697116673 0.00022539633209817111 0.00027055933605879545 0.0004727688501589 0.00018696211918722838 0.0006211653235368431 7.469699630746618e-05 0.03034195676445961 0.05219755321741104 0.9627230763435364 0.00025121954968199134
    1.2.826.0.1.3680043.8.498.11881227462625518560673642338961685270 0.00030375385540537536 0.0004698833799920976 0.0005225332570262253 0.0005206933128647506 0.0010947943665087223 5.236477591097355e-05 0.0015497307758778334 0.05681021139025688 0.18788404762744904 0.7504525780677795 0.00022666463337372988
    1.2.826.0.1.3680043.8.498.46013743400362563978586384447401314595 0.009138976223766804 0.2659037113189697 0.7191551923751831 0.015178054571151733 0.020194891840219498 0.6972173452377319 0.34783631563186646 0.1267746239900589 0.5597376823425293 0.7231595516204834 0.02137051708996296
    1.2.826.0.1.3680043.8.498.12550769822144247029613929279185934081 0.00026658023125492036 0.00025721086421981454 0.00042221610783599317 0.0006486196652986109 0.0006490146042779088 0.00025401375023648143 0.0004381284234113991 0.013318258337676525 0.03252570703625679 0.9593089818954468 0.00011450568126747385
    1.2.826.0.1.3680043.8.498.32164742650858273289404092265803233428 0.00038120526005513966 0.0005666755023412406 0.0005701158079318702 0.000772048719227314 0.000662376987747848 0.0007913953741081059 0.00028984027449041605 0.008700265549123287 0.3642050325870514 0.8056873083114624 0.00024750203010626137
    1.2.826.0.1.3680043.8.498.53778480465287298654052122403332542667 0.0010943261440843344 0.0014230262022465467 0.002004800597205758 0.001980127766728401 0.0017237488646060228 0.0012144396314397454 0.0011702177580446005 0.07681180536746979 0.2940642833709717 0.7404583096504211 0.0011224661720916629
    1.2.826.0.1.3680043.8.498.47354701300484266333385701877816596321 0.008307923562824726 0.07866470515727997 0.6703087091445923 0.042228080332279205 0.04840092360973358 0.7155923247337341 0.1194513663649559 0.07022615522146225 0.3204593062400818 0.6569966077804565 0.005174598656594753
    1.2.826.0.1.3680043.8.498.11767262506899675955978516969574000334 0.0003615538589656353 0.0003797434619627893 0.0003392232465557754 0.0005142344161868095 0.0004239391128066927 0.00021502657909877598 0.0006585103110410273 0.14202919602394104 0.28818008303642273 0.5901631116867065 0.0005112198414281011
    1.2.826.0.1.3680043.8.498.75092452864474038059292505196661480217 0.0010217037051916122 0.0012420067796483636 0.0030811759643256664 0.002201865892857313 0.0027732602320611477 0.0014593026135116816 0.002749922452494502 0.028520822525024414 0.3040187954902649 0.7527979016304016 0.0010409451788291335
    1.2.826.0.1.3680043.8.498.21563707087244805615180137159693276154 0.00014618129353038967 8.845933189149946e-05 0.00010143212421098724 0.0002496630186215043 0.00022788761998526752 3.10979739879258e-05 0.00014676501450594515 0.11255256831645966 0.4552687704563141 0.4958895146846771 0.0001616079971427098
    1.2.826.0.1.3680043.8.498.11049010416427639151815501454988489579 0.001960364868864417 0.002861329587176442 0.003195511642843485 0.006604758091270924 0.004396180622279644 0.007065330632030964 0.0038158714305609465 0.3684625029563904 0.35452914237976074 0.32721656560897827 0.002087836619466543
    1.2.826.0.1.3680043.8.498.12830341855620077347074933961940598444 0.0008579270215705037 0.004894459620118141 0.014202447608113289 0.0024400230031460524 0.0023795298766344786 0.0020291744731366634 0.06375665962696075 0.06341264396905899 0.13519762456417084 0.8441970944404602 0.0007109727011993527
    1.2.826.0.1.3680043.8.498.87746068956620320961903478184788787882 0.00015061479643918574 8.14200539025478e-05 9.409267659066245e-05 0.000250988028710708 0.00029106560396030545 6.618405313929543e-05 0.00020788065739907324 0.014940550550818443 0.11032310873270035 0.8689217567443848 0.00010105250112246722
    1.2.826.0.1.3680043.8.498.92663387372792487641402243461565636460 0.0005216632853262126 0.0006935022538527846 0.0010599762899801135 0.0011120960116386414 0.001549502252601087 0.00032740290043875575 0.0021205018274486065 0.029048431664705276 0.32448631525039673 0.6716506481170654 0.0007104508113116026
    1.2.826.0.1.3680043.8.498.13227595459358958954417854952718113601 0.003357037901878357 0.10593948513269424 0.8371306657791138 0.005978530738502741 0.04197872802615166 0.010909018106758595 0.850058913230896 0.41578108072280884 0.6238763928413391 0.5641158223152161 0.0014946159208193421
    1.2.826.0.1.3680043.8.498.11732716986354842783673365869494581055 0.0002438710944261402 0.00017408070561941713 0.0002027424779953435 0.00033273277222178876 0.00047934282338246703 5.482271808432415e-05 0.00030968227656558156 0.06384748965501785 0.17067494988441467 0.8001148104667664 0.00020482861145865172
    1.2.826.0.1.3680043.8.498.93830608129621889666410760487700270816 0.0006375114317052066 0.0008932186174206436 0.002317710081115365 0.00383570184931159 0.0011934302747249603 0.005296842195093632 0.00032407656544819474 0.026007484644651413 0.32254815101623535 0.7226177453994751 0.0009496953571215272
    1.2.826.0.1.3680043.8.498.71257369960199928984926441140032224868 0.002472508233040571 0.04952690005302429 0.9274706840515137 0.011601530015468597 0.06966395676136017 0.02248954586684704 0.3638756275177002 0.021684613078832626 0.0678255707025528 0.9707567095756531 0.0007238750113174319
    1.2.826.0.1.3680043.8.498.10113338522461088181605215601226116059 0.0018462433945387602 0.003129509510472417 0.004763660486787558 0.0076651377603411674 0.01264150720089674 0.009968379512429237 0.010537704452872276 0.025588881224393845 0.15820345282554626 0.8734936714172363 0.0013830617535859346
    1.2.826.0.1.3680043.8.498.10041791557539131382188540534351482560 0.0003758661332540214 0.0005090416525490582 0.0005475948564708233 0.0004916103789582849 0.0006703995750285685 0.00021142090554349124 0.0005991329671815038 0.041956495493650436 0.5815829634666443 0.5107241868972778 0.000385349674616009
    1.2.826.0.1.3680043.8.498.10147963900072882899885898630774489220 0.00010316407133359462 0.0011326557723805308 0.999139666557312 0.009903778322041035 0.008333032950758934 0.12593689560890198 0.004374769516289234 0.06364651769399643 0.15716877579689026 0.6502604484558105 0.00032784341601654887
    1.2.826.0.1.3680043.8.498.12009930189678955293065132433651276929 0.00023542165581602603 0.0002468629099894315 0.0003308496961835772 0.0003695931227412075 0.00041251134825870395 0.00016956613399088383 0.00030051215435378253 0.016909882426261902 0.025471284985542297 0.971225380897522 9.301635145675391e-05
    1.2.826.0.1.3680043.8.498.59964687946362926621123769443165910144 0.0006877451087348163 0.0013676044763997197 0.0011439298978075385 0.0009609897388145328 0.0012108234222978354 0.00016351751401089132 0.0014982041902840137 0.2651706039905548 0.522063672542572 0.21114440262317657 0.000435021793236956
    1.2.826.0.1.3680043.8.498.76134754873605763227304807135032490370 0.0005681347684003413 0.0006651428411714733 0.0006536160362884402 0.0009045825572684407 0.0011403625831007957 0.00023640462313778698 0.0005510690971277654 0.03735743835568428 0.5447784662246704 0.4729049801826477 0.000504569208715111
    1.2.826.0.1.3680043.8.498.18001429910476560724301959611609807341 0.00023559341207146645 0.0002678394957911223 0.00023382066865451634 0.00033247590181417763 0.0005318742478266358 7.15635105734691e-05 0.00017740935436449945 0.039595384150743484 0.3359808325767517 0.7132381200790405 0.00021077731798868626
    1.2.826.0.1.3680043.8.498.53575888705580817610680181620515231660 0.00036485237069427967 0.0004167404549662024 0.0006641132058575749 0.0007065532845444977 0.0006322338012978435 0.0006149645196273923 0.00042711920104920864 0.014544245786964893 0.12843847274780273 0.9201654195785522 0.0003402247093617916
    1.2.826.0.1.3680043.8.498.10593137537899098534003964519008996251 0.00473120529204607 0.08378823101520538 0.93706214427948 0.01720975525677204 0.09936089813709259 0.16796979308128357 0.6694513559341431 0.02789636328816414 0.19793753325939178 0.8921148180961609 0.00299649010412395
    1.2.826.0.1.3680043.8.498.74198825874298585496147957428893851793 0.0009528173832222819 0.0012720494996756315 0.0024449056945741177 0.0035150039475411177 0.0073377699591219425 0.0034111447166651487 0.005051237531006336 0.024204764515161514 0.0376729890704155 0.9659258127212524 0.00043506588554009795
    1.2.826.0.1.3680043.8.498.68800551270210278450835381134076163900 0.00016081551439128816 0.00232362886890769 0.9931008219718933 0.010756435804069042 0.004048743285238743 0.4295074939727783 0.0020668222568929195 0.03137938305735588 0.3042534589767456 0.9196645617485046 0.0005406749551184475
    1.2.826.0.1.3680043.8.498.95647516404108828494404110449440101277 0.00036697881296277046 0.0005891263717785478 0.0006096142460592091 0.000633642659522593 0.0009577093878760934 0.000141391676152125 0.002549362601712346 0.07739637792110443 0.16243363916873932 0.8446909189224243 0.0002863465924747288
    1.2.826.0.1.3680043.8.498.69076919142655424758457683771313208022 0.007644291967153549 0.15750348567962646 0.6028879284858704 0.020985065028071404 0.035819895565509796 0.4834972023963928 0.08839084208011627 0.024576257914304733 0.2860872447490692 0.8093584775924683 0.0027775440830737352
    1.2.826.0.1.3680043.8.498.61247940310088511844862905260353478460 0.0003121047338936478 0.0022789970971643925 0.9962188005447388 0.017705023288726807 0.03120916523039341 0.11336474120616913 0.01755080558359623 0.012166524305939674 0.05488505959510803 0.9281324148178101 0.00035451495205052197
    1.2.826.0.1.3680043.8.498.76035040946276295290418508057364285074 0.0005005766870453954 0.00044422707287594676 0.0007724640890955925 0.0009358584065921605 0.0006143467617221177 0.0015291768359020352 0.00019015520229004323 0.4458424150943756 0.15184037387371063 0.4394848346710205 0.0005099113914184272
    1.2.826.0.1.3680043.8.498.63121369881604788524467837894570578683 0.00047591194743290544 0.00036658733733929694 0.0003318424569442868 0.0008991524809971452 0.0012929709628224373 0.00013996857160236686 0.00044064526446163654 0.4427487850189209 0.4752776622772217 0.19984272122383118 0.0004540314548648894
    1.2.826.0.1.3680043.8.498.12197490665548279845867149730622457543 0.0008196550188586116 0.001108319964259863 0.0011575310491025448 0.0015088962391018867 0.002549887401983142 0.00028795358957722783 0.0024820908438414335 0.3222079873085022 0.3929019272327423 0.3729994297027588 0.0008635568665340543
    1.2.826.0.1.3680043.8.498.11168049613881084476133675906884883064 0.00032980585820041597 0.00029774755239486694 0.0003111671539954841 0.0004236883542034775 0.0006651320145465434 7.976037886692211e-05 0.0003582322387956083 0.010221007280051708 0.07352705299854279 0.9381183385848999 0.00013123988173902035
    1.2.826.0.1.3680043.8.498.16125957914579605439145794031283918430 0.009909597225487232 0.17755186557769775 0.7610915899276733 0.0446186363697052 0.044209666550159454 0.08485002815723419 0.17855584621429443 0.030024250969290733 0.10854591429233551 0.8566466569900513 0.0015487481141462922
    1.2.826.0.1.3680043.8.498.10138118819201431308605520736644900067 0.03613019734621048 0.5228797197341919 0.25090181827545166 0.0026008798740804195 0.015216442756354809 0.0010269774356856942 0.9924589395523071 0.23562665283679962 0.32508397102355957 0.6023468971252441 0.04028332978487015
    1.2.826.0.1.3680043.8.498.27931354138799247248523509069177530454 0.000199495189008303 0.00018329366866964847 0.00019612550386227667 0.0003225088876206428 0.00023538732784800231 0.00024614465655758977 0.00012825769954361022 0.11530079692602158 0.24281947314739227 0.5937527418136597 0.00022630454623140395
    1.2.826.0.1.3680043.8.498.11678587871346461385123002301432003292 0.016696494072675705 0.2148827761411667 0.3304606080055237 0.028839945793151855 0.030906787142157555 0.5447911024093628 0.11464685201644897 0.0797898918390274 0.40460634231567383 0.35812240839004517 0.001225653337314725
    1.2.826.0.1.3680043.8.498.80357612262906869943559960875535796824 0.0005166537594050169 0.0004646861052606255 0.0005626759375445545 0.0008727864478714764 0.0010929685086011887 0.0001579927047714591 0.0006659483187831938 0.032607924193143845 0.16128189861774445 0.8244260549545288 0.00040432941750623286
    1.2.826.0.1.3680043.8.498.74387786883821633536205045893893445927 0.0002801047812681645 0.00027782999677583575 0.00038702035089954734 0.0006123979110270739 0.0006686599808745086 0.00010421852493891492 0.000787456869147718 0.01351530384272337 0.10637296736240387 0.8790424466133118 0.0002025372814387083
    1.2.826.0.1.3680043.8.498.41318741015693601969802185906458584716 0.00019787551718764007 0.0001869102707132697 0.0002575021062511951 0.0003016411210410297 0.0004867860989179462 5.1834773330483586e-05 0.00022386957425624132 0.006992843002080917 0.13426704704761505 0.9229692220687866 0.00011396761692594737
    1.2.826.0.1.3680043.8.498.94505810425916080778715968083930878308 0.0029031496960669756 0.06745125353336334 0.9163254499435425 0.010703198611736298 0.052018724381923676 0.04018049314618111 0.5357138514518738 0.025723453611135483 0.33385756611824036 0.8960654139518738 0.0017196005210280418
    1.2.826.0.1.3680043.8.498.45120146231977124897648910573905417274 0.0005275125149637461 0.00039087337790988386 0.0006277001230046153 0.0010363920591771603 0.0015137793961912394 0.00011450907913967967 0.00043957895832136273 0.053973980247974396 0.22378072142601013 0.8127548098564148 0.0004828751552850008
    1.2.826.0.1.3680043.8.498.37962430880382922865661329630508882291 0.00036628302768804133 0.0008264194475486875 0.0013073344016447663 0.0009301927639171481 0.000895182485692203 0.002508108038455248 0.013146418146789074 0.03562147170305252 0.03556299954652786 0.967431902885437 0.0004230874474160373
    1.2.826.0.1.3680043.8.498.11940477369857105629713996572151675072 0.002701208461076021 0.12022682279348373 0.822573184967041 0.005233197472989559 0.013825902715325356 0.20650267601013184 0.7665254473686218 0.05784172937273979 0.30341458320617676 0.7895461916923523 0.0022253463976085186
    1.2.826.0.1.3680043.8.498.39822746201352664489239195524118521879 0.0007490705465897918 0.002607488539069891 0.0044305999763309956 0.004250919446349144 0.0019813524559140205 0.009446906857192516 0.0021479404531419277 0.00966646522283554 0.032933007925748825 0.9826191067695618 0.0005851992173120379
    1.2.826.0.1.3680043.8.498.85014770537352230989561227116748699335 0.000829925003927201 0.014798318967223167 0.9879022836685181 0.006578718777745962 0.013873660936951637 0.1345580816268921 0.09355244040489197 0.07509684562683105 0.6403154134750366 0.7808241248130798 0.0020842663943767548
    1.2.826.0.1.3680043.8.498.12406023961132436663653498164982280751 0.00015606600209139287 0.0001884364173747599 0.00020894629415124655 0.00020083386334590614 0.0002955087402369827 2.639553349581547e-05 0.00048777827760204673 0.008310744538903236 0.032531943172216415 0.971635639667511 0.00010184446728089824
    1.2.826.0.1.3680043.8.498.93670541562845245128097569962502289876 0.00026538880774751306 0.0003958690504077822 0.00042009918252006173 0.0004299401771277189 0.0007314395043067634 7.866327359806746e-05 0.005779269617050886 0.016718829050660133 0.07535233348608017 0.9385302662849426 0.00030864510335959494
    1.2.826.0.1.3680043.8.498.16252845562361859101520290638395736604 0.0003270049055572599 0.00031962632783688605 0.00024100067093968391 0.0005168046918697655 0.0006266150157898664 8.908649033401161e-05 0.000474040221888572 0.0365910530090332 0.2883531451225281 0.7742704749107361 0.00020916960784234107
    1.2.826.0.1.3680043.8.498.12532698094316658908961115043014212763 0.005694504827260971 0.07421625405550003 0.06331972777843475 0.0033565335907042027 0.01189352385699749 0.0006096889264881611 0.9834087491035461 0.06354223191738129 0.2888670563697815 0.4296649098396301 0.00213517714291811
    1.2.826.0.1.3680043.8.498.92250518878477539135592870301547637067 0.02201412245631218 0.3563461899757385 0.4375789761543274 0.0068037249147892 0.017813432961702347 0.0817297026515007 0.9457729458808899 0.10597636550664902 0.33144885301589966 0.5773807168006897 0.011027583852410316
    1.2.826.0.1.3680043.8.498.49382937266706422438034999229068500667 0.0005006883293390274 0.00040170649299398065 0.0007973733590915799 0.0018575892318040133 0.003072627354413271 0.001476701581850648 0.002220120979472995 0.008813401684165001 0.02011057361960411 0.976357102394104 0.0001778307050699368
    1.2.826.0.1.3680043.8.498.22346460185661212420708858438465899847 0.0004241668211761862 0.00045449729077517986 0.000597463280428201 0.0011061371769756079 0.0005386976408772171 0.0010620213579386473 0.0003952865954488516 0.023548288270831108 0.12653490900993347 0.8922622799873352 0.0004216184315737337
    1.2.826.0.1.3680043.8.498.71614491924395240470782934580477494965 0.00021863789879716933 0.0002537201507948339 0.00040279520908370614 0.0008058974635787308 0.000432030763477087 0.0010033959988504648 0.00016029414837248623 0.016354959458112717 0.021638978272676468 0.9864739179611206 0.00014311564154922962
    1.2.826.0.1.3680043.8.498.75904110512174497833429805140507909682 0.0001857693714555353 0.00017509952886030078 0.00036303847446106374 0.0003853141679428518 0.0006308116135187447 5.5361677368637174e-05 0.0003843367157969624 0.007556783501058817 0.09587632119655609 0.9055544137954712 8.244733180617914e-05
    1.2.826.0.1.3680043.8.498.25293627224876132902437909690645080270 0.00019349498325027525 0.00021489683422259986 0.00033944263122975826 0.00046766953892074525 0.0004144613048993051 0.00022550155699718744 0.00022245773288886994 0.06402967870235443 0.7958633899688721 0.30412155389785767 0.00021731678862124681
    1.2.826.0.1.3680043.8.498.46274949639795559526388198274394456667 0.00020285505161155015 0.0001548124273540452 0.00019013145356439054 0.00027507703634910285 0.0004509940627031028 5.091381535748951e-05 0.00017578814004082233 0.007615251000970602 0.12512925267219543 0.9181861877441406 0.00011886361608048901
    1.2.826.0.1.3680043.8.498.11939637488929099616487256398356819308 0.0003392076469026506 0.00032210053177550435 0.0003757361264433712 0.000741220370400697 0.0010994526091963053 0.00028424689662642777 0.0005502439453266561 0.01354154385626316 0.027226194739341736 0.9726912379264832 0.0002122583391610533
    1.2.826.0.1.3680043.8.498.84258051164681853087942074751090406636 0.0020326008088886738 0.005466286092996597 0.007956953719258308 0.0024776847567409277 0.006096165161579847 0.0007254710071720183 0.06652747094631195 0.07859320938587189 0.2835621237754822 0.6855206489562988 0.001662243390455842
    1.2.826.0.1.3680043.8.498.74177294943671644712294470021923536575 0.000428105762694031 0.0004463984223548323 0.0005866790888831019 0.0007194462232291698 0.001117245526984334 8.471582259517163e-05 0.005367631558328867 0.05683033540844917 0.5293525457382202 0.49134889245033264 0.0003954698331654072
    1.2.826.0.1.3680043.8.498.11525432648703795507384433160442533304 0.004484659992158413 0.02709239162504673 0.016411002725362778 0.005805147811770439 0.07029551267623901 0.000978732598014176 0.9903310537338257 0.06442347913980484 0.17621658742427826 0.5317379832267761 0.0012599540641531348
    1.2.826.0.1.3680043.8.498.90372167792781818448187325582215445532 0.000972699373960495 0.0010702327126637101 0.0013047365937381983 0.0024856398813426495 0.0076805828139185905 0.0011550479102879763 0.014696814119815826 0.010626912117004395 0.1393071711063385 0.9077919125556946 0.000803469680249691
    1.2.826.0.1.3680043.8.498.38841074129080860735935001900438101161 0.00042414022027514875 0.0003710737801156938 0.0004501165240071714 0.0008173440583050251 0.0006563168717548251 0.00037060791510157287 0.0004710592911578715 0.036209169775247574 0.14546602964401245 0.8029574155807495 0.0003612704458646476
    1.2.826.0.1.3680043.8.498.81561256647536221481073868690368741433 0.0034989118576049805 0.007067014463245869 0.009781933389604092 0.009774173609912395 0.028863567858934402 0.004386143293231726 0.28145554661750793 0.17657151818275452 0.37670016288757324 0.508407711982727 0.0024580336175858974
    1.2.826.0.1.3680043.8.498.15278280789043307200693596352396086670 0.0003948277444578707 0.0004183569399174303 0.0007316536502912641 0.001184286316856742 0.001191520830616355 0.0002740061900112778 0.0009278937941417098 0.005133186466991901 0.01863945461809635 0.9864714741706848 0.00014868107973597944
    1.2.826.0.1.3680043.8.498.63044098437760757099206437619024426535 0.0006808430189266801 0.0007967969286255538 0.00127432681620121 0.001887667691335082 0.0035003446973860264 0.00021618360187858343 0.002862481400370598 0.012790670618414879 0.03426511213183403 0.9699721336364746 0.00026215086109004915
    1.2.826.0.1.3680043.8.498.13170843010264711603543927918888027474 0.00037129007978364825 0.0004458945186343044 0.0005700104520656168 0.0009887333726510406 0.0012687200214713812 6.0352282162057236e-05 0.0012966737849637866 0.22707882523536682 0.678508996963501 0.3386504650115967 0.00046061916509643197
    1.2.826.0.1.3680043.8.498.12217207900076030214773962107969909431 0.00015522053581662476 0.00021641228522639722 0.00017436062626075 0.00011326550884405151 0.0001598329545231536 2.039518949459307e-05 0.014967789873480797 0.21359089016914368 0.5771220326423645 0.2996208369731903 0.00030653452267870307
    1.2.826.0.1.3680043.8.498.62520878127446063866426894764218957152 0.00026284548221156 0.0003640002105385065 0.0007864818908274174 0.0005503291613422334 0.0004526099073700607 0.00023051266907714307 0.004007205367088318 0.011106602847576141 0.04704442620277405 0.9748191833496094 0.00023556011728942394
    1.2.826.0.1.3680043.8.498.23297315292572156877982582304317315666 0.0012023632880300283 0.0025970526039600372 0.002838898217305541 0.00279055698774755 0.0038555762730538845 0.0009277211502194405 0.0028152770828455687 0.46602243185043335 0.29343199729919434 0.16063573956489563 0.014891514554619789
    1.2.826.0.1.3680043.8.498.18317647241218837491504393590802798853 0.0007965071126818657 0.001342877745628357 0.000683481979649514 0.0009334626374766231 0.001543843769468367 0.00020059994130861014 0.0026424855459481478 0.7339625358581543 0.30618372559547424 0.11113051325082779 0.0017082387348636985
    1.2.826.0.1.3680043.8.498.76282284846279773322033566743673923102 0.000322959094773978 0.00026236759731546044 0.0002636308199726045 0.0005045768921263516 0.0005853093462064862 8.122435974655673e-05 0.0002122121659340337 0.008889342658221722 0.09054814279079437 0.927960991859436 0.00017229147488251328
    1.2.826.0.1.3680043.8.498.12746873459812814084480872173174347590 0.0001481813524151221 0.0001101921807276085 0.00021250604186207056 0.0002958322875201702 0.0002948948531411588 5.3646905143978074e-05 0.00031589175341650844 0.007547355256974697 0.07430869340896606 0.9597476720809937 9.745251736603677e-05
    1.2.826.0.1.3680043.8.498.21648875161255799328136478172312120142 0.0002216171706095338 0.00023878815409261733 0.00027827091980725527 0.0004004787770099938 0.0005795832257717848 3.831077629001811e-05 0.0007716715335845947 0.04353391006588936 0.7011969685554504 0.2908904552459717 0.0002446987200528383
    1.2.826.0.1.3680043.8.498.34813577131181900529110275957146003078 0.0004685923340730369 0.0005186592461541295 0.00048714401782490313 0.0007226605084724724 0.0010538094211369753 0.00010225236474070698 0.0011174482060596347 0.12035480886697769 0.6560967564582825 0.29643261432647705 0.0006477201241068542
    1.2.826.0.1.3680043.8.498.13085189398932296228440384312655307118 0.001320387702435255 0.002375827869400382 0.0014735441654920578 0.0015338805969804525 0.002819690853357315 0.0005586861516349018 0.011314919218420982 0.4365573823451996 0.22761163115501404 0.45012181997299194 0.002504862379282713
    1.2.826.0.1.3680043.8.498.64214960328754185804894781499996159962 0.002183807548135519 0.0014697875594720244 0.0022220576647669077 0.012117342092096806 0.006548120640218258 0.029484804719686508 0.004117412492632866 0.21077844500541687 0.07259751856327057 0.6001778244972229 0.0010708275949582458
    1.2.826.0.1.3680043.8.498.15456414622194857251424163133885175073 0.0003934770356863737 0.0004269907367415726 0.0004090675211045891 0.001005483907647431 0.001804443309083581 0.0001897448382806033 0.003785688430070877 0.011106753721833229 0.0414767786860466 0.9655418395996094 0.0002942008140962571
    1.2.826.0.1.3680043.8.498.38536684705176421549598429740074565879 0.00028227147413417697 0.00040458040894009173 0.0005065997247584164 0.0008379596401937306 0.0006768702296540141 0.0005673911073245108 0.0004908713744953275 0.013132056221365929 0.03454316034913063 0.9927409887313843 0.00027456393581815064
    1.2.826.0.1.3680043.8.498.76265608215357510277412713377643612089 0.00033494929084554315 0.00034870990202762187 0.00035150113399140537 0.0005753008299507201 0.0006795871304348111 8.726704254513606e-05 0.00039539154386147857 0.008780112490057945 0.05764990299940109 0.9576185345649719 0.00016571106971241534
    1.2.826.0.1.3680043.8.498.10822910067544823901793322680141012750 0.00028538747574202716 0.0003008637286256999 0.0005804435350000858 0.001957918284460902 0.0009448708733543754 0.007367448415607214 0.00028663731063716114 0.013445531018078327 0.028883332386612892 0.9546416997909546 0.00024859613040462136
    1.2.826.0.1.3680043.8.498.90662932328096962879885823759504371109 0.023944273591041565 0.2749316990375519 0.22658348083496094 0.08624504506587982 0.038312576711177826 0.7391361594200134 0.03988181799650192 0.056615084409713745 0.27099984884262085 0.6180459856987 0.009596825577318668
    1.2.826.0.1.3680043.8.498.11486106459163680072191183382443808155 0.00018317988724447787 0.0003215993638150394 0.0003539923345670104 0.00022138019267003983 0.00028072582790628076 7.743404421489686e-05 0.0030508481431752443 0.1631729155778885 0.24793288111686707 0.7381610870361328 0.00023636505648028105
    1.2.826.0.1.3680043.8.498.57398682946548010018869552249090283000 0.00031596297048963606 0.0003477165591903031 0.00026654801331460476 0.00039052258944138885 0.0005711794947274029 2.8532569558592513e-05 0.003428422613069415 0.05230138823390007 0.16237661242485046 0.8205634951591492 0.0002995979448314756
    1.2.826.0.1.3680043.8.498.60685311496532432777507035771380768209 0.019403859972953796 0.133445143699646 0.0536595955491066 0.014090755954384804 0.04819762706756592 0.024500016123056412 0.9121056795120239 0.25289425253868103 0.32240062952041626 0.35691624879837036 0.006597054190933704
    1.2.826.0.1.3680043.8.498.13517554122612536577832600503843504031 0.012626427225768566 0.3542945981025696 0.2478771209716797 0.002557511907070875 0.022825168445706367 0.0011292992858216166 0.977171778678894 0.04197388142347336 0.13714703917503357 0.9310124516487122 0.0008431952446699142
    1.2.826.0.1.3680043.8.498.13084146147070597634040403486955918540 9.82443307293579e-05 5.0947059207828715e-05 8.767162944423035e-05 0.00033948777127079666 0.00012117542792111635 0.0002483386197127402 2.211497849202715e-05 0.013626573607325554 0.08797713369131088 0.9420323371887207 0.00011313353024888784
    1.2.826.0.1.3680043.8.498.11782053201960285013064124404920580114 0.000402853824198246 0.0003463960892986506 0.0003982465132139623 0.0006685820990242064 0.0007869340479373932 8.485098805977032e-05 0.0003487016074359417 0.14207419753074646 0.40349990129470825 0.44552749395370483 0.00035445953835733235
    1.2.826.0.1.3680043.8.498.97908225013883230466988302100585629566 0.0062010763213038445 0.1795330047607422 0.723709225654602 0.014026924967765808 0.056463032960891724 0.005945565178990364 0.5618802905082703 0.07631617784500122 0.36570215225219727 0.3985691964626312 0.0003786241577472538
    1.2.826.0.1.3680043.8.498.42124104766635201332290510204795417508 0.0013400535099208355 0.0019792558159679174 0.0030637092422693968 0.001783528714440763 0.005841274745762348 0.0005437321960926056 0.02101868763566017 0.18455401062965393 0.2621936500072479 0.6263641715049744 0.0011265984503552318
    1.2.826.0.1.3680043.8.498.93370864558673547541513324949111715492 0.00024732528254389763 0.00021389569155871868 0.0002636911813169718 0.0004740986623801291 0.0007833641138859093 7.167523290263489e-05 0.0003646021359600127 0.011091038584709167 0.06289538741111755 0.9188772439956665 0.00015430701023433357
    1.2.826.0.1.3680043.8.498.11410174739122755228475722119132786253 0.0005416687927208841 0.000695901399012655 0.002334678778424859 0.0026792646385729313 0.0012728354195132852 0.0023610496427863836 0.0002986968611367047 0.013129755854606628 0.12292107194662094 0.8960913419723511 0.0003303762641735375
    1.2.826.0.1.3680043.8.498.56861913956579397335770331343388782085 0.0006131342379376292 0.0007406797376461327 0.00210361136123538 0.0018665936077013612 0.003809784073382616 0.0036090717185288668 0.00789673626422882 0.01378223579376936 0.05592241883277893 0.9512479901313782 0.00027318927459418774
    1.2.826.0.1.3680043.8.498.30393678832242777574957840717687120673 0.0004368149093352258 0.0007072942098602653 0.001763071515597403 0.002020388375967741 0.0017029289156198502 0.011265995912253857 0.0013031404232606292 0.017570892348885536 0.03403186425566673 0.9663171768188477 0.0006924265762791038
    1.2.826.0.1.3680043.8.498.59353489395265106662882058183167161463 0.00024768029106780887 0.00020877321367152035 0.0002353101735934615 0.0004696866380982101 0.0007250006310641766 3.576300878194161e-05 0.000457849440863356 0.005125260911881924 0.02327777072787285 0.9822721481323242 9.541234612697735e-05
    1.2.826.0.1.3680043.8.498.17099076006510738182727598915550279103 7.891686982475221e-05 0.00013854287681169808 0.0005664183991029859 0.0006757955998182297 6.291828321991488e-05 0.0016569539438933134 1.272669032914564e-05 0.018381882458925247 0.03566784784197807 0.9730749130249023 0.00016605007112957537
    1.2.826.0.1.3680043.8.498.11576561724476102899911500199777295406 0.0015158476307988167 0.013645829632878304 0.9540778994560242 0.02601919136941433 0.03145148605108261 0.7877267599105835 0.10499143600463867 0.15655937790870667 0.5438297390937805 0.5386480689048767 0.003819913137704134
    1.2.826.0.1.3680043.8.498.21057974986966188276892201455959914173 7.751013617962599e-05 8.401965897064656e-05 8.499412069795653e-05 0.0001185928558697924 0.00020198430866003036 2.7760426746681333e-05 0.00017654056136962026 0.007312145084142685 0.05356317013502121 0.9683954119682312 3.7585967220366e-05
    1.2.826.0.1.3680043.8.498.12562219815069739044708387097719051533 0.0004891727003268898 0.0003754083882085979 0.00047748995712026954 0.0012606707168743014 0.0008309828117489815 0.0005670644459314644 0.0001827433006837964 0.02116893231868744 0.23984470963478088 0.7691315412521362 0.00037227917346172035
    1.2.826.0.1.3680043.8.498.59093385271864046413477818484860605925 0.0034438439179211855 0.012754137627780437 0.011949775740504265 0.00579665694385767 0.030201762914657593 0.013607623986899853 0.9711624979972839 0.05850953608751297 0.16447487473487854 0.8823534250259399 0.49554887413978577
    1.2.826.0.1.3680043.8.498.98652220544477610248967967035780067592 0.00027764501282945275 0.0002654623822309077 0.0002748489787336439 0.0006663220119662583 0.000765951001085341 8.347054244950414e-05 0.0003898444410879165 0.07094954699277878 0.7236854434013367 0.26930469274520874 0.0003278107615187764
    1.2.826.0.1.3680043.8.498.71128249107289812751384978988028095989 0.00026031953166238964 0.0002241554029751569 0.00025883514899760485 0.0004389848036225885 0.0007128818542696536 4.752505992655642e-05 0.0004309755750000477 0.00893283449113369 0.042516984045505524 0.9613089561462402 0.00010874312283704057
    1.2.826.0.1.3680043.8.498.74102044252194740087768539962807856656 0.00017550561460666358 0.0001521160884294659 0.00013520724314730614 0.00026480041560716927 0.0001923323143273592 0.00020319255418144166 0.00011301601625746116 0.03756579011678696 0.5339877605438232 0.4891379773616791 0.00015055559924803674
    1.2.826.0.1.3680043.8.498.11692016453774243851459844190299961782 0.0012853703228756785 0.0015878891572356224 0.0014815202448517084 0.0028120740316808224 0.0018845439190045 0.0006148944376036525 0.0016721592983230948 0.6956439018249512 0.29775553941726685 0.21901659667491913 0.002192473504692316
    1.2.826.0.1.3680043.8.498.47785081539388796860273510707912046200 0.00029177096439525485 0.00023686762142460793 0.0004409625253174454 0.0006755772628821433 0.0007568023866042495 0.00020803271036129445 0.0002986891195178032 0.04630336910486221 0.46283525228500366 0.4707224369049072 0.0002515381493140012
    1.2.826.0.1.3680043.8.498.10065960392635142008327191647048575176 0.0011695108842104673 0.0016796417767181993 0.002865169197320938 0.004374357871711254 0.0053207604214549065 0.011478498578071594 0.014230082742869854 0.09878213703632355 0.2976517677307129 0.46966761350631714 0.0006400182610377669
    1.2.826.0.1.3680043.8.498.10718067042113952383383506906082402228 0.0003669201396405697 0.0002413345209788531 0.00039258151082322 0.002555475104600191 0.0015130438841879368 0.001008093124255538 0.0005222278414294124 0.8578912615776062 0.03812487795948982 0.1495135873556137 0.0006431769579648972
    1.2.826.0.1.3680043.8.498.36419196209139204864538184070319451573 0.0007374993292614818 0.000748969498090446 0.000990994623862207 0.0011862546671181917 0.0014850193401798606 0.0003538884920999408 0.0010658391984179616 0.07572656869888306 0.44367408752441406 0.5413421988487244 0.0007223605061881244
    1.2.826.0.1.3680043.8.498.89090722096286736427457371553897504604 0.0004095277690794319 0.0005091519560664892 0.0012120119063183665 0.0015659682685509324 0.00042914762161672115 0.0034035095013678074 0.00015307142166420817 0.14896932244300842 0.14187127351760864 0.6678705215454102 0.0006590681150555611
    1.2.826.0.1.3680043.8.498.87675240344162096177368705735037111887 0.0023558889515697956 0.02368062734603882 0.012896830216050148 0.0005476867081597447 0.003719313070178032 0.0012990988325327635 0.9976892471313477 0.02891663834452629 0.3438764810562134 0.5646313428878784 0.0008240581373684108
    1.2.826.0.1.3680043.8.498.73718279432003249738610365616019486344 7.037691830191761e-05 5.4960612033028156e-05 0.00010706102330004796 0.00019040452025365084 0.0001720407308312133 2.2540614736499265e-05 6.703145481878892e-05 0.004596726503223181 0.07607163488864899 0.9360397458076477 5.238543963059783e-05
    1.2.826.0.1.3680043.8.498.10609178605182990865690657979780250992 0.00017669917724560946 0.00016212153423111886 0.0001616351364646107 0.0002564792230259627 0.0005468792514875531 2.1839792680111714e-05 0.0003191893920302391 0.027461420744657516 0.04547213762998581 0.9302115440368652 0.00010775838745757937
    1.2.826.0.1.3680043.8.498.10134516674019272457703185065408770966 0.00032666782499291003 0.00039484602166339755 0.0003001342120114714 0.0004377475124783814 0.00046247750287875533 4.1892362787621096e-05 0.0020487960427999496 0.03459499031305313 0.2074752151966095 0.7575645446777344 0.00021315269987098873
    1.2.826.0.1.3680043.8.498.67928237486970957305589363543959740024 0.00021324199042282999 0.00044579533278010786 0.0002627650392241776 0.00024764766567386687 0.0003182664804626256 1.2696318663074635e-05 0.005866701249033213 0.08576373010873795 0.09091778844594955 0.8904722332954407 0.00013123996905051172
    1.2.826.0.1.3680043.8.498.57221228391925992924902935400134033370 0.002767982194200158 0.004639635793864727 0.006018536631017923 0.023813389241695404 0.04948015138506889 0.23202678561210632 0.2389240562915802 0.01170283742249012 0.05476237088441849 0.9617951512336731 0.0014600714202970266
    1.2.826.0.1.3680043.8.498.89466519547140285816547404003793952704 0.045684318989515305 0.49963483214378357 0.5206891894340515 0.04719720035791397 0.0706966370344162 0.0340622141957283 0.6606934070587158 0.23317675292491913 0.4574955999851227 0.37574517726898193 0.006550611462444067
    1.2.826.0.1.3680043.8.498.10285139566501432711826417366184221647 0.00024160541943274438 0.00022440231987275183 0.0002134858223143965 0.00038796724402345717 0.00044735876144841313 0.00016794752446003258 0.00011383483797544613 0.13601689040660858 0.10702098906040192 0.8186149597167969 0.0002764139499049634
    1.2.826.0.1.3680043.8.498.50049982242170292029595849218223368004 0.00018369837198406458 0.00010266216850141063 0.0001439353363821283 0.0003447963099461049 0.0003141112974844873 0.00010975918121403083 0.0001003498473437503 0.06194499880075455 0.21647770702838898 0.6825677156448364 0.00016250862972810864
    1.2.826.0.1.3680043.8.498.38014433023674080885270618693531460571 0.000370618945453316 0.0007472785655409098 0.0009845802560448647 0.00041345879435539246 0.0012415030505508184 0.00017962300626095384 0.005538047756999731 0.04979114979505539 0.23305213451385498 0.7300410270690918 0.00023443395912181586
    1.2.826.0.1.3680043.8.498.10272636645244458278529029940641375860 0.005000536795705557 0.04665666073560715 0.9418218731880188 0.04743059352040291 0.1043599396944046 0.2024892270565033 0.2554788887500763 0.2962596118450165 0.4086466431617737 0.7063135504722595 0.01833987981081009
    1.2.826.0.1.3680043.8.498.70088568018264336268637163473209608400 0.001354506821371615 0.0339432992041111 0.9684799909591675 0.03222949057817459 0.020361023023724556 0.6949867010116577 0.016097422689199448 0.01650855876505375 0.05432048439979553 0.9674213528633118 0.001394884311594069
    1.2.826.0.1.3680043.8.498.96755877616604257028607258774285834331 0.0009891914669424295 0.009101511910557747 0.9895159602165222 0.008415649645030499 0.03036319836974144 0.05774042010307312 0.18105456233024597 0.04395110160112381 0.22755832970142365 0.8282440900802612 0.0008232834516093135
    1.2.826.0.1.3680043.8.498.45667527857832097004117003057464802137 9.592394053470343e-05 8.9325025328435e-05 0.0001569858577568084 0.0002836490166373551 0.00011536719830473885 0.00023043170222081244 2.5722420105012134e-05 0.00418405095115304 0.04659553989768028 0.9700687527656555 7.419984467560425e-05
    1.2.826.0.1.3680043.8.498.60192761770755298863954815744110288931 0.00021699443459510803 0.00016204046551138163 0.00020206514454912394 0.0003573247231543064 0.00022457943123299628 0.0002957512915600091 7.719826680840924e-05 0.052694786339998245 0.039408765733242035 0.9352428317070007 0.00012509882799349725
    1.2.826.0.1.3680043.8.498.11649823501455439177755300698574323035 0.0003222677914891392 0.00018985015049111098 0.0002608064969535917 0.0010203125420957804 0.0010335904080420732 0.0004926054971292615 0.00048309657722711563 0.01921148970723152 0.07537974417209625 0.9192506670951843 0.00020892589236609638
    1.2.826.0.1.3680043.8.498.11126399127213136028051320527808999711 0.0002305211964994669 0.00028234472847543657 0.00038239097921177745 0.0005918844835832715 0.0003997312451247126 0.0006055724225006998 0.0002234911808045581 0.022916410118341446 0.08918798714876175 0.9395630955696106 0.00023491113097406924
    1.2.826.0.1.3680043.8.498.46632800215843322813184984190800867600 0.00033761095255613327 0.00048809158033691347 0.0005561251891776919 0.0005269214161671698 0.0010194811038672924 0.00011018401710316539 0.0008364616078324616 0.06311281025409698 0.43951886892318726 0.6095248460769653 0.0005615200498141348
    1.2.826.0.1.3680043.8.498.98231253766265983009336824324991559609 0.0002384689578320831 0.0003455195692367852 0.00034988284460268915 0.00021546604693867266 0.000380184588721022 1.9470071492833085e-05 0.0028925775550305843 0.018101630732417107 0.32052096724510193 0.6946535706520081 0.0002214589185314253
    1.2.826.0.1.3680043.8.498.29307469529669036261391366079898466806 0.00058698037173599 0.00038268655771389604 0.00043685612035915256 0.0016929293051362038 0.0013646259903907776 0.00032223950256593525 0.0004613593337126076 0.11303980648517609 0.4002949595451355 0.4073237478733063 0.0006887736963108182
    1.2.826.0.1.3680043.8.498.10656561400248665446334502585219663339 0.00013982862583361566 0.00027504703029990196 0.0004565286508295685 0.00031173002207651734 0.0003255466581322253 5.2690778829855844e-05 0.0010894479928538203 0.0034232083708047867 0.09779252111911774 0.9618004560470581 8.062577398959547e-05
    1.2.826.0.1.3680043.8.498.11127562970736597505190605819978176397 0.0005868047592230141 0.0003628270933404565 0.00038706324994564056 0.0012372692581266165 0.0020742439664900303 0.0003857668489217758 0.0008472088957205415 0.062454402446746826 0.20672020316123962 0.7607868909835815 0.0005144119495525956
    1.2.826.0.1.3680043.8.498.10352260304054423437664462615665755759 0.012580879032611847 0.31035226583480835 0.4439689517021179 0.04659700021147728 0.016262317076325417 0.7663451433181763 0.05490424111485481 0.11204712092876434 0.5924139022827148 0.7618809938430786 0.007890405133366585
    1.2.826.0.1.3680043.8.498.64768638203347754491081517472030259476 0.0011541878338903189 0.014134177938103676 0.7463105320930481 0.02287454903125763 0.02394406870007515 0.5612725019454956 0.02115030214190483 0.05722600966691971 0.19729068875312805 0.7256988286972046 0.0015121441101655364
    1.2.826.0.1.3680043.8.498.99164723963769046821344860448043358203 0.0005390443257056177 0.00034770608181133866 0.00044968081056140363 0.0011262204498052597 0.0011735440930351615 0.0011564845917746425 0.0002771194849628955 0.044809453189373016 0.18678507208824158 0.7916051149368286 0.00047347956569865346
    1.2.826.0.1.3680043.8.498.79869798208332764112164566077288996133 0.00013540244253817946 0.00011726234515663236 0.00023455471091438085 0.0004204583237878978 0.0004133499169256538 0.0001709332864265889 0.00011565078602870926 0.006801865994930267 0.007772295735776424 0.9941805601119995 6.09392773185391e-05
    1.2.826.0.1.3680043.8.498.12813019176329837262597409596156700781 0.00025962520157918334 0.00020603912707883865 0.00018272557645104825 0.00040657230420038104 0.0004640782135538757 0.00015300072846002877 0.0003341557749081403 0.0495135635137558 0.05900980904698372 0.9185810089111328 0.0002311608986929059
    1.2.826.0.1.3680043.8.498.71235987207720393110373237875429581343 0.0006868137279525399 0.0008106211316771805 0.0011106882011517882 0.0013124881079420447 0.0020099724642932415 0.00019474363944027573 0.00218997523188591 0.47862738370895386 0.4499168395996094 0.14895889163017273 0.0009544884087517858
    1.2.826.0.1.3680043.8.498.32849718534847358693946736461255410078 0.0012640802888199687 0.002013224409893155 0.0020445939153432846 0.0017509948229417205 0.005005756858736277 0.0004623470886144787 0.011259516701102257 0.020284412428736687 0.14181336760520935 0.8553784489631653 0.0004432898131199181
    1.2.826.0.1.3680043.8.498.87785423777438955086500925480717413008 0.0010059310588985682 0.002973412163555622 0.0030928333289921284 0.0018422029679641128 0.0013853630516678095 0.0004735466209240258 0.0022835861891508102 0.15337565541267395 0.4858625829219818 0.48824065923690796 0.0005612083477899432
    1.2.826.0.1.3680043.8.498.11698388989698466472028057977940857980 0.000324583932524547 0.0007271523354575038 0.0015797612722963095 0.0003008006897289306 0.0007278164266608655 0.00021162288612686098 0.004561333451420069 0.07052794098854065 0.24832823872566223 0.8039073944091797 0.0002673731651157141
    1.2.826.0.1.3680043.8.498.76111768317936968771136653366035464186 0.0002923805732280016 0.0002093828225042671 0.00022327600163407624 0.0004743131867144257 0.0005877249059267342 7.777119753882289e-05 0.0003198345366399735 0.03473718836903572 0.2652501165866852 0.7190109491348267 0.00023036841594148427
    1.2.826.0.1.3680043.8.498.51267782716656544104748446048825994017 0.012301492504775524 0.258041650056839 0.5657195448875427 0.004214144311845303 0.02378622628748417 0.02269918844103813 0.9342221021652222 0.25330355763435364 0.49800926446914673 0.6656049489974976 0.00399050023406744
    1.2.826.0.1.3680043.8.498.63939108424709939857489674510637883952 0.0014307266101241112 0.00596639234572649 0.2092985361814499 0.020562794059515 0.010140663012862206 0.1020197719335556 0.008937006816267967 0.1567171961069107 0.05790279433131218 0.7111899256706238 0.002646145410835743
    1.2.826.0.1.3680043.8.498.12878006739598944129893707854734619971 0.00018280945369042456 0.00013340977602638304 0.00018519168952479959 0.00036861628177575767 0.00031390663934871554 0.0002234782587038353 7.378855661954731e-05 0.012486444786190987 0.16512431204319 0.8670312166213989 0.0001790086244000122
    1.2.826.0.1.3680043.8.498.48059777945102427593406934938162301872 0.0001538847282063216 0.00010216781083727255 0.00012760507524944842 0.00026123024872504175 0.00019571145821828395 0.00014052526967134327 0.00019367420463822782 0.03004707768559456 0.4389128088951111 0.5622456669807434 0.0002136373659595847
    1.2.826.0.1.3680043.8.498.29497669986761188620219924261261717841 0.0012257470516487956 0.002946913708001375 0.006054691970348358 0.0035498167853802443 0.005973548628389835 0.002066612709313631 0.07852661609649658 0.02934778667986393 0.055578313767910004 0.9806221723556519 0.0009078365983441472
    1.2.826.0.1.3680043.8.498.10268860912536791382262657156680352517 0.00010050578566733748 6.88451254973188e-05 6.587659299839288e-05 0.00012174532457720488 0.00018295230984222144 6.993619081185898e-06 0.00019455651636235416 0.008443210273981094 0.06485338509082794 0.9493050575256348 6.1010494391666725e-05
    1.2.826.0.1.3680043.8.498.12179602488040621850690456227464082740 0.000540570414159447 0.0012309533776715398 0.0009754982893355191 0.0005499589024111629 0.0008271294645965099 0.00030857897945679724 0.0018542325124144554 0.10074710845947266 0.7183035612106323 0.3505304753780365 0.00039034703513607383
    1.2.826.0.1.3680043.8.498.15544819361790832099145397822287810086 0.00032893443130888045 0.00047868507681414485 0.00040416489355266094 0.000351542403222993 0.0005811820738017559 4.24453683081083e-05 0.0011351078283041716 0.050456054508686066 0.21429255604743958 0.7925925850868225 0.00027695955941453576
    1.2.826.0.1.3680043.8.498.59078193417526825269007372749501114859 0.00032573047792539 0.0002943388244602829 0.00029817892936989665 0.0005228771478869021 0.0011072655906900764 6.380379636539146e-05 0.001084273448213935 0.047744616866111755 0.31301435828208923 0.706066906452179 0.0003505396598484367
    1.2.826.0.1.3680043.8.498.51657810736444133149237400437340813028 0.00040791742503643036 0.0004002329951617867 0.0006264055846258998 0.0012967124348506331 0.0013012515846639872 0.0001742808090057224 0.0005318518378771842 0.03940516710281372 0.21696069836616516 0.8036683201789856 0.0003951982653234154
    1.2.826.0.1.3680043.8.498.18263345496004518848683408565429468181 0.007539665792137384 0.17011265456676483 0.7788292169570923 0.006063902284950018 0.044350527226924896 0.004003209061920643 0.955471396446228 0.17011834681034088 0.3956044316291809 0.4687446653842926 0.050143010914325714
    1.2.826.0.1.3680043.8.498.97738955040488981392350501647029729950 0.0006393963703885674 0.0010915629100054502 0.0012851163046434522 0.0020337707828730345 0.0019980142824351788 0.00024252335424534976 0.005717857740819454 0.0086173415184021 0.0454806312918663 0.9760569334030151 0.0004751363303512335
    1.2.826.0.1.3680043.8.498.12433950110592461946871335513343784499 0.004765224177390337 0.007610979489982128 0.006269187666475773 0.019119486212730408 0.09259824454784393 0.0055793942883610725 0.7739255428314209 0.05367382615804672 0.11881761252880096 0.5517845153808594 0.002562058623880148
    1.2.826.0.1.3680043.8.498.28031912213462470644853363409605457079 0.0008618113351985812 0.0010288824560120702 0.0012533103581517935 0.0015319447265937924 0.002994243521243334 0.00014648001524619758 0.0028676383662968874 0.0846831202507019 0.04143920913338661 0.901516318321228 0.00037941677146591246
    1.2.826.0.1.3680043.8.498.12135964627252425752818424804255722851 0.0006198245100677013 0.0006649772403761744 0.0005579527351073921 0.0007768628420308232 0.0011779742781072855 0.0002069429465336725 0.000756992376409471 0.3063618540763855 0.38572564721107483 0.32150858640670776 0.0007265696185640991
    1.2.826.0.1.3680043.8.498.29130598774608369471074165044093519716 0.00395317655056715 0.003725952934473753 0.004777585156261921 0.014375358819961548 0.01061314344406128 0.01703222654759884 0.014093118719756603 0.24776315689086914 0.4713759422302246 0.45290976762771606 0.004871502984315157
    1.2.826.0.1.3680043.8.498.42051546658503359881662310085681591718 0.0003302828408777714 0.00037679477827623487 0.0003249640576541424 0.0004155936185270548 0.0005607998464256525 0.0001057293702615425 0.0006415751995518804 0.052219994366168976 0.4873863756656647 0.5243985056877136 0.0003194338933099061
    1.2.826.0.1.3680043.8.498.38438861108405750064048872166616949987 0.0002527684555388987 0.00031714350916445255 0.0007065379759296775 0.00126439961604774 0.0005494190263561904 0.0009579486213624477 0.00018459772400092334 0.00770277064293623 0.021635783836245537 0.973875880241394 0.0001440303894924
    1.2.826.0.1.3680043.8.498.11237259999668595677405913251854603291 0.00025443785125389695 0.00018027701298706234 0.00025753292720764875 0.000445548037532717 0.0004639717808458954 0.000195320273633115 0.00020158472761977464 0.015371637418866158 0.20044410228729248 0.8094607591629028 0.00024051315267570317
    1.2.826.0.1.3680043.8.498.69025604111696380149638510117058731313 0.0009210834978148341 0.0010852522682398558 0.0010536917252466083 0.0013532841112464666 0.001266483566723764 0.0005426716525107622 0.006953487638384104 0.3537555932998657 0.2724536061286926 0.47117629647254944 0.0012289249571040273
    1.2.826.0.1.3680043.8.498.12945221462970589534463572183602219615 0.0005573561647906899 0.00040787813486531377 0.0008419730002060533 0.0013188966549932957 0.0015659002820029855 0.0002745949022937566 0.000570352713111788 0.01537700742483139 0.025657866150140762 0.9515242576599121 0.0002504914882592857
    1.2.826.0.1.3680043.8.498.67743622257640399507176720397093218762 0.0017016122583299875 0.0028482298366725445 0.0048551494255661964 0.015280736610293388 0.014336581341922283 0.1782982051372528 0.02754035033285618 0.009490902535617352 0.04806279391050339 0.9774308204650879 0.002277827588841319
    1.2.826.0.1.3680043.8.498.57762150551234556288870619495325328753 0.0003674777690321207 0.0003688808355946094 0.00038075915654189885 0.0006727621657773852 0.0006749717867933214 0.0003504606138449162 0.00024222648062277585 0.012834680266678333 0.20877841114997864 0.8047555685043335 0.00024215523444581777
    1.2.826.0.1.3680043.8.498.60682437520433824638752238195459301172 0.00032715144334360957 0.0003087703662458807 0.0003563195059541613 0.0007240878185257316 0.0006645129760727286 0.0004389191453810781 0.00042634797864593565 0.019271690398454666 0.055111438035964966 0.9385496973991394 0.0002562149311415851
    1.2.826.0.1.3680043.8.498.10312115089118394946873553175768990023 0.000828548043500632 0.0011652690591290593 0.0011740305926650763 0.002823225222527981 0.0026215766556560993 0.0005229057278484106 0.002072475152090192 0.031282830983400345 0.1032790094614029 0.8188163638114929 0.0006794153596274555
    1.2.826.0.1.3680043.8.498.45702744548363632745653326266871447417 0.012980605475604534 0.4646140933036804 0.36812350153923035 0.0020919637754559517 0.010520285926759243 0.002050218638032675 0.9912219047546387 0.07883481681346893 0.388475239276886 0.2905788719654083 0.0015509044751524925
    1.2.826.0.1.3680043.8.498.29314979120924621936907341330272024123 0.0020723140332847834 0.08221941441297531 0.8345004320144653 0.002221310045570135 0.012515485286712646 0.0014390796422958374 0.8287466764450073 0.0553007610142231 0.3780140280723572 0.8013550043106079 0.0015563759952783585
    1.2.826.0.1.3680043.8.498.49857070189737152785055173005576753969 0.00016723855515010655 8.550625352654606e-05 0.0001913898449856788 0.0006263694958761334 0.00041673105442896485 0.00030765164410695434 0.00010873088467633352 0.009301036596298218 0.031153235584497452 0.9654542803764343 0.00016047406825236976
    1.2.826.0.1.3680043.8.498.22507543268167200769502169200123747365 0.0007640796829946339 0.0006749409949406981 0.0005442005349323153 0.0014550999039784074 0.0018990561366081238 0.000530748744495213 0.0006703268154524267 0.777428388595581 0.28167644143104553 0.07605363428592682 0.0009750706958584487
    1.2.826.0.1.3680043.8.498.10310196767594434768374144167296835538 0.00029117270605638623 0.00032688979990780354 0.0003999978653155267 0.0005682114278897643 0.0010016494197770953 6.762180419173092e-05 0.0006160794291645288 0.054802488535642624 0.2111475020647049 0.7880746126174927 0.00014253756671678275
    1.2.826.0.1.3680043.8.498.97694108939602918035895707677664832093 0.00021129629749339074 0.000201273214770481 0.00046008118079043925 0.0006146429805085063 0.0009346505394205451 0.00011213858670089394 0.0008503046119585633 0.002706821309402585 0.01934340037405491 0.9909454584121704 0.0001055556203937158
    1.2.826.0.1.3680043.8.498.68523052873535475916849028955787276526 0.000629547459539026 0.0008079600520431995 0.0017189097125083208 0.0014454780612140894 0.0016697874525561929 0.0004992678295820951 0.0023501827381551266 0.2014981210231781 0.39634969830513 0.44353365898132324 0.0007536996272392571
    1.2.826.0.1.3680043.8.498.13023452071419513348053197816231298946 0.00032784201903268695 0.00017285082140006125 0.0004267971380613744 0.0010591379832476377 0.000953148293774575 0.000216809639823623 0.0002385691914241761 0.032357893884181976 0.3168381154537201 0.5865890383720398 0.00029159541008993983
    1.2.826.0.1.3680043.8.498.70320813260720069037134987913857608973 0.0005095613887533545 0.00041413336293771863 0.00044576619984582067 0.0007587502477690578 0.0012056829873472452 0.00011299261677777395 0.0007365263882093132 0.021167617291212082 0.27037981152534485 0.8129191398620605 0.00043239351361989975
    1.2.826.0.1.3680043.8.498.57405690457044440288520071771659888462 0.0003147530951537192 0.0002747257531154901 0.0002699018514249474 0.0006099239690229297 0.0008550037746317685 4.0492432162864134e-05 0.0005174045218154788 0.010685699060559273 0.14642399549484253 0.8805340528488159 0.00014851980085950345
    1.2.826.0.1.3680043.8.498.50196854310954220859199631908535912139 0.0004111559537705034 0.0009427902405150235 0.0019737505353987217 0.0018092527752742171 0.000705875747371465 0.003194608259946108 0.00026234035613015294 0.5384255647659302 0.08111504465341568 0.4357444643974304 0.0006538514862768352
    1.2.826.0.1.3680043.8.498.11062355269077797850965912651297943052 0.00036758556962013245 0.00038151131593622267 0.00029596855165436864 0.0006596666062250733 0.0009210443822667003 3.1208131986204535e-05 0.0012357470113784075 0.04784349724650383 0.2051728516817093 0.8426839709281921 0.00026745893410407007
    1.2.826.0.1.3680043.8.498.46051661782029502179083171206196473456 0.0002730956475716084 0.00035365880466997623 0.0005160444416105747 0.0007806875510141253 0.0006631789728999138 0.0011830941075459123 0.0003463756002020091 0.012550617568194866 0.022289644926786423 0.9797369837760925 0.00015648202679585665
    1.2.826.0.1.3680043.8.498.27126125935370429973358719311065464997 0.0005097800749354064 0.00047142422408796847 0.0005123279406689107 0.0008720103651285172 0.001347765326499939 8.02928552730009e-05 0.001963843358680606 0.01548096351325512 0.09943779557943344 0.962738037109375 0.00034713002969510853
    1.2.826.0.1.3680043.8.498.50244683386631791667235911838483287633 0.0006843252340331674 0.0006573155405931175 0.0005681762122549117 0.0009298903751187027 0.0010427271481603384 0.0004338498110882938 0.0014291938859969378 0.12101268768310547 0.2239399403333664 0.671721339225769 0.0006710350280627608
    1.2.826.0.1.3680043.8.498.12146407494503723181868721397423552170 0.00043641217052936554 0.00031745206797495484 0.00040986333624459803 0.0007403923664242029 0.001267062732949853 9.452857921132818e-05 0.0007356615387834609 0.08886414766311646 0.17372241616249084 0.6715736389160156 0.0002493936044629663
    1.2.826.0.1.3680043.8.498.63445190985949217251261701001633075527 0.00014438043581321836 0.00015495500701945275 0.0001499525096733123 0.00024363785632885993 0.00034252466866746545 2.957566721306648e-05 0.0004199397808406502 0.008859509602189064 0.03211969882249832 0.9693599939346313 9.189762931782752e-05
    1.2.826.0.1.3680043.8.498.51629319282530934748000736189232973567 0.0008292233687825501 0.0005744698573835194 0.0007903313962742686 0.002406149869784713 0.004207969177514315 0.0017600847641006112 0.0029087401926517487 0.035848356783390045 0.27248644828796387 0.6584686040878296 0.00048724509542807937
    1.2.826.0.1.3680043.8.498.17928482984048457507174199668415836978 0.016183245927095413 0.1531255692243576 0.10230835527181625 0.0467621311545372 0.08497584611177444 0.010368969291448593 0.901572585105896 0.05120735615491867 0.32208436727523804 0.6324025988578796 0.005666474811732769
    1.2.826.0.1.3680043.8.498.10665452635390842627429601342403500764 0.00010207050945609808 0.0012125559151172638 0.9975870251655579 0.008424430154263973 0.003916346002370119 0.09150756895542145 0.0010713996598497033 0.054124586284160614 0.20559236407279968 0.5354162454605103 0.0002107884211000055
    1.2.826.0.1.3680043.8.498.11440157355448937041149153062977337373 0.0008287577657029033 0.0009778507519513369 0.001337978057563305 0.002608807059004903 0.0020285677164793015 0.00118255743291229 0.0009939954616129398 0.36605304479599 0.45737433433532715 0.27124178409576416 0.0009724391857162118
    1.2.826.0.1.3680043.8.498.64691244740484501734426108972256717402 0.000469528284156695 0.0005891697946935892 0.0009824875742197037 0.0012476792326197028 0.0004994991468265653 0.002661298494786024 0.00014212266250979155 0.13777849078178406 0.5656403303146362 0.3555857241153717 0.0006260663503780961
    1.2.826.0.1.3680043.8.498.14234899397547148603119423538202181651 0.0003010202490258962 0.00035564485006034374 0.0005507331225089729 0.0010175986681133509 0.0003042898024432361 0.003144600195810199 9.865728497970849e-05 0.028611835092306137 0.23937039077281952 0.7874036431312561 0.0031264256685972214
    1.2.826.0.1.3680043.8.498.72719565400634858455476133686059948296 0.00039208694943226874 0.000400844553951174 0.0005736482562497258 0.0008281214977614582 0.0013115068431943655 0.00011988752521574497 0.002369476482272148 0.007518315222114325 0.02562030591070652 0.9769487380981445 0.00016915547894313931
    1.2.826.0.1.3680043.8.498.12727481342351273576457710853989762271 0.00032497552456334233 0.0003118353779427707 0.00026354065630584955 0.0005806831759400666 0.0005571824731305242 0.00014287204248830676 0.0002370575675740838 0.36543309688568115 0.32345688343048096 0.4968477785587311 0.0004263696609996259
    1.2.826.0.1.3680043.8.498.94081788955032935261686985907525016677 0.00017873159958980978 0.0001899613271234557 0.00015306890418287367 0.00018298780196346343 0.00022056286979932338 0.00010317482519894838 0.0003097084991168231 0.24469217658042908 0.2557692527770996 0.496431827545166 0.00020169916388113052
    1.2.826.0.1.3680043.8.498.62526919364589554290682861393869915970 0.0003706950228661299 0.000327688961988315 0.0010419593891128898 0.0010879049077630043 0.0017283791676163673 0.0002287842071382329 0.001009368454106152 0.010197070427238941 0.041647087782621384 0.9585466384887695 0.00018881878349930048
    1.2.826.0.1.3680043.8.498.27939662109153768254498580804430549648 0.0001419912587152794 9.214677265845239e-05 0.000122870274935849 0.00044970045564696193 0.00025608690339140594 0.00010572247992968187 6.992382259340957e-05 0.004917631857097149 0.0584995336830616 0.9627984762191772 0.00012545213394332677
    1.2.826.0.1.3680043.8.498.78179506983607163214240840550268756212 0.0003952974802814424 0.0002744679222814739 0.00030214095022529364 0.0004944977699778974 0.0007599602686241269 0.00020115237566642463 0.00024376754299737513 0.26855480670928955 0.3821946084499359 0.23932084441184998 0.0003740314277820289
    1.2.826.0.1.3680043.8.498.74748826624309425881788766174373012463 0.0012762844562530518 0.001442891196347773 0.0021655308082699776 0.007058259099721909 0.025409702211618423 0.05698833614587784 0.9670812487602234 0.04540228098630905 0.3586769700050354 0.5415308475494385 0.0014511330518871546
    1.2.826.0.1.3680043.8.498.12302803663141631583713915098580903196 0.0003166761598549783 0.00019563660316634923 0.00028841011226177216 0.0004554565530270338 0.0006495162378996611 0.00014097490929998457 0.000559006875846535 0.0471198596060276 0.10398465394973755 0.8541309237480164 0.00025465828366577625
    1.2.826.0.1.3680043.8.498.26409816247818984895703594613327432575 0.00019636537763290107 0.00012019103451166302 0.00019385611813049763 0.0003625060780905187 0.00044386880472302437 7.769326475681737e-05 8.437485666945577e-05 0.008331266231834888 0.0482076071202755 0.9429977536201477 9.701422095531598e-05
    1.2.826.0.1.3680043.8.498.11943949508338824380467763789900727578 0.00022239908867049962 0.00021817887318320572 0.00037735039950348437 0.0011752506252378225 0.0002811915474012494 0.0018840100383386016 7.7260316174943e-05 0.0483168289065361 0.10961097478866577 0.8852995038032532 0.00029001006623730063
    1.2.826.0.1.3680043.8.498.68285547723122533508447318840245794816 0.00034366094041615725 0.000364341918611899 0.0006711026071570814 0.0007757991552352905 0.001091912155970931 0.0003805687592830509 0.0004287793708499521 0.057804595679044724 0.2959083616733551 0.7434393167495728 0.0002986192994285375
    1.2.826.0.1.3680043.8.498.84191063197681879032669696485459997820 0.00026594402152113616 0.00016137892089318484 0.0003703515394590795 0.0005256767035461962 0.0005271226982586086 0.00016872028936631978 0.00020282459445297718 0.011027025990188122 0.0629982277750969 0.9481989145278931 0.00017235209816135466
    1.2.826.0.1.3680043.8.498.10797948616839922861838641045874440827 0.0005800828221254051 0.0005698779132217169 0.0009690119768492877 0.0012887490447610617 0.0009827334433794022 0.0012486509513109922 0.00038497732020914555 0.09770901501178741 0.13534244894981384 0.8280820846557617 0.0005270364927127957
    1.2.826.0.1.3680043.8.498.43944875566001422992457964144013228106 0.04530143365263939 0.3533307611942291 0.6731199622154236 0.05330866575241089 0.049690477550029755 0.301968514919281 0.10018016397953033 0.06765501201152802 0.24228958785533905 0.6213849782943726 0.001423150533810258
    1.2.826.0.1.3680043.8.498.99182611090030615241944367652777805703 0.00021786117576994002 0.00017842983652371913 0.0002311480202479288 0.00042558013228699565 0.00043113791616633534 5.8476231060922146e-05 0.0004784414195455611 0.008983105421066284 0.03003876283764839 0.9691070318222046 0.00013060988567303866
    1.2.826.0.1.3680043.8.498.12262778962682002725048186264120140549 0.0003030271618627012 0.0004282340523786843 0.001126545132137835 0.0018077032873407006 0.0005677940207533538 0.005944491364061832 0.00013659664546139538 0.027179693803191185 0.03147405385971069 0.943045973777771 0.0003867113555315882
    1.2.826.0.1.3680043.8.498.13166274228809577799683420627515690636 0.0003908535873051733 0.0005646409699693322 0.0004600818210747093 0.00039261276833713055 0.0005935771041549742 8.367431291844696e-05 0.0016224704449996352 0.08973044157028198 0.29437056183815 0.6532572507858276 0.0005024246638640761
    1.2.826.0.1.3680043.8.498.70177330790614858744576778101632801778 0.0007492138538509607 0.0008950992487370968 0.0018823627615347505 0.0027644585352391005 0.001677376450970769 0.004353718366473913 0.0007486993563361466 0.07680152356624603 0.30888882279396057 0.666115939617157 0.0009974504355341196
    1.2.826.0.1.3680043.8.498.24641136930096467169760392302420182106 0.0004353607655502856 0.000331827875925228 0.00029881380032747984 0.0007572736358270049 0.0010242016287520528 9.684923861641437e-05 0.0005651090177707374 0.03471992537379265 0.34462684392929077 0.6816887259483337 0.00037758005782961845
    1.2.826.0.1.3680043.8.498.55061423180852043798910580836828497806 0.003827344626188278 0.09592893719673157 0.900471031665802 0.029589056968688965 0.08373453468084335 0.1374252736568451 0.2400931417942047 0.03426685184240341 0.04786040633916855 0.8685855865478516 0.0005529811605811119
    1.2.826.0.1.3680043.8.498.42049693739164227438334828376301480884 0.0002892376505769789 0.0002251679979963228 0.0003446742193773389 0.0005158110288903117 0.0007550668087787926 4.97954388265498e-05 0.0004074453318025917 0.09099163115024567 0.3841681480407715 0.5092026591300964 0.0002764137170743197
    1.2.826.0.1.3680043.8.498.54990340098180418264283491343530106483 0.00029791187262162566 0.00029878265922889113 0.0003752279735635966 0.0005854328628629446 0.0005586928455159068 0.00014388302224688232 0.0003167063696309924 0.22543685138225555 0.540753960609436 0.21246977150440216 0.0003190208226442337
    1.2.826.0.1.3680043.8.498.11134576465208332014852730954326494889 0.001256753457710147 0.0022170008160173893 0.0026636216789484024 0.0030081081204116344 0.004826879128813744 0.0024896254763007164 0.009974868968129158 0.08452983945608139 0.5063890218734741 0.5771880745887756 0.0005562509759329259
    1.2.826.0.1.3680043.8.498.71748121289220079980829854832193674372 0.0005296057788655162 0.0006168609252199531 0.000829003460239619 0.0009321736288256943 0.0014307207893580198 8.57958584674634e-05 0.00259145675227046 0.22368164360523224 0.6031721234321594 0.21969270706176758 0.000459433242212981
    1.2.826.0.1.3680043.8.498.23045123831768682237744554193200962902 0.00015148971579037607 0.00010123006359208375 0.0001335474371444434 0.00032674934482201934 0.00037147346301935613 3.075889981118962e-05 8.538132533431053e-05 0.03751777857542038 0.1276966631412506 0.816088855266571 0.0001083310489775613
    1.2.826.0.1.3680043.8.498.64347764140301742682499477988533662632 0.000181169860297814 0.00017507396114524454 0.0002927246387116611 0.0003272620670031756 0.0003646208788268268 9.951533138519153e-05 0.000388918851967901 0.004622881766408682 0.03150611370801926 0.9754105806350708 8.006505959201604e-05
    1.2.826.0.1.3680043.8.498.10709083716803043197383336438598543174 0.000433051900472492 0.0004959162324666977 0.0003283539554104209 0.0006087449146434665 0.0006315689533948898 0.00015819843974895775 0.0009108486701734364 0.05040787532925606 0.14823247492313385 0.855420708656311 0.00025896832812577486
    1.2.826.0.1.3680043.8.498.28563096257110943169128470971025431339 0.00021374283824115992 0.0002623503387439996 0.0002523650764487684 0.00027160916943103075 0.000363541126716882 9.174263686873019e-05 0.000705988728441298 0.01775038242340088 0.05267757922410965 0.9422917366027832 0.0001489529386162758
    1.2.826.0.1.3680043.8.498.81017913244239067028296704439283382133 0.0006724873092025518 0.001334747183136642 0.0014895141357555985 0.0015682021621614695 0.0037760441191494465 0.0029303550254553556 0.013242760673165321 0.01868632435798645 0.08426212519407272 0.9640237092971802 0.0004773864056915045
    1.2.826.0.1.3680043.8.498.19553624925365605161423016230946271976 0.0007476895116269588 0.0007624297868460417 0.0011647462379187346 0.0014539449475705624 0.0011848704889416695 0.0006089383969083428 0.0007116739288903773 0.15248587727546692 0.5762082934379578 0.3722878396511078 0.0007889900589361787
    1.2.826.0.1.3680043.8.498.67535759799981339660864962718493184446 0.00020231064991094172 0.00021249926066957414 0.0001866280217655003 0.00022907760285306722 0.00029890757286921144 6.775802467018366e-05 0.0003167101531289518 0.015337927266955376 0.1354030817747116 0.9071786999702454 0.00017961701087187976
    1.2.826.0.1.3680043.8.498.74851140619428474887536756688768360578 0.0008730998379178345 0.001518583856523037 0.0036538795102387667 0.002271014731377363 0.0012540447060018778 0.0099706519395113 0.0016346886986866593 0.046910498291254044 0.09239436686038971 0.9360111951828003 0.3673786222934723
    1.2.826.0.1.3680043.8.498.91444883308854607740562889885297873451 0.00018529858789406717 0.00021607664530165493 0.0004190882609691471 0.0004384983330965042 0.000636798795312643 0.00013190167373977602 0.0005417036009021103 0.0034775533713400364 0.01165000256150961 0.9935067892074585 8.104796143015847e-05
    1.2.826.0.1.3680043.8.498.10372643768869828061106290009478611302 0.0011004700791090727 0.001886633224785328 0.0013953426387161016 0.001941349939443171 0.0026064813137054443 0.000609696377068758 0.01599065028131008 0.25085803866386414 0.39013391733169556 0.6609174013137817 0.013638481497764587
    1.2.826.0.1.3680043.8.498.11485304196121049203131910738295265110 0.04093630984425545 0.39059558510780334 0.3840073049068451 0.041436705738306046 0.08872560411691666 0.01496191043406725 0.4230400621891022 0.08446945250034332 0.4844141900539398 0.5917063355445862 0.0019137017661705613
    1.2.826.0.1.3680043.8.498.94244352115744548122965167584511325606 0.0002884314744733274 0.0005269333487376571 0.0004522848757915199 0.0004011934215668589 0.00047657982213422656 0.0001885160309029743 0.0006178913754411042 0.2816809415817261 0.7070438265800476 0.31841152906417847 0.0003178903425578028
    1.2.826.0.1.3680043.8.498.61912598169661859201224476537029413363 0.00032382330391556025 0.00033920331043191254 0.0009758291998878121 0.0013195041101425886 0.0005518804537132382 0.0016206761356443167 0.00020487478468567133 0.0331893190741539 0.04833777993917465 0.8905336260795593 0.0002509981277398765
    1.2.826.0.1.3680043.8.498.94846461236687636918495968517048590195 0.0057006711140275 0.04548056051135063 0.27521461248397827 0.02650592103600502 0.057849474251270294 0.23874858021736145 0.14515607059001923 0.030663039535284042 0.1469579041004181 0.8627103567123413 0.002501577138900757
    1.2.826.0.1.3680043.8.498.59717034053734317779818983389640953624 0.0002081055863527581 0.00015783462731633335 0.00020708912052214146 0.00046170162386260927 0.0003373367362655699 0.00021951536473352462 0.00011902859841939062 0.025288503617048264 0.039181340485811234 0.9566926956176758 0.00016953048179857433
    1.2.826.0.1.3680043.8.498.35996680353860524488490221144237885882 0.003206410212442279 0.004788344260305166 0.0036309082061052322 0.014204241335391998 0.05832178145647049 0.005954166408628225 0.8164079785346985 0.05537687987089157 0.28908032178878784 0.5807229280471802 0.0027535902336239815
    1.2.826.0.1.3680043.8.498.12644024149249402099609302418465617406 0.0001726431946735829 0.0001728405331959948 0.00018844244186766446 0.0002818017383106053 0.0002797315828502178 0.00028720745467580855 9.117111039813608e-05 0.04326046258211136 0.2133280336856842 0.8254040479660034 0.00019171876192558557
    1.2.826.0.1.3680043.8.498.33830875503379129202610282250545468052 0.0004114285984542221 0.00043759317486546934 0.0003460422158241272 0.0006050823722034693 0.0007622567936778069 0.0004785461351275444 0.0006135878502391279 0.056269992142915726 0.4312487244606018 0.5672675371170044 0.00033010158222168684
    1.2.826.0.1.3680043.8.498.37757266480458902226332937364268382445 0.002112099202349782 0.00364016299135983 0.0023711328394711018 0.0027901725843548775 0.00619038799777627 0.0019807491917163134 0.1033623218536377 0.16981220245361328 0.17867350578308105 0.7507292032241821 0.0013598230434581637
    1.2.826.0.1.3680043.8.498.11737661105271063918540562942258875873 0.00013238687824923545 0.0001571571920067072 0.00020875358313787729 0.00027727920678444207 0.00029402688960544765 0.00011321116471663117 0.0001286535698454827 0.007279395125806332 0.01942925527691841 0.9770061373710632 6.648267299169675e-05
    1.2.826.0.1.3680043.8.498.66561562974715951761679177764167721528 0.00021614410798065364 0.0002321511710761115 0.00027302312082611024 0.0003352387575432658 0.000430872110882774 0.00019145278201904148 0.0003587086102925241 0.05630573630332947 0.09963185340166092 0.8462079763412476 0.00024498600396327674
    1.2.826.0.1.3680043.8.498.93441810579093631227014620824335809334 0.000390705099562183 0.0003684476832859218 0.00034602751838974655 0.0005068451864644885 0.0008854454499669373 5.3966319683240727e-05 0.00067778246011585 0.04685960337519646 0.228743314743042 0.7174586653709412 0.0003381594433449209
    1.2.826.0.1.3680043.8.498.64338463489726494210193186164229634013 0.0002002214314416051 0.00047762025496922433 0.0007566189160570502 0.0010471559362486005 0.00015567730588372797 0.007646081503480673 4.737327617476694e-05 0.2978934049606323 0.4324118494987488 0.3145833909511566 0.00955394096672535
    1.2.826.0.1.3680043.8.498.18851980239135058636649719449800586242 0.000215916006709449 0.00014076381921768188 0.00013191842299420387 0.000389632536098361 0.0002922699204646051 0.0001626703015062958 0.00010900730558205396 0.027251621708273888 0.36686739325523376 0.6428394913673401 0.00018258696945849806
    1.2.826.0.1.3680043.8.498.28521477281473627704439924534525206773 0.0003739353851415217 0.00043336721137166023 0.0006184965604916215 0.0013564404798671603 0.00029517075745388865 0.00423562852665782 4.598546729539521e-05 0.11146511137485504 0.27233263850212097 0.7042830586433411 0.0008178341086022556
    1.2.826.0.1.3680043.8.498.25812998714325343089673096215461403540 0.00028682040283456445 0.00021856557577848434 0.00039448513416573405 0.0004837357846554369 0.0008066341397352517 9.039843280334026e-05 0.0002963513252325356 0.009476888924837112 0.06418316066265106 0.9145866632461548 0.00014370607095770538
    1.2.826.0.1.3680043.8.498.74586764032386374290358657924679447805 0.0003484669141471386 0.000279596250038594 0.0004383165796753019 0.0006539391470141709 0.0008962079882621765 0.000294839555863291 0.000268970470642671 0.01501686405390501 0.15996739268302917 0.8854244351387024 0.0002606658963486552
    1.2.826.0.1.3680043.8.498.10296778797358832897602909150043952563 0.00011145282769575715 0.00014205326442606747 0.00022359778813552111 0.00017704424681141973 0.0003176507889293134 5.023047560825944e-05 0.00019850760872941464 0.006508302874863148 0.04770473390817642 0.9611307382583618 6.338091043289751e-05
    1.2.826.0.1.3680043.8.498.14551310318697683872104248062583999596 0.00014495913637802005 0.00015987375809345394 0.00027162901824340224 0.0003508148656692356 0.0005018085357733071 3.342404306749813e-05 0.0005492076743394136 0.0029467293061316013 0.013537843711674213 0.9936882257461548 4.94098749186378e-05
    1.2.826.0.1.3680043.8.498.10301860603887622867230508003859730270 0.008356405422091484 0.14201989769935608 0.6582671999931335 0.014579340815544128 0.03600633144378662 0.17776325345039368 0.46536535024642944 0.08213887363672256 0.2013908177614212 0.5050713419914246 0.0015702552627772093
    1.2.826.0.1.3680043.8.498.39114301189281752163495425995282995584 0.00048142060404643416 0.00766556104645133 0.9637306332588196 0.024057263508439064 0.0090244235470891 0.8974428176879883 0.00709006329998374 0.07313873618841171 0.21017670631408691 0.6732534766197205 0.0009648090926930308
    1.2.826.0.1.3680043.8.498.53435709592515522096389203562896934218 0.000804704031907022 0.022980844601988792 0.9843155145645142 0.01416862290352583 0.020059047266840935 0.758423924446106 0.1392500102519989 0.033243000507354736 0.3549862504005432 0.9791851043701172 0.0037651981692761183
    1.2.826.0.1.3680043.8.498.24870427974265093639730936646463875057 0.000296961166895926 0.00027406643494032323 0.00029418329359032214 0.0005625109188258648 0.0007699140114709735 4.139663724345155e-05 0.0006148050888441503 0.13519985973834991 0.6260436177253723 0.4255770742893219 0.0002786846016533673
    1.2.826.0.1.3680043.8.498.47143075339525532502267608117023471397 0.0004225342418067157 0.0006039832951501012 0.002180964220315218 0.0009057708084583282 0.0013180996757000685 0.0008686360088177025 0.0009306369465775788 0.07344375550746918 0.2660498023033142 0.7174858450889587 0.0003098009037785232
    1.2.826.0.1.3680043.8.498.83811171966450251596772798689046110393 0.0038904957473278046 0.016524357721209526 0.029861923307180405 0.014215965755283833 0.013161620125174522 0.12415256351232529 0.010554281994700432 0.03169013932347298 0.08103172481060028 0.9671927690505981 0.0028765995521098375
    1.2.826.0.1.3680043.8.498.58217564607977757067551254255407602592 0.000394797942135483 0.0008092007483355701 0.0008488089661113918 0.0005121009889990091 0.0008992979419417679 0.00037796239485032856 0.0007848412496969104 0.0499156191945076 0.3208429217338562 0.8124165534973145 0.00037726113805547357
    1.2.826.0.1.3680043.8.498.12503079733506880672395531511785040258 0.0007287608459591866 0.0006686300621367991 0.0008368354174308479 0.0014206105843186378 0.0017682630568742752 0.0004205194709356874 0.0008083897409960628 0.017448946833610535 0.10697846114635468 0.8765522241592407 0.00043657212518155575
    1.2.826.0.1.3680043.8.498.98725288277874744497035115401624276178 0.00030117330607026815 0.0002915268705692142 0.0002931120980065316 0.0005744010559283197 0.0004371829272713512 0.0004154837806709111 0.00010403272608527914 0.015389312990009785 0.21898455917835236 0.811048686504364 0.0001959115033969283
    1.2.826.0.1.3680043.8.498.69218946792284164211919337334077628143 0.000504762982018292 0.0006484742043539882 0.0006503233453258872 0.0008703004568815231 0.0011301443446427584 0.0002576164260972291 0.0008619472500868142 0.5165099501609802 0.3422955870628357 0.16149942576885223 0.0005413508624769747
    1.2.826.0.1.3680043.8.498.77178326628513886479911088773119880732 0.0007167693111114204 0.0010894590523093939 0.003087081015110016 0.0022644163109362125 0.0017428878927603364 0.0006939443992450833 0.0006127598462626338 0.16501477360725403 0.27024707198143005 0.559039831161499 0.000771058548707515
    1.2.826.0.1.3680043.8.498.40655750129149851189862244959650238837 0.00015647549298591912 9.051537927007303e-05 0.0001971412420971319 0.00026726583018898964 0.0002519278204999864 8.156996045727283e-05 9.735229832585901e-05 0.017529722303152084 0.21512320637702942 0.8328863978385925 0.00013344678154680878
    1.2.826.0.1.3680043.8.498.85425051111210265960155600178487738660 0.013162484392523766 0.2425524741411209 0.1268654465675354 0.005200525745749474 0.023599468171596527 0.016850067302584648 0.969464898109436 0.1513923704624176 0.5017593502998352 0.6512943506240845 0.009026086889207363
    1.2.826.0.1.3680043.8.498.10676755572941258933643745449508349665 0.00019249142496846616 0.0002013978810282424 0.00020647110068239272 0.00036281219217926264 0.00048671645345166326 3.239101351937279e-05 0.00039970307261683047 0.09885929524898529 0.72313392162323 0.3482094407081604 0.0002531283244024962
    1.2.826.0.1.3680043.8.498.71239589728975743737793190140999036689 0.0002079690166283399 0.00013340120494831353 0.00013261973799671978 0.0003017772105522454 0.00031704906723462045 5.217754369368777e-05 9.687291458249092e-05 0.019589580595493317 0.3431743085384369 0.656163215637207 0.0001948908029589802
    1.2.826.0.1.3680043.8.498.90706900023862163764360462568723671920 0.0006018797867000103 0.000573695870116353 0.000874698453117162 0.0020131482742726803 0.0028931410051882267 0.0003297749790363014 0.0016830936074256897 0.009278242476284504 0.03608401119709015 0.9655593633651733 0.00032670862856321037
    1.2.826.0.1.3680043.8.498.10135080769645644428074679200013722311 0.00013127191050443798 0.00021708318672608584 0.0002176835696445778 0.00023763161152601242 0.00024070203653536737 1.4984454537625425e-05 0.0009720323723740876 0.012283452786505222 0.043871618807315826 0.9598466753959656 8.507793245371431e-05
    1.2.826.0.1.3680043.8.498.82567018128261205674917612446318736513 0.0004250470083206892 0.0004325793997850269 0.0007905367529019713 0.0015655715251341462 0.001217622309923172 0.002297659870237112 0.0004950245493091643 0.00892111100256443 0.01324005238711834 0.9844342470169067 0.00015819647524040192
    1.2.826.0.1.3680043.8.498.10710298304987762310431722737173960861 0.00021789237507618964 0.00014608996571041644 0.0001352023537037894 0.0003418324049562216 0.00022518725018016994 0.0002602331223897636 7.561741949757561e-05 0.12537595629692078 0.47776374220848083 0.3731854259967804 0.0003239366924390197
    1.2.826.0.1.3680043.8.498.25645380878865112273974025657212596819 0.0004306760092731565 0.00027986866189166903 0.00034592815791256726 0.0008660999010317028 0.0013898486504331231 0.0001846076047513634 0.000826891977339983 0.01112617552280426 0.10959134995937347 0.9388615489006042 0.00036898849066346884
    1.2.826.0.1.3680043.8.498.49859307101976546565464157815663539502 0.00010226647282252088 0.0001419824839103967 0.00019494467414915562 0.00028270913753658533 0.00011644403275568038 0.0002225763601018116 4.673435614677146e-05 0.009419840760529041 0.010500863194465637 0.9899346232414246 5.12587430421263e-05
    1.2.826.0.1.3680043.8.498.22615540743119024813962575925353330073 0.0037931823171675205 0.031086232513189316 0.05366848036646843 0.003013294655829668 0.015503627248108387 0.0025673392228782177 0.20994623005390167 0.0795132964849472 0.3277943432331085 0.6998504400253296 0.0014464225387200713
    1.2.826.0.1.3680043.8.498.10414795662999298321246342646353139592 0.00023368556867353618 0.00017338535690214485 0.00027086419868282974 0.00046444180770777166 0.0004279347194824368 0.00010784143523778766 0.00016888495883904397 0.005032440181821585 0.12192672491073608 0.9293892979621887 0.00014532197383232415
    1.2.826.0.1.3680043.8.498.12827821158190299864722317456055681853 0.00020163743465673178 0.0001812343398341909 0.0002878661616705358 0.0003909762017428875 0.0005797434132546186 8.935848018154502e-05 0.0003141009365208447 0.0055606430396437645 0.015668386593461037 0.9874212145805359 8.685233478900045e-05
    1.2.826.0.1.3680043.8.498.56381139255261836039204705471831814253 0.00021057687990833074 0.0002149388601537794 0.00036054421798326075 0.00027037152904085815 0.00042966281762346625 5.082854113425128e-05 0.00023780635092407465 0.026710014790296555 0.23702938854694366 0.8281354904174805 0.00014455901691690087
    1.2.826.0.1.3680043.8.498.94586211830236041224165519304830360132 0.0005243282066658139 0.00042697889148257673 0.00044834677828475833 0.0010970538714900613 0.0017998708644881845 0.00017921724065672606 0.0008277557790279388 0.04264872893691063 0.6991766095161438 0.3436024785041809 0.0006747444858774543
    1.2.826.0.1.3680043.8.498.13082555732264321799506862107019731911 0.00023669106303714216 0.00029512535547837615 0.0003131193807348609 0.0003633145825006068 0.000684917438775301 7.011871639406309e-05 0.0008288008393719792 0.01771591790020466 0.1819647252559662 0.8254424333572388 0.0001417926832800731
    1.2.826.0.1.3680043.8.498.99103119220654069674581038260236079506 0.0006730978493578732 0.0010388833470642567 0.000992054003290832 0.00123789778444916 0.0018818338867276907 0.0002550203644204885 0.001089808763936162 0.07320335507392883 0.42460909485816956 0.6529881358146667 0.0006050135125406086
    1.2.826.0.1.3680043.8.498.11149306385520188038806929322670309071 0.00018668182019609958 0.00019676699594128877 0.0005142530426383018 0.0005602982128039002 0.00041585680446587503 0.0001367513177683577 0.00012419759877957404 0.012543914839625359 0.15471498668193817 0.8936041593551636 0.00013275390665512532
    1.2.826.0.1.3680043.8.498.58577351171707288860728778415733232093 0.001346393022686243 0.02603323385119438 0.8728006482124329 0.025463441386818886 0.026475125923752785 0.5902397036552429 0.019994262605905533 0.021513110026717186 0.09149005264043808 0.8994140625 0.002059001475572586
    1.2.826.0.1.3680043.8.498.69201857205950728220345227024642760685 0.0003234581963624805 0.00023950604372657835 0.0003938823938369751 0.0008094102959148586 0.0013017746387049556 0.00011403807729948312 0.0006326665752567351 0.007210002280771732 0.026084840297698975 0.9832687377929688 0.00017504169954918325
    1.2.826.0.1.3680043.8.498.22906263354927290141231703839051028550 0.00045639585005119443 0.0017304165521636605 0.0012411538045853376 0.0012122590560466051 0.001270166365429759 0.00017522595589980483 0.0031099626794457436 0.05479763075709343 0.2585592269897461 0.8867515325546265 0.0003614717279560864
    1.2.826.0.1.3680043.8.498.11740336650315318642228440626682169543 0.00026796903694048524 0.00028832274256274104 0.0005491757183335721 0.0010158498771488667 0.0006356555968523026 0.00039446918526664376 0.0003722803376149386 0.14968089759349823 0.45660823583602905 0.4940309524536133 0.001136177801527083
    1.2.826.0.1.3680043.8.498.20148301664151898450655369385793590673 0.01553161721676588 0.32180896401405334 0.666510283946991 0.025151779875159264 0.03591758385300636 0.04762958735227585 0.16968858242034912 0.185367152094841 0.33597490191459656 0.3784700632095337 0.015643225982785225
    1.2.826.0.1.3680043.8.498.11017428662315359504121675860804016463 0.0015769011806696653 0.0015024852473288774 0.001584799261763692 0.004231716506183147 0.0030514041427522898 0.002426751423627138 0.0016600427916273475 0.030869241803884506 0.19673165678977966 0.8647079467773438 0.001369063975289464
    1.2.826.0.1.3680043.8.498.12397054182648888441687652984361253376 0.00032851239666342735 0.00023423651873599738 0.00046365451999008656 0.0007826765067875385 0.0008472303743474185 0.0003369670012034476 0.0003026472986675799 0.0146045982837677 0.06051201745867729 0.9301130175590515 0.000274708669167012
    1.2.826.0.1.3680043.8.498.62800553177994374366318155804587717444 0.00016635385691188276 0.00012840387353207916 0.00014801454381085932 0.00028383551398292184 0.00025231181643903255 9.346404112875462e-05 0.0001297902053920552 0.06777684390544891 0.4107907712459564 0.7428588271141052 0.0002021316613536328
    1.2.826.0.1.3680043.8.498.41011142136473744412015435619400593745 0.003155972110107541 0.0021585836075246334 0.0017785185482352972 0.018192391842603683 0.10458161681890488 0.03827141970396042 0.5413095355033875 0.02407011017203331 0.12303602695465088 0.9228483438491821 0.0018013697117567062
    1.2.826.0.1.3680043.8.498.11338103808702990947627800670631774774 0.0010300586000084877 0.0021591142285615206 0.0014788225525990129 0.0013060063356533647 0.002226798329502344 0.00014433919568546116 0.0054110451601445675 0.4334202706813812 0.44833850860595703 0.20780377089977264 0.0009433844825252891
    1.2.826.0.1.3680043.8.498.13075462264927725553959653224976392113 0.0018721710657700896 0.003400300396606326 0.005252524744719267 0.0038293967954814434 0.006738315336406231 0.0007692199433222413 0.019142739474773407 0.45712223649024963 0.5418338775634766 0.17866215109825134 0.0025736796669662
    1.2.826.0.1.3680043.8.498.92621294907847464325171160057292888925 0.00047248793998733163 0.0005231440882198513 0.0006945786299183965 0.0006200874340720475 0.0009484995389357209 0.00029800020274706185 0.0006467736675404012 0.13594159483909607 0.2803797721862793 0.4876684248447418 0.00039927606121636927
    1.2.826.0.1.3680043.8.498.83344863312459493419238692606781415870 0.000508791534230113 0.0005343246157281101 0.0006361546111293137 0.0012096536811441183 0.0010297381086274981 0.0005497521487995982 0.0007644962752237916 0.014738473109900951 0.03257342055439949 0.9725862741470337 0.00021601805929094553
    1.2.826.0.1.3680043.8.498.26910839157762699317575531120579719920 0.0016835298156365752 0.0017327277455478907 0.0025747509207576513 0.0041717481799423695 0.004992428235709667 0.0026340926997363567 0.002609149320051074 0.3489314019680023 0.5091174244880676 0.307522177696228 0.0014920274261385202
    1.2.826.0.1.3680043.8.498.10460893348497326894684280567131212140 0.00016713517834432423 0.00013107122504152358 0.00015518353029619902 0.00023327193048316985 0.00023108572349883616 8.160054858308285e-05 9.906507330015302e-05 0.06972004473209381 0.07026871293783188 0.8868799209594727 0.00013955961912870407
    1.2.826.0.1.3680043.8.498.66133006631238961212853067607223529955 0.00013242570275906473 0.000149789935676381 0.0004511447041295469 0.0007419529720209539 0.00020446702546905726 0.0015574435237795115 4.573212208924815e-05 0.008516768924891949 0.02889593504369259 0.9778288006782532 0.00016608678561169654
    1.2.826.0.1.3680043.8.498.12507128149799704764950688376478217799 0.004138237796723843 0.0070585645735263824 0.006760812364518642 0.009572906419634819 0.010604433715343475 0.002688150852918625 0.0313936248421669 0.3580065965652466 0.5131982564926147 0.42153748869895935 0.04172040894627571
    1.2.826.0.1.3680043.8.498.11139009784189200566052313463412941416 0.0002449314051773399 0.000182916279300116 0.00022654933854937553 0.00041960467933677137 0.00038106419378891587 0.0003629048587754369 0.00013629774912260473 0.019676247611641884 0.09754842519760132 0.8908547163009644 0.00019192459876649082
    1.2.826.0.1.3680043.8.498.93067066662008432566340379871412120796 0.00026374292792752385 0.00023740981123410165 0.0004040478670503944 0.0004971662419848144 0.000616899982560426 9.569607937010005e-05 0.0003465267946012318 0.010924434289336205 0.21577373147010803 0.8316976428031921 0.0002027501177508384
    1.2.826.0.1.3680043.8.498.15413804785909427803556572522554799891 0.0002981028228532523 0.0003916722198482603 0.00038100979872979224 0.0011726272059604526 0.00019203725969418883 0.002062233630567789 4.309805080993101e-05 0.1303863227367401 0.5844553709030151 0.2622781991958618 0.0002935819502454251
    1.2.826.0.1.3680043.8.498.82433462706952902023094693950312186620 0.00046199365169741213 0.0025261046830564737 0.9723464250564575 0.007841884158551693 0.037410371005535126 0.010680919513106346 0.03271529823541641 0.02606901153922081 0.09121890366077423 0.8757402300834656 0.0003084239433519542
    1.2.826.0.1.3680043.8.498.87522310416767041885245985875458409874 0.00025005306815728545 0.00015193915169220418 0.00013430100807454437 0.0004993185866624117 0.00026621425058692694 0.00035699232830666006 5.060956027591601e-05 0.47058171033859253 0.3645421862602234 0.21159188449382782 0.00028302252758294344
    1.2.826.0.1.3680043.8.498.11890828750230250652735072370003017361 0.00022793510288465768 0.00018481456208974123 0.00020895045599900186 0.0004413768765516579 0.00046476637362502515 5.1915332733187824e-05 0.0002145863400073722 0.08190447837114334 0.3661743998527527 0.7066623568534851 0.0002491077466402203
    1.2.826.0.1.3680043.8.498.66781589793398073031195181922101940915 0.00033152400283142924 0.0002707121311686933 0.00024748005671426654 0.0007259665289893746 0.00045786029659211636 0.00032395884045399725 0.00019480352057144046 0.19491876661777496 0.138474240899086 0.7487945556640625 0.00029425910906866193
    1.2.826.0.1.3680043.8.498.85346598534599164011849638340711907005 0.0005590921500697732 0.0005677933222614229 0.00038644467713311315 0.0006136990850791335 0.000741691212169826 0.00012305265408940613 0.0005311704007908702 0.07767418026924133 0.22060588002204895 0.742468535900116 0.0004793084808625281
    1.2.826.0.1.3680043.8.498.94009808634248628793719062544058693655 9.385508019477129e-05 6.564749492099509e-05 6.710299203405157e-05 0.00012121815234422684 9.731649333843961e-05 4.807607183465734e-05 3.279379598097876e-05 0.008484060876071453 0.1867353618144989 0.8161376118659973 7.0594935095869e-05
    1.2.826.0.1.3680043.8.498.19933337139868503485231723218377996593 0.00016697822138667107 9.4900096883066e-05 0.00014242548786569387 0.0004436894378159195 0.0002475958317518234 0.0002106033789459616 0.00010561205999692902 0.01046341098845005 0.05328322574496269 0.9376245737075806 0.00012805599544662982
    1.2.826.0.1.3680043.8.498.34362359595068814782636194539553674633 0.00025162225938402116 0.0002101126592606306 0.00023171112115960568 0.00036221585469320416 0.0005919248796999454 5.0647457101149485e-05 0.00040536816231906414 0.019741453230381012 0.14928212761878967 0.8562359809875488 0.00020099294488318264
    1.2.826.0.1.3680043.8.498.67877715609313957391661300229680008104 0.00048302271170541644 0.0005145315662957728 0.000734910718165338 0.0012966194190084934 0.0007680660346522927 0.001099132001399994 0.00032691366504877806 0.09366263449192047 0.5239741206169128 0.42898765206336975 0.0006216758629307151
    1.2.826.0.1.3680043.8.498.44465830216993442898126996884647204834 0.00019317507394589484 0.00024015360395424068 0.00037096042069606483 0.0005848627770319581 0.0002450749452691525 0.0015442908043041825 5.75404628762044e-05 0.021429408341646194 0.5121104121208191 0.5741111040115356 0.00028820172883570194
    1.2.826.0.1.3680043.8.498.10617401462684186102631962226060530358 0.0010073925368487835 0.0021456812974065542 0.010875897482037544 0.002758898539468646 0.004252900369465351 0.01596609689295292 0.009821005165576935 0.05532670021057129 0.2057465761899948 0.8328821063041687 0.8279457092285156
    1.2.826.0.1.3680043.8.498.89264406188065021705326908837521150897 0.00031493508140556514 0.0002776903274934739 0.0003081315662711859 0.0005845014820806682 0.0006780793773941696 8.820628863759339e-05 0.00026283349143341184 0.017451200634241104 0.16014690697193146 0.8963642120361328 0.00020023345132358372
    1.2.826.0.1.3680043.8.498.87588528959241382321260871894715821347 0.00015203075599856675 0.00013879904872737825 0.00012191598943900317 0.00015470957441721112 0.00034417500137351453 1.3069322449155152e-05 0.0022781940642744303 0.022442951798439026 0.5104994773864746 0.6160686016082764 0.0001404598297085613
    1.2.826.0.1.3680043.8.498.51685979041083005590784385425425729509 0.0003914537373930216 0.0007959342328831553 0.0008667657966725528 0.000542806345038116 0.0005173139506950974 0.00020595041860360652 0.039416659623384476 0.04675165191292763 0.17121219635009766 0.799099862575531 0.000345470238244161
    1.2.826.0.1.3680043.8.498.63969595813974038509833917709737730437 0.00020416898769326508 0.00025397006538696587 0.00028342605219222605 0.0004239356203470379 0.0004190377949271351 0.0001955044863279909 0.00013947872503194958 0.007346545811742544 0.017686109989881516 0.9757299423217773 8.651257667224854e-05
    1.2.826.0.1.3680043.8.498.82755920167398171316558031684349158953 0.00020746672817040235 0.00023319041065406054 0.00028254298376850784 0.00042771355947479606 0.0003699369844980538 0.00013516159378923476 0.00022344512399286032 0.015467827208340168 0.2980442941188812 0.823326587677002 0.00018672688747756183
    1.2.826.0.1.3680043.8.498.33088217882252237501495919268537500880 0.0011690600076690316 0.0014655431732535362 0.0022743488661944866 0.002895411103963852 0.002957383170723915 0.0006822741124778986 0.01221149880439043 0.024243047460913658 0.18329080939292908 0.8816686868667603 0.0011288139503449202
    1.2.826.0.1.3680043.8.498.51908402802788797593616375658917484798 0.0030130085069686174 0.02712268754839897 0.9702386856079102 0.03570369631052017 0.11236891895532608 0.3126290738582611 0.4019258916378021 0.15762831270694733 0.3163454532623291 0.7183805108070374 0.006013206206262112
    1.2.826.0.1.3680043.8.498.10034935188044017597098241718154514264 0.0002975817187689245 0.00013939218479208648 0.00023753922141622752 0.0007266221800819039 0.00042052887147292495 0.0003604369121603668 8.513844659319147e-05 0.021434597671031952 0.13672728836536407 0.8491880297660828 0.0002638171426951885
    1.2.826.0.1.3680043.8.498.46647771104465603585671899978457246822 0.0002510435879230499 0.00026646253536455333 0.000602494168560952 0.0005509787588380277 0.0009017674019560218 4.02369441871997e-05 0.002450475236400962 0.005163312423974276 0.012690341100096703 0.983559250831604 0.00011704221833497286
    1.2.826.0.1.3680043.8.498.63478259681450080380649161146256614603 9.773083729669452e-05 0.00010316341649740934 0.00020915902859997004 0.0005325504462234676 0.00016894044529180974 0.0004284827155061066 3.164378722431138e-05 0.006088209338486195 0.01709595136344433 0.9912834167480469 5.809184949612245e-05
    1.2.826.0.1.3680043.8.498.83177092196087189173544238174011501602 0.000409842177759856 0.00032791768899187446 0.0005580708966590464 0.0008602732559666038 0.0013060257770121098 0.00014844030374661088 0.0006067032227292657 0.008556226268410683 0.05068802833557129 0.9445662498474121 0.00022007388179190457
    1.2.826.0.1.3680043.8.498.93446923007229994057134835485804933798 0.000344952626619488 0.0002329035196453333 0.0003309097664896399 0.0004414363647811115 0.0007297975826077163 0.00012476473057176918 0.00028645090060308576 0.016585474833846092 0.10730524361133575 0.87427818775177 0.00024536618730053306
    1.2.826.0.1.3680043.8.498.60023975700312137751897451431067927245 0.000192045554285869 0.00020506938744802028 0.00019363148021511734 0.0003202286607120186 0.0002929412294179201 0.0002197185531258583 0.000100464400020428 0.00964965857565403 0.07185548543930054 0.9428033828735352 0.000130059925140813
    1.2.826.0.1.3680043.8.498.71690325816215652329727914362887119400 0.00020991750352550298 0.00022143960813991725 0.00024694736930541694 0.0004032375290989876 0.000543362635653466 2.1440080672618933e-05 0.0004369243106339127 0.009050806052982807 0.08017826080322266 0.9318732023239136 0.00011210241063963622
    1.2.826.0.1.3680043.8.498.87184852508407837987377561836685395518 0.0005195254343561828 0.000441539945313707 0.000494528969284147 0.0010505878599360585 0.0008231449755840003 0.0010471505811437964 0.0002856279897969216 0.11630381643772125 0.24396173655986786 0.618762195110321 0.00036931701470166445
    1.2.826.0.1.3680043.8.498.29308801014388669961791540532976161970 0.0005335005698725581 0.0004390476387925446 0.0007518731290474534 0.0015388841275125742 0.0016331886872649193 0.00028620922239497304 0.0011171229416504502 0.007565700449049473 0.09523622691631317 0.9258224368095398 0.00039602405740879476
    1.2.826.0.1.3680043.8.498.87027587689749975559765516219101061475 0.004299587570130825 0.0649711862206459 0.054527949541807175 0.00268287630751729 0.01248285360634327 0.0032161392737179995 0.9870564341545105 0.22889773547649384 0.5188897252082825 0.1538173407316208 0.001242969068698585
    1.2.826.0.1.3680043.8.498.10617563832223901670603174809189049551 0.00048274523578584194 0.000365313928341493 0.000307046138914302 0.0006175544112920761 0.0005579040152952075 0.00031964914523996413 0.0005819449434056878 0.38981789350509644 0.348970890045166 0.295823872089386 0.0005156437400728464
    1.2.826.0.1.3680043.8.498.90700747064217454951815353931355759813 0.00032820325577631593 0.0004306341870687902 0.00033329208963550627 0.0007501741638407111 0.00028801136068068445 0.0012073288671672344 8.288440585602075e-05 0.0472288616001606 0.5552669763565063 0.5994317531585693 0.0004480350762605667
    1.2.826.0.1.3680043.8.498.14968848131321851539925275951381699991 0.0002776596520561725 0.00021201345953159034 0.00044049890129826963 0.00048031643382273614 0.000603928288910538 9.36752330744639e-05 0.00036212935810908675 0.023512834683060646 0.14337438344955444 0.8307039141654968 0.00021343522530514747
    1.2.826.0.1.3680043.8.498.94993166348213024099195564063633873744 0.012033413164317608 0.20392870903015137 0.5057653188705444 0.01053265668451786 0.03643281012773514 0.15786989033222198 0.7431988716125488 0.044697921723127365 0.1722545176744461 0.8104981184005737 0.0033392012119293213
    1.2.826.0.1.3680043.8.498.21411456095052650141230759237586044984 0.00047485288814641535 0.0006989618414081633 0.0010653663193807006 0.0006277402280829847 0.0011224547633901238 0.0005508202011696994 0.0009484449401497841 0.07247665524482727 0.3314536511898041 0.6784430742263794 0.00034056417644023895
    1.2.826.0.1.3680043.8.498.18487210024005548538844986854166855478 0.00022152015299070626 0.00045135244727134705 0.0003387079341337085 0.00014809951244387776 0.00024999375455081463 0.00014895231288392097 0.003872862784191966 0.09376092255115509 0.5182018876075745 0.5104212164878845 0.0005462794797495008
    1.2.826.0.1.3680043.8.498.18670390645717851877986580971231091517 0.013995413668453693 0.2812656760215759 0.6769541501998901 0.029910162091255188 0.03408136963844299 0.005155317485332489 0.29468539357185364 0.11287375539541245 0.28203266859054565 0.26231881976127625 0.0015436476096510887
    1.2.826.0.1.3680043.8.498.14891824216756357339196787267756168299 0.00030705684912391007 0.0006625682581216097 0.0007390486425720155 0.0002247873053420335 0.0003576691378839314 0.00011486279254313558 0.005283546634018421 0.10396720468997955 0.4069240093231201 0.5983706712722778 0.0004909105482511222
    1.2.826.0.1.3680043.8.498.71960290280541868079160062053460816312 0.0003687826101668179 0.000594216282479465 0.0012051924131810665 0.0023472043685615063 0.0005574895767495036 0.007955815643072128 0.00015919702127575874 0.05076733976602554 0.19052237272262573 0.9259608387947083 0.0010360607411712408
    1.2.826.0.1.3680043.8.498.41515544367513420711259572867624707760 0.0008245607023127377 0.0010303230956196785 0.0012615181040018797 0.002162488643079996 0.0018462680745869875 0.0012165033258497715 0.0027102497406303883 0.10874330997467041 0.17014333605766296 0.7734820246696472 0.0017702970653772354
    1.2.826.0.1.3680043.8.498.67311440717784346054440766646185101249 0.0007858903263695538 0.01733976975083351 0.9694504737854004 0.003498374717310071 0.028398890048265457 0.09453431516885757 0.934518039226532 0.06430192291736603 0.24491719901561737 0.7991930246353149 0.0009887999622151256
    1.2.826.0.1.3680043.8.498.38719859272058898994792742732363335072 0.00021401900448836386 0.0001752643147483468 0.0003169046249240637 0.0005035541253164411 0.0005785829271189868 0.0002269596589030698 0.00023845485702622682 0.011103704571723938 0.032000649720430374 0.9710057377815247 0.00011616848496487364
    1.2.826.0.1.3680043.8.498.10640739808354288204047606923718874223 0.00024062251031864434 0.00024453882360830903 0.00041746225906535983 0.0004972919705323875 0.0006921427557244897 0.00014637997082900256 0.0004553734324872494 0.009005019441246986 0.02716847136616707 0.9637778997421265 0.00010364597983425483
    1.2.826.0.1.3680043.8.498.52137327015582529928835704501666881146 0.00021156230650376529 0.00016368298383895308 0.0001671297213761136 0.000336317258188501 0.0003121348563581705 0.00022682160488329828 9.904299804475158e-05 0.012621387839317322 0.0699397549033165 0.9135039448738098 0.00013545788533519953
    1.2.826.0.1.3680043.8.498.20421771758058260271597165225653647607 0.00020853806927334517 0.00016338298155460507 0.00017009934526868165 0.0003343772259540856 0.000446350866695866 7.413782441290095e-05 0.00024283761740662158 0.03547331318259239 0.6293075680732727 0.4612277150154114 0.000259954045759514
    1.2.826.0.1.3680043.8.498.25502740084753846072894290905963720893 0.0013904733350500464 0.029496794566512108 0.951350212097168 0.011641662567853928 0.08455972373485565 0.007260357029736042 0.5410471558570862 0.023186102509498596 0.042544640600681305 0.9588198661804199 0.0003677888307720423
    1.2.826.0.1.3680043.8.498.80061909777373443306906363331356241578 8.494510257150978e-05 0.00025816159904934466 0.0008617985877208412 0.0005174887483008206 9.015742398332804e-05 0.0032785912044346333 2.216644679720048e-05 0.008350920863449574 0.027971137315034866 0.9845806956291199 0.00019237582455389202
    1.2.826.0.1.3680043.8.498.11317040076775967802162981497130182773 0.0007580549572594464 0.0005764607922174037 0.0006949346279725432 0.0009387278696522117 0.001583240577019751 0.00014642855967395008 0.0018916565459221601 0.03798418492078781 0.2128993570804596 0.7588542699813843 0.000601808016654104
    1.2.826.0.1.3680043.8.498.12593774699177360974020570523506164235 0.00035405519884079695 0.0002975068346131593 0.0005539306439459324 0.0005190478987060487 0.000700791017152369 5.849259832757525e-05 0.0009565103682689369 0.02363711968064308 0.1566215604543686 0.8194915652275085 0.00023281594621948898
    1.2.826.0.1.3680043.8.498.35573352721189436629235778056901848251 0.00042623019544407725 0.00037854362744838 0.00030605035135522485 0.0006336708320304751 0.0008267087978310883 0.0001275146787520498 0.0005646956851705909 0.028870712965726852 0.1462196707725525 0.8958481550216675 0.00030048785265535116
    1.2.826.0.1.3680043.8.498.13032364595921638263076318720942329779 0.0008309056283906102 0.002027943031862378 0.004984189756214619 0.002501905430108309 0.002260210458189249 0.004580831620842218 0.024690954014658928 0.017812084406614304 0.18579718470573425 0.932477593421936 0.0009761640685610473
    1.2.826.0.1.3680043.8.498.14764365163594763921578543953377920398 0.00013453239807859063 0.00019434229761827737 0.00023509457241743803 0.0002621091261971742 0.00021722805104218423 0.0003889418439939618 9.444290481042117e-05 0.006899326108396053 0.05224742740392685 0.9632633924484253 7.364058546954766e-05
    1.2.826.0.1.3680043.8.498.17431788527523768487351466416590584922 0.0002966767642647028 0.00033257208997383714 0.0009772016201168299 0.0006971660768613219 0.0009820410050451756 0.0001882166980067268 0.0009379151160828769 0.006747140549123287 0.05730702355504036 0.9619747996330261 0.00018921642913483083
    1.2.826.0.1.3680043.8.498.12421393438466404503382303925952068050 0.0030520898289978504 0.01311445701867342 0.012721540406346321 0.00415515061467886 0.010776428505778313 0.0012792926281690598 0.019759440794587135 0.4355517327785492 0.20556247234344482 0.29003483057022095 0.0014760507037863135
    1.2.826.0.1.3680043.8.498.89297823971688526668713845414562568485 0.0006049133953638375 0.0012232642620801926 0.0017396280309185386 0.0009785173460841179 0.0011124999728053808 0.001427512033842504 0.00214903405867517 0.3857346177101135 0.5788191556930542 0.4387340545654297 0.0008554328233003616
    1.2.826.0.1.3680043.8.498.12126834418646094795360264128064654175 0.000241987916524522 0.00020147193572483957 0.0002793075982481241 0.00028921780176460743 0.0004123807302676141 0.0001270232896786183 0.0003097308217547834 0.015736173838377 0.08556535840034485 0.9276762008666992 0.00014233961701393127
    1.2.826.0.1.3680043.8.498.11435667151305009926139083472595476987 0.00012566513032652438 0.0002184994227718562 0.0004382345359772444 0.00017267916700802743 0.00026877032360062003 0.00021215947344899178 0.0012293090112507343 0.028001055121421814 0.38570302724838257 0.7690282464027405 0.00018365998403169215
    1.2.826.0.1.3680043.8.498.56844087814464360991475512499387622498 0.0002456798101775348 0.0003665774711407721 0.00035801148624159396 0.0005865772254765034 0.00013392102846410125 0.0014360803179442883 3.0781051464146e-05 0.24585361778736115 0.5082122087478638 0.30632907152175903 0.0005475085927173495
    1.2.826.0.1.3680043.8.498.22890854322681797482293228643162848537 0.00013022149505559355 8.269646787084639e-05 0.00014135841047391295 0.000190446968190372 0.00023559830151498318 3.894633846357465e-05 0.00022191328753251582 0.011659595184028149 0.05863393098115921 0.9190829992294312 7.63280622777529e-05
    1.2.826.0.1.3680043.8.498.61788099506648888349038770896296624266 0.0004924872773699462 0.000770204234868288 0.0005674188723787665 0.0006153398426249623 0.0008417971548624337 7.81193666625768e-05 0.0017266779905185103 0.3710390329360962 0.17069382965564728 0.594195544719696 0.0005952089559286833
    1.2.826.0.1.3680043.8.498.90993952423180918624456272449523512131 0.0004003231879323721 0.00035756599390879273 0.0002662206534296274 0.0006389076006598771 0.0007873427239246666 0.00011516137601574883 0.0008577301050536335 0.022738872095942497 0.02584410272538662 0.9669113159179688 0.0002326621615793556
    1.2.826.0.1.3680043.8.498.11459961378201475580255051993741258678 0.0042200842872262 0.0836925208568573 0.8972821235656738 0.03963328152894974 0.047224439680576324 0.6538305282592773 0.07376889884471893 0.03654345124959946 0.18248745799064636 0.568949818611145 0.0012062073219567537
    1.2.826.0.1.3680043.8.498.91711563337937530990044249780388709588 0.006138360593467951 0.14012980461120605 0.8534588813781738 0.015275371260941029 0.07190198451280594 0.008364642038941383 0.5894055366516113 0.18353267014026642 0.514054536819458 0.5226967930793762 0.0012442974839359522
    1.2.826.0.1.3680043.8.498.57848801272984769216323138343055270026 0.0010252159554511309 0.021094048395752907 0.9790412783622742 0.011494440026581287 0.07086250931024551 0.02451634407043457 0.5087965130805969 0.030069243162870407 0.15312226116657257 0.8789251446723938 0.0006983024068176746
    1.2.826.0.1.3680043.8.498.11624713497454508353933899605333084362 0.00012854149099439383 0.00013640477845910937 0.0003153599100187421 0.0004007533716503531 0.00022113570594228804 0.00028088927501812577 7.16277354513295e-05 0.007180401589721441 0.010610811412334442 0.9886913299560547 6.390669295797125e-05
    1.2.826.0.1.3680043.8.498.65524100622481898745740905881359745838 0.0003635699104052037 0.0005244843778200448 0.0007176275248639286 0.0006455654511228204 0.0009212747099809349 0.0005928438040427864 0.0004414352006278932 0.01688103750348091 0.5108832716941833 0.6204646229743958 0.00028419672162272036
    1.2.826.0.1.3680043.8.498.86546542101788065218989744935120470021 0.00012427459296304733 0.00010424092033645138 0.00014300861221272498 0.0002182485768571496 0.0001754066615831107 0.00013724618474952877 7.024993101367727e-05 0.024243302643299103 0.16444070637226105 0.824816882610321 0.00010484883387107402
    1.2.826.0.1.3680043.8.498.89359575564722208981612344618638274681 0.0007058201590552926 0.0006364310393109918 0.0013814442791044712 0.004397536627948284 0.0033264525700360537 0.025446632876992226 0.00386778824031353 0.02195231430232525 0.04359232634305954 0.9696986079216003 0.0005172245437279344
    1.2.826.0.1.3680043.8.498.87502341820157659032258386266628160044 0.00023552328639198095 0.00022599639487452805 0.00032080785604193807 0.0004331962554715574 0.0004943218664266169 5.9897654864471406e-05 0.00022644750424660742 0.017176048830151558 0.04082002863287926 0.9582788348197937 0.00011078552051912993
    1.2.826.0.1.3680043.8.498.59917179341451717755046351999020863654 0.000259593827649951 0.00019289233023300767 0.00018040239228866994 0.00031319487607106566 0.000395168928662315 3.826131433015689e-05 0.0004046890535391867 0.05311958119273186 0.28604787588119507 0.6098424196243286 0.0002562698209658265
    1.2.826.0.1.3680043.8.498.92043882936229935393818616976539757143 9.67562009464018e-05 4.3079104216303676e-05 4.798641748493537e-05 0.00020719222084153444 0.00013950603897683322 7.873944559833035e-05 3.152502904413268e-05 0.01009021233767271 0.09607461094856262 0.9173976182937622 7.64472788432613e-05
    1.2.826.0.1.3680043.8.498.31839703901883551856251773159411996919 0.00020769871480297297 0.00029977859230712056 0.0003391112550161779 0.00034826539922505617 0.0002846776624210179 0.00044823664939031005 0.00015672019799239933 0.0391986258327961 0.05645367503166199 0.9443626403808594 0.00014246648061089218
    1.2.826.0.1.3680043.8.498.88965887342712642529072973420182151042 0.014924528077244759 0.05322205275297165 0.025547146797180176 0.032794881612062454 0.08244764059782028 0.3399108052253723 0.3881167769432068 0.04101155698299408 0.26199212670326233 0.8046875 0.00522552290931344
    1.2.826.0.1.3680043.8.498.10098808277110310754340055385841057973 5.341393261915073e-05 4.4384909415384755e-05 9.146564843831584e-05 0.0001306460180785507 5.007859363104217e-05 0.0002570881915744394 1.3314539501152467e-05 0.015524076297879219 0.11461810767650604 0.8531546592712402 8.144659659592435e-05
    1.2.826.0.1.3680043.8.498.86635548960694692460696551344180413851 0.0007890090346336365 0.002078018616884947 0.0033716033212840557 0.0034464909695088863 0.0008420351077802479 0.012392334640026093 0.0005270481342449784 0.03033396042883396 0.06680065393447876 0.9508482217788696 0.0005963019793853164
    1.2.826.0.1.3680043.8.498.62030802181769722869142687275288895795 0.007564912550151348 0.026704439893364906 0.053432393819093704 0.09941033273935318 0.07783405482769012 0.7603123784065247 0.11358422040939331 0.03043544292449951 0.1537976711988449 0.8218928575515747 0.004977094940841198
    1.2.826.0.1.3680043.8.498.82461362090525508057448386520020408615 0.014657256193459034 0.15799717605113983 0.05832284688949585 0.00691294064745307 0.03445618227124214 0.005565778352320194 0.9225470423698425 0.027759168297052383 0.10521745681762695 0.8868093490600586 0.00135557702742517
    1.2.826.0.1.3680043.8.498.80293667688578473310566926478506292490 0.00021461702999658883 0.00032286893110722303 0.00031973645673133433 0.0003358015092089772 0.0004648274334613234 8.581024303566664e-05 0.0005686080548912287 0.24566824734210968 0.2927935719490051 0.435615211725235 0.00029906962299719453
    1.2.826.0.1.3680043.8.498.10948217841388750279985009369652714544 0.0002391993475612253 0.0007749471114948392 0.0018752278992906213 0.0007202066481113434 0.00030240017804317176 0.010233476758003235 0.00018774736963678151 0.014981796033680439 0.13362425565719604 0.9160135388374329 0.0002224297059001401
    1.2.826.0.1.3680043.8.498.12499515886244699339006055025109374684 0.0001794811978470534 0.00021475378889590502 0.0005124511080794036 0.000776716391555965 0.0003061796014662832 0.001992493402212858 5.452476398204453e-05 0.021016832441091537 0.01889464259147644 0.9786134958267212 0.00010752318485174328
    1.2.826.0.1.3680043.8.498.84205520735336302773871792630939352335 0.0002613365650177002 0.0003292780020274222 0.000536436855327338 0.0006405661697499454 0.00022862167679704726 0.0018987173680216074 5.086868259240873e-05 0.10626834630966187 0.45800504088401794 0.526936411857605 0.0004192414344288409
    1.2.826.0.1.3680043.8.498.69645973748227513254896725114947795775 0.017980724573135376 0.096834197640419 0.16030773520469666 0.03664599731564522 0.08974223583936691 0.48567065596580505 0.4184662401676178 0.058770548552274704 0.19870178401470184 0.7230861186981201 0.023691408336162567
    1.2.826.0.1.3680043.8.498.12851011599131174170676488162156532562 0.0004950696602463722 0.0007934303721413016 0.0007483932422474027 0.0006915913545526564 0.001001531956717372 7.497652404708788e-05 0.004021846689283848 0.14684584736824036 0.6101695895195007 0.33647432923316956 0.0005048839375376701
    1.2.826.0.1.3680043.8.498.42088059728976229010696553502688564253 0.00012758324737660587 0.00016014942957554013 0.0002739313349593431 0.0005413246108219028 0.00012849732593167573 0.0008053736528381705 2.9829312552465126e-05 0.024895891547203064 0.2244648039340973 0.7838436961174011 0.00030676100868731737
    1.2.826.0.1.3680043.8.498.12371991745910913561547920321213270678 0.00025999461649917066 0.00017220819427166134 0.0002139802381861955 0.0005346841644495726 0.0003947974764741957 0.00025170916342176497 8.959408296504989e-05 0.037468381226062775 0.07881128787994385 0.8777220845222473 0.00017088916501961648
    1.2.826.0.1.3680043.8.498.10452387077561418092628582593988925339 0.0010227193124592304 0.0013912940630689263 0.0017939051613211632 0.001740103936754167 0.0037915087305009365 0.000487030774820596 0.012052064761519432 0.6067287921905518 0.37069153785705566 0.2569965422153473 0.0020777154713869095
    1.2.826.0.1.3680043.8.498.37438087697977390123670548112457136466 0.007731392979621887 0.16293984651565552 0.8194661140441895 0.00805862806737423 0.019849151372909546 0.2508431375026703 0.8094247579574585 0.09740034490823746 0.35631537437438965 0.9009356498718262 0.7364200353622437
    1.2.826.0.1.3680043.8.498.97259889209644799231079018130027359670 4.0300594264408574e-05 2.6430245270603336e-05 6.123398634372279e-05 0.00015477495617233217 5.1190574595239013e-05 0.0001604711142135784 7.246842869790271e-06 0.005791801959276199 0.051169414073228836 0.9548248052597046 4.657230601878837e-05
    1.2.826.0.1.3680043.8.498.91618655492312143906249937625587857178 0.0001076983317034319 0.00014253509289119393 0.00017080525867640972 9.585906082065776e-05 0.00018390816694591194 4.843166607315652e-05 0.0009489849908277392 0.016271334141492844 0.04829775169491768 0.9490083456039429 7.674782682443038e-05
    1.2.826.0.1.3680043.8.498.52194022424409231327232944458059858181 0.0006485466728918254 0.01010088436305523 0.9951859712600708 0.01454232819378376 0.052681662142276764 0.022324921563267708 0.2595919668674469 0.10075507313013077 0.4450450837612152 0.7079976201057434 0.0011962262215092778
    1.2.826.0.1.3680043.8.498.11248872845883934552369823479154423374 0.0003587623068597168 0.0003136914747301489 0.0004832829290535301 0.0008756491588428617 0.0013532099546864629 9.402891009813175e-05 0.0006914002005942166 0.007736727595329285 0.07442885637283325 0.9436372518539429 0.00013778188440483063
    1.2.826.0.1.3680043.8.498.77169171512132626945261865944026898081 0.00024108984507620335 0.0006303072441369295 0.0015066979685798287 0.0015481685986742377 0.00019511510618031025 0.01785668544471264 6.43431703792885e-05 0.049689553678035736 0.26155054569244385 0.8171085119247437 0.0010510340798646212
    1.2.826.0.1.3680043.8.498.72017572987692341806536147302676381718 0.0001485930843045935 0.00011837998317787424 0.00012988221715204418 0.0005761111970059574 0.00017200320144183934 0.00029314725543372333 3.320602991152555e-05 0.5468329191207886 0.07010382413864136 0.5121263265609741 0.0002910282928496599
    1.2.826.0.1.3680043.8.498.69576628924126473682843640196781537218 0.005731905344873667 0.12343206256628036 0.8859795331954956 0.013552829623222351 0.07208395004272461 0.1195351853966713 0.7634287476539612 0.10876967757940292 0.37311771512031555 0.8931368589401245 0.004177507944405079
    1.2.826.0.1.3680043.8.498.10885177584159507802155093166698260783 0.0002673182752914727 0.0002800680813379586 0.00016119515930768102 0.0003315057256259024 0.0004149249289184809 6.30475624348037e-05 0.0003012314555235207 0.05160009115934372 0.08283880352973938 0.8647499084472656 0.0002251445548608899
    1.2.826.0.1.3680043.8.498.39531706900360226449522317687017985799 0.0007154208142310381 0.0006056540878489614 0.00097808544524014 0.002809974830597639 0.004549193195998669 0.0005538907716982067 0.005430078599601984 0.020588448271155357 0.058140285313129425 0.9543201327323914 0.00037550038541667163
    1.2.826.0.1.3680043.8.498.96890428103490414352908675727361196710 0.00015621497004758567 0.00015019944112282246 0.00017335344455204904 0.00042365555418655276 0.00012227424304001033 0.0005349052371457219 2.004540328925941e-05 0.06406982988119125 0.20847347378730774 0.8096330761909485 0.0005590180517174304
    1.2.826.0.1.3680043.8.498.10938218812092166928950274869662862331 0.0006309240125119686 0.004474530927836895 0.9891331791877747 0.014658495783805847 0.05546159669756889 0.04078252613544464 0.07931803166866302 0.03139502555131912 0.1834520399570465 0.7229609489440918 0.00037925978540442884
    1.2.826.0.1.3680043.8.498.61035877344149716579854451589969025895 0.0002026983129326254 0.00027968414360657334 0.00034472887637093663 0.00029955842182971537 0.00044090248411521316 0.00012136642180848867 0.0002922869171015918 0.01937112957239151 0.5874224305152893 0.5064740777015686 0.00019306791364215314
    1.2.826.0.1.3680043.8.498.71487990135844777718665818510848284197 0.0002540174755267799 0.00019879631872754544 0.0002085836313199252 0.0005104272277094424 0.0002432388428132981 0.0005767687689512968 6.180165655678138e-05 0.04571162909269333 0.16301824152469635 0.7399595975875854 0.00024614849826321006
    1.2.826.0.1.3680043.8.498.10992018578223791381496587964123114962 0.0007042289944365621 0.0007485036621801555 0.0008122079889290035 0.001845385879278183 0.0018137010047212243 0.0006453782552853227 0.0006465980550274253 0.5013097524642944 0.5082100629806519 0.09321223199367523 0.0008489700267091393
    1.2.826.0.1.3680043.8.498.60545571885041960463317119604443665594 0.0001397180458297953 0.00017293306882493198 0.0005380356451496482 0.0002954696537926793 0.00016845963546074927 0.0004145229759160429 6.594727165065706e-05 0.0463249646127224 0.20896856486797333 0.9019597172737122 0.00016438827151432633
    1.2.826.0.1.3680043.8.498.35514934388683657212137766116986553341 0.0004509457794483751 0.0007196157821454108 0.0004688326735049486 0.00041335439891554415 0.0008421902311965823 4.055290628457442e-05 0.0023881818633526564 0.5507556200027466 0.3993656635284424 0.24378737807273865 0.000646946660708636
    1.2.826.0.1.3680043.8.498.59359606364008027925400951355468778850 0.000398966803913936 0.0004034418670926243 0.0006958970334380865 0.0006586626986972988 0.0010565563570708036 0.0001004234654828906 0.000842741341330111 0.06899233907461166 0.31590014696121216 0.7597442865371704 0.00038427591789513826
    1.2.826.0.1.3680043.8.498.81567983589105785526175312357234210506 0.0003138640895485878 0.0003037331916857511 0.0002786634722724557 0.0004494336899369955 0.0009977350709959865 4.313796671340242e-05 0.000603212509304285 0.029378170147538185 0.1589890420436859 0.7945895195007324 0.0002887590089812875
    1.2.826.0.1.3680043.8.498.39321567898708695715126271715130514715 0.00015924008039291948 0.00010411474067950621 0.00012486198102124035 0.00022528230329044163 0.0003408630727790296 3.2026546250563115e-05 0.00015024971798993647 0.007529455237090588 0.09621239453554153 0.9400617480278015 0.00010115061741089448
    1.2.826.0.1.3680043.8.498.67508619225965666321181545421495924183 0.0002583082823548466 0.0009181814966723323 0.0011392582673579454 0.00017820796347223222 0.0005850430461578071 2.91638480121037e-05 0.06300041079521179 0.009519376792013645 0.031027648597955704 0.9836929440498352 0.00011629216896835715
    1.2.826.0.1.3680043.8.498.54164893929627095847613067825002086989 9.862428123597056e-05 5.811206210637465e-05 4.5177479478297755e-05 0.00016387150390073657 0.0001122531684814021 3.6603356420528144e-05 6.435120303649455e-05 0.06786276400089264 0.28624263405799866 0.7689346671104431 0.00038498983485624194
    1.2.826.0.1.3680043.8.498.23418202941007011244291832892502316039 0.0004687344189733267 0.000430777610745281 0.00030066503677517176 0.0006088322261348367 0.0006792437634430826 0.0001429351104889065 0.0007702151779085398 0.29609769582748413 0.6479552388191223 0.19832181930541992 0.0004961180384270847
    1.2.826.0.1.3680043.8.498.31164673351596148702537063676546304286 0.002533154794946313 0.001858968986198306 0.001137836603447795 0.012395880185067654 0.05953976511955261 0.00811909232288599 0.9606012105941772 0.05480869859457016 0.249131441116333 0.40378236770629883 0.002567791845649481
    1.2.826.0.1.3680043.8.498.13773981615015992595999394572979229794 0.00016870336548890918 0.00015678782074246556 0.0001770792150637135 0.0003733453049790114 0.0004346653295215219 4.7398392780451104e-05 0.00019412022083997726 0.026919003576040268 0.7691704630851746 0.25298255681991577 0.00013433012645691633
    1.2.826.0.1.3680043.8.498.52355772441243665188560535810479636802 0.0002460084797348827 0.00019247356976848096 0.00017617791309021413 0.0006411498761735857 0.00024487526388838887 0.0002539693668950349 8.41294095152989e-05 0.01871092990040779 0.03187305107712746 0.9506264925003052 0.00015847003669478
    1.2.826.0.1.3680043.8.498.12906329570487618410175321594617121474 0.00024445756571367383 0.0004066749825142324 0.00036946526961401105 0.0003385092131793499 0.0006022874731570482 7.356643618550152e-05 0.0007551416638307273 0.01341981627047062 0.05255250260233879 0.9445012211799622 9.58607197389938e-05
    1.2.826.0.1.3680043.8.498.50940097436987967842374761674038480829 0.0057721068151295185 0.014345201663672924 0.008138308301568031 0.006911952048540115 0.03461363911628723 0.006636666599661112 0.9849761128425598 0.5418034791946411 0.4415084421634674 0.4514080882072449 0.007032050285488367
    1.2.826.0.1.3680043.8.498.31519609462626049176219509459889719525 0.003092121332883835 0.010260157287120819 0.04320964589715004 0.016764091327786446 0.024260709062218666 0.39408501982688904 0.04979050159454346 0.04462263733148575 0.21670551598072052 0.8798187971115112 0.004417754709720612
    1.2.826.0.1.3680043.8.498.92549683143711896111034210028914257162 0.00033193835406564176 0.00023721631441731006 0.0007345121121034026 0.0009684811229817569 0.001079498091712594 0.0011729327961802483 0.00041889509884640574 0.14818622171878815 0.1376018524169922 0.6553373336791992 0.00031736347591504455
    1.2.826.0.1.3680043.8.498.11291886570086847199545776596720872291 0.00033687290851958096 0.00039980822475627065 0.0005605465266853571 0.0009826011955738068 0.0004018355975858867 0.0009917531860992312 0.0001800557365640998 0.029400285333395004 0.044838570058345795 0.9575821757316589 0.00021042097068857402
    1.2.826.0.1.3680043.8.498.16063636837765512405400511470907598385 0.00018498845747672021 0.00017226999625563622 0.00014376008766703308 0.00034031225368380547 0.00041566131403669715 5.8204448578180745e-05 0.0002489139442332089 0.007921130396425724 0.1862899363040924 0.9400115013122559 0.00013199777458794415
    1.2.826.0.1.3680043.8.498.50658564992640527250713278435881221510 0.000690954620949924 0.0006783438147976995 0.000674047798383981 0.0008898263913579285 0.0011936270166188478 0.00021135457791388035 0.0015392948407679796 0.25836506485939026 0.26097533106803894 0.6178207397460938 0.0007390523096546531
    1.2.826.0.1.3680043.8.498.41264999692392932727588105672962112658 0.00028697922243736684 0.00029736614669673145 0.00036230403929948807 0.0005946052260696888 0.00047130859456956387 0.00026819368940778077 0.00030706191319040954 0.06983445584774017 0.7688860893249512 0.29928845167160034 0.0003100907488260418
    1.2.826.0.1.3680043.8.498.17854143166337206952272378476078600670 0.0007343526813201606 0.0008192889508791268 0.0010013731662184 0.0018582355696707964 0.0012995816068723798 0.0005708346725441515 0.0008085427107289433 0.014926955103874207 0.049201078712940216 0.966022789478302 0.00029585097217932343
    1.2.826.0.1.3680043.8.498.12639790645387112701169667086665934154 0.00024389060854446143 0.00027603021590039134 0.0004950662842020392 0.00039785500848665833 0.0004327990463934839 0.00020346343808341771 0.000452802429208532 0.0107185747474432 0.02612883225083351 0.9658201336860657 0.00012094090925529599
    1.2.826.0.1.3680043.8.498.48859395810792817097281829624117593230 0.00032639241544529796 0.00036438406095840037 0.000705939601175487 0.0010282399598509073 0.0008418566430918872 0.001364719937555492 0.0001570844033267349 0.15671224892139435 0.2756204605102539 0.5923276543617249 0.0004760478623211384
    1.2.826.0.1.3680043.8.498.27613965663745889962904306660228389393 0.0006097260629758239 0.0005166879273019731 0.0007759328000247478 0.001177102094516158 0.0016350175719708204 0.0002468515303917229 0.0005859844386577606 0.2946523129940033 0.3271937370300293 0.31737810373306274 0.0005029571475461125
    1.2.826.0.1.3680043.8.498.10633485602945167022929853178525323449 0.0002474283683113754 0.0002034770732279867 0.00034908048110082746 0.0005902234697714448 0.00033353554317727685 0.0005334964371286333 6.893380486872047e-05 0.13037821650505066 0.09753881394863129 0.7594732642173767 0.00018807376909535378
    1.2.826.0.1.3680043.8.498.29637890049490240697842370513240738865 0.000723013945389539 0.0016479501500725746 0.002555644139647484 0.0016234361100941896 0.001772754592821002 0.002448869403451681 0.0023638722486793995 0.023195412009954453 0.1657748967409134 0.8966576457023621 0.0008441478130407631
    1.2.826.0.1.3680043.8.498.12786671191888914451851312086866157165 0.001684716553427279 0.0020665673073381186 0.0028828312642872334 0.006356491707265377 0.008796603418886662 0.0035150344483554363 0.02316155470907688 0.04394581541419029 0.07694251090288162 0.7631009817123413 0.0010013645514845848
    1.2.826.0.1.3680043.8.498.12886627210313595020962866238302804753 0.00021138992451597005 0.00020180987485218793 0.00020035041961818933 0.00036792593891732395 0.0005119249108247459 9.430917270947248e-05 0.0011468264274299145 0.15574957430362701 0.6870391964912415 0.30667924880981445 0.00022567537962459028
    1.2.826.0.1.3680043.8.498.57473089555862800921748626596318221972 0.00011824816465377808 0.00012436765246093273 0.0001388967502862215 0.00020492302428465337 0.00030592738767154515 1.7044427295331843e-05 0.000256447761785239 0.005982144735753536 0.028251877054572105 0.9767235517501831 6.203432712936774e-05
    1.2.826.0.1.3680043.8.498.12061811866052158961219074347619097280 0.0002773884334601462 0.0002157352864742279 0.0005233894335106015 0.0008530987543053925 0.00044960473314858973 0.00035736983409151435 0.00027699038037098944 0.014770260080695152 0.0775865837931633 0.932564377784729 0.0001980777597054839
    1.2.826.0.1.3680043.8.498.75446298721264170950518093941743126850 0.0003085614007432014 0.0003578714677132666 0.00031564204255118966 0.0004766228958033025 0.0006918834988027811 8.120543498080224e-05 0.0004563590046018362 0.09161065518856049 0.5192540287971497 0.385835736989975 0.0003135653678327799
    1.2.826.0.1.3680043.8.498.11771540892147708464206139378451292899 9.704293916001916e-05 6.648637645412236e-05 0.00023429412976838648 0.0003090227546636015 0.00014636122796218842 0.00017935154028236866 2.198994843638502e-05 0.018536748364567757 0.14233264327049255 0.8381659388542175 0.00011682665353873745
    1.2.826.0.1.3680043.8.498.26258979211791842336077651965547555406 0.001386318588629365 0.0017420037183910608 0.0017928670858964324 0.006462874822318554 0.0042548212222754955 0.01126155536621809 0.009379458613693714 0.1576426923274994 0.47609567642211914 0.6072858572006226 0.0034272130578756332
    1.2.826.0.1.3680043.8.498.10370012160246686615196191219810482713 0.0005833524046465755 0.0007469505071640015 0.0008406995912082493 0.001030767452903092 0.0008810398867353797 0.00120650848839432 0.0005039962707087398 0.07148536294698715 0.1657276302576065 0.804066002368927 0.0004946262342855334
    1.2.826.0.1.3680043.8.498.52467177572327595629960012929975696954 0.0030375481583178043 0.08684936910867691 0.4887048602104187 0.001365371630527079 0.010294385254383087 0.03908247500658035 0.9760909080505371 0.07331053912639618 0.4688911437988281 0.8481439352035522 0.008055334910750389
    1.2.826.0.1.3680043.8.498.70034861771675772314454721942462597651 0.00027701316867023706 0.0004520764632616192 0.0010370322270318866 0.0006408040644600987 0.0006243817624635994 0.0009145127842202783 0.00037771579809486866 0.02089887484908104 0.04593620449304581 0.9541683197021484 0.0001828220410970971
    1.2.826.0.1.3680043.8.498.11394587778887947396041481153920657969 0.00012755933857988566 0.00011223183537367731 0.00027544746990315616 0.0004275499377399683 0.00016242188576143235 0.0005729409749619663 3.254818875575438e-05 0.09861333668231964 0.18627864122390747 0.6768703460693359 0.0007101528462953866
    1.2.826.0.1.3680043.8.498.39205617224150151992858245781456826247 0.00019637597142718732 0.00026044214610010386 0.0005729179829359055 0.00077805359615013 0.0003326705773361027 0.004310996737331152 0.00017869348812382668 0.03172483295202255 0.1640232503414154 0.8651752471923828 0.0002868837327696383
    1.2.826.0.1.3680043.8.498.10505187229892991030671314356657201989 0.0006684019463136792 0.0006186887039802969 0.0005179947474971414 0.0008943880093283951 0.0011148605262860656 0.00030993856489658356 0.0008218692382797599 0.1612960249185562 0.4695437550544739 0.4569310247898102 0.0006659178761765361
    1.2.826.0.1.3680043.8.498.37481174876347933859382157050691916016 0.0005420468514785171 0.0008815188193693757 0.000962605990935117 0.0006761165568605065 0.0012200848432257771 0.0001733052486088127 0.006310562137514353 0.05289634317159653 0.5169857144355774 0.4410158693790436 0.000358041055733338
    1.2.826.0.1.3680043.8.498.41115969825416928066194740375454104439 0.0003752621414605528 0.0002313412696821615 0.00029746376094408333 0.0009540946339257061 0.0003794361837208271 0.0005396919441409409 7.04013800714165e-05 0.045554663985967636 0.07940742373466492 0.855482280254364 0.0003089992387685925
    1.2.826.0.1.3680043.8.498.13928993599867255475344097113366424792 0.00046117286547087133 0.0018347579753026366 0.7095619440078735 0.002296402817592025 0.007407445460557938 0.0014739917824044824 0.013318801298737526 0.026191622018814087 0.20249995589256287 0.8385255932807922 0.0003501084283925593
    1.2.826.0.1.3680043.8.498.56317078109540180242597054354952034760 0.00018340178939979523 0.0001263943559024483 0.0001472042640671134 0.0003217380726709962 0.00043730399920605123 3.737564475159161e-05 0.00020376607426442206 0.005831678863614798 0.06546719372272491 0.9334996938705444 0.00010106774425366893
    1.2.826.0.1.3680043.8.498.70672131380548978923678046450695235029 0.00027741672238335013 0.00032752309925854206 0.000381397403543815 0.0005090892082080245 0.0007168150623328984 5.5339496611850336e-05 0.00036327922134660184 0.03575621917843819 0.15110689401626587 0.823887825012207 0.0002553040976636112
    1.2.826.0.1.3680043.8.498.37399214825484689090064971413649854270 0.000370268477126956 0.0004063552769366652 0.0005113246734254062 0.001199598191305995 0.000919814221560955 0.00244866032153368 0.0003085039206780493 0.03102997876703739 0.31681546568870544 0.6616215705871582 0.0002424275007797405
    1.2.826.0.1.3680043.8.498.17876006861496004808769030087727028229 0.002820446388795972 0.0254124216735363 0.012845483608543873 0.0023128639440983534 0.015437051653862 0.0009466068586334586 0.9914889335632324 0.2913239598274231 0.6492640972137451 0.33763542771339417 0.0012670408468693495
    1.2.826.0.1.3680043.8.498.13170436928846857925723817188994661120 0.003788695903494954 0.012555235996842384 0.1316531002521515 0.008562187664210796 0.011663048528134823 0.008717627264559269 0.09473934024572372 0.07578295469284058 0.14706867933273315 0.757939875125885 0.0017538818065077066
    1.2.826.0.1.3680043.8.498.10920022865164502870630038070931922017 0.00023134266666602343 0.00019115097529720515 0.0003023550671059638 0.0005595589173026383 0.0004858766624238342 0.00018038926646113396 0.00022091460414230824 0.08787140995264053 0.7553163170814514 0.14936839044094086 0.0002162511518690735
    1.2.826.0.1.3680043.8.498.40644388302873898692023325872473931638 0.00028634717455133796 0.00015652397996746004 0.00018672957958187908 0.0007101929513737559 0.000526792835444212 0.00017845262482296675 0.00016235708608292043 0.01640717126429081 0.032195981591939926 0.9594635963439941 0.0001387501833960414
    1.2.826.0.1.3680043.8.498.24676346417292033055937294205363836610 0.0007821855833753943 0.0007161801331676543 0.0008867449359968305 0.0034346829634159803 0.0018132809782400727 0.0033633552957326174 0.0004258677363395691 0.07056645303964615 0.20068199932575226 0.8032733201980591 0.0014596516266465187
    1.2.826.0.1.3680043.8.498.38655389162833550917681859101139211215 0.009095622226595879 0.19204865396022797 0.7687835693359375 0.011130187660455704 0.05542684718966484 0.09751491993665695 0.8143351674079895 0.029539335519075394 0.15446007251739502 0.5194724798202515 0.001856459304690361
    1.2.826.0.1.3680043.8.498.14471383470138765491594027258133884276 0.0003055296547245234 0.0003155850572511554 0.0005967689794488251 0.0005113504594191909 0.0007412816630676389 7.155998900998384e-05 0.0007576796342618763 0.02139626070857048 0.14807724952697754 0.8119065165519714 0.00017228236538358033
    1.2.826.0.1.3680043.8.498.64842932735411120378574941250911730992 0.0006197836482897401 0.00715107936412096 0.9931958913803101 0.010731501504778862 0.03059563599526882 0.33487600088119507 0.24522872269153595 0.01707427203655243 0.2108934372663498 0.9524363279342651 0.0016893688589334488
    1.2.826.0.1.3680043.8.498.61927035383368044873055165229067008224 0.00014695242862217128 7.09326341166161e-05 9.072213288163766e-05 0.000315631739795208 0.00040399469435214996 4.277367770555429e-05 0.00012841427815146744 0.0049864426255226135 0.019935237243771553 0.9792726635932922 7.18666342436336e-05
    1.2.826.0.1.3680043.8.498.10323849237806312758549614880509878055 0.016780544072389603 0.24615363776683807 0.7977220416069031 0.03498084843158722 0.04248254746198654 0.04973791912198067 0.49382704496383667 0.08812589943408966 0.32420364022254944 0.2987922132015228 0.002673101145774126
    1.2.826.0.1.3680043.8.498.81857628865772554045293307749433594217 0.0006314626079984009 0.000724312849342823 0.0034124343656003475 0.0017832070589065552 0.002369340742006898 0.0006561632617376745 0.0006638598861172795 0.015687275677919388 0.04084678739309311 0.9547878503799438 0.00029824950615875423
    1.2.826.0.1.3680043.8.498.28912433874016822797997516784882327247 0.00017679094162303954 0.00016025600780267268 0.0002761796931736171 0.00032944115810096264 0.0005862979451194406 6.187480175867677e-05 0.00037424874608404934 0.0030094189569354057 0.03360636904835701 0.9737681150436401 9.151168342214078e-05
    1.2.826.0.1.3680043.8.498.10907519773056866390462278511137588344 0.00016492883150931448 0.00011028328299289569 0.00028833086253143847 0.00038863412919454277 0.000459310453152284 0.00012522671022452414 0.00016496395983267576 0.007905624806880951 0.12931570410728455 0.9512031674385071 0.00013141923409420997
    1.2.826.0.1.3680043.8.498.10563546343875415993880952720019930877 0.005269993562251329 0.12105158716440201 0.9040634036064148 0.015700919553637505 0.056580960750579834 0.1829054355621338 0.855860710144043 0.10008104145526886 0.2808952033519745 0.417680561542511 0.0038660322315990925
    1.2.826.0.1.3680043.8.498.36818279860006121586234478054061555918 0.0002304168592672795 0.0003825529129244387 0.0007135213236324489 0.0007632437627762556 0.0005658729933202267 0.0019183350959792733 0.000135799462441355 0.010097538121044636 0.021119749173521996 0.9816070795059204 9.201718785334378e-05
    1.2.826.0.1.3680043.8.498.89733216017057084846040962900132803085 0.00026947498554363847 0.0003578664327505976 0.00043295006616972387 0.0003491875540930778 0.0006050584488548338 0.000252474972512573 0.0008822323870845139 0.056971289217472076 0.5056273341178894 0.6061676144599915 0.00029915093909949064
    1.2.826.0.1.3680043.8.498.49160399827837670362799273199629913081 0.00016067331307567656 0.0002566573675721884 0.0006494393455795944 0.000467205245513469 0.00017366184329148382 0.0015242467634379864 0.00018658299813978374 0.03246120363473892 0.3739861845970154 0.5926637649536133 0.0003288568987045437
    1.2.826.0.1.3680043.8.498.14739280786899860309130231822103258163 9.745727584231645e-05 0.0003291984903626144 0.0006889051874168217 0.0005764882080256939 0.00012240192154422402 0.006209349725395441 1.2715679076791275e-05 0.04614377021789551 0.20882835984230042 0.787291407585144 0.00032975064823403955
    1.2.826.0.1.3680043.8.498.98072246992076807014762069193737611307 0.007700596936047077 0.07770019769668579 0.18270491063594818 0.02926318347454071 0.09979473799467087 0.14544454216957092 0.5983648300170898 0.03638482838869095 0.4242471158504486 0.5015756487846375 0.0018343651900067925
    1.2.826.0.1.3680043.8.498.14146352921293378757232462989919173221 0.00025223445845767856 0.0002081990533042699 0.0003496152348816395 0.0005049415631219745 0.0005889603635296226 5.6637556554051116e-05 0.0003943428455386311 0.024049153551459312 0.10549177974462509 0.8372218012809753 0.00011928437743335962
    1.2.826.0.1.3680043.8.498.13396573536989112661604358709765865511 0.00027544921613298357 0.00028090784326195717 0.0003055806737393141 0.00040141158387996256 0.0003923279291484505 0.0002434013003949076 0.00046185468090698123 0.17226703464984894 0.19400614500045776 0.676477313041687 0.00031022538314573467
    1.2.826.0.1.3680043.8.498.24978801207868199302190744360919348878 0.0006339832907542586 0.0007780446321703494 0.0013201524270698428 0.001195290475152433 0.001942522474564612 0.00014858112263027579 0.001655308180488646 0.016968881711363792 0.11667096614837646 0.8938908576965332 0.000361049547791481
    1.2.826.0.1.3680043.8.498.34600944940398928722193016708850972107 0.000259336200542748 0.0003124345967080444 0.0002465385477989912 0.0005594782996922731 0.0007089707651175559 8.643462206237018e-05 0.0008912738412618637 0.7600465416908264 0.1414601355791092 0.2491501122713089 0.0003077676228713244
    1.2.826.0.1.3680043.8.498.88259414595079223928584745687593943929 0.0005200390587560833 0.0008041159017011523 0.0012650180142372847 0.001228082226589322 0.00127416814211756 0.0005203231703490019 0.0015989976236596704 0.03369498625397682 0.21112756431102753 0.865609347820282 0.000621587096247822
    1.2.826.0.1.3680043.8.498.12871407357314906790515779783008507155 0.00035888480488210917 0.0004114796465728432 0.0007504963432438672 0.0005793074960820377 0.0007893426227383316 0.0002801249211188406 0.0016565637197345495 0.013925318606197834 0.04849058762192726 0.9478422403335571 0.0001535557967144996
    1.2.826.0.1.3680043.8.498.10867819701136411475700034075946359114 0.0014020035741850734 0.0024890920612961054 0.0031284387223422527 0.0032997834496200085 0.005683192051947117 0.0004321855085436255 0.007106421981006861 0.13787581026554108 0.7291622161865234 0.2156442403793335 0.0009848854970186949
    1.2.826.0.1.3680043.8.498.13334012589298089980854958397425807319 0.0003237251075915992 0.00111693877261132 0.0036189923994243145 0.0017308745300397277 0.0005320989293977618 0.03632869943976402 0.00011168148921569809 0.06353258341550827 0.1792464554309845 0.7919062376022339 0.0021497351117432117
    1.2.826.0.1.3680043.8.498.15279182011732637981011638904248428628 0.00016122462693601847 0.00014459130761679262 0.00015413315850310028 0.00021953888062853366 0.00020543113350868225 8.897341467672959e-05 0.00011877868382725865 0.01662893034517765 0.09000905603170395 0.9192296266555786 0.00011758909386117011
    1.2.826.0.1.3680043.8.498.81135742054583128636410225125682779313 0.0014696805737912655 0.0012287442805245519 0.0012603788636624813 0.007775214500725269 0.003070331644266844 0.007224735803902149 0.0015423714648932219 0.5976191759109497 0.11150713264942169 0.3376666307449341 0.0017441805684939027
    1.2.826.0.1.3680043.8.498.94098550816613150964408616705830519654 0.00031032724655233324 0.0003058741276618093 0.0003358870162628591 0.0005638303118757904 0.0005677934386767447 0.0003999515902251005 0.00017312393174506724 0.030742783099412918 0.562909722328186 0.45892882347106934 0.00019063566287513822
    1.2.826.0.1.3680043.8.498.82982813590429179336789270853336478639 0.001140407519415021 0.0012764740968123078 0.0013915568124502897 0.004482968710362911 0.0015330144669860601 0.003268033266067505 0.0007799612358212471 0.11473480612039566 0.09932232648134232 0.8737265467643738 0.0011183640453964472
    1.2.826.0.1.3680043.8.498.55849741665856107048047948606794141283 0.00024317190400324762 0.00042326096445322037 0.0006407616892829537 0.0003594882437027991 0.00045206613140180707 0.0004692073562182486 0.0006298079388216138 0.08207543194293976 0.5488329529762268 0.6318821907043457 0.0005910455365665257
    1.2.826.0.1.3680043.8.498.12840035398324387130016339388070217817 0.0006930258823558688 0.006370414048433304 0.9890152215957642 0.008071141317486763 0.059948958456516266 0.06652013957500458 0.7349622845649719 0.04313944652676582 0.18025344610214233 0.9318828582763672 0.0007890812121331692
    1.2.826.0.1.3680043.8.498.12741991635936649149090865390713168408 0.0003417772823013365 0.00039074564119800925 0.0006954466225579381 0.0006453819805756211 0.0007785529596731067 0.00016526426770724356 0.000586803478654474 0.0647285059094429 0.62397301197052 0.274324893951416 0.00028336106333881617
    1.2.826.0.1.3680043.8.498.26310571973216631231255631957577112066 0.00022700494446326047 0.0003409503842703998 0.0004145849379710853 0.000348253728589043 0.0005976674729026854 5.723708454752341e-05 0.000786320015322417 0.010257462039589882 0.14410161972045898 0.9536350965499878 0.00012812438944820315
    1.2.826.0.1.3680043.8.498.50408184016371769813192349609603954710 0.0003071037936024368 0.0002827462740242481 0.0002582950983196497 0.00040356931276619434 0.0006344274152070284 3.661604569060728e-05 0.0005186546477489173 0.029925808310508728 0.28396135568618774 0.7455533146858215 0.0002262497291667387
    1.2.826.0.1.3680043.8.498.10388529803198803988410230230557551287 0.0007801438914611936 0.0011817850172519684 0.0025129844434559345 0.004953712224960327 0.0016279462724924088 0.009499437175691128 0.0006880782311782241 0.08462075144052505 0.026415448635816574 0.9495588541030884 0.0006443747552111745
    1.2.826.0.1.3680043.8.498.64213478060166159349262916605146335305 0.0002976398100145161 0.00026756568695418537 0.0003657754568848759 0.0007819653255864978 0.0009955832501873374 8.695096767041832e-05 0.0005132150836288929 0.007823948748409748 0.0178039763122797 0.9847442507743835 0.00014057543012313545
    1.2.826.0.1.3680043.8.498.13291016651354111735853494035127338872 0.0006552243721671402 0.0005748200928792357 0.0006058457074686885 0.0015799669781699777 0.0010212433990091085 0.0006077595753595233 0.000557325198315084 0.14615240693092346 0.0524856336414814 0.8723118901252747 0.0005000804667361081
    1.2.826.0.1.3680043.8.498.10109466639072278913339887484365880514 0.0007420376059599221 0.0013804447371512651 0.0016084065428003669 0.0023219087161123753 0.002050330163910985 0.004110277164727449 0.0024721678346395493 0.009567884728312492 0.17630794644355774 0.9125981330871582 0.0006152368150651455
    1.2.826.0.1.3680043.8.498.94915902519273305166533683399412345565 0.00011724227806553245 0.00012068731302861124 0.0002866657741833478 0.00019742459699045867 0.0002269217075081542 6.594679871341214e-05 0.00018211128190159798 0.003870418295264244 0.03468133509159088 0.971221923828125 5.984967719996348e-05
    1.2.826.0.1.3680043.8.498.72336909482860437016707617277792598855 0.0001752404641592875 0.0001451471180189401 0.0002944297739304602 0.00044118420919403434 0.00045921566197648644 0.00027953265816904604 0.00012436984980013222 0.009542817249894142 0.16678151488304138 0.8588129281997681 0.0001943562674568966
    1.2.826.0.1.3680043.8.498.79175179675258899720624026438846528371 9.728618169901893e-05 0.00018608533719088882 0.00030804885318502784 0.0003940641472581774 5.583054735325277e-05 0.002787718316540122 1.4751361959497444e-05 0.10576404631137848 0.2870017886161804 0.6505681276321411 0.0029776396695524454
    1.2.826.0.1.3680043.8.498.15383847909840546882402905793000661852 0.0005397310596890748 0.00048415400669910014 0.00026979902759194374 0.0008831056766211987 0.0006694054463878274 0.00011455283674877137 0.0016402751207351685 0.2260439395904541 0.3459375202655792 0.48309749364852905 0.000768608006183058
    1.2.826.0.1.3680043.8.498.23922343974623171208575941502215639531 0.02815955877304077 0.46292099356651306 0.4726432263851166 0.004942846950143576 0.020889967679977417 0.0014705649809911847 0.9587844610214233 0.3808715343475342 0.26814064383506775 0.374600887298584 0.006003193091601133
    1.2.826.0.1.3680043.8.498.36524657756354359301899508944607186896 0.00011448711302364245 0.0003080920723732561 0.000994840869680047 0.0010114496108144522 0.00013993424363434315 0.007084744516760111 3.427492993068881e-05 0.01498101931065321 0.1208222284913063 0.9720680117607117 0.0001453209697501734
    1.2.826.0.1.3680043.8.498.62451881164053375557257228990443168843 0.00013221395784057677 8.709060057299212e-05 9.297624637838453e-05 0.0002479527029208839 0.00012377557868603617 0.00019385806808713824 3.11039257212542e-05 0.03480405732989311 0.10800313949584961 0.8776437044143677 0.00014064709830563515
    1.2.826.0.1.3680043.8.498.69387972020521579371306857304499124400 0.00013072200817987323 9.543447231408209e-05 0.00010267535981256515 0.0002360569778829813 0.0003189769049640745 3.9702772482996807e-05 0.0001354537671431899 0.002700675744563341 0.1526172161102295 0.9193452000617981 8.25391907710582e-05
    1.2.826.0.1.3680043.8.498.81778649731051480639095610932814342376 0.0015440735733136535 0.002930406015366316 0.001921650255098939 0.001811063615605235 0.004099560435861349 0.00027205218793824315 0.024590715765953064 0.07588224112987518 0.10365670919418335 0.9202224612236023 0.0015144082717597485
    1.2.826.0.1.3680043.8.498.15098501759555165654939592007669953544 0.0002361358201596886 0.00023657959536649287 0.0003914257977157831 0.00045071853674016893 0.0005410196026787162 5.2533228881657124e-05 0.00026833327137865126 0.02526886761188507 0.23576819896697998 0.8381427526473999 0.0002181378222303465
    1.2.826.0.1.3680043.8.498.56891262034354112804186403595335334176 0.0002015470527112484 0.00016956639592535794 0.0002260290493723005 0.0003807260363828391 0.000446548976469785 9.183552174363285e-05 0.00027294494793750346 0.04530077427625656 0.14756354689598083 0.7973380088806152 0.0003440121072344482
    1.2.826.0.1.3680043.8.498.60583133309520748849475862862117749683 0.00018674845341593027 0.0002259461471112445 0.00038194272201508284 0.0002994414244312793 0.00017867455608211458 0.0004561343230307102 0.000125349557492882 0.030967583879828453 0.22463762760162354 0.915645956993103 0.00024078204296529293
    1.2.826.0.1.3680043.8.498.12888089178485224723815646603396934562 0.00027969793882220984 0.0002427124127279967 0.00024047601618804038 0.0006318437517620623 0.0005368480342440307 6.503414624603465e-05 0.0007837187731638551 0.14157281816005707 0.44112974405288696 0.4350699782371521 0.00028284924337640405
    1.2.826.0.1.3680043.8.498.87123643569271080815217403173150549570 0.00020235698320902884 0.0002431614848319441 0.0002787247649393976 0.000383562728529796 0.00028774418751709163 0.0002126262552337721 0.0008624695474281907 0.010039184242486954 0.07820256054401398 0.9544488787651062 0.00012436330143827945
    1.2.826.0.1.3680043.8.498.82343604753805419877573794147393546713 0.0008134737727232277 0.0011760294437408447 0.0008576909312978387 0.0010645815636962652 0.0018351420294493437 0.00011687621008604765 0.00286746839992702 0.029210155829787254 0.20124399662017822 0.7745031118392944 0.0004882424545940012
    1.2.826.0.1.3680043.8.498.90034636663669294958547133443792470960 0.0006795063382014632 0.0007250127382576466 0.001397385261952877 0.0021682006772607565 0.004615786485373974 0.0025626595597714186 0.0018241654615849257 0.015085512772202492 0.08518005907535553 0.951651394367218 0.000498368579428643
    1.2.826.0.1.3680043.8.498.11502149861610982397298513675917548952 0.0003556112351361662 0.0003949211968574673 0.00038885249523445964 0.0004110356676392257 0.00029069921583868563 0.00026484610862098634 0.00016903906362131238 0.03556150943040848 0.0923086404800415 0.8621956706047058 0.00017597277474123985
    1.2.826.0.1.3680043.8.498.69053815868130279953835289424881895699 0.00016386435891035944 0.00012694591714534909 0.00016516745381522924 0.00027336893253959715 0.00040832191007211804 3.9531612856080756e-05 0.0002429360756650567 0.007911993190646172 0.1433980017900467 0.8925104141235352 0.00010527284030104056
    1.2.826.0.1.3680043.8.498.15290215352351851609100299840787778267 0.00045338497147895396 0.00033215194707736373 0.00045256371959112585 0.0008184916223399341 0.0007377162692137063 0.0004882795619778335 0.0001902276708278805 0.06098650023341179 0.11316196620464325 0.8351824879646301 0.000370128225767985
    1.2.826.0.1.3680043.8.498.56246160751518552269426184917736598320 0.0006001328583806753 0.0005846015410497785 0.0005266907974146307 0.0008309769327752292 0.0009066321072168648 0.0004347540088929236 0.0007331000524573028 0.01357917208224535 0.07086223363876343 0.9214153289794922 0.0003487131907604635
    1.2.826.0.1.3680043.8.498.25679526645412462862117411740479484123 0.0005906891310587525 0.0005710519035346806 0.0005807484267279506 0.0010930827120319009 0.0012099997838959098 0.00012381937995087355 0.0010545046534389257 0.0741053968667984 0.24581603705883026 0.7060673236846924 0.000483288720715791
    1.2.826.0.1.3680043.8.498.11762043568334612113524343939559157031 0.00015450018690899014 0.00013880233746021986 0.0002693221904337406 0.0004816786968149245 0.00028197962092235684 0.0006159516051411629 0.00010880980698857456 0.09528291970491409 0.5582707524299622 0.3764871060848236 0.000252817349974066
    1.2.826.0.1.3680043.8.498.82069690918220098474649505152850817042 0.00017178333655465394 0.00011870751768583432 0.00021130172535777092 0.0003298055089544505 0.00033539923606440425 6.896125705679879e-05 0.00012372112541925162 0.011296672746539116 0.060729075223207474 0.9287290573120117 7.86697055445984e-05
    1.2.826.0.1.3680043.8.498.22003651912062832515552202177005720968 0.0001609403407201171 0.00015847659960854799 0.00021024975285399705 0.00026972132036462426 0.00034235414932481945 4.216144952806644e-05 0.00018951114907395095 0.009729144163429737 0.06880015134811401 0.9460121393203735 8.153366070473567e-05
    1.2.826.0.1.3680043.8.498.28577840556094800780733456747806643959 0.00015750338206999004 0.00011999427806586027 0.0002523162111174315 0.0006092599360272288 0.0001919242786243558 0.0006439618300646544 5.192194294068031e-05 0.0238262377679348 0.03065982460975647 0.965002715587616 0.00015546419308520854
    1.2.826.0.1.3680043.8.498.10157589522146741599276176059603312645 0.02263626456260681 0.1588163822889328 0.18539485335350037 0.04101298376917839 0.13422353565692902 0.12097883224487305 0.5188874006271362 0.20821666717529297 0.36632758378982544 0.40860551595687866 0.004359077196568251
    1.2.826.0.1.3680043.8.498.81602044300049069627679609064055231020 0.0037564218509942293 0.0717867836356163 0.7949458360671997 0.019476082175970078 0.06195322796702385 0.16651564836502075 0.30792465806007385 0.010631097480654716 0.05243493244051933 0.9862095713615417 0.0007653821958228946
    1.2.826.0.1.3680043.8.498.91916670969811721469530760165300199211 0.0037892847321927547 0.012744372710585594 0.018455911427736282 0.006280615925788879 0.017378132790327072 0.004933685529977083 0.4822210371494293 0.16960912942886353 0.6162130832672119 0.5006605982780457 0.0022006735671311617
    1.2.826.0.1.3680043.8.498.28045548205115910746412048121641424312 0.00030569880618713796 0.0003063141484744847 0.0002922395651694387 0.0006769314059056342 0.00024127443612087518 0.0009372490458190441 7.74147774791345e-05 0.2329905927181244 0.7164294123649597 0.15739601850509644 0.00045890864566899836
    1.2.826.0.1.3680043.8.498.56076301587473756000948257992478778272 0.0001735810365062207 0.00017184334865305573 0.00022426227224059403 0.00031688337912783027 0.0005689823301509023 6.891792872920632e-05 0.0002566426992416382 0.017757505178451538 0.39531293511390686 0.7035988569259644 0.00017352057329844683
    1.2.826.0.1.3680043.8.498.11867287322910511144321301632635706573 0.00011939931573579088 0.00010056261817226186 0.0001415530568920076 0.00029089616145938635 0.00028163986280560493 0.00010370156087446958 0.0001372934493701905 0.003149311523884535 0.033711254596710205 0.9754147529602051 8.102666470222175e-05
    1.2.826.0.1.3680043.8.498.42152294480433784693076044782360559173 0.0003383027215022594 0.00038796840817667544 0.0005585425533354282 0.0006072444957681 0.0010240605333819985 5.507373862201348e-05 0.002353062853217125 0.007899788208305836 0.13095760345458984 0.8867451548576355 0.0002103480219375342
    1.2.826.0.1.3680043.8.498.76137010928876884002857459640566720478 0.0017728193197399378 0.004997623153030872 0.023151526227593422 0.003555544186383486 0.008057218044996262 0.01545175164937973 0.049486029893159866 0.06463386118412018 0.16326048970222473 0.9445874094963074 0.9262708425521851
    1.2.826.0.1.3680043.8.498.11078727376974825473344802019128034045 0.00020110416517127305 0.00018649846606422216 0.00010932319855783135 0.00029734178679063916 0.000260610890109092 0.00012201530626043677 0.00018454788369126618 0.04370458051562309 0.2664504647254944 0.804381251335144 0.00022958198678679764
    1.2.826.0.1.3680043.8.498.99472910663304421445928425920124540350 0.0029717825818806887 0.01359789352864027 0.06966019421815872 0.007216732017695904 0.02478259988129139 0.001301623065955937 0.16352134943008423 0.16500523686408997 0.241735577583313 0.5524109601974487 0.002027562353760004
    1.2.826.0.1.3680043.8.498.19383365230637420969956940750166905748 0.002963988808915019 0.14834611117839813 0.10757960379123688 0.0004344131739344448 0.0037086631637066603 0.001752111711539328 0.9982930421829224 0.06788346916437149 0.5653915405273438 0.7474321126937866 0.002859749598428607
    1.2.826.0.1.3680043.8.498.92127948746533020316120580395078330374 0.00042350380681455135 0.00033735105535015464 0.0003237487399019301 0.0009526360663585365 0.00031092410790733993 0.0010139421792700887 6.525231583509594e-05 0.05136116221547127 0.19456495344638824 0.7956675291061401 0.00042564229806885123
    1.2.826.0.1.3680043.8.498.63436677317765213360007240682449104525 0.004896863829344511 0.01317649520933628 0.010748791508376598 0.010929694399237633 0.04841655492782593 0.018938571214675903 0.7760939002037048 0.11677183955907822 0.2985602617263794 0.5763531923294067 0.002494869288057089
    1.2.826.0.1.3680043.8.498.23536016452093656377195386589251465403 0.00017916204524226487 0.0001614328648429364 0.00039956840919330716 0.0005898840026929975 0.000457868620287627 0.0005778180784545839 0.00018072038074024022 0.7180215120315552 0.07005168497562408 0.28983625769615173 0.00027303851675242186
    1.2.826.0.1.3680043.8.498.24260911792031702994888925871005278482 0.0003007443156093359 0.00031809660140424967 0.00025408234796486795 0.0003458551364019513 0.0004798044974450022 5.873611007700674e-05 0.00037120902561582625 0.08118163794279099 0.3709729313850403 0.5438157320022583 0.0003087621589656919
    1.2.826.0.1.3680043.8.498.69732945801025623137252476115122449268 0.0003580401244107634 0.0006014160462655127 0.000915366574190557 0.0006232529412955046 0.0005565897445194423 0.00043323630234226584 0.0013614199124276638 0.1072293072938919 0.04513350501656532 0.9331947565078735 0.00019087642431259155
    1.2.826.0.1.3680043.8.498.13251806958967575975611325596139481039 0.0002236457512481138 0.00012707359564956278 0.00012727096327580512 0.0004313297977205366 0.0002871639735531062 0.0001406453811796382 7.704871677560732e-05 0.023433038964867592 0.3846820294857025 0.6560235619544983 0.000246422307100147
    1.2.826.0.1.3680043.8.498.62813953611236028364600840374706522365 0.00031937286257743835 0.0004081740917172283 0.00039018254028633237 0.0003426295006647706 0.0006418427801690996 9.071431122720242e-05 0.00045959133422002196 0.022968167439103127 0.21044817566871643 0.7917772531509399 0.00017748173559084535
    1.2.826.0.1.3680043.8.498.10502261194071908750842054407272756856 0.0008408961002714932 0.0012732252944260836 0.001693128957413137 0.0013818938750773668 0.0026258062571287155 0.0003151136334054172 0.00365767115727067 0.01413380354642868 0.03982554376125336 0.9492330551147461 0.00039725014357827604
    1.2.826.0.1.3680043.8.498.29969022101009924083451247919472034407 0.016706252470612526 0.33578166365623474 0.5385314226150513 0.001953349681571126 0.011075561866164207 0.006659378297626972 0.9611164331436157 0.03677673265337944 0.23304963111877441 0.7751230001449585 0.00545100960880518
    1.2.826.0.1.3680043.8.498.22571763148596162898523116592326549689 0.0001497529592597857 0.00011834609176730737 0.0002613629912957549 0.00026374944718554616 0.0002920104598160833 9.085970668820664e-05 0.000261660577962175 0.005993325728923082 0.059882521629333496 0.9545585513114929 9.144846990238875e-05
    1.2.826.0.1.3680043.8.498.21977383977241950755787003095752249924 0.00025625788839533925 0.0003679150831885636 0.0010584009578451514 0.0007588076987303793 0.0003331934567540884 0.002159563358873129 8.249311213148758e-05 0.029271859675645828 0.26492899656295776 0.7181440591812134 0.00038987741572782397
    1.2.826.0.1.3680043.8.498.57792094818971601219804960407059159593 0.0019332340452820063 0.002372215036302805 0.0037566139362752438 0.005770224146544933 0.005982528906315565 0.0028656846843659878 0.0034271948970854282 0.28285151720046997 0.4333275854587555 0.3546566963195801 0.002448343439027667
    1.2.826.0.1.3680043.8.498.68935514831099019725777311956010576977 0.00035623987787403166 0.00036255974555388093 0.000484049174701795 0.0007745277252979577 0.0003034104884136468 0.000999431242235005 9.461781155550852e-05 0.1536427140235901 0.17308908700942993 0.6994345188140869 0.00047266349429264665
    1.2.826.0.1.3680043.8.498.12448890792148562590714134488882205580 0.0005607819766737521 0.0011810923460870981 0.0013515925966203213 0.001051746541634202 0.001403922215104103 0.0002895875950343907 0.0020502698607742786 0.07947351783514023 0.5651085376739502 0.45972856879234314 0.0006204957026056945
    1.2.826.0.1.3680043.8.498.86604502183957565477009045455476647275 0.00034450649400241673 0.000550595810636878 0.0012189028784632683 0.0006982203340157866 0.0011351368157193065 0.00014298289897851646 0.007910063490271568 0.034885503351688385 0.6728793382644653 0.44143128395080566 0.0003746215661522001
    1.2.826.0.1.3680043.8.498.23575491424286058563573872105118995875 0.00030746933771297336 0.0002596020349301398 0.00024094789114315063 0.0006175231537781656 0.0004834604333154857 0.0003908267826773226 0.00012749643065035343 0.15036849677562714 0.580179750919342 0.349572092294693 0.0003944172931369394
    1.2.826.0.1.3680043.8.498.86111609219511058886814003278315979796 0.0006554694846272469 0.0014531121123582125 0.0027068504132330418 0.0011769819539040327 0.0012293604668229818 0.002708206418901682 0.003705110400915146 0.027362003922462463 0.24908757209777832 0.7244477272033691 0.012970705516636372
    1.2.826.0.1.3680043.8.498.10260309912684073468071488370021112896 0.0005530758644454181 0.0005676576402038336 0.0006735741044394672 0.0010905012022703886 0.0016186463180929422 9.114794374909252e-05 0.001185099477879703 0.015464085154235363 0.06649769842624664 0.9471670985221863 0.00027175151626579463
    1.2.826.0.1.3680043.8.498.88467782328146131251240128720941510708 0.00040226205601356924 0.0003621627693064511 0.0002527198230382055 0.0005216088611632586 0.0006301420507952571 0.00030070781940594316 0.00025997747434303164 0.04440746456384659 0.3856882154941559 0.6150935888290405 0.0003018119605258107
    1.2.826.0.1.3680043.8.498.10694996478698911258121482827994442709 0.00012097433500457555 0.00019433462875895202 0.0005331229185685515 0.00026324737700633705 0.0001811799593269825 0.00038814550498500466 0.00014465021376963705 0.013640612363815308 0.06299692392349243 0.9604852795600891 9.618789044907317e-05
    1.2.826.0.1.3680043.8.498.77951800763085834374366741444647196143 0.0002749346604105085 0.00022227430599741638 0.00026874744798988104 0.0004993423353880644 0.0006290468154475093 8.67323687998578e-05 0.000568356947042048 0.10550186783075333 0.4197885990142822 0.4940182566642761 0.00033358883229084313
    1.2.826.0.1.3680043.8.498.19113233824069108322517509532650502973 0.00047379848547279835 0.0007224014261737466 0.000888312526512891 0.0007592061883769929 0.0013185173738747835 0.00015644087397959083 0.006040161941200495 0.024284202605485916 0.0384657084941864 0.9812097549438477 0.00021025841124355793
    1.2.826.0.1.3680043.8.498.40296083260034289699888586717958208826 0.007797800935804844 0.017386456951498985 0.017748434096574783 0.027844291180372238 0.16505570709705353 0.033950772136449814 0.7109710574150085 0.08620607852935791 0.14979851245880127 0.7618601322174072 0.0042633251287043095
    1.2.826.0.1.3680043.8.498.12252808447255221352203469771292459904 0.00023025907285045832 0.00017748516984283924 0.0002036884834524244 0.00040060639730654657 0.000550927419681102 4.797369911102578e-05 0.0002554940583650023 0.04019081965088844 0.21748344600200653 0.7904189229011536 0.00020681411842815578
    1.2.826.0.1.3680043.8.498.12011750532558237514291612630384841559 0.0032934006303548813 0.004085061606019735 0.0030748851131647825 0.005497853271663189 0.011548701673746109 0.00036358999204821885 0.014350916258990765 0.2949775159358978 0.2860882580280304 0.462780237197876 0.002668035216629505
    1.2.826.0.1.3680043.8.498.59993417643532429917698779852871479574 0.00045456545194610953 0.0006315810605883598 0.0011579658603295684 0.0011165875475853682 0.001353536732494831 0.0001660125853959471 0.00112558261025697 0.005436988081783056 0.1338827908039093 0.909308135509491 0.00028643463156186044
    1.2.826.0.1.3680043.8.498.13003551830952335994507063167526720722 0.036713797599077225 0.32177242636680603 0.3651013970375061 0.061229608952999115 0.09671060740947723 0.13416510820388794 0.7124398946762085 0.1279485523700714 0.4456697404384613 0.521228015422821 0.03370551019906998
    1.2.826.0.1.3680043.8.498.12855643842657297159313070822893310010 0.0005190160009078681 0.000670185370836407 0.0006341054104268551 0.0010270786006003618 0.0015400128904730082 0.00015756365610286593 0.000780371599830687 0.3752071261405945 0.6189075708389282 0.10559368133544922 0.0005197147838771343
    1.2.826.0.1.3680043.8.498.87243857516923083617293097762972962125 0.00041827777749858797 0.00033571262611076236 0.00041131203761324286 0.0011573232477530837 0.0004637764359358698 0.0008340569329448044 0.00023019741638563573 0.13021837174892426 0.25495919585227966 0.5394245386123657 0.0004680721031036228
    1.2.826.0.1.3680043.8.498.11416396432117877134872496318275440509 0.0009136386215686798 0.0012176928576081991 0.0012000403366982937 0.0016164241824299097 0.0018642533104866743 0.0015909383073449135 0.00594856683164835 0.24894781410694122 0.3545655608177185 0.5223056077957153 0.0009657815098762512
    1.2.826.0.1.3680043.8.498.65188552204724772923226420915005642289 0.0005353315500542521 0.0008144403109326959 0.003032074077054858 0.0019279231783002615 0.001174572971649468 0.0017620900180190802 0.0006056394777260721 0.09739605337381363 0.34772342443466187 0.5545557737350464 0.0006305714487098157
    1.2.826.0.1.3680043.8.498.99624821456987332781855549138840043872 0.0005417715874500573 0.0005382561939768493 0.0004038325569126755 0.0007447461248375475 0.0011422298848628998 9.05519409570843e-05 0.0014151574578136206 0.036603331565856934 0.047886546701192856 0.9270408749580383 0.0003025586192961782
    1.2.826.0.1.3680043.8.498.12979558424987509238851906025036247414 0.00024392816703766584 0.0002735858433879912 0.000460406910860911 0.00038143241545185447 0.0006093612755648792 0.000153689892613329 0.00026652697124518454 0.050161294639110565 0.014170026406645775 0.97870272397995 8.741292549530044e-05
    1.2.826.0.1.3680043.8.498.11265889615277314639992238201235812814 0.00035686386399902403 0.00025915351579897106 0.0003719182568602264 0.0004875952727161348 0.0005590383079834282 0.00034243176924064755 0.00014685244241263717 0.041838113218545914 0.11277749389410019 0.8565531969070435 0.00026259792502969503
    1.2.826.0.1.3680043.8.498.11434566265924037030969249598798219643 0.00021705080871470273 0.00020956443040631711 0.0001409739925293252 0.0003661218797788024 0.0003156526363454759 3.059877417399548e-05 0.0007508385460823774 0.016203932464122772 0.056011367589235306 0.9462648630142212 0.00015382400306407362
    1.2.826.0.1.3680043.8.498.12349546660101045251429588944345634724 0.00011842206731671467 0.00015751252067275345 0.00017805608513299376 0.0002169971412513405 0.00014361031935550272 0.00039364505209960043 3.9232862036442384e-05 0.02462526224553585 0.5847345590591431 0.4726376533508301 0.00014054824714548886
    1.2.826.0.1.3680043.8.498.19654633747818197797287088350229790813 0.00019987582345493138 0.00017074510105885565 0.000586321868468076 0.0005276152514852583 0.00019481260096654296 0.0009191116550937295 4.1115541534963995e-05 0.02544228360056877 0.12082169950008392 0.8922978639602661 0.00019283358415123075
    1.2.826.0.1.3680043.8.498.53492401950409115148799703113391883826 0.0003284441481810063 0.00021486177865881473 0.0001979347289307043 0.00044094398617744446 0.0006091265822760761 7.415363506879658e-05 0.00025368883507326245 0.029786353930830956 0.13981036841869354 0.8368838429450989 0.0002636770368553698
    1.2.826.0.1.3680043.8.498.72306368448474995244500819754325150837 0.00016407901421189308 0.00022424366034101695 0.00037274989881552756 0.0006158206961117685 0.0002488624886609614 0.0005314582376740873 0.00010370709787821397 0.00582302687689662 0.009805865585803986 0.9938076734542847 8.19438646431081e-05
    1.2.826.0.1.3680043.8.498.51322708895403377229223996784114709944 0.000271308672381565 0.00025264741270802915 0.00038822958595119417 0.0006323334528133273 0.0005778659251518548 0.00046244869008660316 0.00033820237149484456 0.008657941594719887 0.04485657811164856 0.9514153599739075 0.00026510999305173755
    1.2.826.0.1.3680043.8.498.11305417340473973109303057608692472165 0.00031072230194695294 0.00038878785562701523 0.0004927720874547958 0.00048814169713295996 0.0006330638425424695 3.596583701437339e-05 0.004549544770270586 0.03749276325106621 0.11606629192829132 0.8773493766784668 0.0002522900467738509
    1.2.826.0.1.3680043.8.498.25900617632847039408118039085415490735 0.0002736225724220276 0.00027195204165764153 0.0002219272282673046 0.0004483364464249462 0.000393033871660009 0.00015349128807429224 0.00022184793488122523 0.023102035745978355 0.07882089167833328 0.9235578775405884 0.0001799811579985544
    1.2.826.0.1.3680043.8.498.58570842484328102707244861192505250055 0.00023525914002675563 0.0001677717373240739 0.00028708664467558265 0.0006922219763509929 0.00041984915151260793 0.00035567223676480353 8.171946683432907e-05 0.06777676194906235 0.23086722195148468 0.7083673477172852 0.00031179768848232925
    1.2.826.0.1.3680043.8.498.14264551308659941770093260499074887368 0.001525898464024067 0.004217061214148998 0.005008724518120289 0.0031726036686450243 0.0045022605918347836 0.00037111094570718706 0.009215286001563072 0.27198344469070435 0.47323399782180786 0.21231205761432648 0.0011275013675913215
    1.2.826.0.1.3680043.8.498.52946595719554516655652811298416505080 0.00020592790679074824 0.00023914505436550826 0.00045339917414821684 0.00043782294960692525 0.0003482392930891365 0.00023875552869867533 0.00019685333245433867 0.05824391916394234 0.14080879092216492 0.8168002367019653 0.00028099463088437915
    1.2.826.0.1.3680043.8.498.71130466071562624616450708251469910801 0.00032455672044306993 0.00037896886351518333 0.0011050284374505281 0.0011338319163769484 0.000468401558464393 0.0013748540077358484 0.0003673094033729285 0.01075969822704792 0.10683321952819824 0.8770845532417297 0.00019536400213837624
    1.2.826.0.1.3680043.8.498.69884507366389187993959227314549444118 0.0006048401701264083 0.0007682989817112684 0.0013806682545691729 0.0010628732852637768 0.0019142525270581245 0.0006252658786252141 0.0009161373600363731 0.019865181297063828 0.1828172653913498 0.8854759335517883 0.00034554293961264193
    1.2.826.0.1.3680043.8.498.13921573134691786465732685742066626543 0.0003193774027749896 0.00043829181231558323 0.0005994213279336691 0.0005987047334201634 0.0009428951889276505 9.961570322047919e-05 0.0015348064480349422 0.02787104621529579 0.07905754446983337 0.9339613914489746 0.00039494154043495655
    1.2.826.0.1.3680043.8.498.77155071216609876845679853611822305922 0.00031689321622252464 0.0002051866613328457 0.00041979760862886906 0.00044490682194009423 0.000692046363838017 6.525793287437409e-05 0.00021489984646905214 0.056871335953474045 0.06441958993673325 0.8778077363967896 0.00020237643911968917
    1.2.826.0.1.3680043.8.498.11694993199026974441785249270866674772 0.00043188376002945006 0.00045386439887806773 0.0006770335021428764 0.0009545356733724475 0.0008984298328869045 0.00046604397357441485 0.0003278755466453731 0.13467352092266083 0.1644454300403595 0.7277073860168457 0.0004562883113976568
    1.2.826.0.1.3680043.8.498.59348873938103850790314158434646066324 0.015137521550059319 0.2529575526714325 0.5775812864303589 0.0206659734249115 0.07977916300296783 0.06622694432735443 0.8184891939163208 0.03273341432213783 0.15359355509281158 0.816041111946106 0.0020748351234942675
    1.2.826.0.1.3680043.8.498.40342275323579635311669526387063754382 0.00035191141068935394 0.0008725241059437394 0.0017912801122292876 0.0013413463020697236 0.0003744174900930375 0.009077814407646656 9.644692909205332e-05 0.07433505356311798 0.49806928634643555 0.6159433126449585 0.0006904753972776234
    1.2.826.0.1.3680043.8.498.10349970508381926692960080174114628588 0.0001494224270572886 0.00011388429265934974 0.00016095989849418402 0.00024252626462839544 0.00026278276345692575 6.705136911477894e-05 0.00010332818783354014 0.01660401187837124 0.08359697461128235 0.9165921211242676 9.153170685749501e-05
    1.2.826.0.1.3680043.8.498.51138481978001556421021141948870967708 0.0001839840115280822 0.00019796860578935593 0.0001823698403313756 0.00019338811398483813 0.00025838776491582394 1.2079005500709172e-05 0.002795158652588725 0.021884078159928322 0.14235691726207733 0.8412390947341919 0.00011940032709389925
    1.2.826.0.1.3680043.8.498.85672691358383440461661708340999373126 0.0007271748618222773 0.0007760875741951168 0.0009526794892735779 0.0011442985851317644 0.001642860472202301 0.0002986927574966103 0.0011621203739196062 0.025192851200699806 0.20906920731067657 0.7511736154556274 0.00046063680201768875
    1.2.826.0.1.3680043.8.498.25035066606601321901550505498025379529 0.00015643477672711015 0.00014357556938193738 0.00018055291729979217 0.0002727088867686689 0.0002516891690902412 0.00021410729095805436 9.246466652257368e-05 0.00911417230963707 0.04916123300790787 0.9457899928092957 0.0001283695746678859
    1.2.826.0.1.3680043.8.498.21875922812011509518781069613304061717 0.0006115281721577048 0.0006619762862101197 0.001469713170081377 0.001148775452747941 0.0009492809185758233 0.0011966668535023928 0.00046313187340274453 0.06708135455846786 0.2836313247680664 0.5935314893722534 0.0011904699495062232
    1.2.826.0.1.3680043.8.498.50089399975512358305204190544841821781 0.00017544177535455674 0.00016676053928676993 0.0002986372564919293 0.00029234259272925556 0.00045591226080432534 4.61016534245573e-05 0.00022250984329730272 0.01587548479437828 0.08198022842407227 0.9182834625244141 9.219569619745016e-05
    1.2.826.0.1.3680043.8.498.84426963866045652416487962877376980319 0.00022088359401095659 0.0002485348959453404 0.00035828317049890757 0.00024352269247174263 0.0003237683267798275 2.7126419809064828e-05 0.0006673872703686357 0.03994796797633171 0.3340429663658142 0.7215851545333862 0.00022610079031437635
    1.2.826.0.1.3680043.8.498.65595080475854515383410828706105830291 0.00045399655937217176 0.000743052689358592 0.0005995569517835975 0.0006258335779421031 0.0010122228413820267 0.00012175950541859493 0.0011461249087005854 0.33398300409317017 0.6891086101531982 0.1068095937371254 0.00038127461448311806
    1.2.826.0.1.3680043.8.498.11441654860497154417643464107253305169 0.00012005706958007067 0.0001312385284109041 0.0001700415014056489 0.0001785282074706629 0.00021380302496254444 1.6311869330820628e-05 0.0003070771927013993 0.02427848055958748 0.05310118943452835 0.943196177482605 6.013717575115152e-05
    1.2.826.0.1.3680043.8.498.13166444474172788771089237751164159061 0.00017389209824614227 0.00017926454893313348 0.0002616959100123495 0.0002894677163567394 0.0002963511797133833 0.00021856938838027418 0.00014208417269401252 0.04898444935679436 0.08876331150531769 0.9161289930343628 0.00014852019376121461
    1.2.826.0.1.3680043.8.498.73597702963254517513464139199550282192 0.014789760112762451 0.2785789370536804 0.2643517553806305 0.018104609102010727 0.027391161769628525 0.5320543050765991 0.3103780150413513 0.08037102222442627 0.5254300236701965 0.6711337566375732 0.00479505117982626
    1.2.826.0.1.3680043.8.498.81337024563731789426935823753862228826 0.0003231818263884634 0.0004927770933136344 0.0004592514014802873 0.0004235942324157804 0.0008096180972643197 5.539029370993376e-05 0.0018170917173847556 0.046411238610744476 0.08097447454929352 0.8472287058830261 0.00025744031881913543
    1.2.826.0.1.3680043.8.498.92099176637141008176996196598100503191 0.0002025050634983927 0.0002911376650445163 0.0002883183187805116 0.00019077752949669957 0.00024219330225605518 2.9323127819225192e-05 0.001342741772532463 0.11733739078044891 0.13452965021133423 0.7709310054779053 0.00016233250789809972
    1.2.826.0.1.3680043.8.498.15184360250683494103947014630886072902 0.026255663484334946 0.18974559009075165 0.36202871799468994 0.029923301190137863 0.08129830658435822 0.3135302662849426 0.6883172392845154 0.19133707880973816 0.5270013213157654 0.5998104810714722 0.024856850504875183
    1.2.826.0.1.3680043.8.498.25332688093106157387580165004365215592 0.00047691105282865465 0.0003768236201722175 0.0005421534879133105 0.0010052190627902746 0.0011203825706616044 0.00011350685963407159 0.0010019674664363265 0.015167778357863426 0.05639691278338432 0.9327530860900879 0.0003211221192032099
    1.2.826.0.1.3680043.8.498.12848125058220381826399852194061334164 0.0013331671943888068 0.0022692130878567696 0.0019823655020445585 0.0029991522897034883 0.0030100734438747168 0.004982476122677326 0.0021644968073815107 0.08882910758256912 0.3179605305194855 0.5881739258766174 0.0009487068164162338
    1.2.826.0.1.3680043.8.498.36526807187825773973187162978861495464 0.004267973825335503 0.011595061048865318 0.04436541348695755 0.012380361557006836 0.019096124917268753 0.021431591361761093 0.10128326714038849 0.037266165018081665 0.14677175879478455 0.9521948099136353 0.9887309074401855
    1.2.826.0.1.3680043.8.498.13206384207357985819198612139841390479 0.00019742679432965815 0.0001492446317570284 0.0002795852778945118 0.0003587491810321808 0.0004081514198333025 9.39935925998725e-05 0.0001773637195583433 0.07528270781040192 0.459028959274292 0.46438130736351013 0.00018297196947969496
    1.2.826.0.1.3680043.8.498.53725251696861217838018966761541956618 0.00044113220064900815 0.000434907793533057 0.00036465743323788047 0.0007493895827792585 0.0009910163935273886 6.875459075672552e-05 0.0016391060780733824 0.20707988739013672 0.2692025303840637 0.4983326494693756 0.0005148656782694161
    1.2.826.0.1.3680043.8.498.12869895281443660650885890232426636437 0.00027471978683024645 0.0001876542519312352 0.00027931545628234744 0.0005917380331084132 0.0004963673418387771 0.0002376018965151161 0.0001237575925188139 0.018107820302248 0.2244621217250824 0.8250459432601929 0.00018263481615576893
    1.2.826.0.1.3680043.8.498.94724032633531510407489052952636864919 0.00047246128087863326 0.0004555061459541321 0.00037418503779917955 0.0007682152790948749 0.0008152417722158134 0.0005987244658172131 0.00012329829041846097 0.6080468893051147 0.28938502073287964 0.2715727686882019 0.0012755065690726042
    1.2.826.0.1.3680043.8.498.59477040241469884948843920263069763346 0.0004054395540151745 0.00042977341217920184 0.0006218587514013052 0.0011815059697255492 0.0005780524807050824 0.0011871855240315199 0.00020614650566130877 0.027008360251784325 0.06772758066654205 0.9228614568710327 0.0003121321205981076
    1.2.826.0.1.3680043.8.498.15625042933822056976208158001947016726 0.0008949495968408883 0.005156738683581352 0.004942083731293678 0.002324038650840521 0.0023038939107209444 0.00015522634203080088 0.023424025624990463 0.015612667426466942 0.06677094101905823 0.9661704897880554 0.00041745410999283195
    1.2.826.0.1.3680043.8.498.11982913342905374100673622492979995898 0.00020518378005363047 0.00020180425781290978 0.0002030811447184533 0.0003279081138316542 0.00030283888918347657 0.0001713281963020563 0.00013638852396979928 0.018970342352986336 0.43888720870018005 0.6096104383468628 0.0001865416852524504
    1.2.826.0.1.3680043.8.498.86578682365844932756138267620901500916 0.00031033254344947636 0.0002102973812725395 0.0002332961157662794 0.0003755604266189039 0.0006413471419364214 3.138746978947893e-05 0.0005083187716081738 0.04944680258631706 0.362693727016449 0.5710451602935791 0.00027612067060545087
    1.2.826.0.1.3680043.8.498.51543181138173747482357886275522130924 0.041258059442043304 0.5682913661003113 0.406733900308609 0.03431009501218796 0.038328152149915695 0.614702582359314 0.27879053354263306 0.11408586800098419 0.4038518965244293 0.7177886962890625 0.0873948186635971
    1.2.826.0.1.3680043.8.498.40203072026072006622822762645875617085 0.018750865012407303 0.253446102142334 0.8004710078239441 0.08575531840324402 0.06520774215459824 0.42916837334632874 0.5122307538986206 0.33059051632881165 0.5321632027626038 0.20206396281719208 0.006966018583625555
    1.2.826.0.1.3680043.8.498.41019754040564232698009697317079761825 0.0002052328345598653 0.00014210496738087386 0.00016335821419488639 0.00036489887861534953 0.0004289184289518744 4.730685759568587e-05 0.00036439913674257696 0.052969831973314285 0.6423102021217346 0.3933967053890228 0.00020591748761944473
    1.2.826.0.1.3680043.8.498.77729019566802090349655864720931031792 0.0015247832052409649 0.0011648793006315827 0.001148010604083538 0.0058393171057105064 0.006476276554167271 0.0009591604466550052 0.0109360096976161 0.04466775432229042 0.059731125831604004 0.9120215177536011 0.0007423319038935006
    1.2.826.0.1.3680043.8.498.72096709498421869376154854673890075666 0.00010228174505755305 0.00012580794282257557 0.00033225753577426076 0.000380294572096318 0.00011468514276202768 0.0004425620718393475 2.716865492402576e-05 0.009051887318491936 0.06377126276493073 0.9526316523551941 0.00010653350909706205
    1.2.826.0.1.3680043.8.498.33814846955642302527654343573103155840 0.013125814497470856 0.12458620220422745 0.7500728368759155 0.013006259687244892 0.051717884838581085 0.004930076189339161 0.8820971250534058 0.0833188071846962 0.1934012472629547 0.9046869277954102 0.6737130880355835
    1.2.826.0.1.3680043.8.498.68983375914648925222026339268197286562 0.00039536546682938933 0.002089819870889187 0.0013334122486412525 0.0002723372308537364 0.00044849253026768565 5.1975650421809405e-05 0.10596443712711334 0.15708087384700775 0.49482613801956177 0.6674246191978455 0.0005737473838962615
    1.2.826.0.1.3680043.8.498.95892971303168405021011915731570647032 0.00044177184463478625 0.0007523101521655917 0.0010980271035805345 0.001375296851620078 0.0005669737001881003 0.006922256201505661 0.00022092062863521278 0.2386314421892166 0.42826977372169495 0.37452882528305054 0.0009189842967316508
    1.2.826.0.1.3680043.8.498.21434116527874547705593901471963352249 0.0001904390228446573 0.0002329530834686011 0.00021686285617761314 0.000625480548478663 0.00015488205826841295 0.0010921827051788568 3.5638622648548335e-05 0.0680307075381279 0.41045325994491577 0.4644249379634857 0.000322144158417359
    1.2.826.0.1.3680043.8.498.38317279627863831147221778398898128500 0.0003988964017480612 0.0005039434181526303 0.00026830125716514885 0.0004220028349664062 0.0005727105308324099 3.344780998304486e-05 0.004564984701573849 0.06796953827142715 0.5053436160087585 0.4902130961418152 0.00042028757161460817
    1.2.826.0.1.3680043.8.498.33076713145280803296329300672107240005 0.00023323344066739082 0.00018559175077825785 0.00021311345335561782 0.000706575985532254 0.0003179314953740686 0.00040490474202670157 8.51758595672436e-05 0.0357278510928154 0.19436481595039368 0.7597693204879761 0.00024520669830963016
    1.2.826.0.1.3680043.8.498.84162646959415684613862607493072054700 0.0003765634319279343 0.0004937420599162579 0.000926160893868655 0.0008047826704569161 0.0006339224637486041 0.002130360109731555 0.000370512658264488 0.05980246514081955 0.251142680644989 0.7919837236404419 0.0005689453100785613
    1.2.826.0.1.3680043.8.498.46834382345374280697632195594116891600 0.0001418832689523697 0.00019416093709878623 0.0004167005536146462 0.000780484639108181 6.713661423418671e-05 0.002693973481655121 9.67474807112012e-06 0.0440523624420166 0.2042769193649292 0.834311306476593 0.00037727190647274256
    1.2.826.0.1.3680043.8.498.13026375473909868423752270491544326347 0.000770304468460381 0.0242915078997612 0.9676918983459473 0.00161860475782305 0.011888332664966583 0.03930680826306343 0.9711054563522339 0.046779654920101166 0.26361995935440063 0.9207123517990112 0.0014332372229546309
    1.2.826.0.1.3680043.8.498.13308403439983761744328327671857701783 0.002214553765952587 0.001362600945867598 0.001834240392781794 0.01102487277239561 0.032231420278549194 0.00838417001068592 0.05661870166659355 0.027354981750249863 0.08242817968130112 0.8266221284866333 0.001577190705575049
    1.2.826.0.1.3680043.8.498.11745003105349988907642718712100713610 0.012470796704292297 0.2083008736371994 0.6670339107513428 0.0052786292508244514 0.02705632708966732 0.012314469553530216 0.8532050848007202 0.1035812497138977 0.26582980155944824 0.2828168272972107 0.001979343593120575
    1.2.826.0.1.3680043.8.498.82731875865819934936747344990205328982 0.00027443605358712375 0.0006056818529032171 0.0011946266749873757 0.0006970496033318341 0.0010880016488954425 5.7282759371446446e-05 0.004673188552260399 0.005683331750333309 0.03257022425532341 0.9800599217414856 0.00014258624287322164
    1.2.826.0.1.3680043.8.498.75513761934649928521115766450369441756 0.0002334303717361763 0.0003555190342012793 0.0003539906465448439 0.00018527863721828908 0.0002700454497244209 3.8241796573856845e-05 0.002756243571639061 0.06627096235752106 0.15659023821353912 0.798902690410614 0.0002295658050570637
    1.2.826.0.1.3680043.8.498.85128540199621081078094608430448914099 0.0009811624186113477 0.003123002825304866 0.011013023555278778 0.002347690286114812 0.001519123325124383 0.011061334982514381 0.0004410773981362581 0.1469343602657318 0.11745156347751617 0.7783646583557129 0.0004182917473372072
    1.2.826.0.1.3680043.8.498.38181548250512321984610074993299721719 0.0003960719332098961 0.00045373430475592613 0.00027330982265993953 0.0006179225747473538 0.0007243178552016616 0.0001088703065761365 0.0007665181183256209 0.22519901394844055 0.38295164704322815 0.39896607398986816 0.00046564172953367233
    1.2.826.0.1.3680043.8.498.29683467872159521484417832624771602039 0.033635519444942474 0.5428420305252075 0.3097500503063202 0.01452336274087429 0.03557101637125015 0.06338991969823837 0.8911229372024536 0.05430131405591965 0.20090369880199432 0.21212296187877655 0.0005572703084908426
    1.2.826.0.1.3680043.8.498.63789271248915249051627213860956300453 0.0006031799130141735 0.0006407538312487304 0.000917590397875756 0.0011252828408032656 0.002022774424403906 0.00020088988821953535 0.0012647310504689813 0.01615053601562977 0.041282448917627335 0.9585025906562805 0.0002772299339994788
    1.2.826.0.1.3680043.8.498.80961478173142808599634442402340934996 0.0004482724179979414 0.0007393628475256264 0.0013112967135384679 0.0006259094807319343 0.0011798569466918707 0.00012190259440103546 0.003847164334729314 0.09350613504648209 0.09120814502239227 0.8809105157852173 0.0002709140535444021
    1.2.826.0.1.3680043.8.498.25374944911002632009538621050773048228 0.0012320916866883636 0.0016508435364812613 0.0021881498396396637 0.0030503973830491304 0.0032958700321614742 0.0003308721643406898 0.005278411787003279 0.019697044044733047 0.11469472944736481 0.8983146548271179 0.001037213602103293
    1.2.826.0.1.3680043.8.498.68075562734506078666135313927463122598 0.00011203634494449943 9.269201837014407e-05 0.0001376486907247454 0.00024950451916083694 0.0004913323209621012 2.526733987906482e-05 0.0003017241833731532 0.004265039227902889 0.02644137106835842 0.9819086194038391 6.668760033790022e-05
    1.2.826.0.1.3680043.8.498.68088357757706297879198304973945828994 0.00043397542322054505 0.00032415761961601675 0.00032865587854757905 0.0006523042684420943 0.0008704932406544685 7.511727744713426e-05 0.0007646019803360105 0.042729392647743225 0.17981719970703125 0.7931824922561646 0.00029611153877340257
    1.2.826.0.1.3680043.8.498.79362393695427654071380478367658885754 0.00011698284652084112 6.488143844762817e-05 7.327381172217429e-05 0.00017997667600866407 0.00013520543870981783 4.6980952902231365e-05 5.209535447647795e-05 0.022275473922491074 0.09409929811954498 0.8772307634353638 7.564322731923312e-05
    1.2.826.0.1.3680043.8.498.63989088778450621899506714725059684733 0.00039516700780950487 0.0003870012587867677 0.00043022638419643044 0.0006237204652279615 0.0007925988174974918 0.0003320395480841398 0.00034880018210969865 0.011742539703845978 0.2673397660255432 0.808117687702179 0.00021870111231692135
    1.2.826.0.1.3680043.8.498.24534144336676069329820631282662543098 0.00022485382214654237 0.00015055762196425349 0.00038897412014193833 0.0006442834855988622 0.00031810274231247604 0.00038277695421129465 0.000125300299259834 0.013898728415369987 0.03923705965280533 0.9416580200195312 0.00016689248150214553
    1.2.826.0.1.3680043.8.498.93728352183298836760263406339666858739 0.003661070019006729 0.1266820728778839 0.8776386380195618 0.0060160281136631966 0.0434509739279747 0.05416293814778328 0.7313309907913208 0.0321492925286293 0.33390572667121887 0.9038944244384766 0.001341362833045423
    1.2.826.0.1.3680043.8.498.12062588268941104584480291369785240088 0.006766508333384991 0.009722539223730564 0.01184692233800888 0.015266974456608295 0.014025297947227955 0.01435072161257267 0.015998931601643562 0.35427021980285645 0.247719407081604 0.5625162720680237 0.005858276039361954
    1.2.826.0.1.3680043.8.498.12059628782538776066321808462901543583 0.0001812291593523696 0.0001509288267698139 0.0001727931812638417 0.00025327003095299006 0.00021019569248892367 0.00018647308752406389 6.824736192356795e-05 0.11183693259954453 0.07597954571247101 0.8719478845596313 0.0001587896404089406
    1.2.826.0.1.3680043.8.498.92145120790266970874710708006146569073 0.00040241662645712495 0.00033512074151076376 0.0005397657514549792 0.000921175058465451 0.0011599044082686305 0.00012520002201199532 0.0006799801485612988 0.02213607355952263 0.11990014463663101 0.8279660940170288 0.00029467357671819627
    1.2.826.0.1.3680043.8.498.82607116836140020508733806544413261648 0.0030215911101549864 0.012436994351446629 0.024121394380927086 0.003806375665590167 0.006594822742044926 0.0023889089934527874 0.14296425879001617 0.05980132147669792 0.1636938899755478 0.9084760546684265 0.7759237289428711
    1.2.826.0.1.3680043.8.498.47772648933107256406852341494370445280 0.0003503264451865107 0.000252468918915838 0.0005323913646861911 0.00101627002004534 0.0011280395556241274 0.00042861481779254973 0.000502906390465796 0.007886035367846489 0.01774509809911251 0.986926257610321 0.00017283830675296485
    1.2.826.0.1.3680043.8.498.76424543454010644565337965890534038861 0.0014287915546447039 0.003079428803175688 0.005272921174764633 0.0029597594402730465 0.0024463513400405645 0.004302544519305229 0.001873976900242269 0.0703781247138977 0.3168923556804657 0.7567042112350464 0.0011339891934767365
    1.2.826.0.1.3680043.8.498.16007554950779581222104511678263250649 0.00010745340114226565 7.90217163739726e-05 0.00012513200636021793 0.00022151188750285655 0.00021720316726714373 6.595945887966082e-05 0.00015715116751380265 0.02513779327273369 0.5726746916770935 0.46078377962112427 0.00010004566138377413
    1.2.826.0.1.3680043.8.498.74365523459297500152910533832896908014 0.00023390496789943427 0.0002791619044728577 0.00033117481507360935 0.00025037844898179173 0.0004707084153778851 4.0751030610408634e-05 0.0012760951649397612 0.1304195672273636 0.2099457085132599 0.5843958854675293 0.0002564041642472148
    1.2.826.0.1.3680043.8.498.10534431772579363625022920669999184568 0.0005014248890802264 0.0003477013378869742 0.0005285696242935956 0.0010292151710018516 0.0023502535186707973 0.0001477315672673285 0.001677794731222093 0.029018262401223183 0.06108037382364273 0.8894294500350952 0.00028220409876666963
    1.2.826.0.1.3680043.8.498.25120636202885772283510705001643703390 0.0001903802913147956 0.00017171709623653442 0.00024059084535110742 0.0003691550809890032 0.0004786859208252281 3.697171632666141e-05 0.000356815115083009 0.012919547036290169 0.08111071586608887 0.9384341239929199 0.00010552148160059005
    1.2.826.0.1.3680043.8.498.62276937108197463997268529848401296697 0.0002371802693232894 0.00016600875824224204 0.0004076437617186457 0.0003814874216914177 0.0006073803524486721 0.00012240742216818035 0.00025299476692453027 0.025096356868743896 0.17948201298713684 0.7576403021812439 0.00025692497729323804
    1.2.826.0.1.3680043.8.498.19151938819444599276573996360703934928 8.25903334771283e-05 7.075635949149728e-05 0.00011773985897889361 0.00017650963854975998 0.00022627906582783908 1.6557683920837007e-05 0.00016943539958447218 0.0031261947005987167 0.013245527632534504 0.9904403686523438 3.861707227770239e-05
    1.2.826.0.1.3680043.8.498.42462881150560931220760484678014528071 0.00022349196660798043 0.00028206940623931587 0.0003088062512688339 0.00026020006043836474 0.0003934325068257749 0.0001343284675385803 0.0005779695929959416 0.008202912285923958 0.2304038554430008 0.825015664100647 0.00012489091022871435
    1.2.826.0.1.3680043.8.498.30703677375025503851591615044065591239 0.0042628338560462 0.09508395195007324 0.8604997396469116 0.004921901971101761 0.024395782500505447 0.02789861522614956 0.8989057540893555 0.0770455151796341 0.2919762134552002 0.37999579310417175 0.0013225909788161516
    1.2.826.0.1.3680043.8.498.11442475880871947566588296544455317262 0.0003236430638935417 0.0002266021037939936 0.0002783905656542629 0.0007786226342432201 0.0007005864754319191 0.0001728094939608127 0.0002395388437435031 0.00827439222484827 0.06527723371982574 0.00019515988242346793
    1.2.826.0.1.3680043.8.498.97552059269979816562182050082940942109 0.0006456946721300483 0.0014102371642366052 0.00223733251914382 0.0013214622158557177 0.0018154451390728354 0.0039646560326218605 0.003103807335719466 0.02310776710510254 0.05656763166189194 0.9597067832946777 0.0003491289680823684
    1.2.826.0.1.3680043.8.498.11332432396260300150045626947342941000 0.0003051915264222771 0.00032293188269250095 0.00035066873533651233 0.0004260276909917593 0.0005476073711179197 6.602939538424835e-05 0.0004811242106370628 0.058002717792987823 0.22480182349681854 0.7197964191436768 0.00023191636137198657
    1.2.826.0.1.3680043.8.498.67297136796675393125185975796076400928 9.361585398437455e-05 7.770321099087596e-05 8.880857785698026e-05 0.0002315285091754049 9.163588401861489e-05 0.00011738863395294175 2.1647663743351586e-05 0.015513351187109947 0.045035362243652344 0.9537326693534851 8.156231342582032e-05
    1.2.826.0.1.3680043.8.498.12084742350080025816136545512981338744 0.000369878311175853 0.0003305534482933581 0.000503131072036922 0.0005814772448502481 0.0010529662249609828 0.00010116920020664111 0.0006912702810950577 0.0068501755595207214 0.08423041552305222 0.9541524052619934 0.00018241090583615005
    1.2.826.0.1.3680043.8.498.75366524987372652222109802626279268324 0.00022795524273533374 0.00016412582772318274 0.00024142356414813548 0.0004043154767714441 0.00037116793100722134 0.00018775231728795916 0.00012416273239068687 0.07664595544338226 0.5521541833877563 0.4487742781639099 0.00029513105982914567
    1.2.826.0.1.3680043.8.498.13222215139939288919102606970032345226 0.00010849542741198093 0.00014093668141867965 0.00032934360206127167 0.0001834943686844781 0.00038969857268966734 4.6066408685874194e-05 0.00021731127344537526 0.005603231955319643 0.028826192021369934 0.9749331474304199 4.488956619752571e-05
    1.2.826.0.1.3680043.8.498.89438318926452850242073182730349470545 0.00046426369226537645 0.00036661484045907855 0.0008654386037960649 0.0007879341137595475 0.0013069674605503678 0.00034935123403556645 0.0007835766300559044 0.0447494275867939 0.2710482180118561 0.6332250833511353 0.0003823743318207562
    1.2.826.0.1.3680043.8.498.90145772595332435125933759813571967663 0.0029935927595943213 0.06058086082339287 0.9413057565689087 0.015252051874995232 0.07799603790044785 0.04003067687153816 0.8179975748062134 0.06753813475370407 0.2098674774169922 0.12792468070983887 0.0003657663764897734
    1.2.826.0.1.3680043.8.498.68352328375126676233387318716446691607 0.0002800145884975791 0.000324565073242411 0.00032869918504729867 0.00035313767148181796 0.0006328945746645331 3.557882155291736e-05 0.0005422318354249001 0.029452959075570107 0.17190305888652802 0.7857200503349304 0.00022988072305452079
    1.2.826.0.1.3680043.8.498.58050449690054864167288943297119362552 0.0018907214980572462 0.022683966904878616 0.9515854120254517 0.010051010176539421 0.04862522706389427 0.07581385970115662 0.46217042207717896 0.09910780191421509 0.4232717454433441 0.6479206085205078 0.001539234654046595
    1.2.826.0.1.3680043.8.498.46184388065832490965371114414660300687 0.0010854689171537757 0.001565521233715117 0.0016132956370711327 0.001679189270362258 0.002726676408201456 0.0011978289112448692 0.002052852651104331 0.12917183339595795 0.29906076192855835 0.5726512670516968 0.0010955540928989649
    1.2.826.0.1.3680043.8.498.97862987207222029044126522105923192311 0.0021630707196891308 0.08343394100666046 0.9015982747077942 0.012900340370833874 0.02378837764263153 0.09246071428060532 0.7909424304962158 0.07463255524635315 0.34759289026260376 0.10329346358776093 0.0004450709675438702
    1.2.826.0.1.3680043.8.498.12663998745544882177655814105322709129 0.0004226578457746655 0.0003283400437794626 0.0006024403846822679 0.0007383814663626254 0.0008728659013286233 0.00014904860290698707 0.0002626088389661163 0.027263600379228592 0.10320238769054413 0.8629482984542847 0.00031555822351947427
    1.2.826.0.1.3680043.8.498.20518495816221518077962659216085063199 0.00035901417140848935 0.00031636780477128923 0.0006228298880159855 0.0006417594267986715 0.0006989772664383054 0.000125693462905474 0.0005185786285437644 0.13311712443828583 0.14516837894916534 0.7189272046089172 0.0006906972848810256
    1.2.826.0.1.3680043.8.498.11795783196008486574833258719473289165 0.0020472067408263683 0.019897397607564926 0.9176501035690308 0.03555123135447502 0.03358321264386177 0.33865678310394287 0.054672934114933014 0.12083200365304947 0.10036276280879974 0.7288879156112671 0.0032176331151276827
    1.2.826.0.1.3680043.8.498.47352367605852953826381745382209334882 0.00035434437450021505 0.0004048171977046877 0.0005202447646297514 0.0003258592914789915 0.0007194160134531558 9.213290468323976e-05 0.000780328584369272 0.098813496530056 0.13371795415878296 0.7868191003799438 0.00022968424309510738
    1.2.826.0.1.3680043.8.498.57856691281891637868457477117125019058 0.002669914159923792 0.12843458354473114 0.2698515057563782 0.0017160255229100585 0.012759898789227009 0.004720271099358797 0.9883429408073425 0.03130112215876579 0.1776549518108368 0.1963518261909485 0.0003459813888184726
    1.2.826.0.1.3680043.8.498.29603092215317636176352722204727653480 0.0004072616866324097 0.00028824637411162257 0.0005507515743374825 0.0005740522756241262 0.0008641166496090591 0.00010090073192259297 0.0007397476001642644 0.01211500819772482 0.16651980578899384 0.8479303121566772 0.0002808275748975575
    1.2.826.0.1.3680043.8.498.12213379920528428416141190369112117770 0.00042272117570973933 0.0003910826053470373 0.0005673818523064256 0.0010164922568947077 0.0017669216031208634 0.0003253834438510239 0.0012637662002816796 0.008923297747969627 0.013880853541195393 0.9841915965080261 0.0001609533210285008
    1.2.826.0.1.3680043.8.498.96953335424542303390657192260805546309 0.00044550816528499126 0.005192224867641926 0.9952542185783386 0.011575985699892044 0.03227762132883072 0.027069121599197388 0.1094946637749672 0.0386955700814724 0.24536871910095215 0.861930251121521 0.0008569162455387414
    1.2.826.0.1.3680043.8.498.12159077940672329061219063143878322905 0.009672421030700207 0.145562544465065 0.6050713658332825 0.015749886631965637 0.026682663708925247 0.09960788488388062 0.24713179469108582 0.21512456238269806 0.7785845398902893 0.5605202317237854 0.002925596199929714
    1.2.826.0.1.3680043.8.498.38340145259637343870382722962594526724 0.0004007274692412466 0.000337161443894729 0.0006883138557896018 0.0012210820568725467 0.0011229186784476042 0.0006604957743547857 0.0003679401124827564 0.012100635096430779 0.042298708111047745 0.9674626588821411 0.0002580590662546456
    1.2.826.0.1.3680043.8.498.12211246338108398677415040722704146735 0.021978694945573807 0.262208491563797 0.3393600285053253 0.04500148445367813 0.10680683702230453 0.016086475923657417 0.7228787541389465 0.07845918089151382 0.20344440639019012 0.08814433962106705 0.0013106206897646189
    1.2.826.0.1.3680043.8.498.84260868185497701676678707261464274702 0.0004097867349628359 0.0004885784001089633 0.00041891270666383207 0.0009972680127248168 0.0006984589854255319 0.0006449648062698543 0.00044284568866714835 0.027103787288069725 0.22922560572624207 0.7757911086082458 0.0003943881602026522
    1.2.826.0.1.3680043.8.498.34896549989727960229805981823022259954 0.0011917001102119684 0.005089509300887585 0.004298341926187277 0.001378214219585061 0.01584581658244133 0.00045454161590896547 0.979735255241394 0.027489278465509415 0.08177652209997177 0.903239905834198 0.0008472900954075158
    1.2.826.0.1.3680043.8.498.68125247267612491216833059435357127964 0.0001768440124578774 0.00012315486674197018 0.00013022070925217122 0.00029138970421627164 0.00031668588053435087 4.387124499771744e-05 0.00016103099915198982 0.012581114657223225 0.06472428888082504 0.9516158103942871 0.00010565464617684484
    1.2.826.0.1.3680043.8.498.50651568016322137013350859572431682628 0.00030778307700529695 0.00024119757290463895 0.0003458111605141312 0.0008381867664866149 0.0003042425960302353 0.0006496041314676404 9.01814637472853e-05 0.36370036005973816 0.2526356875896454 0.37930580973625183 0.00037474435521289706
    1.2.826.0.1.3680043.8.498.66384404331216674120961705934630210547 0.00016758103447500616 0.00019629481539595872 0.0002943396975751966 0.0002686984371393919 0.0003633280284702778 0.00010418135207146406 0.00026415515458211303 0.0042181662283837795 0.07264667004346848 0.9399102926254272 8.854053885443136e-05
    1.2.826.0.1.3680043.8.498.12303939233359550796945875292939483502 0.0005347831756807864 0.0005422119866125286 0.0006511730025522411 0.0017697075381875038 0.0010230827610939741 0.0005544573068618774 0.0005886589060537517 0.024114763364195824 0.03309055045247078 0.9564229249954224 0.00029663689201697707
    1.2.826.0.1.3680043.8.498.59284523438364111571797999319886668290 0.000429961655754596 0.00042788093560375273 0.0005188285140320659 0.0006227349513210356 0.0009353179484605789 9.253648750018328e-05 0.0008526629535481334 0.10561706870794296 0.4127112030982971 0.5462310910224915 0.0003713166806846857
    1.2.826.0.1.3680043.8.498.97538139418698216708691589013732614508 0.00031319732079282403 0.00017236362327821553 0.00034283785498701036 0.0005980369751341641 0.0008581234142184258 0.00013495942403096706 0.00025412585819140077 0.016292009502649307 0.07549776136875153 0.9038988351821899 0.00021626081434078515
    1.2.826.0.1.3680043.8.498.12323759608904245873921334108181135445 0.000666675390675664 0.0006882064626552165 0.0008270880207419395 0.0011365192476660013 0.0009688801364973187 0.0004357094003353268 0.0012660843785852194 0.016382552683353424 0.058754272758960724 0.9410830736160278 0.00024149063392542303
    1.2.826.0.1.3680043.8.498.10020268825604182610368224629707426511 0.0005165766924619675 0.0005202811444178224 0.0004245273885317147 0.0009395784582011402 0.0009403152507729828 0.00027797085931524634 0.00039086322067305446 0.4754951596260071 0.5151132941246033 0.10476009547710419 0.00042944596498273313
    1.2.826.0.1.3680043.8.498.42245067431294364955247555297596973477 0.0002630696981213987 0.00024988813675008714 0.0002650662499945611 0.0005504960427060723 0.0004544734547380358 0.00037916007568128407 0.00040462924516759813 0.017363717779517174 0.10737495124340057 0.9398765563964844 0.0002478274400345981
    1.2.826.0.1.3680043.8.498.12630284502356146125202285166951988346 0.0002746085519902408 0.00024248901172541082 0.00028534664306789637 0.0005794171593151987 0.0005818888312205672 0.0002574677055235952 0.0001483523810748011 0.04615674912929535 0.5387169122695923 0.4312596321105957 0.0002610618539620191
    1.2.826.0.1.3680043.8.498.49345838547819402999268600996776889364 0.0007650433690287173 0.0006849886267445982 0.000659339246340096 0.002165510319173336 0.003547081258147955 0.0017298978054895997 0.03786373883485794 0.8100703358650208 0.06735534965991974 0.2533649802207947 0.0009447373449802399
    1.2.826.0.1.3680043.8.498.57703972091752690824180185024678096840 0.0002349969290662557 0.0001550627639517188 0.00014156148245092481 0.00032366852974519134 0.0003142269852105528 4.6873788960510865e-05 0.00026239125872962177 0.029880091547966003 0.11993589252233505 0.7911727428436279 0.00018699436623137444
    1.2.826.0.1.3680043.8.498.47447918858000019049097517017606348990 0.0003242160310037434 0.0005276050651445985 0.0008188876090571284 0.0004464203957468271 0.0011446470161899924 0.00014928076416254044 0.0022377478890120983 0.009402396157383919 0.04165372624993324 0.963290810585022 0.00019867783703375608
    1.2.826.0.1.3680043.8.498.53008801655153064560843798181186238242 0.00020007617422379553 0.0001964707626029849 0.0002401449892204255 0.0003651161096058786 0.0002811870363075286 0.00026400317437946796 0.0001395188010064885 0.06397460401058197 0.24109391868114471 0.691346287727356 0.00023318850435316563
    1.2.826.0.1.3680043.8.498.16614126488685087896328647986880602096 0.0001498727942816913 9.215263708028942e-05 0.00014986025053076446 0.00022132971207611263 0.0003008514177054167 4.37164562754333e-05 0.00015710765728726983 0.00638508889824152 0.08355069905519485 0.9198311567306519 0.00010295237007085234
    1.2.826.0.1.3680043.8.498.46968162026859198640723249660056223891 0.00039342427044175565 0.000265322916675359 0.0003414401726331562 0.0007500650244764984 0.0009252132731489837 5.096103996038437e-05 0.00042239404865540564 0.017745524644851685 0.05671071261167526 0.928749680519104 0.00021669696434400976
    1.2.826.0.1.3680043.8.498.10032417047748302741098424571555989107 0.00017193405074067414 0.00017418932111468166 0.00036164995981380343 0.00039181840838864446 0.00032720615854486823 0.00018826198356691748 8.69816358317621e-05 0.01604260690510273 0.18271416425704956 0.795251727104187 0.0001466256653657183
    1.2.826.0.1.3680043.8.498.89544383790931939709248474940064431456 0.0002503828436601907 0.00018888735212385654 0.000341070321155712 0.001270075561478734 0.0005277760210447013 0.001747873262502253 0.00010396706784376875 0.031750939786434174 0.04338764399290085 0.9418325424194336 0.00021920267317909747
    1.2.826.0.1.3680043.8.498.11406032485441901659826880847873616279 0.00012435636017471552 0.0001127211726270616 0.00016793012036941946 0.0002779671340249479 0.00041566058644093573 6.619941996177658e-05 0.00024001944984775037 0.006780778057873249 0.13538983464241028 0.892368495464325 0.00011619630095083266
    1.2.826.0.1.3680043.8.498.16695080252809535987772584835672539448 0.0001772996038198471 0.004753309767693281 0.8494378328323364 0.0007010122644715011 0.005746704991906881 0.0001988795556826517 0.43037423491477966 0.021112561225891113 0.05763739347457886 0.9485241770744324 0.0001790813694242388
    1.2.826.0.1.3680043.8.498.24913977976566749500236235766039120150 0.004943265579640865 0.17294445633888245 0.534326434135437 0.004334406927227974 0.01094580814242363 0.16064222157001495 0.8073569536209106 0.03586622327566147 0.5903528928756714 0.8015885353088379 0.0060437461361289024
    1.2.826.0.1.3680043.8.498.16479975480105721802562981480238521642 0.0003800679405685514 0.00029622274450957775 0.0004002856439910829 0.0010038692271336913 0.0009176349267363548 0.0004902758519165218 0.00023091300681699067 0.039983443915843964 0.07640890777111053 0.8992986679077148 0.0003017871640622616
    1.2.826.0.1.3680043.8.498.71097996423542513142629720289112684750 0.0001190072507597506 8.375868492294103e-05 0.00010798126459121704 0.00024730205768719316 0.0001616533991182223 0.00014867764548398554 3.82308462576475e-05 0.02026599645614624 0.10978849977254868 0.8749113082885742 0.00012699740182142705
    1.2.826.0.1.3680043.8.498.11687772722686718628092080638479235136 0.00011948392784688622 0.00014145644672680646 0.00018762136460281909 0.0002858904772438109 0.0001546747807879001 0.0005822220118716359 6.612350989598781e-05 0.008914871141314507 0.06827064603567123 0.9606850743293762 9.922323806677014e-05
    1.2.826.0.1.3680043.8.498.98304691136653565107930187241678726014 0.0004129082371946424 0.0005022069672122598 0.0007566871354356408 0.0008723180508241057 0.001138673396781087 0.00026865018298849463 0.002049898263067007 0.018828853964805603 0.3154539167881012 0.8307873606681824 0.00045876778312958777
    1.2.826.0.1.3680043.8.498.11798743071232778503164124370785908476 0.0005694724968634546 0.00044968322617933154 0.0003886529302690178 0.0007852899143472314 0.0009743522969074547 0.00020373011648189276 0.000802733120508492 0.06033792346715927 0.18586412072181702 0.7719920873641968 0.00048013910418376327
    1.2.826.0.1.3680043.8.498.63532126799749867780955381923016234011 0.021253885701298714 0.24663963913917542 0.7111695408821106 0.011440359055995941 0.06643649190664291 0.017118319869041443 0.8647368550300598 0.054153990000486374 0.2525857090950012 0.9089944958686829 0.003122655674815178
    1.2.826.0.1.3680043.8.498.40538928445103835332076980716058480409 8.286456431960687e-05 5.357550617191009e-05 0.00010489255510037765 0.00018535068375058472 0.00013907905668020248 9.349903120892122e-05 4.77018766105175e-05 0.004196405876427889 0.9367767572402954 5.5403583246516064e-05
    1.2.826.0.1.3680043.8.498.37202944355275025336191022308845555567 0.0003805447486229241 0.0004152074980083853 0.0011700798058882356 0.0008828138234093785 0.0007710461504757404 0.0006095849676057696 0.0005218244041316211 0.01670582965016365 0.044606637209653854 0.9320906400680542 0.0002312808355782181
    1.2.826.0.1.3680043.8.498.11948421882275388495095894848368412153 0.0005337407346814871 0.00042663997737690806 0.0003312433836981654 0.0008542227442376316 0.0010575761552900076 0.0001267617626581341 0.0007087368285283446 0.04492504894733429 0.5781918168067932 0.4869995713233948 0.0006041594897396863
    1.2.826.0.1.3680043.8.498.69196843054780097664458246926724471515 0.0014052228070795536 0.0039038523100316525 0.0032517947256565094 0.0025826343335211277 0.0037746564485132694 0.00019219369278289378 0.00967799499630928 0.41258686780929565 0.49580448865890503 0.1688682734966278 0.0010723407613113523
    1.2.826.0.1.3680043.8.498.18273591606501054392956518366977425784 0.00016618990048300475 0.0001631706691114232 0.0005297457682900131 0.0003327761951368302 0.0004906427348032594 0.00010873827704926953 0.00026993174105882645 0.013436997309327126 0.048668574541807175 0.9565486907958984 7.72180428612046e-05
    1.2.826.0.1.3680043.8.498.41282605630479959091245423232702797128 0.00020070055325049907 0.00022199723753146827 0.00042814965127035975 0.0005148350028321147 0.0006122345803305507 0.0003135165316052735 0.0005041273543611169 0.0062240418046712875 0.057308100163936615 0.968812108039856 0.0001432063290849328
    1.2.826.0.1.3680043.8.498.65276983706964083560956127080962008652 0.00018122376059181988 0.00013547544949688017 0.00013640421093441546 0.00023193331435322762 0.0003586847160477191 5.4253254347713664e-05 0.00017249971278943121 0.07287469506263733 0.23753157258033752 0.6972396373748779 0.00017617520643398166
    1.2.826.0.1.3680043.8.498.31913606222240803054335080955874683634 0.0007039371412247419 0.0009461430017836392 0.0009435344254598022 0.0017074381466954947 0.0021563363261520863 0.000696691102348268 0.005915070418268442 0.01492803543806076 0.07181926816701889 0.9622737765312195 0.0005124876042827964
    1.2.826.0.1.3680043.8.498.81898368358077446746667442062304827615 0.0003139452892355621 0.0003380643902346492 0.0004745135083794594 0.0008123324369080365 0.0005741376080550253 0.0006080042221583426 0.00016327985213138163 0.03316294774413109 0.488736629486084 0.6712915897369385 0.0004002430068794638
    1.2.826.0.1.3680043.8.498.12957370085517508946396714433770947463 0.0017949886387214065 0.0029875566251575947 0.0015929776709526777 0.0025579880457371473 0.004238639492541552 0.0005061457632109523 0.009868310764431953 0.07142819464206696 0.2960800528526306 0.8269187211990356 0.0013851783005520701
    1.2.826.0.1.3680043.8.498.46702302610643672268834728030413834354 0.0004540742957033217 0.00040956740849651396 0.0005208709044381976 0.0009773497004061937 0.0011065048165619373 0.0006695286720059812 0.00031828979263082147 0.0473327711224556 0.4192783236503601 0.5965668559074402 0.0004784951452165842
    1.2.826.0.1.3680043.8.498.10704917907874820749871109146795197448 0.0002868088486138731 0.0003998693428002298 0.0007616644143126905 0.0013785430928692222 0.000719683594070375 0.00418365653604269 0.00040111044654622674 0.014260150492191315 0.04318692535161972 0.9806743860244751 0.0006048097857274115
    1.2.826.0.1.3680043.8.498.12412688192157225578013000753224429078 0.0004956899210810661 0.0014827336417511106 0.0010550537845119834 0.0006286990828812122 0.000968834210652858 0.00012087081267964095 0.013635486364364624 0.04959704354405403 0.22599367797374725 0.8381457328796387 0.01874982751905918
    1.2.826.0.1.3680043.8.498.11972975152318712423131551899144038401 0.0004622839333023876 0.0006511711399070919 0.0008088876493275166 0.0005367593839764595 0.0009761538240127265 0.0001087557029677555 0.003260399680584669 0.04052404314279556 0.08035968244075775 0.9003117680549622 0.00020059043890796602
    1.2.826.0.1.3680043.8.498.20477840658650277661729665589194535992 0.00024811047478578985 0.00021193917200434953 0.0003166546521242708 0.0003675434272736311 0.0004992796457372606 4.07344450650271e-05 0.00045185093767941 0.010306188836693764 0.06917621940374374 0.9378840327262878 0.00012350281758699566
    1.2.826.0.1.3680043.8.498.55262310581367213766698892555692315968 0.00032746026408858597 0.00047892742441035807 0.0005376386689022183 0.0007300025899894536 0.0005652840482071042 0.00024384660355281085 0.0007443434442393482 0.13706277310848236 0.32658883929252625 0.4896281361579895 0.0003691395395435393
    1.2.826.0.1.3680043.8.498.78754470800850986773928053212778587753 0.00043172427103854716 0.0002998207346536219 0.000417408999055624 0.0012172958813607693 0.0022943071089684963 0.00038801427581347525 0.002196888905018568 0.0074734315276145935 0.04078594595193863 0.9492524266242981 0.00016431650146842003
    1.2.826.0.1.3680043.8.498.60693898807907268599618178090164923611 0.024235904216766357 0.4471590518951416 0.4916206896305084 0.013134710490703583 0.039795566350221634 0.035283494740724564 0.7451769113540649 0.06561866402626038 0.5127813220024109 0.7010448575019836 0.002477859379723668
    1.2.826.0.1.3680043.8.498.81464483108873296584005201807676213920 0.0016165946144610643 0.001683205715380609 0.0017842473462224007 0.015939200296998024 0.01609056070446968 0.5718449354171753 0.04028506949543953 0.030329447239637375 0.1618891954421997 0.9330160021781921 0.002173337619751692
    1.2.826.0.1.3680043.8.498.33579133018211530710953337175568300314 0.002339152852073312 0.0035066665150225163 0.0028824256733059883 0.0035941177047789097 0.005248022265732288 0.000279819912975654 0.022064311429858208 0.5300361514091492 0.40043410658836365 0.3069741129875183 0.0031453005503863096
    1.2.826.0.1.3680043.8.498.61472811086105902907935935811857560107 0.00031431540264748037 0.0003327233134768903 0.00031451278482563794 0.0004666975582949817 0.0007624000427313149 8.589035860495642e-05 0.0004802863113582134 0.007904582656919956 0.08645547926425934 0.9171093106269836 0.0001505745603935793
    1.2.826.0.1.3680043.8.498.19434375795525494655682554305086521196 0.00026192545192316175 0.0003877696581184864 0.00043961615301668644 0.0002852359029930085 0.0006100180326029658 4.8276200686814263e-05 0.0010161020327359438 0.06451182067394257 0.24489936232566833 0.6651231050491333 0.00020686580683104694
    1.2.826.0.1.3680043.8.498.21182456828145534541601948500167350191 0.0001065556425601244 0.00013496774772647768 0.00022832844115328044 0.00034126275568269193 8.942534623201936e-05 0.0007092686137184501 2.3253553081303835e-05 0.012688033282756805 0.028371060267090797 0.9743542671203613 0.00011262472253292799

    Calculate your order
    Pages (275 words)
    Standard price: $0.00
    Client Reviews
    4.9
    Sitejabber
    4.6
    Trustpilot
    4.8
    Our Guarantees
    100% Confidentiality
    Information about customers is confidential and never disclosed to third parties.
    Original Writing
    We complete all papers from scratch. You can get a plagiarism report.
    Timely Delivery
    No missed deadlines – 97% of assignments are completed in time.
    Money Back
    If you're confident that a writer didn't follow your order details, ask for a refund.

    Calculate the price of your order

    You will get a personal manager and a discount.
    We'll send you the first draft for approval by at
    Total price:
    $0.00
    Power up Your Academic Success with the
    Team of Professionals. We’ve Got Your Back.
    Power up Your Study Success with Experts We’ve Got Your Back.

    Order your essay today and save 30% with the discount code ESSAYHELP