Merge pull request #80 from jperkel/patch-1

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index.html

@@ -67,13 +67,13 @@
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@@ -83,12 +83,12 @@
 <header id="title-block-header">
 <h1 class="title">Analysis of ISCB honorees and keynotes reveals disparities</h1>
 </header>
-<p>This version of the manuscript <a href="https://github.com/greenelab/iscb-diversity-manuscript/compare/v1.0...424738f7b2d1e8a71f7da3d68f092fbea682fd25">contains changes</a> subsequent to the <a href="https://github.com/greenelab/iscb-diversity-manuscript/releases/tag/v1.0">version 1.0 release</a>.</p>
+<p>This version of the manuscript <a href="https://github.com/greenelab/iscb-diversity-manuscript/compare/v1.0...b13489521919078f739084b218d7caad7fcebeeb">contains changes</a> subsequent to the <a href="https://github.com/greenelab/iscb-diversity-manuscript/releases/tag/v1.0">version 1.0 release</a>.</p>
 <p><small><em>
 This manuscript
-(<a href="https://greenelab.github.io/iscb-diversity-manuscript/v/424738f7b2d1e8a71f7da3d68f092fbea682fd25/">permalink</a>)
+(<a href="https://greenelab.github.io/iscb-diversity-manuscript/v/b13489521919078f739084b218d7caad7fcebeeb/">permalink</a>)
 was automatically generated
-from <a href="https://github.com/greenelab/iscb-diversity-manuscript/tree/424738f7b2d1e8a71f7da3d68f092fbea682fd25">greenelab/iscb-diversity-manuscript@424738f</a>
+from <a href="https://github.com/greenelab/iscb-diversity-manuscript/tree/b13489521919078f739084b218d7caad7fcebeeb">greenelab/iscb-diversity-manuscript@b134895</a>
 on March 14, 2020.
 </em></small></p>
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@@ -300,7 +300,7 @@ <h3 id="estimation-of-name-origin-groups">Estimation of Name Origin Groups</h3>
 We initially grouped names by continent, but later decided to model our categorization after the hierarchical taxonomy used by <a href="http://www.name-prism.com/about">NamePrism</a> <span class="citation" data-cites="OqLU02w9">[<a href="#ref-OqLU02w9" role="doc-biblioref">19</a>]</span>.
 The NamePrism taxonomy was derived from name-country pairs by producing an embedding of names by Twitter contact patterns and then grouping countries using the similarity of names from those countries.
 In an earlier version of this manuscript we also used category names derived from NamePrism, but the titles of the groupings were problematic so we have recoded the groupings to letters.
-The countries associated with each grouping are shown in Fig <a href="#fig:wiki2019_lstm">4</a>.
+The countries associated with each grouping are shown in Fig <a href="#fig:nameprism_countries">1</a>.
 Table <a href="#tbl:example_names">1</a> shows the size of the training set for each of these groupings as well as a few examples of PubMed author names that had at least 90% prediction probability in that group.
 We refer to this dataset as Wiki2019 (available online in <a href="https://github.com/greenelab/wiki-nationality-estimate/blob/master/data/annotated_names.tsv"><code>annotated_names.tsv</code></a>).</p>
 <div id="fig:nameprism_countries" class="fignos">