<p>For 100 applications within five overall competition success scenarios [5% (a), 15% (b), 25% (c), 35% (d), and 50% (e)], different proportions of applications had very high (A), medium (B) or very low (C) probability of success (categories defined in text) over 10,000 iterations of simulated competition results. Horizontal green lines indicated a probability of success of 5% and 95%. Vertical blue lines indicated where locally weighted polynomial regression (LOESS smoothing) curves intersected the 5% or 95% probability of success, or reached the highest ranked application (the limit of the graph).</p
<p>The graph shows the probability among represented applications (white bars) and among pro-se appl...
<p>Top: Results of several metrics with all paradigms averaged, for the different number of trials u...
Stacked bar plots depict the probabilities of model classification by S/HIC. Each vertical bar repre...
<p>Cumulative sum of 10,000 bootstrapped simulations of competition outcomes, for 100 applications w...
<p>Horizontal sequences represent simulated outcomes for each of 100 Fellowships applications (‘grey...
<p>In both plots, the black curve shows performance of the computational system using distributional...
We provide 4 R scripts to generate the 4 figures in the paper. Figure 1. Representation of the mult...
<p>(A) Distribution of success rate according to statistical significance of the results for the pri...
Panel (a) represents estimates for Top 5 probabilities as a function of Alma mater ranking; Panel (b...
<p>Results are plotted separately for (a) author PBH and (b) and (c) two naïve participants. In each...
<p>(A) Percent successful, or positive, statistically significant results, at median activity levels...
<p>(A) Average performance of analysis variants with performance is measured in proportion to the gl...
<p>Awarded applications are classified by the range of percentile scores: 0.1–10 (N = 3,169), 10.1–2...
<p>(<b>A</b>) The number of genes that occur two or more times above each Z-score threshold, for thr...
<p>(A) Models are categorized by the type of features they use. Boxes indicate the 25<sup>th</sup> (...
<p>The graph shows the probability among represented applications (white bars) and among pro-se appl...
<p>Top: Results of several metrics with all paradigms averaged, for the different number of trials u...
Stacked bar plots depict the probabilities of model classification by S/HIC. Each vertical bar repre...
<p>Cumulative sum of 10,000 bootstrapped simulations of competition outcomes, for 100 applications w...
<p>Horizontal sequences represent simulated outcomes for each of 100 Fellowships applications (‘grey...
<p>In both plots, the black curve shows performance of the computational system using distributional...
We provide 4 R scripts to generate the 4 figures in the paper. Figure 1. Representation of the mult...
<p>(A) Distribution of success rate according to statistical significance of the results for the pri...
Panel (a) represents estimates for Top 5 probabilities as a function of Alma mater ranking; Panel (b...
<p>Results are plotted separately for (a) author PBH and (b) and (c) two naïve participants. In each...
<p>(A) Percent successful, or positive, statistically significant results, at median activity levels...
<p>(A) Average performance of analysis variants with performance is measured in proportion to the gl...
<p>Awarded applications are classified by the range of percentile scores: 0.1–10 (N = 3,169), 10.1–2...
<p>(<b>A</b>) The number of genes that occur two or more times above each Z-score threshold, for thr...
<p>(A) Models are categorized by the type of features they use. Boxes indicate the 25<sup>th</sup> (...
<p>The graph shows the probability among represented applications (white bars) and among pro-se appl...
<p>Top: Results of several metrics with all paradigms averaged, for the different number of trials u...
Stacked bar plots depict the probabilities of model classification by S/HIC. Each vertical bar repre...