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          <dc:title>&lt;p&gt;Observed runtime for the additional revision analyses. Times are wall-clock seconds under Python 3.8.5, NumPy 1.24.4, pandas 2.0.3 and statsmodels 0.14.1.&lt;/p&gt;</dc:title>
          <dc:creator>Saisai Hou (9584629)</dc:creator>
          <dc:creator>Yunzhi Zhu (3837982)</dc:creator>
          <dc:creator>Sen Zhang (498066)</dc:creator>
          <dc:creator>Ying Chen (9697)</dc:creator>
          <dc:subject>Evolutionary Biology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Mathematical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Science Policy</dc:subject>
          <dc:subject>type shares persist</dc:subject>
          <dc:subject>independence remains adequate</dc:subject>
          <dc:subject>fill rate increased</dc:subject>
          <dc:subject>4 %&amp;# 8211</dc:subject>
          <dc:subject>2 %&amp;# 8211</dc:subject>
          <dc:subject>190 observations ),</dc:subject>
          <dc:subject>visit counts provide</dc:subject>
          <dc:subject>dominate model choice</dc:subject>
          <dc:subject>joint sensitivity analysis</dc:subject>
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          <dc:subject>deployment stress test</dc:subject>
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          <dc:subject>0 %&amp;# 8211</dc:subject>
          <dc:subject>independent poisson models</dc:subject>
          <dc:subject>independent poisson</dc:subject>
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          <dc:subject>rand analysis</dc:subject>
          <dc:subject>nyc analysis</dc:subject>
          <dc:subject>sectional held</dc:subject>
          <dc:subject>scarf moment</dc:subject>
          <dc:subject>robust decisions</dc:subject>
          <dc:subject>reproducible check</dc:subject>
          <dc:subject>parameter error</dc:subject>
          <dc:subject>often converted</dc:subject>
          <dc:subject>matching environment</dc:subject>
          <dc:subject>latent heterogeneity</dc:subject>
          <dc:subject>inventory decisions</dc:subject>
          <dc:subject>five categories</dc:subject>
          <dc:subject>decision calibration</dc:subject>
          <dc:subject>decision calibrated</dc:subject>
          <dc:subject>count simulation</dc:subject>
          <dc:subject>confidence interval</dc:subject>
          <dc:subject>composition dependence</dc:subject>
          <dc:subject>based decisions</dc:subject>
          <dc:subject>asks whether</dc:subject>
          <dc:subject>although clustering</dc:subject>
          <dc:subject>8 %.</dc:subject>
          <dc:subject>096 days</dc:subject>
          <dc:description>&lt;p&gt;Observed runtime for the additional revision analyses. Times are wall-clock seconds under Python 3.8.5, NumPy 1.24.4, pandas 2.0.3 and statsmodels 0.14.1.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-18T17:57:38Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0358767.t005</dc:identifier>
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