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        <datestamp>2026-09-18T17:57:51Z</datestamp>
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          <dc:title>&lt;p&gt;External rolling-origin validation on five NYC 311 categories. Cost and fill are means across 26 test origins. Improvement is first calculated within each origin relative to Poisson and then averaged, giving each origin equal weight; Cost/day is instead the mean of absolute origin costs. Origins with different cost scales can therefore yield a positive mean paired improvement even when the displayed overall mean cost is higher.&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>
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          <dc:subject>deployment stress test</dc:subject>
          <dc:subject>ratio perturbations identify</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>
          <dc:subject>counts substantially</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>
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          <dc:subject>confidence interval</dc:subject>
          <dc:subject>composition dependence</dc:subject>
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          <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;External rolling-origin validation on five NYC 311 categories. Cost and fill are means across 26 test origins. Improvement is first calculated within each origin relative to Poisson and then averaged, giving each origin equal weight; Cost/day is instead the mean of absolute origin costs. Origins with different cost scales can therefore yield a positive mean paired improvement even when the displayed overall mean cost is higher.&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.t003</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/_p_External_rolling-origin_validation_on_five_NYC_311_categories_Cost_and_fill_are_means_across_26_test_origins_Improvement_is_first_calculated_within_each_origin_relative_to_Poisson_and_then_averaged_giving_each_origin_equal_weight_Cost_da/33940158</dc:relation>
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