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      <image:title>News - Reveal Contributes Key User Experience Improvements to Preeminent Data Portal&amp;nbsp; - Make it stand out</image:title>
      <image:caption>The ‘hero section’ on data.census.gov‍ before our involvement.</image:caption>
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      <image:title>News - Reveal Contributes Key User Experience Improvements to Preeminent Data Portal&amp;nbsp; - Make it stand out</image:title>
      <image:caption>The ‘hero section’ on data.census.gov‍ after our involvement.</image:caption>
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      <image:title>News - Reveal Perspective: Creating Geospatial Data - Make it stand out</image:title>
      <image:caption>Figure 1. The Geographical Context of the Mason-Dixon Line. Source: Produced by author. Cartographic boundary files from U.S. Census Bureau.</image:caption>
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      <image:title>News - Reveal Perspective: Creating Geospatial Data - Make it stand out</image:title>
      <image:caption>Figure 2. Components of Mason and Dixon’s Line. Source: Produced by author. Cartographic boundary files from US Census Bureau.</image:caption>
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      <image:title>News - Reveal Perspective: Creating Geospatial Data - Make it stand out</image:title>
      <image:caption>Figure 3. Crownstone/mile marker #50, southwest of New Freedom, Pennsylvania: Calvert family crest visible in photo on left; Penn family crest visible in photo on right. Source: Mason and Dixon Line Preservation Partnership.</image:caption>
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      <image:title>News - Reveal Perspective: Creating Geospatial Data - Make it stand out</image:title>
      <image:caption>Figure 4. Mile marker #84, Carroll Valley, Pennsylvania, west of Emmitsburg, Maryland. Photo by author, with thanks to the owners of the property where the marker is located.</image:caption>
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    <lastmod>2025-11-19</lastmod>
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      <image:title>News - Reveal to Present Optical Character Recognition Evaluation at JSM 2025 - Make it stand out</image:title>
      <image:caption>ROUGE-L Scores by Document Type Source: Madeline Kelsch, Madison Hall, Conor York, Tianyu Hu, Cameron Milne, and Taylor Wilson. Optical Character Recognition Evaluation for Historical Archival Records. Presented at the Joint Statistical Meetings, 2025.</image:caption>
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      <image:title>News - Reveal to Present Optical Character Recognition Evaluation at JSM 2025 - Make it stand out</image:title>
      <image:caption>Boxplot of CER by Document Type. Madeline Kelsch, Madison Hall, Conor York, Tianyu Hu, Cameron Milne, and Taylor Wilson. Optical Character Recognition Evaluation for Historical Archival Records. Presented at the Joint Statistical Meetings, 2025.</image:caption>
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      <image:title>News - Reveal to Present Optical Character Recognition Evaluation at JSM 2025 - Make it stand out</image:title>
      <image:caption>Snippets from the National Archives documents and transcriptions.</image:caption>
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      <image:title>News - Reveal to Present Optical Character Recognition Evaluation at JSM 2025 - Make it stand out</image:title>
      <image:caption>Original document: Great Lakes Bulletin</image:caption>
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      <image:caption>Code used to parse the event logs and calculate Kurtosis</image:caption>
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      <image:caption>Code used to parse the event logs and calculate Kurtosis</image:caption>
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      <image:caption>Uniform distribution for task runtime</image:caption>
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      <image:caption>How semantic search works</image:caption>
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      <image:caption>Autocoding process with large language model.</image:caption>
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      <image:caption>SAS to Python Step 1: Processing and Rule-based Conversions</image:caption>
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      <image:caption>Reveal SAS to Python Step 2: Chunking</image:caption>
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      <image:caption>Reveal SAS to Python Step 4: Translation-Documentation Loop</image:caption>
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      <image:caption>Reveal SAS to Python Step 5: Post-Processing</image:caption>
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