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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Journal of Veterinary Medical Education
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,932 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,932 works in the cohort · of 4,299,418page 17 of 39

Labels cover 10 of 1,932 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,932 of 1,932 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

venueno affno abstractunlabeled
Tending Animals in the Global Village
David Μ. Sherman
2005· article· en· Journal of Veterinary Medical Education· Environmental Science
machine prediction:candidate · noneconsensus · none
8
citations
venueno affno abstractunlabeled
Teaching Our Students as We Want to Be Taught
Carl A. Osborne
2003· article· en· Journal of Veterinary Medical Education· Social Sciences
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Zoo and Wildlife Medical Education: A European Perspective
Kai Frölich, Susanne E Grabitzky, Chris Walzer, Richard J. Delahay, Gerry M. Dorrestein, Jean‐Michel Hatt
2006· article· en· Journal of Veterinary Medical Education· Health Professions
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
On the Self-Renewal of Teachers
David J. Waters, Lane S. Waters
2011· article· en· Journal of Veterinary Medical Education· Health Professions
machine prediction:candidate · noneconsensus · none
8
citations
venueno affno abstractunlabeled
Vulnerabilities in Agriculture
Corrie C. Brown
2003· article· en· Journal of Veterinary Medical Education· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Veterinarians in Biomedical Research: Building National Capacity
Daryl D. Buss, Michael L. Atchison, Kara N. Corps, Lauren B. Falkowski, James G. Fox, Joan C. Hendricks +3 more
2009· article· en· Journal of Veterinary Medical Education· Health Professions
machine prediction:candidate · metaresearchconsensus · none
8
citations
venueno affunlabeled
Practical Tips for Setting Up and Running OSCEs
Emily Hall, Sarah Baillie, Julie Hunt, Alison Catterall, Lissann Wolfe, Annelies Decloedt +2 more
2022· article· en· Journal of Veterinary Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Zoological Medicine and Public Health
Bruno B. Chomel, Bennie I. Osburn
2006· article· en· Journal of Veterinary Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Teaching as a First, Second, or Third Language
Peter S. MacWilliams
2007· article· en· Journal of Veterinary Medical Education· Health Professions
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About