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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.

affaffiliation
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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
Evidence
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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 38 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 affunlabeled
Book Reviews
2001· article· en· Journal of Veterinary Medical Education· Veterinary
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
AAVMC Notes
2020· article· en· Journal of Veterinary Medical Education
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Simulations for Surgical Training in Veterinary Medicine
Gustavo Castro-Colonia, Ricardo Antonio Barreto‐Mejia, Lynda Tamayo‐Arango, Natalia Franco-Montoya
2025· article· en· Journal of Veterinary Medical Education· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
AAVMC Notes
2019· article· en· Journal of Veterinary Medical Education
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
GlobeGround Malta signs up two new carriers.
Karl
2011· article· en· Journal of Veterinary Medical Education· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Quest to Identify Quality Teaching
Donal A. Walsh
2002· article· en· Journal of Veterinary Medical Education· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
“Change is the only constant.”
2021· article· en· Journal of Veterinary Medical Education· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Letters to the Editor
P. Eyre
2012· letter· en· Journal of Veterinary Medical Education· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Massey University Veterinary School
Norm Williamson
2005· article· en· Journal of Veterinary Medical Education· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Surgical Skills Training with Cryopreserved Rat Stomachs
Avelina Sotres-Vega, Jaime Villalba-Caloca, Shely Azrad-Daniel, Jazmín García-Montes, J. Luis Torre-Jaime, Isabel Guadarrama-Sánchez +2 more
2016· article· en· Journal of Veterinary Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About