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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.

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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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Health, Medicine and Society
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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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venuejournal
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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.

3,958 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.
3,958 works in the cohort · of 4,299,418page 37 of 80

Labels cover 10 of 3,958 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 3,958 of 3,958 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
10.1016/s1283-0860(95)23684-4
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/j.omag.2024.09.002
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Message du Rédacteur en Chef
J. French
2006· article· fr· Canadian Journal of Medical Radiation Technology· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Traité de prévention
Georges Borgès Da Silva
2009· article· fr· Pratiques et Organisation des Soins· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Mot de la rédactrice en chef
Sylvie St‐Onge
2010· article· fr· Gestion· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The freak is this?
2019· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Correspondance
James Chauvin
2005· article· en· Canadian Journal of Public Health· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affno abstractunlabeled
Accidents de lecture
2023· book-chapter· fr· Papyrus : Institutional Repository (Université de Montréal)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Sur le gril
Louis Hamelin
2014· book-chapter· fr· Fabrications· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
La normativité du poids à l’œuvre
Joel Lexchin, Annemarie Jutel
2025· article· fr· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Fernand Dumont
Jean‐Philippe Warren
2006· book· fr· Classiques des sciences sociales.· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About