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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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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.

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 45 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.

venueaboutno affunlabeled
Éthique de l’inconfort
Carole Beaulieu
2009· article· fr· Éthique Publique· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Déontologie et éthique au Québec
Marc‐Simon Drouin
2011· article· fr· Gestalt· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
La fusion CMTC - CCT
Gérard Dion
2014· article· fr· Relations industrielles· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Utiliser efficacement les lignes directrices
Laurence Klotz
2013· article· en· Canadian Urological Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
L’éducation à la perte et au deuil
Pierre-Alexandre Poirier
2021· article· fr· Frontières· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Caractères du lock-out
Pierre Verge
2005· article· fr· Relations industrielles· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Une vieille de onze ans
Dumitru Crudu
2016· article· fr· Recherches· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Mot de la rédactrice en chef
Sylvie St‐Onge
2011· article· fr· Gestion· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Devenir un spécialiste
Timothy Rowe
2015· article· fr· Journal of Obstetrics and Gynaecology Canada· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About