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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 19 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.

affvenueno abstractunlabeled
Une ère de changement pour la formation en réadaptation
Jacinthe Savard, Claire‐Jehanne Dubouloz, Dawn Burnett
2002· article· fr· Reflets Revue d’intervention sociale et communautaire· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Les concepts en sciences infirmières
Maud‐Christine Chouinard
2012· book-chapter· fr· Association de Recherche en Soins Infirmiers eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
On n’est pas prêt d’en finir
Maurice Berger
2008· article· fr· Santé mentale au Québec· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
Archivée: Détermination de l’âge gestationnel par échographie
Kimberly Butt, Kenneth Lim, Stephen Bly, Yvonne Cargill, Greg Davies, Nanette Denis +4 more
2014· article· fr· Journal of Obstetrics and Gynaecology Canada· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
La violence sur la scène des urgences
Y. Gansel, J. Grison-Curinier, F. Plet, F. Renault
2005· article· fr· Psychiatrie et violence· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Les vertus de la correction par les pairs
Ambroise Baillifard
2022· article· fr· Formation et profession· Health Professions
machine prediction:candidate · metaresearchconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/s2352-3999(16)66282-9
Isabelle Breton-Torres, S. Trichot, P. Jammet, P. Goudot
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affvenueunlabeled
Oui, les psychiatres pleurent
Judith Brouillette
2018· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Des souris et des machines à boules
Andrew E. MacNeily
2021· article· fr· Canadian Urological Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
L’éducation thérapeutique du patient
Gaële Bouric, Marc Beaumont
2011· article· fr· Kinésithérapie la Revue· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Pas assez fou pour mettre le feu
2006· article· fr· Santé mentale au Québec· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
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