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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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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
fundfunder
venuejournal
aboutaboutness

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
Evidence
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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 53 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.

affunlabeled
Synthèse de l'atelier " Santé"
Marc-Éric Gruénais, Abdou Salam Fall
2002· article· fr· Bulletin de l’APAD· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Mot de la rédaction
Patrick Cohendet, Bachir Mazouz
2015· article· fr· Management international· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Mot de la rédaction
Bachir Mazouz, Patrick Cohendet
2009· article· fr· Management international· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundaboutunlabeled
Fibromyalgie : recommandations canadiennes
Mary‐Ann Fitzcharles, Peter A. Ste‐Marie
2013· book-chapter· fr· Presses de l’Université de Montréal eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
: Rencontre des droits autour de la résolution d’un cas
Alicia Mâzouz, Françoise Auvray, Adina Buciuman, Marco Giraudo, Rüdiger Morbach, Anabel Riaño Saad +2 more
2021· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Carence en cuivre
Reid C. Gallant, Lita Cameron, Siraj Mithoowani
2025· article· fr· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Avis en réponse à la saisine HCB - dossier 2014-123. Paris, le 27 juin 2018
Comité Scientifique Du Haut Conseil Des Biotechnologies, Frédérique Angevin, Claude Bagnis, Avner Bar‐Hen, Marie‐Anne Barny, Pascal Boireau +34 more
2018· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Quand il faut choisir
Jean‐François Bussières, Denis Lebel
2002· article· fr· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Actualités médicales et soignantes
Emmanuelle Mikanga, Stéphanie Cosnard
2020· article· fr· Jusqu’à la mort accompagner la vie· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
RESUME
2015· article· en· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About