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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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Healthcare Systems and Practices
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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.

3,912 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.
3,912 works in the cohort · of 4,299,418page 44 of 79

Labels cover 15 of 3,912 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 3,912 of 3,912 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
Éditorial
Le comité éditorial de la revue Facteurs humains
2025· article· Facteurs humains :· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
La recherche, un droit mondial
Michèle Leduc, François Piuzzi, Michel Spiró, Annick Suzor-Weiner
2020· article· fr· Reflets de la physique· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Entretien avec Olivia Loiseau
Michaël Abécassis
2017· article· fr· Voix Plurielles· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
2-1-1 Toronto: Lessons Learnt About Newcomers’ Access to Health Information
Andrea Cortinois, Richard H. Glazier, Nadia Caidi, Gavin J. Andrews, Mary Herbert-Copley, Alejandro R. Jadad
2013· article· fr· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Six mois plus tard…
Caroline Boily
2020· article· fr· Gestion· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Retirement and Beyond
Louis R. Caplan
2020· book-chapter· en· Oxford University Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Le Schtroumpf civil
Guillaume Simiand
2023· article· fr· Communitas· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
À vos routines !
Emmanuelle Gril
2021· article· fr· Gestion· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
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