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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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Primary Care and Health Outcomes
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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.

4,685 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.
4,685 works in the cohort · of 4,299,418page 60 of 94

Labels cover 32 of 4,685 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 4,685 of 4,685 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.

aboutno affunlabeled
[The faces of family medicine].
Shane Neilson
2013· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian Points of View
Scott Millard
2011· article· en· Reference Reviews· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Subspecialty Clinics Require Evidence of Efficacy
Ronald M. Laxer, Philip M. Sherman, Robert D. Baker, Hans Büller, Philip Rosenthal
2000· article· en· Journal of Pediatric Gastroenterology and Nutrition· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
What's Next for CPJ?
Renée Dykeman
2008· article· fr· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Vulnerability; a breath of fresh air
Gabrielle Hornstein
2020· article· en· International Journal of Whole Person Care· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
La pratique avancée infirmière au Canada
Denise Bryant‐Lukosius, Erin Ziegler, Kelley Kilpatrick, Ruth Martin‐Misener
2024· book-chapter· fr· Advanced practice in nursing· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
OBSOLETE: Health System of Canada
Gregory P. Marchildon
2014· book-chapter· en· Elsevier eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Pulse: Health care's declining years
Shelley Martin
2002· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Health Services Data Sources in Canada
S. Taillon
2005· other· en· Encyclopedia of Biostatistics· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
I Am a Canadian Doctor
Benjamin Barankin
2000· article· en· Canadian Journal of Emergency Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Oldest at graduation
J. B. Hunter
2000· article· en· Europe PMC (PubMed Central)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
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