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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
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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.

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 36 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
A prescription for poverty
Jane Parry
2016· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
The difficult patient: An attachment perspective
Annîe Panzer, Margaretha Viljoen, Robert Maunder, Jonathan Hunter
2003· article· en· South African Family Practice· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
venueaboutno affunlabeled
Correction
2024· letter· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutunlabeled
Timely access to primary care in New Brunswick
Véronique Manuel, Iva Bien-Aimé, Éric Boutot, Jérémie B. Dupuis, Claire Johnson
2023· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
venueaboutno affunlabeled
Impasse over federal health transfers
Barbara Sibbald
2017· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
fundno affunlabeled
Clinical effectiveness
Anna Higgitt, Peter Fonagy
2002· article· en· The British Journal of Psychiatry· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
afffundaboutunlabeled
Planning to meet the care need challenge in Alberta, Canada
Stephen Duckett, J. Harvey Bloom, Andrea Robertson
2012· article· en· The International Journal of Health Planning and Management· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
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