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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 24 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.

affaboutunlabeled
Redesigning Care Delivery in British Columbia
Lynn Stevenson, Karen Parent, Mary Ellen Purkis
2012· article· en· Healthcare Management Forum· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
Waiting for a family doctor.
Tom Bailey
2007· article· en· PubMed· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
9
citations
affvenueunlabeled
Don’t select medical students — convince them
Tobias Deutsch, Petra Hönigschmid, U. Wippermann, Thomas Frese, Hagen Sandholzer
2011· letter· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
Are you looking forward to your surgery?
Evert Gummesson
2001· article· en· Managing Service Quality· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations
affvenueaboutunlabeled
Regionalization in Canada: A Promising Heritage to Build On
Jean‐Louis Denis, Damien Contandriopoulos, Marie‐Dominique Beaulieu
2004· letter· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations
affvenueaboutunlabeled
Is It Really the Tail that Wags the Dog?
Paul A. Lamarche
2008· letter· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations
afffundvenueaboutunlabeled
Burden of administrative responsibilities in primary care
Judith Belle Brown, Cathy Thorpe, Sharon Bal, Saadia Hameed Jan, Maria Mathews, Kamila Premji +2 more
2025· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations
affvenueaboutunlabeled
History of Geriatrics in Canada
David B. Hogan
2007· article· en· Canadian Journal of Health History· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations
affvenueaboutunlabeled
A Collaborative Approach to a Chronic Care Problem
Jennifer Verma, Jean‐Louis Denis, Stephen Samis, François Champagne, Maureen O’Neil
2016· article· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations
venueaboutno affunlabeled
Transforming training for today
Lawrence C. Loh
2023· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations
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