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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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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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venuejournal
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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 28 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.

affvenueunlabeled
Toward evidence-based policy
Tara Kiran
2016· letter· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · metaresearchconsensus · none
7
citations
affno abstractunlabeled
What do people need?
Neil Betteridge, Connie Camilleri, Linda Stoyanoff, Deborah Kopansky-Giles, Josef de Guzman, Souzi Makri +1 more
2020· review· en· Best Practice & Research Clinical Rheumatology· Health Professions
machine prediction:candidate · noneconsensus · none
7
citations
affaboutunlabeled
Healthcare in Canada: Choices Going Forward
Terrence J. Montague, Bonnie S. Cochrane, Amédé Gogovor, John Aylen, Lesli Martin, Joanna Nemis‐White
2018· article· en· Healthcare Quarterly· Health Professions
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affno abstractunlabeled
Canada's family physician shortage
Paul Webster
2024· article· en· The Lancet· Health Professions
machine prediction:candidate · noneconsensus · none
6
citations
venueno affno abstractunlabeled
10.1016/b978-84-9022-109-9.00009-5
Amando Martín Zurro
2000· book-chapter· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
6
citations
aboutno affunlabeled
The family is the crucible
Patrick J. McGrath
2008· letter· en· Pain· Health Professions
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Family medicine has become more complex
Christie Newton
2023· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
6
citations
venueaboutno affunlabeled
Family medicine research capacity building
Walter Rosser, Marshall Godwin, Rachelle Seguin
2010· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · metaresearchconsensus · none
6
citations
affvenueaboutunlabeled
Reflections on Ontario's Primary Healthcare Journey
Marsha Barnes, Hugh MacLeod
2008· letter· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Health Professions
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Veterans' health system blazing trails
J. R. Brooks
2008· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Improving Care in Orthopaedics
Jesse Wolfstadt, Sarah Ward, Scott Kim, Chaim M. Bell
2018· article· en· Journal of Bone and Joint Surgery· Health Professions
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About