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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
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
Evidence
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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 55 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
The Cost of Quality in Diabetes.
Ahmad Ghany, Karim Keshavjee
2017· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affaboutno abstractRetractionunlabeled
RETRACTED: A check-up on Canada's health system
Kishor M. Wasan, Ellen K. Wasan, Jawahar Kalra
2017· article· en· The Lancet· Health Professions
machine prediction:candidate · research_integrityconsensus · none
1
citations
venueaboutno affunlabeled
NDP leader charges feds with “bullying”
Barbara Sibbald
2014· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Navigating Informed Choice in Canadian Midwifery Care
Kirsten Montgomery, Jennifer Nguyen, Jennifer Goldberg
2025· article· en· Canadian Journal of Midwifery Research and Practice· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
ADVICE: Leadership lessons and observations
Nicole Boutilier
2023· article· en· Canadian Journal of Physician Leadership· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Are UK junior doctors doing the right thing?
Debra Martens
2016· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Medicare challenge heads to trial
Lauren Vogel
2016· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
A grand seduction indeed.
Eric Cadesky
2007· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Stronger and more beautiful
Nicholas Pimlott
2022· editorial· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Challenges in transition to practice
Amy Basilious
2023· article· en· University of Western Ontario Medical Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Poverty: A clinical instrument for family physicians
Gayathri Sivakumar, Brandon Chau
2017· article· en· University of Western Ontario Medical Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Mapping where patients access primary care providers.
Eliot Frymire, Peter Gozdyra, Michael Green, Imaan Bayoumi, Richard H. Glazier, Liisa Jaakkimainen +3 more
2022· article· en· International Journal for Population Data Science· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Family docs: the power of numbers
Roger Collier
2012· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Modeling urology when primary care is universal
Michael Leveridge
2025· article· en· Canadian Urological Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Evidence of Change
Alison Brettle
2014· article· en· Evidence Based Library and Information Practice· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Advocates on your behalf.
Collins-Nakai Rl
2000· article· en· PubMed· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
My first time
Meera Mahendiran
2021· article· en· Patient Education and Counseling· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About