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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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Medical Malpractice and Liability Issues
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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.

1,259 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.
1,259 works in the cohort · of 4,299,418page 19 of 26

Labels cover 3 of 1,259 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 1,259 of 1,259 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.

affunlabeled
This Won’t Hurt (No, Really)
James P. Waddell
2023· letter· en· Journal of Bone and Joint Surgery· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Safety institute is a go
Tim Lai
2003· article· en· Europe PMC (PubMed Central)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Canadian Medical Law, 3rd ed.
John M. Bonn
2003· article· en· Europe PMC (PubMed Central)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
OA law program spreads to Canada
Peter Suber
2007· preprint· en· Health Professions
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations
affunlabeled
Model Forensic Science
Gary Edmond, Bryan Found, Kristy A. Martire, Kaye Ballantynee, David Hamer, Rachel Searston +12 more
2016· article· en· SSRN Electronic Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Head and Neck Issues in Older Adults
Ken Madden
2014· article· en· Canadian Geriatrics Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
First do no more harm …
David Birnbaum
2013· article· en· Clinical Governance An International Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Consent Can Be Made Easier
John Russell Taylor
2006· article· en· Canadian Journal of Plastic Surgery· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
A Case That Shaped How Regulators Govern in Ontario
Marc Spector, Bernard LeBlanc, Natasha Danson, Farah Raihana Ismail
2015· article· en· Journal of Nursing Regulation· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
CMPA refocuses on preventing complaints
Lauren Vogel
2017· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reporting on Adverse Clinical Events
Colleen M. Culley, Kate Farthing, Aryeh Hurwitz, William N. Kelly, Sondra K. May, Jacyntha A. Sterling +3 more
2004· article· en· Clin-Alert· Health Professions
machine prediction:candidate · metaresearchconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(05)70052-5
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
afffundvenueaboutunlabeled
Law in the Time of COVID
Richard Haigh, Dan Priel
2021· article· en· Osgoode Hall law journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-0-323-03753-2.50044-8
2000· book-chapter· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About