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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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Innovations in Medical Education
Retraction
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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.

6,256 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.
6,256 works in the cohort · of 4,299,418page 54 of 126

Labels cover 27 of 6,256 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 6,256 of 6,256 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
Case-based discussion
Nick Brown, Gareth Holsgrove, Sadira Teeluckdharry
2011· article· en· Advances in Psychiatric Treatment· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Milestones: Quo Vadis?
Felix Ankel, Doug Franzen, Jason R. Frank
2013· letter· en· Academic Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
Medical education and informal teaching by nurses and midwives
Jean Gilmour, Annette Huntington, Fiona Bogossian, Bernadette Leadbitter, Catherine Turner
2014· article· en· International Journal of Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Orthopaedic Surgeons as Educators
Stephen J. Pinney, Samir Mehta, Daniel D. Pratt, John F. Sarwark, Edmund Campion, Laurel C. Blakemore +1 more
2007· article· en· Journal of Bone and Joint Surgery· Medicine
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About