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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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Innovations in Medical Education
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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.

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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 23 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.

affunlabeled
The Cognitive Base of Professionalism
Sylvia R. Cruess, Richard L. Cruess
2008· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
Medical students’ perception of dyad practice
Martin G. Tolsgaard, Maria Rasmussen, Sebastian Bjørck, Amandus Gustafsson, Charlotte Ringsted
2014· article· en· Perspectives on Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
30
citations
affaboutunlabeled
Resident Role Modeling
Robert Sternszus, Mary Ellen Macdonald, Yvonne Steinert
2015· article· en· Academic Medicine· Medicine
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
“It Depends”
Shiphra Ginsburg, Elizabeth Bernabeo, Kathryn M. Ross, Eric S. Holmboe
2012· article· en· Academic Medicine· Medicine
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
The Readiness for Clerkship Survey
Linda N. Peterson, Kevin W. Eva, Shayna A. Rusticus, Chris Y. Lovato
2012· article· en· Academic Medicine· Medicine
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Towards an acceptance of performance assessment
Paul Finucane, Sara Barron, Helena Davies, R S Hadfield-Jones, Tiina Kaigas
2002· article· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
28
citations
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How this was built: Screen · Findings · About