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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
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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 22 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
Qualitative Research in Medical Education
Stella Ng, Lindsay Baker, Sayra Cristancho, Tara J T Kennedy, Lorelei Lingard
2018· other· en· Medicine
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Feedback in the OSCE: What Do Residents Remember?
Susan Humphrey‐Murto, Marika Mihok, Debra Pugh, Claire Touchie, Samantha Halman, Timothy J. Wood
2016· article· en· Teaching and Learning in Medicine· Medicine
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
See One, Do One, Teach One
Sharon Johnston
2006· review· en· Clinical Orthopaedics and Related Research· Medicine
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
A Matter of Trust
Elizabeth Hendren, Arno K. Kumagai
2019· article· en· Academic Medicine· Medicine
machine prediction:candidate · noneconsensus · none
32
citations
afffundgemma · metaresearch+bibliometricsgpt · bibliometricsmodels split
A Bibliometric Analysis of Evaluative Medical Education Studies
Margaret Sampson, Tanya Horsley, Asif Doja
2013· article· en· Academic Medicine· Medicine
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
32
citations
venueno affunlabeled
Assessment of Technical Skills: Best Practices
Stephen A. May, Stanley D. Head
2010· article· en· Journal of Veterinary Medical Education· Medicine
machine prediction:candidate · metaresearchconsensus · none
31
citations
affunlabeled
Strange days
Kevin W. Eva
2020· article· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
31
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
31
citations
afffundaboutunlabeled
Feasibility of a Knowledge Translation CME Program: Courriels Cochrane
Pierre Pluye, Roland Grad, Vera Granikov, Guylène Thériault, Pierre Frémont, Bernard Burnand +10 more
2012· article· en· Journal of Continuing Education in the Health Professions· Medicine
machine prediction:candidate · metaresearchconsensus · none
31
citations
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

How this was built: Screen · Findings · About