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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.

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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 6 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
Encouraging residents to seek feedback
Dianne Delva, Joan Sargeant, Stephen G. Miller, Joanna Holland, Peggy Alexiadis Brown, Constance LeBlanc +2 more
2013· article· en· Medical Teacher· Medicine
machine prediction:candidate · noneconsensus · none
115
citations
affno abstractunlabeled
Feedback Redefined: Principles and Practice
Subha Ramani, Karen D. Könings, Shiphra Ginsburg, Cees van der Vleuten
2019· article· en· Journal of General Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
114
citations
affunlabeled
Feedback and coaching
Adelle Atkinson, Christopher Watling, Paul L.P. Brand
2021· review· en· European Journal of Pediatrics· Medicine
machine prediction:candidate · noneconsensus · none
111
citations
affunlabeled
Twelve tips for enhancing student engagement
Harm Peters, Marko Zdravković, Manuel João Costa, Antonio Celenza, Kulsoom Ghias, Debra L. Klamen +6 more
2018· article· en· Medical Teacher· Medicine
machine prediction:candidate · noneconsensus · none
108
citations
affunlabeled
Faculty development: if you build it, they will come
Yvonne Steinert, Mary Ellen Macdonald, Miriam Boillat, Michelle Elizov, Sarkis Meterissian, Saleem Razack +2 more
2010· article· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
104
citations
affvenueunlabeled
Faculty Development: Principles and Practices
Yvonne Steinert, Karen Mann
2006· article· en· Journal of Veterinary Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
102
citations

How this was built: Screen · Findings · About