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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 70 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.

affno abstractunlabeled
Saving emergency medicine, part three: compassion
Paul Atkinson, Kavish Chandra, Krishna Pulchan, Anton Helman
2024· editorial· en· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
A Medical Educator’s Guide to #MedEd
Andrew Micieli, Jason R. Frank, Alireza Jalali
2015· article· en· Academic Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
4
citations
aboutno affunlabeled
How Do You Define High-Quality Education Research?
Lalena M. Yarris, Deborah Simpson, Gail M. Sullivan
2013· article· en· Journal of Graduate Medical Education· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
4
citations
venueno affunlabeled
Developing Mentee Skills: A Curriculum Guide
Kate Hodgson, D.A. Freeman, Marcia Darling
2022· article· en· Journal of Veterinary Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Examining Differences in the Preparation and Performance of US MCAT Examinees from Lower-SES Backgrounds: Awareness, Access, and Action Insights to Narrow Learning Opportunity and Performance Gaps and Promote Learning for All Aspiring Physicians
Aubrie Swan Sein, Stephanie C. McClure, Julie A. Chanatry, Daniel M. Clinchot, Liesel Copeland, Francie Cuffney +3 more
2025· article· en· Teaching and Learning in Medicine· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutunlabeled
The Pedagogical Practices of Clinical Nurse Educators
Anita Jennings
2018· dissertation· en· Quality Advancement in Nursing Education - Avancées en formation infirmière· Medicine
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About