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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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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.

1,113 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.
1,113 works in the cohort · of 4,299,418page 14 of 23

Labels cover 3 of 1,113 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 1,113 of 1,113 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
Dialogue vodcasts: a qualitative assessment
Keaton Jones, Brett Doleman, Jonathan N. Lund
2013· article· en· Medical Education· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affaboutunlabeled
The utility of podcasts in Web 2.0 human anatomy
Beata Patasi, Andrew Boozary, Maxwell T. Hincke, Alireza Jalali
2009· article· en· Medical Education· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
The Concordance of Judgement Learning Tool
Amélie Foucault, Serge Dubé, Nicolás Fernández, Robert Gagnon, Bernard Charlin
2014· article· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
When I say <i>psychological debriefing</i>
Andrew Teodorczuk, Brian Kelly, Stuart Carney
2021· article· en· Medical Education· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
11
citations
aboutno affunlabeled
Looking forward to looking back
Kevin W. Eva
2015· editorial· en· Medical Education· Health Professions
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
Sexual prejudice among medical students
Ludwing Flórez‐Salamanca, José Elías Robles Rubio
2013· article· en· Medical Education· Psychology
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Establishing an online mentor database for medical students
Jonathan Weiner, Alexander Small, Lianna R. Lipton, Kristian Stensland, Jillian Aristegui, Meredith Grossman +1 more
2014· article· en· Medical Education· Psychology
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About