MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Medical Education
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

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 ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
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 22 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.

affunlabeled
When I say … responsibility
Michael Sanatani
2025· article· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Picturing the journal
John Bligh
2001· article· en· Medical Education· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Faculty preparation for academic evaluation
Lil Miedzinski, Meridith B. Marks, J Charles Morrison
2009· article· en· Medical Education· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
Droppin' it like it's hot
2025· article· en· Medical Education· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
The medical student’s Toolkit
Judith Littleford, Tania Gottschalk
2012· article· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
When I say autonomy
Adam Neufeld
2025· article· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Introduction
M. Brownell Anderson
2006· article· en· Medical Education· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Psychological debriefing: First do no harm
Andrew Teodorczuk, Brian Kelly, Stuart Carney
2021· letter· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Students and student life
John Bligh
2001· editorial· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
A taxonomy of research relationships
Meredith Young, Antoine Przybylak‐Brouillard, William Kay Archer, Tim Dubé
2025· article· en· Medical Education· Business, Management and Accounting
machine prediction:candidate · metaresearchconsensus · none
0
citations

How this was built: Screen · Findings · About