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
Topic
Simulation-Based Education in Healthcare
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.

2,300 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.
2,300 works in the cohort · of 4,299,418page 40 of 46

Labels cover 5 of 2,300 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 2,300 of 2,300 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
Simulators can shorten the time to perform key therapeutic maneuvers
Rob Johnston, Sanjiv Gupta, Robert Elliott, George A. Dumitrascu, Michelle Chiu, Simone Crooks
2008· article· fr· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
ONGOING NURSING EDUCATION -- BY FRONTLINE, FOR FRONTLINE
Linda D. Boyd, Sara Gracie, Mayra Aguilar McBride, Noreen Millar, P. Jade-Kelly, Y. Uno +2 more
2014· article· en· Canadian Journal of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Unveiling an intimate affair
Pierre Voisine
2017· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About