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
The Annals of Family Medicine
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.

272 results · 1 filter active ·
Results by year
20032025
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.
272 works in the cohort · of 4,299,418page 2 of 6

Labels cover 2 of 272 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 272 of 272 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
Cardiovascular Risk and Statin Use in the United States
Michael E. Johansen, L. A. Green, Ananda Sen, Sheetal Kircher, Caroline R. Richardson
2014· article· en· The Annals of Family Medicine· Medicine
machine prediction:candidate · noneconsensus · none
67
citations
aboutno affunlabeled
Mental Health Messages in Prominent Mental Health Apps
Lisa Parker, Lisa Bero, Donna Gillies, Melissa Raven, Barbara Mintzes, Jon Jureidini +1 more
2018· article· en· The Annals of Family Medicine· Psychology
machine prediction:candidate · noneconsensus · none
63
citations
affaboutunlabeled
Legacy Drug-Prescribing Patterns in Primary Care
Dee Mangin, J. S. Lawson, Jessica Cuppage, Elizabeth Shaw, Katalin Ivanyi, Amie Davis +1 more
2018· article· en· The Annals of Family Medicine· Medicine
machine prediction:candidate · noneconsensus · none
54
citations
affaboutunlabeled
Access to Primary Care for Persons Recently Released From Prison
Nahla Fahmy, Fiona G. Kouyoumdjian, Jonathan Berkowitz, S. Fahmy, Carlos Magno Neves, Stephen W. Hwang +1 more
2018· article· en· The Annals of Family Medicine· Social Sciences
machine prediction:candidate · noneconsensus · none
50
citations

How this was built: Screen · Findings · About