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 Lancet
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.

2,654 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.
2,654 works in the cohort · of 4,299,418page 15 of 54

Labels cover 27 of 2,654 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 2,654 of 2,654 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
Responding to global stimulant use: challenges and opportunities
Michael Farrell, Natasha K. Martin, Emily Stockings, Annick Bórquez, Javier Cepeda, Louisa Degenhardt +6 more
2019· review· en· The Lancet· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
319
citations
affno abstractgemma · no categorygpt · metaepi_broadmodels split
Health interventions for people who are homeless
Stephen W. Hwang, Tom Burns
2014· review· en· The Lancet· Health Professions
machine prediction:candidate · noneconsensus · none
314
citations
affno abstractunlabeled
Use of research to inform public policymaking
John N. Lavis, Francisco Becerra Posada, Andy Haines, Eric Osei
2004· article· en· The Lancet· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
313
citations
affno abstractunlabeled
EQUATOR: reporting guidelines for health research
Douglas G. Altman, Iveta Simera, John Hoey, David Moher, Ken Schulz
2008· article· en· The Lancet· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
313
citations
affno abstractunlabeled
Pulmonary embolism in pregnancy
Ghada Bourjeily, Michael J. Paidas, Hanan Khalil, Karen Rosene‐Montella, Marc Rodger
2009· article· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
306
citations
300
citations
aboutno affno abstractunlabeled
Suicides in young people in rural southern India
Rita Aaron, Abraham Joseph, Sulochana Abraham, Jayaprakash Muliyil, Kuryan George, Jasmine Prasad +3 more
2004· article· en· The Lancet· Psychology
machine prediction:candidate · noneconsensus · none
299
citations

How this was built: Screen · Findings · About