MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Mental Health and Patient Involvement
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.

2,997 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.
2,997 works in the cohort · of 4,299,418page 38 of 60

Labels cover 48 of 2,997 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 2,997 of 2,997 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.

affvenueunlabeled
MIND Speaks Up: an online platform for youth mental health
M. J. Smith, Eric Y. Stutheit-Zhao, Connor Hawkins, Megan Lucey, Jordan Yeo, Kelly Zerr
2018· article· en· UBC Faculty of Medicine medical journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Police call for more mental health services
Wendy Glauser
2013· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Erratum
Équipe de rédaction de Promotion de la santé et prévention des maladies chroniques au Canada
2018· erratum· fr· Promotion de la santé et prévention des maladies chroniques au Canada· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Social Inclusion as Freedom for Persons Living with Mental Illness
Phyllis Montgomery, Amy Wuest, Cheryl Forchuk, Tracy Smith‐Carrier, Momodou S. Jeng, Abraham Rudnick
2019· article· en· Canadian Journal of Community Mental Health· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Editorial
2011· editorial· es· Health Expectations· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affaboutno abstractunlabeled
Patient-centered research in radiology: A Canadian perspective
Osher Ngo Yung Lee, Farhad Niaghi, Rawan Abu Mughli, Maria Zulfiqar, Waqas Ahmad, Osama Majeed +1 more
2025· review· en· Clinical Imaging· Health Professions
machine prediction:candidate · metaresearchconsensus · none
1
citations
← previousnext →

How this was built: Screen · Findings · About