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
Health Policy Implementation Science
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.

4,272 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.
4,272 works in the cohort · of 4,299,418page 50 of 86

Labels cover 308 of 4,272 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 4,272 of 4,272 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.

affno abstractunlabeled
Avoiding common pitfalls in mixed methods research?
Patricia O’Sullivan, Ayelet Kuper, Jennifer Cleland
2024· editorial· en· Advances in Health Sciences Education· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
3
citations
afffundunlabeled
Engaging patient and community stakeholders in the optimization of the Compassionate And Loving Mindset towards heart health risk (CALM Hearts) physical activity intervention: a description of initial work and protocol for future engagement activities
Anna M. Chudyk, Sasha M. Kullman, Donna Pool, Todd A. Duhamel, Maureen C. Ashe, Shaelyn M. Strachan
2024· letter· en· Research Involvement and Engagement· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
A New Day for Academic Psychiatry
Richard Balon, Eugene V. Beresin, John Coverdale, Michelle Goldsmith, Alan K. Louie, Glendon R. Tait +1 more
2014· editorial· en· Academic Psychiatry· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affgpt · metaresearchgrok · metaresearchopus · metaresearchmodels agree
Addressing Complexity in Chronic Disease Prevention Research
Melanie Pescud, Lucie Rychetnik, Sharon Friel, Michelle Irving, Therese Riley, Diane T. Finegood +3 more
2023· article· en· Systems· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About