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
Global Public Health Policies and Epidemiology
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.

2,784 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.
2,784 works in the cohort · of 4,299,418page 26 of 56

Labels cover 13 of 2,784 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 2,784 of 2,784 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
Survival of the Fattest
Milton H. Saier, J. T. Trevors
2009· article· en· Water Air & Soil Pollution· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Gender issues: Do as I say, not as I do?
Tammy Clifford
2011· editorial· en· International Journal of Technology Assessment in Health Care· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
To Toronto With Love
2006· article· en· Science· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
afffundunlabeled
Introduction and population [2010–1]
T. Kue Young, Susan Chatwood, Rajiv Rawat
2010· article· en· International Journal of Circumpolar Health· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Obesity a heavy burden in Nova Scotia
Donalee Moulton
2000· article· en· Europe PMC (PubMed Central)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Global health, human rights, and the law
Lisa Forman, Claire E. Brolan, Kristi Heather Kenyon
2019· letter· en· The Lancet· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
SDGs, health and the G20: A vision for public policy
Sunisha Neupane, Zoë Boutilier, Ilona Kickbusch, Ali Mehdi, Miriam Sangiorgio, Michaela Told +1 more
2018· preprint· en· RePEc: Research Papers in Economics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Political determinants of cancer health
Edward Christopher Dee, Maria Jocelyn Kara Magsanoc-Alikpala, Fábio Ynoe de Moraes, Jonas Willmann, Frederic Ivan L. Ting, Erin Jay G. Feliciano
2025· article· en· The Lancet Regional Health - Americas· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Overweight, inactive kids worry Health Canada
Steven Wharry
2002· article· en· Europe PMC (PubMed Central)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Ebola epidemic outpacing response: MSF
Lauren Vogel
2014· article· en· Canadian Medical Association Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About