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
Healthcare Policy and Management
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.

3,600 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.
3,600 works in the cohort · of 4,299,418page 36 of 72

Labels cover 5 of 3,600 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 3,600 of 3,600 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.

aboutno affunlabeled
Medical care delivery.
GH Platt
2005· article· en· Europe PMC (PubMed Central)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Canada faces healthcare crisis
2000· article· en· BMJ· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
A New ATS Committee
Holger J. Schünemann, John E. Heffner
2005· editorial· en· American Journal of Respiratory Cell and Molecular Biology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
How Competitive Are Income Annuity Providers Over Time?
David Blanchett, Michael S. Finke, Branislav Nikolic
2021· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
New Issues in VAT Design
Richard M. Bird, Pierre-Pascal Gendron
2007· book-chapter· en· Cambridge University Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Health policy, markets, and medicine
Jonathan Oberlander
2005· book· en· Duke University Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Costs versus Coverage, Then and Now
Joseph White
2020· article· en· Journal of Health Politics Policy and Law· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Corrigendum to ‘Optimizing Health Care Resource Allocation, Workforce “Right-Sizing,” and Stakeholder Collaboration’ Journal of the Society for Cardiovascular Angiography & Interventions 3;12 (2024) 102397
Michael N. Young, Anita Asgar, Andrew M. Goldsweig, James Hermiller, Omar Khalique, Steven V. Manoukian +12 more
2025· erratum· en· Journal of the Society for Cardiovascular Angiography & Interventions· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Where are Canada's PAs in 2023?
Ian W. Jones
2023· review· en· JAAPA· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Medicare needs a tune-up, says CMA president
Roger Collier
2010· article· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About