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 Systems, Economic Evaluations, Quality of Life
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.

6,862 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.
6,862 works in the cohort · of 4,299,418page 44 of 138

Labels cover 97 of 6,862 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 6,862 of 6,862 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
Percutaneous interventions in cardiology in Poland in the year 2017. Summary report of the Association of Cardiovascular Interventions of the Polish Cardiac Society AISN PTK and Jagiellonian University Medical College
Dariusz Dudek, Zbigniew Siudak, Jacek Legutko, Aleksander Araszkiewicz, Jacek Bil, Maciej Dąbrowski +6 more
2018· article· en· Advances in Interventional Cardiology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations
affvenueunlabeled
Do antidepressants really work?
Pierre Blier
2008· editorial· en· Journal of Psychiatry and Neuroscience· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations
aboutno affunlabeled
CHALLENGES, CHOICES, AND CANADA
Jill M. Sanders
2002· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations
afffundaboutunlabeled
Genome Diagnostics: Novel Strategies for Measuring Value
Robin Z. Hayeems, Stephanie Luca, Eleanor Pullenayegum, M. Stephen Meyn, Wendy J. Ungar
2019· article· en· Journal of Managed Care & Specialty Pharmacy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations
affaboutunlabeled
The Choosing Wisely Canada cancer initiative.
Gunita Mitera, Andrea Bezjak, Christopher M. Booth, Guila Delouya, Christine Desbiens, Craig C. Earle +5 more
2014· article· en· Journal of Clinical Oncology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations
aboutno affunlabeled
Sink or swim — ageing in Australia
Bev OʼConnell, Joan Ostaszkiewicz
2005· article· en· Australian Health Review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
11
citations
affaboutunlabeled
Medical Services Utilization Patterns by Seniors
Mark W. Rosenberg, Amanda James
2000· article· fr· Canadian Journal on Aging / La Revue canadienne du vieillissement· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Regulatory Review: How Do Agencies Ensure the Quality of Decision Making?
Lawrence Liberti, Neil McAuslane, Prisha Patel, A Breckenridge, Hans‐Georg Eichler, Robert O. Peterson
2013· article· en· Clinical Pharmacology & Therapeutics· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
10
citations
affno abstractgemma · metaresearchgpt · metaresearchmodels agree
Ethical Challenges Associated with Pragmatic and Cluster RCTs
Charles Weijer, Monica Taljaard
2024· article· en· New England Journal of Medicine· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
10
citations

How this was built: Screen · Findings · About