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
International Journal of Clinical Practice
Topic
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.

236 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.
236 works in the cohort · of 4,299,418page 4 of 5

Labels cover 3 of 236 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 236 of 236 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
New ways of insulin delivery
Lutz Heinemann
2012· article· en· International Journal of Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
PATENT FORAMEN OVALE IN ELDERLY STROKE PATIENTS
RR Lewis, Azhar Hussain, K. Rashed, RA Cooke, W R McNabb, J. D. Chambers
2001· article· en· International Journal of Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
RECTAL SALAMI
Jyoti Shah, A Majed, D Rosin
2002· article· en· International Journal of Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Advances in exercise, physical activity and diabetes mellitus
Howard Zisser, Mark Sueyoshi, Kelsey Krigstein, Andrei-Alexandru Szigiato, Michael C. Riddell
2012· article· en· International Journal of Clinical Practice· Health Professions
machine prediction:candidate · noneconsensus · none
5
citations
affaboutno abstractunlabeled
Health reform in Canada
Chris Simms
2010· article· en· International Journal of Clinical Practice· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Type 1 diabetes mellitus: immune intervention
Jay S. Skyler
2012· article· en· International Journal of Clinical Practice· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
New insulins and insulin therapy
Thomas Danne, Jan Bolinder
2012· article· en· International Journal of Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Homoeopathy and I
E. Ernst
2009· article· en· International Journal of Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About