MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Statistical Methods in Clinical Trials
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.

1,557 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.
1,557 works in the cohort · of 4,299,418page 26 of 32

Labels cover 46 of 1,557 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 1,557 of 1,557 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
Iso 2339 pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Correlation
Alexandra Mossman, Christopher Grant, Chel Hee Lee
2025· book-chapter· en· Elsevier eBooks· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Phase III trials
AP Grieve
2005· book-chapter· en· Research Portal (King's College London)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reply
S. Daya
2003· article· en· Human Reproduction· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Fuzzy Method for Multiple Hypotheses Testing Procedure
Veerapat Taweesapaya, Ampai Thongteeraparp, Wandee Wanishsakpong, Pupe Sudsila, Andrei Volodin
2024· article· en· Lobachevskii Journal of Mathematics· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
[no title]
Sondra vanderVaart, Mary‐Ellen Hogan, Thomas R. Einarson
2010· letter· en· Clinical Therapeutics· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Reply
Ivna G C V Lima, Jairo Tavares Nunes
2025· letter· en· JACC Advances· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Epilogue
John H. Maindonald, W. John Braun
2013· book-chapter· en· Cambridge University Press eBooks· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueno abstractunlabeled
Is it time to end lone-wolf medicine?
Andrew Loblaw
2016· article· en· Canadian Urological Association Journal· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About