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
npj Breast Cancer
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.

84 results · 1 filter active ·
Results by year
20152025
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.
84 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 84 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 84 of 84 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
Clinical consequences of BRCA2 hypomorphism
Laia Castells‐Roca, Sara Gutiérrez‐Enríquez, Sandra Bonache, Massimo Bogliolo, Estela Carrasco, Miriam Aza‐Carmona +12 more
2021· article· en· npj Breast Cancer· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Advancing equitable access to innovation in breast cancer
Séamus O’Reilly, Inês Vaz-Luís, Virginie Adam, Evangelia Razis, Ander Urruticoechea, Amal Arahmani +13 more
2025· article· en· npj Breast Cancer· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About