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.

This cohort has 4,299,418 works, more than the 100,000-row export cap: the file will contain the first 100,000 ordered by OpenAlex id, and says so in its last line. Narrow the cohort, page the API, or rebuild the frame from the repository for the rest. 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
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.

4,299,418 results · 0 filters 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.
4,299,418 works in the cohort · of 4,299,418page 2,767 of 85,989

Labels cover 11,048 of 4,299,418 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 4,299,418 of 4,299,418 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.

fundno affno abstractunlabeled
Metallo-aminopeptidase inhibitors
Artur Mucha, Marcin Drąg, John P. Dalton, Paweł Kafarski
2010· review· en· Biochimie· Medicine
machine prediction:candidate · noneconsensus · none
135
citations
affunlabeled
Aflibercept in wet AMD: specific role and optimal use
Francesco Semeraro, Morescalchi, Sarah Duse, Francesco Parmeggiani, Gambicorti, Ciro Costagliola
2013· review· en· Drug Design Development and Therapy· Medicine
machine prediction:candidate · noneconsensus · none
135
citations
affno abstractunlabeled
A Newly Discovered Antifibrotic Pathway Regulated by Two Fatty Acid Receptors
Lyne Gagnon, Martin Leduc, Jean-François Thibodeau, Ming‐Zhi Zhang, Brigitte Grouix, François Sarra‐Bournet +27 more
2018· article· en· American Journal Of Pathology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
135
citations
affunlabeled
Mapping the Field
Carole A. Estabrooks, Connie Winther, Linda Derksen
2004· article· en· Nursing Research· Health Professions
machine prediction:candidate · bibliometricsconsensus · none
135
citations

How this was built: Screen · Findings · About