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

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 574 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.

affgemma · metaresearch+open_sciencegpt · scholarly_communication+open_sciencemodels split
The TRUST Principles for digital repositories
Dawei Lin, Jonathan Crabtree, Ingrid Dillo, Robert R. Downs, Rorie Edmunds, David Giaretta +13 more
2020· article· en· Scientific Data· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · none
390
citations
afffundunlabeled
Quantum capacitance in nanoscale device modeling
D.L. John, Leonardo C. Castro, D.L. Pulfrey
2004· article· en· Journal of Applied Physics· Materials Science
machine prediction:candidate · noneconsensus · none
390
citations
affno abstractunlabeled
Artificial intelligence for natural product drug discovery
Michael W. Mullowney, Katherine Duncan, Somayah S. Elsayed, Neha Garg, Justin J. J. van der Hooft, Nathaniel I. Martin +52 more
2023· review· en· Nature Reviews Drug Discovery· Computer Science
machine prediction:candidate · noneconsensus · none
390
citations
affno abstractunlabeled
The loss of sex in clonal plants
Christopher G. Eckert
2002· book-chapter· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
390
citations
affunlabeled
The Psychology of Left and Right
Michael C. Corballis, Ivan L. Beale
2020· book· en· Engineering
machine prediction:candidate · noneconsensus · none
390
citations
afffundunlabeled
NORMS MAKE PREFERENCES SOCIAL
Erik O. Kimbrough, Alexander Vostroknutov
2015· article· en· Journal of the European Economic Association· Social Sciences
machine prediction:candidate · noneconsensus · none
389
citations
affunlabeled
Sedation in the Intensive Care Unit
Marlies Ostermann, Sean Keenan, Roxanne A. Seiferling, William J. Sibbald
2000· review· en· JAMA· Medicine
machine prediction:candidate · noneconsensus · none
389
citations
afffundno abstractunlabeled
Wnt signaling in myogenesis
Julia von Maltzahn, Natasha C. Chang, C. Florian Bentzinger, Michael A. Rudnicki
2012· review· en· Trends in Cell Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
389
citations
affunlabeled
Management of Hypertrophic Cardiomyopathy
Barry J. Maron, Milind Y. Desai, Rick A. Nishimura, Paolo Spirito, Harry Rakowski, Jeffrey A. Towbin +4 more
2022· review· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
389
citations
affunlabeled
FAO Technical Meeting on Prebiotics
Maya Piñeiro, Nils‐Georg Asp, Gregor Reid, Sandra Macfarlane, Lorenzo Morelli, Oscar Brunser +1 more
2008· article· en· Journal of Clinical Gastroenterology· Nursing
machine prediction:candidate · noneconsensus · none
389
citations
← previousnext →

How this was built: Screen · Findings · About