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 1,094 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.

afffundno abstractunlabeled
Retrieving articulated 3-D models using medial surfaces
Kaleem Siddiqi, Juan Zhang, Diego Macrini, Ali Shokoufandeh, Sylvain Bouix, Sven Dickinson
2007· article· en· Machine Vision and Applications· Engineering
machine prediction:candidate · noneconsensus · none
256
citations
affunlabeled
Biodiversity and Classification of Lactococcal Phages
Hélène Deveau, Simon J. Labrie, Marie‐Christine Chopin, Sylvain Moineau
2006· article· en· Applied and Environmental Microbiology· Environmental Science
machine prediction:candidate · noneconsensus · none
256
citations
affunlabeled
An Academic Response to Basel 3.5
Paul Embrechts, Giovanni Puccetti, Ludger Rüschendorf, Ruodu Wang, Antonela Beleraj
2014· article· en· Risks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
256
citations
affno abstractunlabeled
Grasping the meaning of words
Scott Glover, David Α. Rosenbaum, Jeremy Graham, Peter Dixon
2003· article· en· Experimental Brain Research· Psychology
machine prediction:candidate · noneconsensus · none
256
citations
affno abstractunlabeled
The complex chemical effects of COVID-19 shutdowns on air quality
Jesse H. Kroll, Colette L. Heald, Christopher D. Cappa, Delphine K. Farmer, Juliane L. Fry, J. G. Murphy +1 more
2020· article· en· Nature Chemistry· Environmental Science
machine prediction:candidate · noneconsensus · none
256
citations
affunlabeled
14-3-3 fusion oncogenes in high-grade endometrial stromal sarcoma
Cheng‐Han Lee, Wen‐Bin Ou, Adrián Mariño‐Enríquez, Mei‐Jun Zhu, Mark Mayeda, Yuexiang Wang +19 more
2012· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
256
citations

How this was built: Screen · Findings · About