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 1,780 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.

affno abstractunlabeled
Primary intracerebral hemorrhage
Garnette R. Sutherland, Roland N. Auer
2006· review· en· Journal of Clinical Neuroscience· Medicine
machine prediction:candidate · noneconsensus · none
185
citations
affno abstractunlabeled
State of the art in geriatric rehabilitation. Part I: Review of frailty and comprehensive geriatric assessment11No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the authors or upon any organization with which the authors are associated.
Jennie Wells, Jamie A. Seabrook, Paul Stolee, Michael Borrie, Frank Knoefel
2003· review· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
185
citations
affunlabeled
SymbiosisSketch
Rahul Arora, Rubaiat Habib Kazi, Tovi Grossman, George Fitzmaurice, Karan Singh
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
185
citations
afffundunlabeled
Concept discovery from text
Dekang Lin, Patrick Pantel
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
185
citations
aboutno affno abstractunlabeled
Behavioral responses to risk in rural China
Jyotsna Jalan, Martin Ravallion
2001· article· en· Journal of Development Economics· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
184
citations
afffundaboutunlabeled
A review of quantitative methods for movement data
Jed A. Long, Trisalyn Nelson
2012· review· en· International Journal of Geographical Information Systems· Social Sciences
machine prediction:candidate · noneconsensus · none
184
citations
affunlabeled
Internet traffic measurement
Carey Williamson
2001· article· en· IEEE Internet Computing· Computer Science
machine prediction:candidate · noneconsensus · none
184
citations
affno abstractunlabeled
Crowdfunding cleantech
Douglas J. Cumming, Gaël Leboeuf, Armin Schwienbacher
2017· article· en· Energy Economics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
184
citations

How this was built: Screen · Findings · About