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 1,648 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.

affunlabeled
International Impact of COVID-19 on the Diagnosis of Heart Disease
Andrew J. Einstein, Leslee J. Shaw, Cole B. Hirschfeld, Michelle A. Williams, Todd C. Villines, Nathan Better +25 more
2021· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
194
citations
affno abstractunlabeled
Vitamin D Insufficiency in North America
David A. Hanley, K. Shawn Davison
2005· review· en· Journal of Nutrition· Medicine
machine prediction:candidate · noneconsensus · none
194
citations
affno abstractunlabeled
Patterns of recurrence of congenital heart disease
Harinder Gill, Miranda Splitt, Gurleen Sharland, John Simpson
2003· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
194
citations
affno abstractunlabeled
Arrhythmias in a Contemporary Fontan Cohort
Elizabeth A. Stephenson, Minmin Lü, Charles I. Berul, Susan P. Etheridge, Salim F. Idriss, Renée Margossian +5 more
2010· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
194
citations
aboutno affunlabeled
A 100-Year Review: Calf nutrition and management
A.F. Kertz, T.M. Hill, J.D. Quigley, A.J. Heinrichs, J.G. Linn, J.K. Drackley
2017· review· en· Journal of Dairy Science· Veterinary
machine prediction:candidate · noneconsensus · none
194
citations
affunlabeled
Models of Luteinization1
Bruce D. Murphy
2000· review· en· Biology of Reproduction· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
194
citations
affunlabeled
Evaluation of fraction of absorbed photosynthetically active radiation products for different canopy radiation transfer regimes: Methodology and results using Joint Research Center products derived from SeaWiFS against ground‐based estimations
Nadine Gobron, B. Pinty, Ophélie Aussedat, Jing M. Chen, Warren B. Cohen, Rasmus Fensholt +10 more
2006· article· en· Journal of Geophysical Research Atmospheres· Environmental Science
machine prediction:candidate · noneconsensus · none
194
citations

How this was built: Screen · Findings · About