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 496 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
Erectile Dysfunction
Rany Shamloul, Anthony J Bella
2012· book· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
428
citations
affunlabeled
Modeling zero-inflated count data with glmmTMB
M. Brooks, Kasper Kristensen, Koen J. van Benthem, Árni Magnússon, Casper Willestofte Berg, Anders Nielsen +3 more
2017· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Mathematics
machine prediction:candidate · noneconsensus · none
428
citations
affno abstractunlabeled
Free Probability and Random Matrices
James A. Mingo, Roland Speicher
2017· book· en· Fields Institute monographs· Mathematics
machine prediction:candidate · noneconsensus · none
427
citations
affno abstractunlabeled
Staged Configuration Using Feature Models
Krzysztof Czarnecki, Simon Helsen, Ulrich W. Eisenecker
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
427
citations
afffundunlabeled
Revisiting the timetable of tuberculosis
Marcel A. Behr, Paul H. Edelstein, Lalita Ramakrishnan
2018· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
427
citations
affno abstractunlabeled
Chitosan-based nanoparticles against bacterial infections
Somaye Rashki, Kasra Asgarpour, Hossein Tarrahimofrad, Maryam Hashemipour, Mohammad Saeid Ebrahimi, Hadis Fathizadeh +5 more
2020· review· en· Carbohydrate Polymers· Materials Science
machine prediction:candidate · noneconsensus · none
427
citations
afffundno abstractunlabeled
The molecular basis of electroporation
D. Peter Tieleman
2004· article· en· BMC Biochemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
427
citations

How this was built: Screen · Findings · About