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 1,040 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.

afffundaboutunlabeled
Overview of the Alberta Kidney Disease Network
Fiona Clement, Braden Manns, Scott Klarenbach, Matthew T. James, Pietro Ravani, Neesh Pannu +10 more
2009· article· en· BMC Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
265
citations
affunlabeled
MixUp as Locally Linear Out-of-Manifold Regularization
Hongyu Guo, Yongyi Mao, Richong Zhang
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
265
citations
affno abstractunlabeled
Outcome of Transplantation for Myelofibrosis
Karen K. Ballen, Smriti Shrestha, Kathleen A. Sobocinski, Mei-Jie Zhang, Asad Bashey, Brian J. Bolwell +18 more
2009· article· en· Biology of Blood and Marrow Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
265
citations
fundno affunlabeled
The biology of habitat dominance; can microbes behave as weeds?
Jonathan A. Cray, Andrew N. W. Bell, Prashanth Bhaganna, Allen Y. Mswaka, David J. Timson, John E. Hallsworth
2013· review· en· Microbial Biotechnology· Environmental Science
machine prediction:candidate · noneconsensus · none
265
citations
afffundno abstractunlabeled
QCD plasma instabilities and bottom-up thermalization
Peter Arnold, Jonathan Lenaghan, Guy D. Moore
2003· article· en· Journal of High Energy Physics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
265
citations
afffundunlabeled
Decadal record of satellite carbon monoxide observations
H. M. Worden, M. N. Deeter, Christian Frankenberg, M. George, F. Nichitiu, John R. Worden +15 more
2013· article· en· Atmospheric chemistry and physics· Environmental Science
machine prediction:candidate · noneconsensus · none
265
citations
affaboutunlabeled
Beyond Trust
Dianne Cyr, Carole Bonanni, John Bowes, Joe Ilsever
2005· article· en· Journal of Global Information Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
265
citations

How this was built: Screen · Findings · About