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 196,966 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.

196,966 results · 2 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.
196,966 works in the cohort · of 4,299,418page 10 of 3,940

Labels cover 472 of 196,966 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 196,966 of 196,966 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
New signals from the invasive front
Gerhard Christofori
2006· review· en· Nature· Medicine
machine prediction:candidate · noneconsensus · none
1,024
citations
fundno affunlabeled
Prokaryotic Evolution in Light of Gene Transfer
J. Peter Gogarten, W. Ford Doolittle, Jeffrey G. Lawrence
2002· article· en· Molecular Biology and Evolution· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
998
citations
fundno affunlabeled
The Role of Microglia in the Healthy Brain: Figure 1.
Marie‐Ève Tremblay, Beth Stevens, Amanda Sierra, Hiroaki Wake, Alain Bessis, Axel Nimmerjahn
2011· review· en· Journal of Neuroscience· Neuroscience
machine prediction:candidate · noneconsensus · none
995
citations
fundno affno abstractunlabeled
Hydrology and Earth System Sciences
2018· paratext· en· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
992
citations
fundno affno abstractunlabeled
Nanocellulose, a tiny fiber with huge applications
Tíffany Abitbol, Amit Rivkin, Yifeng Cao, Yuval Nevo, Eldho Abraham, Tal Ben‐Shalom +2 more
2016· review· en· Current Opinion in Biotechnology· Materials Science
machine prediction:candidate · noneconsensus · none
986
citations
fundno affno abstractunlabeled
Genome-wide Identification of Polycomb-Associated RNAs by RIP-seq
Jing Zhao, Toshiro K. Ohsumi, Johnny T. Kung, Yuya Ogawa, Daniel Grau, Kavitha Sarma +4 more
2010· article· en· Molecular Cell· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
983
citations
fundno affunlabeled
Climate-driven regime shifts in the biological communities of arctic lakes
John P. Smol, Alexander P. Wolfe, H. J. B. Birks, Marianne S. V. Douglas, Vivienne J. Jones, Atte Korhola +20 more
2005· article· en· Proceedings of the National Academy of Sciences· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
980
citations
fundno affunlabeled
Vascular Remodeling in Hypertension
Hope D. Intengan, Ernesto L. Schiffrin
2001· review· en· Hypertension· Medicine
machine prediction:candidate · noneconsensus · none
971
citations
fundno affunlabeled
Change in End-of-Life Care for Medicare Beneficiaries
Joan M. Teno, Pedro Gozalo, Julie Bynum, Natalie E. Leland, Susan C. Miller, Nancy E. Morden +3 more
2013· article· en· JAMA· Medicine
machine prediction:candidate · noneconsensus · none
962
citations

How this was built: Screen · Findings · About