MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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 359 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
Bcl10 activates the NF-κB pathway through ubiquitination of NEMO
Honglin Zhou, Ingrid E. Wertz, Karen O’Rourke, Mark Ultsch, Somasekar Seshagiri, Michael Eby +2 more
2003· article· en· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
526
citations
affunlabeled
Understanding the Bone in Cancer Metastasis
Jaime Fornetti, Alana L. Welm, Sheila A. Stewart
2018· review· en· Journal of Bone and Mineral Research· Medicine
machine prediction:candidate · noneconsensus · none
526
citations
afffundno abstractunlabeled
The Lancet Psychiatry Commission on youth mental health
Patrick D. McGorry, Cristina Mei, Naeem Dalal, Mario Álvarez‐Jiménez, Sarah‐Jayne Blakemore, Vivienne Browne +47 more
2024· review· en· The Lancet Psychiatry· Health Professions
machine prediction:candidate · noneconsensus · none
526
citations
afffundno abstractunlabeled
Citrobacter rodentium: infection, inflammation and the microbiota
James W. Collins, Kristie M. Keeney, Valérie F. Crepin, Vijay Rathinam, Katherine A. Fitzgerald, B. Brett Finlay +1 more
2014· review· en· Nature Reviews Microbiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
525
citations
afffundno abstractunlabeled
Antimicrobial properties of lactoferrin
Håvard Jenssen, Rebecca Hancock
2008· review· en· Biochimie· Nursing
machine prediction:candidate · noneconsensus · none
525
citations
afffundunlabeled
Income inequality measures: Figure 1
Fernando G. De Maio
2007· review· en· Journal of Epidemiology & Community Health· Social Sciences
machine prediction:candidate · noneconsensus · none
525
citations
affunlabeled
Climate change vulnerability assessment of species
Wendy Foden, Bruce E. Young, H. Reşi̇t Akçakaya, Raquel A. Garcia, Ary A. Hoffmann, Bruce A. Stein +12 more
2018· article· en· Wiley Interdisciplinary Reviews Climate Change· Environmental Science
machine prediction:candidate · noneconsensus · none
525
citations
← previousnext →

How this was built: Screen · Findings · About