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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.

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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.

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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
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20002025
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Machine labels · sparse coverage
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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 845 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.

venueno affno abstractunlabeled
Epidemiology of glaucoma: what's new?
Colin Cook, Paul J. Foster
2012· article· en· Canadian Journal of Ophthalmology· Medicine
machine prediction:candidate · noneconsensus · none
303
citations
afffundunlabeled
Two-step pathway for isoprenoid synthesis
Alkiviadis Orfefs Chatzivasileiou, Valerie C. A. Ward, Steven Edgar, Gregory Stephanopoulos
2018· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
303
citations
afffundunlabeled
Intersectional inequalities in science
Diego Kozlowski, Vincent Larivière, Cassidy R. Sugimoto, Thema Monroe‐White
2022· article· en· Proceedings of the National Academy of Sciences· Social Sciences
machine prediction:candidate · stsconsensus · none
303
citations
affno abstractunlabeled
The Marmoset Brain in Stereotaxic Coordinates
George Paxinos, Charles Watson, Michael Petrides, Marcello Goncalves Rosa
2025· book· en· Elsevier eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
303
citations
afffundunlabeled
Selective Carbon–Carbon Bond Cleavage of Cyclopropanols
Tyler McDonald, L. Reginald Mills, Michael S. West, Sophie A. L. Rousseaux
2020· review· en· Chemical Reviews· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
303
citations
affno abstractunlabeled
A UML-Based Approach to System Testing
Lionel Briand, Yvan Labiche
2002· article· en· Software & Systems Modeling· Computer Science
machine prediction:candidate · noneconsensus · none
303
citations
afffundunlabeled
Guidelines for Genome-Scale Analysis of Biological Rhythms
Michael E. Hughes, Katharine C. Abruzzi, Ravi Allada, Ron C. Anafi, Alaaddin Bulak Arpat, Gad Asher +86 more
2017· article· en· Journal of Biological Rhythms· Neuroscience
machine prediction:candidate · noneconsensus · none
303
citations
afffundunlabeled
Neutrophils instruct homeostatic and pathological states in naive tissues
María Casanova-Acebes, José Ángel Nicolás-Ávila, J Li, Susana Garcı́a-Silva, Akhila Balachander, Andrea Rubio-Ponce +18 more
2018· article· en· The Journal of Experimental Medicine· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
303
citations

How this was built: Screen · Findings · About