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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 1,272 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 affunlabeled
The Defining Characteristics of Urban Living Labs
Kris Steen, Ellen van Bueren
2017· article· en· Technology Innovation Management Review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
231
citations
affunlabeled
ON THE CLIQUE-WIDTH OF SOME PERFECT GRAPH CLASSES
Martin Charles Golumbic, Udi Rotics
2000· article· en· International Journal of Foundations of Computer Science· Computer Science
machine prediction:candidate · noneconsensus · none
231
citations
afffundno abstractunlabeled
Unleashing the therapeutic potential of NOD-like receptors
Kaoru Geddes, João G. Magalhães, Stephen E. Girardin
2009· review· en· Nature Reviews Drug Discovery· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
231
citations
affunlabeled
Gender-related variables for health research
Mathias Wullum Nielsen, Marcia L. Stefanick, Diana E. Peragine, Torsten B. Neilands, John P. A. Ioannidis, Louise Pilote +7 more
2021· article· en· Biology of Sex Differences· Medicine
machine prediction:candidate · noneconsensus · none
231
citations
affunlabeled
Vascular Access Morbidity and Mortality
Charmaine E. Lok, Robert N. Foley
2013· review· en· Clinical Journal of the American Society of Nephrology· Health Professions
machine prediction:candidate · noneconsensus · none
231
citations
aboutno affunlabeled
Cost-benefit analysis of psychological therapy
Richard Layard, David M. Clark, Martín Knapp, Guy Mayraz
2007· article· en· National Institute Economic Review· Psychology
machine prediction:candidate · noneconsensus · none
231
citations
aboutno affunlabeled
The Heart Failure Revascularisation Trial (HEART)
John G.F. Cleland, Melanie Calvert, Nick Freemantle, Yvonne Arrow, Stephen G. Ball, Robert S. Bonser +4 more
2010· article· en· European Journal of Heart Failure· Medicine
machine prediction:candidate · noneconsensus · none
231
citations
fundno affunlabeled
Valuing water for sustainable development
Dustin Garrick, Jim W. Hall, Andrew P. Dobson, Richard Damania, R. Quentin Grafton, Robert Hope +7 more
2017· article· en· Science· Engineering
machine prediction:candidate · noneconsensus · none
231
citations

How this was built: Screen · Findings · About