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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.

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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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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 1,888 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
Visual Perspective in Mental Imagery
Lisa K. Libby, Richard P. Eibach
2011· book-chapter· en· Advances in experimental social psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
177
citations
affunlabeled
How accurately can we measure Weak Gravitational Shear?
T. Erben, Ludovic Van Waerbeke, E. Bertin, Y. Mellier, Peter Schneider
2000· article· en· OpenGrey (Institut de l'Information Scientifique et Technique)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
177
citations
afffundno abstractunlabeled
Resolving the resolution of array CGH
Bradley P. Coe, Bauke Ylstra, Beatriz Carvalho, Gerrit A. Meijer, Calum MacAulay, Wan L. Lam
2007· article· en· Genomics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
177
citations
affno abstractunlabeled
Demographics and cardiology, 1950–2050
David K. Foot, Richard P. Lewis, Thomas A. Pearson, George A. Beller
2000· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
177
citations
affno abstractunlabeled
MAP kinases in chondrocyte differentiation
Lee‐Anne Stanton, T. Michael Underhill, Frank Beier
2003· review· en· Developmental Biology· Medicine
machine prediction:candidate · noneconsensus · none
177
citations
affunlabeled
A Deep Chandra X-Ray Study of Neutron Star Coalescence GW170817
Daryl Haggard, Melania Nynka, John J. Ruan, Vicky Kalogera, S. B. Cenko, P. A. Evans +1 more
2017· article· en· Leicester Research Archive (University of Leicester)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
177
citations
fundno affunlabeled
The Future of Education and Skills
2018· report· en· Education policy pointers· Social Sciences
machine prediction:candidate · noneconsensus · none
177
citations
affunlabeled
Literature review of SNOMED CT use
Dennis Lee, Nicolette F. de Keizer, Francis Lau, Ronald Cornet
2013· review· en· Journal of the American Medical Informatics Association· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
177
citations
fundno affno abstractunlabeled
How social media shapes polarization
Jay Joseph Van Bavel, Steve Rathje, Elizabeth Harris, Claire Robertson, Anni Sternisko
2021· review· en· Trends in Cognitive Sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
177
citations
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