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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.

affaffiliation
fundfunder
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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 · 1 filter 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 1,645 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.

affunlabeled
Aptamer-Facilitated Biomarker Discovery (AptaBiD)
Maxim V. Berezovski, Matthias Lechmann, Michael U. Musheev, Tak W. Mak, Sergey N. Krylov
2008· article· en· Journal of the American Chemical Society· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
194
citations
afffundno abstractunlabeled
The Importance of Genetic Redundancy in Evolution
Áki J. Láruson, Sam Yeaman, Katie E. Lotterhos
2020· review· en· Trends in Ecology & Evolution· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
194
citations
afffundno abstractunlabeled
Dynamic behaviour of mining-induced fault slip
Atsushi Sainoki, Hani S. Mitri
2014· article· en· International Journal of Rock Mechanics and Mining Sciences· Engineering
machine prediction:candidate · noneconsensus · none
194
citations
fundno affunlabeled
White Matter Hyperintensities and Cerebral Amyloidosis
Frank A. Provenzano, Jordan Muraskin, Giuseppe Tosto, Atul Narkhede, Ben T. Wasserman, Erica Y. Griffith +5 more
2013· article· en· JAMA Neurology· Medicine
machine prediction:candidate · noneconsensus · none
194
citations
affaboutunlabeled
Cosmic shear statistics and cosmology
2001· article· en· Astronomy and Astrophysics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
194
citations
fundno affno abstractunlabeled
Regulatory B cells in autoimmune diseases
Min Yang, Ke Rui, Shengjun Wang, Liwei Lu
2013· review· en· Cellular and Molecular Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
194
citations

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