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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 · 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 1,637 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
Return to work after young stroke: A systematic review
Jodi D. Edwards, Arunima Kapoor, Elizabeth Linkewich, Richard H. Swartz
2017· review· en· International Journal of Stroke· Social Sciences
machine prediction:candidate · noneconsensus · none
195
citations
afffundvenueunlabeled
Precision genome editing in the CRISPR era
Jayme Salsman, Graham Dellaire
2016· review· en· Biochemistry and Cell Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
195
citations
afffundunlabeled
Lipidomics era: Accomplishments and challenges
Maroun Bou Khalil, Weimin Hou, Hu Zhou, Fred Elisma, Leigh Anne Swayne, Alexandre P. Blanchard +3 more
2010· review· en· Mass Spectrometry Reviews· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
195
citations
afffundaboutunlabeled
Bee diversity and abundance in an urban setting
Désirée Tommasi, Alice Miro, Heather Higo, Mark L. Winston
2004· article· en· The Canadian Entomologist· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
195
citations
affunlabeled
Dust measurements in tokamaks (invited)
D.L. Rudakov, J.H. Yu, J.A. Boedo, E.M. Hollmann, S. I. Krasheninnikov, R.A. Moyer +19 more
2008· article· en· Review of Scientific Instruments· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
195
citations
affunlabeled
Removing the Veil?
Ian Hudson, Mark Hudson
2003· article· en· Organization & Environment· Social Sciences
machine prediction:candidate · noneconsensus · none
195
citations
affunlabeled
Giving the early fossil record of sponges a squeeze
Jonathan B. Antcliffe, Richard H. T. Callow, Martin D. Brasier
2014· article· en· Biological reviews/Biological reviews of the Cambridge Philosophical Society· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
195
citations

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