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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 196,966 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.

196,966 results · 2 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.
196,966 works in the cohort · of 4,299,418page 405 of 3,940

Labels cover 472 of 196,966 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 196,966 of 196,966 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.

fundno affunlabeled
Human Pancreatic β-Cell G1/S Molecule Cell Cycle Atlas
Nathalie Fiaschi‐Taesch, Jeffrey W. Kleinberger, Fatimah G. Salim, Ronnie Troxell, Rachel C. Wills, Mansoor Tanwir +5 more
2013· article· en· Diabetes· Medicine
machine prediction:candidate · noneconsensus · none
69
citations
fundno affunlabeled
Google Trends can improve surveillance of Type 2 diabetes
Nataliya Tkachenko, Sarunkorn Chotvijit, Neha Gupta, Emma Bradley, Charlotte Gilks, Weisi Guo +5 more
2017· article· en· Scientific Reports· Medicine
machine prediction:candidate · noneconsensus · none
69
citations
fundno affunlabeled
Haemophore functions revisited
Cécile Wandersman, Philippe Delepelaire
2012· review· en· Molecular Microbiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
69
citations
fundno affunlabeled
Sex Differences in Recombination in Sticklebacks
Jason M. Sardell, Changde Cheng, Andrius J. Dagilis, Asano Ishikawa, Jun Kitano, Catherine L. Peichel +1 more
2018· article· en· G3 Genes Genomes Genetics· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
69
citations
fundno affunlabeled
Structural insights into the mechanism of leptin receptor activation
Robert A. Saxton, Nathanael A. Caveney, María Dolores Moya-Garzón, Karsten D. Householder, Grayson E. Rodriguez, Kylie Burdsall +2 more
2023· article· en· Nature Communications· Neuroscience
machine prediction:candidate · noneconsensus · none
69
citations
fundno affunlabeled
Climate change will drive novel cross-species viral transmission
Colin J. Carlson, Gregory F. Albery, Cory Merow, Christopher H. Trisos, Casey M. Zipfel, Evan A. Eskew +3 more
2020· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Medicine
machine prediction:candidate · noneconsensus · none
69
citations

How this was built: Screen · Findings · About