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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 251 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
Using Human iPSC-Derived Neurons to Model TAU Aggregation
An Verheyen, Annick Diels, Joyce Dijkmans, Tutu Oyelami, Giulia Meneghello, Liesbeth Mertens +5 more
2015· article· en· PLoS ONE· Neuroscience
machine prediction:candidate · noneconsensus · none
103
citations
fundno affunlabeled
Measuring the ''World'' Real Interest Rate
Mervyn King, David Low
2014· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
103
citations
fundno affunlabeled
The Data-Production Dispositif
Milagros Miceli, Julian Posada
2022· article· en· Proceedings of the ACM on Human-Computer Interaction· Social Sciences
machine prediction:candidate · stsconsensus · none
103
citations
fundno affunlabeled
<i>Trans</i>‐acting translational regulatory RNA binding proteins
Robert F. Harvey, Tom Smith, Thomas E. Mulroney, Rayner M. L. Queiroz, Mariavittoria Pizzinga, Veronica Dezi +4 more
2018· review· en· Wiley Interdisciplinary Reviews - RNA· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
103
citations
fundno affunlabeled
Generative aptamer discovery using RaptGen
Natsuki Iwano, Tatsuo Adachi, Kazuteru Aoki, Yoshikazu Nakamura, Michiaki Hamada
2022· article· en· Nature Computational Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
103
citations

How this was built: Screen · Findings · About