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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 151 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
Stem Cells as an Emerging Paradigm in Stroke 3
Sean I. Savitz, Steven C. Cramer, Lawrence R. Wechsler, Jaroslaw Aronowski, Johannes Boltze, Cesar V. Borlongan +26 more
2013· review· en· Stroke· Medicine
machine prediction:candidate · noneconsensus · none
152
citations
fundno affno abstractunlabeled
Iron oxide amended biosand filters for virus removal
Ian Bradley, Anthony P. Straub, Peter Maraccini, Sheila Markazi, Thanh H. Nguyen
2011· article· en· Water Research· Nursing
machine prediction:candidate · noneconsensus · none
152
citations
fundno affno abstractunlabeled
Quantitative analysis of mitochondrial morphology and membrane potential in living cells using high-content imaging, machine learning, and morphological binning
Anthony Leonard, Robert B. Cameron, Jaime L. Speiser, Bethany J. Wolf, Yuri K. Peterson, Rick G. Schnellmann +2 more
2014· article· en· Biochimica et Biophysica Acta (BBA) - Molecular Cell Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
152
citations
fundno affunlabeled
Positive geometries and canonical forms
Nima Arkani–Hamed
2023· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Mathematics
machine prediction:candidate · noneconsensus · none
152
citations
fundno affunlabeled
Social learning through prediction error in the brain
Jessica A. Joiner, Matthew Piva, Courtney Turrin, Steve W. C. Chang
2017· article· en· npj Science of Learning· Neuroscience
machine prediction:candidate · noneconsensus · none
152
citations
fundno affunlabeled
Emergency Europe
Jonathan White
2013· article· en· Political Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
152
citations
fundno affunlabeled
Evaluation of Aspergillus PCR Protocols for Testing Serum Specimens
P. Lewis White, Carlo Mengoli, Stéphane Bretagne, Manuel Cuenca‐Estrella, Niklas Finnström, Lena Klingspor +5 more
2011· article· en· Journal of Clinical Microbiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
152
citations

How this was built: Screen · Findings · About