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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.

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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 1,238 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.

afffundno abstractunlabeled
Tri-level thinking: models of three-way decision
Yiyu Yao
2019· article· en· International Journal of Machine Learning and Cybernetics· Computer Science
machine prediction:candidate · noneconsensus · none
235
citations
affno abstractunlabeled
Causes of death and rehospitalization in patients hospitalized with worsening heart failure and reduced left ventricular ejection fraction: Results from efficacy of vasopressin antagonism in heart failure outcome study with tolvaptan (EVEREST) program
Christopher M. O’Connor, Alan B. Miller, John E. Blair, Marvin A. Konstam, Patricia Wedge, Maria Cecilia Bahit +12 more
2010· article· en· American Heart Journal· Medicine
machine prediction:candidate · noneconsensus · none
235
citations
affunlabeled
Osmoregulation and Excretion
Erik Hviid Larsen, Lewis E. Deaton, Horst Onken, Michael J. O’Donnell, Martin Grosell, William H. Dantzler +1 more
2014· review· en· Comprehensive physiology· Environmental Science
machine prediction:candidate · noneconsensus · none
235
citations
fundno affno abstractunlabeled
Metabolic engineering in the host Yarrowia lipolytica
Ahmad Mohammad Abdel‐Mawgoud, Kelly A. Markham, Claire M. Palmer, Nian Liu, Gregory Stephanopoulos, Hal S. Alper
2018· review· en· Metabolic Engineering· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
235
citations
affunlabeled
Learning with Hierarchical-Deep Models
Ruslan Salakhutdinov, Joshua B. Tenenbaum, Antonio Torralba
2013· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
235
citations
affno abstractunlabeled
Treatment of Localised Renal Cell Carcinoma
Frank Becker, Jeffrey A. Cadeddu, Inderbir S. Gill, Günther Janetschek, Michael A.S. Jewett, M. Pilar Laguna +5 more
2011· review· en· European Urology· Medicine
machine prediction:candidate · noneconsensus · none
235
citations
affno abstractunlabeled
Low back pain across the life course
Kate M. Dunn, Lise Hestbæk, J. David Cassidy
2013· review· en· Best Practice & Research Clinical Rheumatology· Medicine
machine prediction:candidate · noneconsensus · none
235
citations
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