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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 · 0 filters active
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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 363 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.

affno abstractunlabeled
Lactoferricin
Jessica L. Gifford, Howard N. Hunter, Hans J. Vogel
2005· review· en· Cellular and Molecular Life Sciences· Nursing
machine prediction:candidate · noneconsensus · none
523
citations
fundno affunlabeled
2021 ESC/EACTS Guidelines for the management of valvular heart disease: Developed by the Task Force for the management of valvular heart disease of the European Society of Cardiology (ESC) and the European Association for Cardio-Thoracic Surgery (EACTS)
Alec Vahanian, Friedhelm Beyersdorf, Fabien Praz, Milan Milojevic, Stephan Baldus, Johann Bauersachs +14 more
2022· article· en· Revista Española de Cardiología (English Edition)· Medicine
machine prediction:candidate · noneconsensus · none
522
citations
fundno affunlabeled
The VLT-FLAMES Tarantula Survey
H. Sana, A. de Koter, S. E. de Mink, P. R. Dunstall, C. J. Evans, V. Hénault-Brunet +11 more
2012· article· en· Astronomy and Astrophysics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
522
citations
afffundaboutunlabeled
The Burden and Determinants of Neck Pain in Workers
Pierre Côté, Gabrielle van der Velde, J. David Cassidy, Linda Carroll, Sheilah Hogg‐Johnson, Lena W. Holm +6 more
2008· review· en· Spine· Medicine
machine prediction:candidate · noneconsensus · none
522
citations
affunlabeled
Evidence-Based Assessment
John Hunsley, Eric J. Mash
2007· review· en· Annual Review of Clinical Psychology· Psychology
machine prediction:candidate · noneconsensus · none
522
citations
affunlabeled
Parenting Stress in Families of Children With ADHD
Jennifer Theule, Judith Wiener, Rosemary Tannock, Jennifer M. Jenkins
2010· article· en· Journal of Emotional and Behavioral Disorders· Medicine
machine prediction:candidate · noneconsensus · none
522
citations
affno abstractunlabeled
Degenerative cervical myelopathy — update and future directions
Jetan H. Badhiwala, Christopher S. Ahuja, Muhammad Ali Akbar, Christopher D. Witiw, Farshad Nassiri, Julio C. Furlan +3 more
2020· review· en· Nature Reviews Neurology· Medicine
machine prediction:candidate · noneconsensus · none
522
citations

How this was built: Screen · Findings · About