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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 2,263 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
TRPMs and neuronal cell death
Michelle Aarts, Michael Tymianski
2005· review· en· Pflügers Archiv - European Journal of Physiology· Nursing
machine prediction:candidate · noneconsensus · none
156
citations
affno abstractunlabeled
Ultrasound of the knee
Lawrence Friedman, Karen Finlay, Erik Jurriaans
2001· review· en· Skeletal Radiology· Medicine
machine prediction:candidate · noneconsensus · none
156
citations
affno abstractunlabeled
Impact of COVID-19 on nursing time in intensive care units in Belgium
Arnaud Bruyneel, Maria Cecília Bueno Jayme Gallani, Jérôme Tack, Alain D’hondt, Sebastien Canipel, Stéphane Franck +1 more
2020· article· en· Intensive and Critical Care Nursing· Medicine
machine prediction:candidate · noneconsensus · none
156
citations
affno abstractunlabeled
Benefits and safety of dietary protein for bone health—an expert consensus paper endorsed by the European Society for Clinical and Economical Aspects of Osteopororosis, Osteoarthritis, and Musculoskeletal Diseases and by the International Osteoporosis Foundation
René Rizzoli, Emmanuel Biver, J.‐P. Bonjour, Véronique Coxam, David Goltzman, J. A. Kanis +6 more
2018· review· en· Osteoporosis International· Medicine
machine prediction:candidate · noneconsensus · none
156
citations
affno abstractunlabeled
Long-term eruptive activity at a submarine arc volcano
R. W. Embley, William W. Chadwick, Edward T. Baker, D. A. Butterfield, Joseph A. Resing, Cornel E.J. de Ronde +11 more
2006· article· en· Nature· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
156
citations

How this was built: Screen · Findings · About