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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 694 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.

afffundunlabeled
Quantum Boltzmann Machine
2018· article· en· Physical Review X· Computer Science
machine prediction:candidate · noneconsensus · none
344
citations
afffundno abstractunlabeled
Glycosylation, galectins and cellular signaling
Cécile Boscher, James W. Dennis, Ivan R. Nabi
2011· review· en· Current Opinion in Cell Biology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
344
citations
affno abstractunlabeled
Angiogenesis—a new target for future therapy
Nilesh M. Pandya, Naranjan S. Dhalla, D.D. Santani
2006· review· en· Vascular Pharmacology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
344
citations
affno abstractunlabeled
Cancer distress screening
Linda E. Carlson, Barry D. Bultz
2003· review· en· Journal of Psychosomatic Research· Medicine
machine prediction:candidate · noneconsensus · none
344
citations
affunlabeled
The Three Gorges Dam: an ecological perspective
Jianguo Wu, Jianhui Huang, Xingguo Han, Xianming Gao, Fangliang He, Mingxi Jiang +3 more
2004· review· en· Frontiers in Ecology and the Environment· Environmental Science
machine prediction:candidate · noneconsensus · none
344
citations
affno abstractunlabeled
Medication-Related Falls in the Elderly
Allen Huang, Louise Mallet, Christian M. Rochefort, Tewodros Eguale, David L. Buckeridge, Robyn Tamblyn
2012· review· en· Drugs & Aging· Medicine
machine prediction:candidate · noneconsensus · none
344
citations
affno abstractunlabeled
Metabolic syndrome
Ian J. Neeland, Soo Lim, André Tchernof, Amalia Gastaldelli, Janani Rangaswami, Chiadi E. Ndumele +2 more
2024· review· en· Nature Reviews Disease Primers· Medicine
machine prediction:candidate · noneconsensus · none
344
citations
afffundunlabeled
Microbial Biofilms and Chronic Wounds
Amin Omar, John A. Wright, Gregory S. Schultz, Robert Burrell, Patricia L. Nadworny
2017· review· en· Microorganisms· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
344
citations

How this was built: Screen · Findings · About