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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 587 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
Transradial Approach for Coronary Angiography and Interventions
Olivier F. Bertrand, Sunil V. Rao, Samir Pancholy, Sanjit S. Jolly, Josep Rodés‐Cabau, Éric Larose +3 more
2010· article· en· JACC: Cardiovascular Interventions· Medicine
machine prediction:candidate · noneconsensus · none
384
citations
fundno affno abstractunlabeled
Biased chromatin signatures around polyadenylation sites and exons
Cydney Nielsen, Richard A. Padgett, Noah Spies, Christopher B. Burge
2009· article· en· DSpace@MIT (Massachusetts Institute of Technology)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
384
citations
affunlabeled
Phoenics: A Bayesian Optimizer for Chemistry
Florian Häse, Loı̈c M. Roch, Christoph Kreisbeck, Alán Aspuru‐Guzik
2018· article· en· ACS Central Science· Materials Science
machine prediction:candidate · noneconsensus · none
384
citations
afffundunlabeled
Bile Acids and Dysbiosis in Non-Alcoholic Fatty Liver Disease
Marialena Mouzaki, Alice Y. Wang, Robert Bandsma, Elena M. Comelli, Bianca M. Arendt, Ling Zhang +3 more
2016· article· en· PLoS ONE· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
384
citations
affunlabeled
Seasonality of Infectious Diseases
David N. Fisman
2007· review· en· Annual Review of Public Health· Mathematics
machine prediction:candidate · noneconsensus · none
384
citations
afffundunlabeled
Arginine: Its p<i>K</i><sub>a</sub> value revisited
Carolyn A. Fitch, Gerald Platzer, Mark Okon, Bertrand García‐Moreno E., Lawrence P. McIntosh
2015· article· en· Protein Science· Chemistry
machine prediction:candidate · noneconsensus · none
384
citations

How this was built: Screen · Findings · About