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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 1,091 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
The binary protein-protein interaction landscape of Escherichia coli
Seesandra V. Rajagopala, Patricia Sikorski, Ashwani Kumar, Roberto Mosca, James Vlasblom, Roland Arnold +12 more
2014· article· en· Nature Biotechnology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
256
citations
affno abstractunlabeled
Flowability of moist pharmaceutical powders
Erica Emery, Jasmine Oliver, Todd Pugsley, Jitendra Sharma, Joe Zhou
2008· article· en· Powder Technology· Engineering
machine prediction:candidate · noneconsensus · none
256
citations
affunlabeled
Causes and Mechanisms of Common Coccydynia
Jean-Yves Maigne, Levon Doursounian, Gilles Châtellier
2000· article· en· Spine· Medicine
machine prediction:candidate · noneconsensus · none
256
citations
affno abstractunlabeled
Economic evaluation of dialysis therapies
Scott Klarenbach, Marcello Tonelli, Betty Chui, Braden Manns
2014· review· en· Nature Reviews Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
256
citations
afffundunlabeled
The Premature Infant Pain Profile-Revised (PIPP-R)
Bonnie Stevens, Sharyn Gibbins, Janet Yamada, Kimberley Dionne, Grace Lee, Céleste Johnston +1 more
2013· article· en· Clinical Journal of Pain· Medicine
machine prediction:candidate · noneconsensus · none
256
citations
affunlabeled
Effects of Icosapent Ethyl on Total Ischemic Events
Deepak L. Bhatt, Philippe Gabríel Steg, Michael Miller, Eliot A. Brinton, Terry A. Jacobson, Steven Ketchum +8 more
2019· article· en· Journal of the American College of Cardiology· Nursing
machine prediction:candidate · noneconsensus · none
256
citations
affvenueunlabeled
Virtual Reality Clinical Research: Promises and Challenges
Bernie Garrett, Tarnia Taverner, Diane Gromala, Gordon Tao, Elliott Cordingley, Crystal Sun
2018· article· en· JMIR Serious Games· Computer Science
machine prediction:candidate · metaresearchconsensus · none
256
citations
aboutno affno abstractunlabeled
Match running performance in elite Australian Rules Football
Aaron J. Coutts, John Quinn, Joel Hocking, Carlo Castagna, Ermanno Rampinini
2009· article· en· Journal of science and medicine in sport· Medicine
machine prediction:candidate · noneconsensus · none
256
citations

How this was built: Screen · Findings · About