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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 852 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
EEG in Creutzfeldt–Jakob disease
Heinz Gregor Wieser, Kaspar Schindler, Dominik Zumsteg
2006· review· en· Clinical Neurophysiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
301
citations
venueaboutno affunlabeled
Microlearning in Health Professions Education: Scoping Review
Jennie C. De Gagné, Hyeyoung K. Park, Katherine Hall, Amanda Woodward, Sandra S. Yamane, Sang Suk Kim
2019· article· en· JMIR Medical Education· Social Sciences
machine prediction:candidate · noneconsensus · none
301
citations
affno abstractunlabeled
Review of Macrolides and Ketolides
George G. Zhanel, Maria Dueck, Daryl J. Hoban, Lavern M. Vercaigne, John M. Embil, Alfred S. Gin +1 more
2001· review· en· Drugs· Medicine
machine prediction:candidate · noneconsensus · none
301
citations
affno abstractunlabeled
Frailty and sarcopenia: definitions and outcome parameters
Cyrus Cooper, W. Dere, William J. Evans, J. A. Kanis, René Rizzoli, Avan Aihie Sayer +9 more
2012· review· en· Osteoporosis International· Medicine
machine prediction:candidate · noneconsensus · none
301
citations
affno abstractunlabeled
Plasticity of innate lymphoid cell subsets
Suzanne M. Bal, Korneliusz Golebski, Hergen Spits
2020· review· en· Nature reviews. Immunology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
301
citations
afffundvenueno abstractunlabeled
Dementia
Silvia Duong, Tejal Patel, Feng Chang
2017· article· fr· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
301
citations
afffundunlabeled
GLP-1 Receptor Expression Within the Human Heart
Laurie L. Baggio, Bernardo Yusta, Erin E. Mulvihill, Xiemin Cao, Catherine Streutker, Jagdish Butany +3 more
2018· article· en· Endocrinology· Medicine
machine prediction:candidate · noneconsensus · none
301
citations
affaboutunlabeled
Forecast verification: current status and future directions
Barbara Casati, Laurence J. Wilson, David B. Stephenson, Pertti Nurmi, Anna Ghelli, Matthew Pocernich +4 more
2008· article· en· Meteorological Applications· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
301
citations

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