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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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20002025
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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 1,798 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
Nutritional Support for Individuals With COPD
Ivone Ferreira, Dina Brooks, Yves Lacasse, Roger Goldstein
2000· review· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
183
citations
fundno affunlabeled
Fungi, fungicide discovery and global food security
Gero Steinberg, Sarah J. Gurr
2020· article· en· Fungal Genetics and Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
183
citations
affunlabeled
3D printing in medicine of congenital heart diseases
Shi‐Joon Yoo, Omar Thabit, Eul Kyung Kim, Haruki Ide, Deane Yim, Anreea Dragulescu +3 more
2016· review· en· 3D Printing in Medicine· Engineering
machine prediction:candidate · noneconsensus · none
183
citations
affno abstractunlabeled
Microbes in beach sands: integrating environment, ecology and public health
Richard L. Whitman, Valerie J. Harwood, Thomas A. Edge, Meredith B. Nevers, Muruleedhara N. Byappanahalli, K. Vijayavel +13 more
2014· article· en· Reviews in Environmental Science and Bio/Technology· Environmental Science
machine prediction:candidate · noneconsensus · none
183
citations
affaboutunlabeled
Incident Cardiovascular Disease Among Adults With Cancer
D. Ian Paterson, Natasha Wiebe, Winson Y. Cheung, John R. Mackey, Edith Pituskin, Tony Reiman +1 more
2022· article· en· JACC CardioOncology· Medicine
machine prediction:candidate · noneconsensus · none
183
citations
affunlabeled
The dihydro-β-agarofuran sesquiterpenoids
Jin‐Ming Gao, Wenjun Wu, Jiwen Zhang, Yasuo Konishi
2007· review· en· Natural Product Reports· Medicine
machine prediction:candidate · noneconsensus · none
183
citations
afffundno abstractunlabeled
Neurobiology of fish olfaction: a review
Frédéric Laberge, Toshiaki HARA
2001· review· en· Brain Research Reviews· Neuroscience
machine prediction:candidate · noneconsensus · none
183
citations
affno abstractunlabeled
Cryoprecipitate: The Current State of Knowledge
Jeannie Callum, Keyvan Karkouti, Yulia Lin
2009· review· en· Transfusion Medicine Reviews· Medicine
machine prediction:candidate · noneconsensus · none
183
citations
afffundunlabeled
Loss of Gata5 in mice leads to bicuspid aortic valve
Brigitte Laforest, Grégor Andelfinger, Mona Nemer
2011· article· en· Journal of Clinical Investigation· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
183
citations
affno abstractunlabeled
To the point: medical education, technology, and the millennial learner
Laura Hopkins, Brittany Star Hampton, Jodi Abbott, Samantha D. Buery-Joyner, LaTasha B. Craig, John L. Dalrymple +6 more
2017· review· en· American Journal of Obstetrics and Gynecology· Medicine
machine prediction:candidate · noneconsensus · none
183
citations

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