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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 552 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
Thinking Critically About Photovoice
Linda Liebenberg
2018· article· en· International Journal of Qualitative Methods· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
400
citations
fundno affunlabeled
Seipin is required for converting nascent to mature lipid droplets
Huajin Wang, Michel Becuwe, Benjamin E. Housden, Chandramohan Chitraju, Ashley J Porras, Morven Graham +15 more
2016· article· en· eLife· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
400
citations
affno abstractunlabeled
Gambling disorder
Marc N. Potenza, Iris M. Balodis, Jeffrey L. Derevensky, Jon E. Grant, Nancy M. Petry, Antonio Verdejo‐García +1 more
2019· review· en· Nature Reviews Disease Primers· Psychology
machine prediction:candidate · noneconsensus · none
400
citations
affno abstractunlabeled
Digital Image Processing
D. Sundararajan
2017· book· en· Computer Science
machine prediction:candidate · noneconsensus · none
400
citations
affno abstractunlabeled
Making sense of counterurbanization
Clare Mitchell
2003· article· en· Journal of Rural Studies· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
399
citations
affno abstractunlabeled
Managing ICU surge during the COVID-19 crisis: rapid guidelines
Shadman Aziz, Yaseen M. Arabi, Waleed Alhazzani, Laura Evans, Giuseppe Citerio, Katherine Fischkoff +18 more
2020· review· en· Intensive Care Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
399
citations
affno abstractunlabeled
Dense magnetized plasma associated with a fast radio burst
Kiyoshi W. Masui, Hsiu-Hsien Lin, Jonathan Sievers, Tzu‐Ching Chang, Xuelei Chen, A. Ganguly +11 more
2015· article· en· Nature· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
399
citations
afffundunlabeled
Making the blastocyst: lessons from the mouse
Katie Cockburn, Janet Rossant
2010· review· en· Journal of Clinical Investigation· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
399
citations

How this was built: Screen · Findings · About