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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 2,662 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
Evaluation of the potential in vivo genotoxicity of quercetin
Dietmar Utesch, K. Feige, Johannes Dasenbrock, Thomas H. Broschard, Melody Harwood, B. Danielewska-Nikiel +1 more
2008· article· en· Mutation Research/Genetic Toxicology and Environmental Mutagenesis· Medicine
machine prediction:candidate · noneconsensus · none
139
citations
fundno affunlabeled
The impact of abiotic factors on cellulose synthesis
Ting Wang, Heather E. McFarlane, Staffan Persson
2015· review· en· Journal of Experimental Botany· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
139
citations
affno abstractunlabeled
Chapter 4 CD8+ T Cells in Type 1 Diabetes
Sue Tsai, Afshin Shameli, Pere Santamaría
2008· review· en· Advances in immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
139
citations
fundno affunlabeled
Einstein Equations from Varying Complexity
Bartłomiej Czech
2018· article· en· Physical Review Letters· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
139
citations
affaboutunlabeled
Conflicting Messages
Lorelei Lingard, Meredith Vanstone, M. J. Durrant, Bonnie Fleming‐Carroll, Mandy Lowe, Judy Rashotte +2 more
2012· article· en· Academic Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
139
citations
afffundunlabeled
Signs of analyticity in single-field inflation
Daniel Baumann, Daniel Green, Hayden Lee, Rafael A. Porto
2016· article· en· Physical review. D/Physical review. D.· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
139
citations
affno abstractunlabeled
Children and Disasters
Lori Peek, David M. Abramson, Robin S. Cox, Alice Fothergill, Jennifer Tobin-Gurley
2017· book-chapter· en· Handbooks of sociology and social research· Psychology
machine prediction:candidate · noneconsensus · none
139
citations

How this was built: Screen · Findings · About