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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 842 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.

afffundno abstractunlabeled
Mitochondrial dysfunction in aging
Ying Guo, Teng Guan, Kashfia Shafiq, Qiang Yu, Xin Jiao, Donghui Na +3 more
2023· review· en· Ageing Research Reviews· Medicine
machine prediction:candidate · noneconsensus · none
304
citations
affunlabeled
Structure of Shiga Toxin Type 2 (Stx2) from Escherichia coli O157:H7
M.E. Fraser, M. Fujinaga, M.M. Cherney, Angela R. Melton‐Celsa, E M Twiddy, Alison D. O’Brien +1 more
2004· article· en· Journal of Biological Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
304
citations
affunlabeled
Cognitive impairment in major depressive disorder
Zihang Pan, Caroline Park, Elisa Brietzke, Hannah Zuckerman, Carola Rong, Rodrigo B. Mansur +4 more
2018· review· en· CNS Spectrums· Neuroscience
machine prediction:candidate · noneconsensus · none
304
citations
affunlabeled
Bayesian network-based trust model
Y. Wang, Julita Vassileva
2004· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
304
citations
afffundunlabeled
New stellar constraints on dark photons
Haipeng An, Maxim Pospelov, Josef Pradler
2013· article· en· Physics Letters B· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
303
citations
affno abstractunlabeled
Bio-oil valorization: A review
Kathlene Jacobson, Kalpana C. Maheria, Ajay K. Dalai
2013· review· en· Renewable and Sustainable Energy Reviews· Engineering
machine prediction:candidate · noneconsensus · none
303
citations
affaboutunlabeled
THE LANGUAGE CONTACT PROFILE
Barbara F. Freed, Dan P. Dewey, Norman Segalowitz, Randall Halter
2004· article· en· Studies in Second Language Acquisition· Social Sciences
machine prediction:candidate · noneconsensus · none
303
citations
affno abstractunlabeled
Evidence-based investigations and treatments of recurrent pregnancy loss
Ole Bjarne Christiansen, Anne‐Marie Nybo Andersen, Ernesto Bosch, Salim Daya, Peter J. Delves, Thomas Vauvert F. Hviid +4 more
2005· review· en· Fertility and Sterility· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
303
citations
afffundunlabeled
Translational Control in Cancer
Nathaniel Robichaud, Nahum Sonenberg, Davide Ruggero, Robert J. Schneider
2018· review· en· Cold Spring Harbor Perspectives in Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
303
citations

How this was built: Screen · Findings · About