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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 348 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.

aboutno affunlabeled
Air Pollution and Dementia: A Systematic Review
Ruth Peters, Nicole Ee, Jean Peters, Andrew Booth, Ian Mudway, Kaarin J. Anstey
2019· review· en· Journal of Alzheimer s Disease· Environmental Science
machine prediction:candidate · noneconsensus · none
537
citations
affunlabeled
Aptamer-based biosensors for biomedical diagnostics
Wenhu Zhou, Po‐Jung Jimmy Huang, Jinsong Ding, Juewen Liu
2014· review· en· The Analyst· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
536
citations
affunlabeled
Microbes and Alzheimer’s Disease
Ruth F. Itzhaki, Richard Lathe, Brian J. Balin, Melvyn J. Ball, Elaine L. Bearer, Heiko Braak +27 more
2016· review· en· Journal of Alzheimer s Disease· Medicine
machine prediction:candidate · noneconsensus · none
536
citations
affno abstractunlabeled
Cortical excitation and chronic pain
Min Zhuo
2008· review· en· Trends in Neurosciences· Medicine
machine prediction:candidate · noneconsensus · none
536
citations
afffundno abstractunlabeled
Electrical stimulation systems for cardiac tissue engineering
Nina Tandon, Christopher Cannizzaro, Pen‐hsiu Grace Chao, Robert Maidhof, Anna Marsano, Hoi Ting Heidi Au +2 more
2009· article· en· Nature Protocols· Medicine
machine prediction:candidate · noneconsensus · none
536
citations
aboutno affunlabeled
Powder metallurgy of titanium – past, present, and future
Zhigang Zak Fang, James D. Paramore, Pei Sun, K.S. Ravi Chandran, Ying Zhang, Yang Xia +3 more
2017· article· en· International Materials Reviews· Materials Science
machine prediction:candidate · noneconsensus · none
536
citations
affunlabeled
Training of Working Memory Impacts Structural Connectivity
Hikaru Takeuchi, Atsushi Sekiguchi, Yasuyuki Taki, Satoru Yokoyama, Yukihito Yomogida, Nozomi Komuro +3 more
2010· article· en· Journal of Neuroscience· Medicine
machine prediction:candidate · noneconsensus · none
536
citations
affno abstractunlabeled
Glypicans
Jorge Filmus, Mariana Capurro, Jonathan P. Rast
2008· review· en· Genome Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
536
citations
affunlabeled
Screening for Atrial Fibrillation
Ben Freedman, A. John Camm, Hugh Calkins, Jeff S. Healey, Mårten Rosenqvist, Ji‐Guang Wang +110 more
2017· review· en· Circulation· Medicine
machine prediction:candidate · noneconsensus · none
536
citations

How this was built: Screen · Findings · About