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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 2,570 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.

afffundunlabeled
Superheating of ice crystals in antifreeze protein solutions
Yeliz Celik, Laurie A. Graham, Yee-Foong Mok, Maya Bar Dolev, Peter L. Davies, Ido Braslavsky
2010· article· en· Proceedings of the National Academy of Sciences· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
143
citations
affunlabeled
p21 <sup>Cip1</sup> restrains pituitary tumor growth
Vera Chesnokova, Svetlana Zonis, Kálmán Kovács, Anat Ben-Shlomo, Kolja Wawrowsky, Serguei Bannykh +1 more
2008· article· en· Proceedings of the National Academy of Sciences· Medicine
machine prediction:candidate · noneconsensus · none
143
citations
affunlabeled
Spatial and temporal ecology of Scots pine ectomycorrhizas
Brian J. Pickles, David R. Genney, Jacqueline M. Potts, Jack J. Lennon, Ian C. Anderson, Ian J. Alexander
2010· article· en· New Phytologist· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
143
citations
affunlabeled
Wisdom and Mental Health Across the Lifespan
Jeffrey Dean Webster, Gerben J. Westerhof, Ernst T. Bohlmeijer
2012· article· en· The Journals of Gerontology Series B· Psychology
machine prediction:candidate · noneconsensus · none
143
citations
affvenueno abstractunlabeled
Deep learning in ophthalmology: a review
Parampal S. Grewal, Faraz Oloumi, Uriel Rubin, Matthew Tennant
2018· review· en· Canadian Journal of Ophthalmology· Medicine
machine prediction:candidate · noneconsensus · none
143
citations
afffundunlabeled
What drives national adaptation? A global assessment
Lea Berrang‐Ford, James D. Ford, Alexandra Lesnikowski, Carolyn Poutiainen, Magda Concepción Morales Barrera, Jody Heymann
2014· article· en· Climatic Change· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
143
citations
affno abstractunlabeled
CRISPR germline engineering—the community speaks
Katrine Bosley, Michael Botchan, Annelien L. Bredenoord, Dana Carroll, R. Alta Charo, Emmanuelle Charpentier +20 more
2015· article· en· Nature Biotechnology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · stsconsensus · none
143
citations

How this was built: Screen · Findings · About