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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 196,966 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.

196,966 results · 2 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.
196,966 works in the cohort · of 4,299,418page 70 of 3,940

Labels cover 472 of 196,966 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 196,966 of 196,966 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.

fundno affunlabeled
PKR: A Kinase to Remember
Shunit Gal-Ben-Ari, Iliana Barrera, Marcelo Ehrlich, Kobi Rosenblum
2019· review· en· Frontiers in Molecular Neuroscience· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
260
citations
fundno affno abstractunlabeled
Adaptive game AI with dynamic scripting
Pieter Spronck, Marc Ponsen, I.G. Sprinkhuizen-Kuyper, Eric Postma
2006· article· en· Machine Learning· Computer Science
machine prediction:candidate · noneconsensus · none
260
citations
fundno affunlabeled
Inflammation activation and resolution in human tendon disease
Stephanie G. Dakin, Fernando O. Martínez, Clarence Yapp, Graham Wells, Udo Oppermann, Benjamin Dean +5 more
2015· article· en· Science Translational Medicine· Medicine
machine prediction:candidate · noneconsensus · none
259
citations
fundno affunlabeled
Red giant masses and ages derived from carbon and nitrogen abundances
Marie Martig, M. Fouesneau, Hans‐Walter Rix, Melissa Ness, Szabolcs Mészáros, D. A. García–Hernández +4 more
2016· article· en· Monthly Notices of the Royal Astronomical Society· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
259
citations
fundno affunlabeled
Limits in the detection of m6A changes using MeRIP/m6A-seq
Alexa B. R. McIntyre, Nandan S. Gokhale, Leandro Cerchietti, Samie R. Jaffrey, Stacy M. Horner, Christopher E. Mason
2020· article· en· Scientific Reports· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
259
citations
fundno affno abstractunlabeled
Material Selection for Accident Tolerant Fuel Cladding
Bruce A. Pint, Kurt A. Terrani, Yukinori Yamamoto, Lance L. Snead
2015· article· en· Metallurgical and Materials Transactions E· Materials Science
machine prediction:candidate · noneconsensus · none
259
citations
fundno affunlabeled
Genome-wide association study of Alzheimer's disease
M. Ilyas Kamboh, F. Yesim Demirci, X. Wang, Ryan L. Minster, Minerva M. Carrasquillo, V. Shane Pankratz +15 more
2012· review· en· Translational Psychiatry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
258
citations
fundno affunlabeled
Toward a Fully Resolved Fungal Tree of Life
Timothy Y. James, Jason Stajich, Chris Todd Hittinger, Antonis Rokas
2020· review· en· Annual Review of Microbiology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
258
citations

How this was built: Screen · Findings · About