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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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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.
4,299,418 works in the cohort · of 4,299,418page 1,384 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.

affunlabeled
<i>NOTCH2</i> mutations in Alagille syndrome
Binita M. Kamath, Robert C. Bauer, Kathleen M. Loomes, Grace F. Chao, Jennifer Gerfen, Anne Hutchinson +11 more
2011· article· en· Journal of Medical Genetics· Medicine
machine prediction:candidate · noneconsensus · none
219
citations
afffundno abstractunlabeled
Null models in network neuroscience
František Váša, Bratislav Mišić
2022· review· en· Nature reviews. Neuroscience· Neuroscience
machine prediction:candidate · noneconsensus · none
219
citations
affno abstractunlabeled
A translational framework to DELIVER nanomedicines to the clinic
Paul Joyce, Christine Allen, Marı́a José Alonso, Marianne Ashford, Michelle S. Bradbury, Matthieu Germain +15 more
2024· review· en· Nature Nanotechnology· Materials Science
machine prediction:candidate · noneconsensus · none
219
citations
affunlabeled
CONSORT 2025 Statement
Sally Hopewell, An‐Wen Chan, Gary S. Collins, Asbjørn Hróbjartsson, David Moher, Kenneth F. Schulz +33 more
2025· letter· en· JAMA· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
219
citations
affunlabeled
Triglycerides and Heart Disease
Ira J. Goldberg, Robert H. Eckel, Ruth McPherson
2011· review· en· Arteriosclerosis Thrombosis and Vascular Biology· Medicine
machine prediction:candidate · noneconsensus · none
219
citations
afffundunlabeled
hiCUDA: High-Level GPGPU Programming
Tianyi David Han, Tarek S. Abdelrahman
2010· article· en· IEEE Transactions on Parallel and Distributed Systems· Computer Science
machine prediction:candidate · noneconsensus · none
219
citations
affno abstractunlabeled
The Power of Quantum Systems on a Line
Dorit Aharonov, Daniel Gottesman, Sandy Irani, Julia Kempe
2009· article· en· Communications in Mathematical Physics· Computer Science
machine prediction:candidate · noneconsensus · none
219
citations

How this was built: Screen · Findings · About