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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 2,349 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.

affno abstractunlabeled
The profile of cardiac patients with renal artery stenosis
Christopher E. Buller, Jorge G Nogareda, Donald R. Ricci, Ognjenka Djurdjev, Kathryn Tinckam, Ian M. Penn +4 more
2004· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
152
citations
affno abstractunlabeled
Platelets and restenosis
Baskaran Chandrasekar, Jean‐François Tanguay
2000· review· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
152
citations
affaboutunlabeled
Impact of chronic conditions.
Susan Schultz, Jacek A. Kopec
2003· article· en· PubMed· Medicine
machine prediction:candidate · noneconsensus · none
152
citations
fundno affno abstractunlabeled
Quantitative analysis of mitochondrial morphology and membrane potential in living cells using high-content imaging, machine learning, and morphological binning
Anthony Leonard, Robert B. Cameron, Jaime L. Speiser, Bethany J. Wolf, Yuri K. Peterson, Rick G. Schnellmann +2 more
2014· article· en· Biochimica et Biophysica Acta (BBA) - Molecular Cell Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
152
citations
fundno affunlabeled
Positive geometries and canonical forms
Nima Arkani–Hamed
2023· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Mathematics
machine prediction:candidate · noneconsensus · none
152
citations
affno abstractunlabeled
Discrete nodal domain theorems
E. BrianDavies, GrahamM.L. Gladwell, Josef Leydold, Peter F. Stadler
2001· article· en· Linear Algebra and its Applications· Mathematics
machine prediction:candidate · noneconsensus · none
152
citations
afffundunlabeled
GSK-3β Controls Osteogenesis through Regulating Runx2 Activity
Fumitaka Kugimiya, Hiroshi Kawaguchi, Shinsuke Ohba, Naohiro Kawamura, Makoto Hirata, Hirotaka Chikuda +4 more
2007· article· en· PLoS ONE· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
152
citations
affunlabeled
Compromised Peacebuilding
Michael Barnett, Songying Fang, Christoph Zürcher
2014· article· en· International Studies Quarterly· Social Sciences
machine prediction:candidate · noneconsensus · none
152
citations

How this was built: Screen · Findings · About