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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.

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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 1,985 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
Changing physician behavior: what works?
Fargoi Mostofian, Cynthiya Ruban, Nicole Simunovic, Mohit Bhandari
2015· review· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
171
citations
affno abstractunlabeled
Atrial Functional Mitral Regurgitation
William A. Zoghbi, Robert A. Levine, Frank A. Flachskampf, Paul Grayburn, Linda D. Gillam, Jonathon Leipsic +3 more
2022· editorial· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
171
citations
afffundno abstractunlabeled
Understanding the Will to Live in Patients Nearing Death
Harvey Max Chochinov, Thomas F. Hack, Thomas Hassard, Linda J. Kristjanson, Susan McClement, Mike Harlos
2005· article· en· Psychosomatics· Medicine
machine prediction:candidate · noneconsensus · none
171
citations
affunlabeled
Temporal Lobe Epilepsy Semiology
R. D. G. Blair
2012· article· en· Epilepsy Research and Treatment· Medicine
machine prediction:candidate · noneconsensus · none
171
citations
afffundunlabeled
COVID-19 Data Hub
Emanuele Guidotti, David Ardia
2020· article· en· The Journal of Open Source Software· Mathematics
machine prediction:candidate · noneconsensus · none
171
citations
venueno affunlabeled
Assessment of engineering properties of Bangkok clay
Suksun Horpibulsuk, Satoru Shibuya, Kittitep Fuenkajorn, Wanchai Katkan
2007· article· en· Canadian Geotechnical Journal· Engineering
machine prediction:candidate · noneconsensus · none
171
citations
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