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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 1,435 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.

afffundno abstractunlabeled
Employee welfare and stock price crash risk
Hamdi Ben‐Nasr, Hatem Ghouma
2017· article· en· Journal of Corporate Finance· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
213
citations
affunlabeled
Drivers of national climate policy
Érick Lachapelle, Matthew Paterson
2013· article· en· Climate Policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
213
citations
affunlabeled
Targeting acetylcholinesterase to treat neurodegeneration
Ulrike Holzgrabe, Petra Kapková, Vildan Alptüzün, Josef Scheiber, Eva Kugelmann
2007· review· en· Expert Opinion on Therapeutic Targets· Medicine
machine prediction:candidate · noneconsensus · none
213
citations
affno abstractunlabeled
How to Run Turing Machines on Encrypted Data
Shafi Goldwasser, Yael Tauman Kalai, Raluca Ada Popa, Vinod Vaikuntanathan, Nickolai Zeldovich
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
213
citations
afffundunlabeled
Falls and Fall-Related Injuries in Older Dialysis Patients
Wendy L. Cook, George Tomlinson, Meghan G Donaldson, Samuel N. Markowitz, Gary Naglie, Boris Sobolev +1 more
2006· article· en· Clinical Journal of the American Society of Nephrology· Health Professions
machine prediction:candidate · noneconsensus · none
213
citations
affunlabeled
Chern-Simons number diffusion and hard thermal loops on the lattice
Dietrich Bödeker, Guy D. Moore, Kari Rummukainen
2000· article· en· Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
213
citations
affunlabeled
Psychological Distress and Cancer Survival
Kirk Warren Brown, Adrian R. Levy, Zeev Rosberger, Linda Edgar
2003· article· en· Psychosomatic Medicine· Medicine
machine prediction:candidate · noneconsensus · none
213
citations

How this was built: Screen · Findings · About