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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 1,691 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
VeriGen: A Large Language Model for Verilog Code Generation
Shailja Thakur, Baleegh Ahmad, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri +1 more
2024· article· en· ACM Transactions on Design Automation of Electronic Systems· Computer Science
machine prediction:candidate · noneconsensus · none
191
citations
afffundno abstractunlabeled
State-of-the-art evidence in the treatment of systemic sclerosis
Janet Pope, Christopher P. Denton, Sindhu R. Johnson, Andreu Fernández‐Codina, Marie Hudson, Tatiana Nevskaya
2023· review· en· Nature Reviews Rheumatology· Medicine
machine prediction:candidate · noneconsensus · none
191
citations
affunlabeled
Sustainable wastewater reuse for agriculture
Anastasis Christou, Vasiliki G. Beretsou, Iakovos C. Iakovides, Popi Karaolia, Costas Michael, Tarik Benmarhnia +10 more
2024· review· en· Nature Reviews Earth & Environment· Environmental Science
machine prediction:candidate · noneconsensus · none
191
citations
afffundunlabeled
Scientific and Human Errors in a Snow Model Intercomparison
Cécile B. Ménard, Richard Essery, Gerhard Krinner, Gabriele Arduini, Paul Bartlett, Aaron Boone +26 more
2020· article· en· Bulletin of the American Meteorological Society· Earth and Planetary Sciences
machine prediction:candidate · metaresearchconsensus · none
191
citations
aboutno affunlabeled
North American Carsharing
Susan Shaheen, Adam Cohen, Melissa S. Chung
2009· article· en· Transportation Research Record Journal of the Transportation Research Board· Engineering
machine prediction:candidate · noneconsensus · none
191
citations
venueno affunlabeled
The Logic of Deep Disagreements
Robert J. Fogelin
2005· article· en· Informal Logic· Computer Science
machine prediction:candidate · noneconsensus · none
191
citations
afffundunlabeled
Distinctive Roles of Furin and TMPRSS2 in SARS-CoV-2 Infectivity
Rachid Essalmani, Jaspreet Jain, Delia Susan‐Resiga, Ursula Andréo, Alexandra Evagelidis, Rabeb Mouna Derbali +12 more
2022· article· en· Journal of Virology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
191
citations
affunlabeled
On optimal multiple changepoint algorithms for large data
Robert Maidstone, Toby Dylan Hocking, Guillem Rigaill, Paul Fearnhead
2016· article· en· Statistics and Computing· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
191
citations

How this was built: Screen · Findings · About