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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 · 1 filter 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 194 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.

affaboutunlabeled
THE McGILL MAGNETAR CATALOG
2014· article· en· The Astrophysical Journal Supplement Series· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
766
citations
afffundunlabeled
Global patterns of kelp forest change over the past half-century
Kira A. Krumhansl, Daniel K. Okamoto, Andrew Rassweiler, Márk Novák, John J. Bolton, Kyle C. Cavanaugh +31 more
2016· article· en· Proceedings of the National Academy of Sciences· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
765
citations
affno abstractunlabeled
Taking climate model evaluation to the next level
Veronika Eyring, Peter M. Cox, Gregory M. Flato, Peter J. Gleckler, Gab Abramowitz, Peter Caldwell +23 more
2019· article· en· Nature Climate Change· Environmental Science
machine prediction:candidate · noneconsensus · none
765
citations
affunlabeled
Coronary-Artery Stents
Patrick W. Serruys, Michael J.B. Kutryk, Andrew T.L. Ong
2006· review· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
764
citations
affno abstractunlabeled
ECFS best practice guidelines: the 2018 revision
Carlo Castellani, Alistair Duff, Scott C. Bell, Harry Heijerman, À. Munck, Félix Ratjen +16 more
2018· review· en· Journal of Cystic Fibrosis· Medicine
machine prediction:candidate · noneconsensus · none
764
citations
affunlabeled
Evinacumab for Homozygous Familial Hypercholesterolemia
Frederick J. Raal, Robert S. Rosenson, Laurens F. Reeskamp, G. Kees Hovingh, John J.P. Kastelein, Paolo Rubba +10 more
2020· article· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
764
citations
affno abstractunlabeled
Outstanding Challenges in the Transferability of Ecological Models
Katherine L. Yates, Phil J. Bouchet, M. Julian Caley, Kerrie Mengersen, Christophe F. Randin, Stephen Parnell +44 more
2018· review· en· Trends in Ecology & Evolution· Environmental Science
machine prediction:candidate · noneconsensus · none
764
citations
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