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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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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 2,114 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
Gender and power: Nurses and doctors in Canada
Barbara Zelek, Susan P. Phillips
2003· article· en· International Journal for Equity in Health· Social Sciences
machine prediction:candidate · noneconsensus · none
164
citations
fundno affno abstractunlabeled
Impact of COVID-19 on cancer care in India: a cohort study
Priya Ranganathan, Manju Sengar, Girish Chinnaswamy, Gaurav Agrawal, Rajkumar Arumugham, Rajiv Bhatt +38 more
2021· article· en· The Lancet Oncology· Medicine
machine prediction:candidate · noneconsensus · none
164
citations
afffundunlabeled
The state of food systems worldwide in the countdown to 2030
Kate Schneider, Jessica Fanzo, Lawrence Haddad, Mario Herrero, José Rosero Moncayo, Anna Herforth +51 more
2023· article· en· Nature Food· Environmental Science
machine prediction:candidate · noneconsensus · none
164
citations
affno abstractunlabeled
MRI of the fetal gastrointestinal tract
M. Saguintaah, A. Couture, C. Veyrac, Catherine Baud, Marie‐Pierre Quéré
2002· article· en· Pediatric Radiology· Medicine
machine prediction:candidate · noneconsensus · none
164
citations
affunlabeled
A climate policy pathway for near- and long-term benefits
Drew Shindell, Nathan Borgford‐Parnell, Michael Bräuer, Andy Haines, Johan Kuylenstierna, S. Leonard +4 more
2017· article· en· Science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
164
citations

How this was built: Screen · Findings · About