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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 1,102 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.

affno abstractunlabeled
Standard-of-care systemic therapy with or without stereotactic body radiotherapy in patients with oligoprogressive breast cancer or non-small-cell lung cancer (Consolidative Use of Radiotherapy to Block [CURB] oligoprogression): an open-label, randomised, controlled, phase 2 study
C. Jillian Tsai, Jonathan T. Yang, Narek Shaverdian, Juber Patel, Annemarie F. Shepherd, Juliana Eng +40 more
2023· article· en· The Lancet· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
255
citations
affvenueno abstractunlabeled
RETIRED: Advanced Reproductive Age and Fertility
Kimberly Liu, Allison Case, Anthony P. Cheung, Sony Sierra, Saleh AlAsiri, Belina Carranza‐Mamane +9 more
2011· article· en· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
255
citations
affno abstractunlabeled
Extreme mixing in nanoscale transition metal alloys
Yonggang Yao, Zhennan Huang, Lauren A. Hughes, Jinlong Gao, Tangyuan Li, David J. Morris +13 more
2021· article· en· Matter· Engineering
machine prediction:candidate · noneconsensus · none
255
citations
affno abstractunlabeled
Deep learning
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher Pal
2016· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
254
citations
affunlabeled
Circulating Adiponectin and Endometrial Cancer Risk
Luigino Dal Maso, Livia S. A. Augustin, Aspasia Karalis, Renato Talamini, Silvia Franceschi, Dimitrios Trichopoulos +2 more
2004· article· en· The Journal of Clinical Endocrinology & Metabolism· Medicine
machine prediction:candidate · noneconsensus · none
254
citations

How this was built: Screen · Findings · About