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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 818 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.

310
citations
affunlabeled
Practice Guidelines for Postanesthetic Care
Jeffrey L. Apfelbaum, Jeffrey H. Silverstein, Frances Chung, Richard T. Connis, Sean E. Hunt, David G. Nickinovich +3 more
2013· article· en· Anesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
310
citations
affunlabeled
The CALIFA survey across the Hubble sequence
R. M. González Delgado, R. García-Benito, E. Pérez, R. Cid Fernandes, A. L. de Amorim, C. Cortijo-Ferrero +27 more
2015· article· en· Astronomy and Astrophysics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
310
citations
afffundunlabeled
Forecasting air quality time series using deep learning
Brian S. Freeman, Graham W. Taylor, Bahram Gharabaghi, Jesse Van Griensven Thé
2018· article· en· Journal of the Air & Waste Management Association· Environmental Science
machine prediction:candidate · noneconsensus · none
310
citations
affunlabeled
Max-Max Relay Selection for Relays with Buffers
Aïssa Ikhlef, Diomidis S. Michalopoulos, Robert Schober
2012· article· en· IEEE Transactions on Wireless Communications· Computer Science
machine prediction:candidate · noneconsensus · none
310
citations
affunlabeled
The promises and perils of mining git
Christian Bird, Peter C. Rigby, Earl T. Barr, David J. Hamilton, Daniel M. Germán, Prémkumar Dévanbu
2009· article· en· Computer Science
machine prediction:candidate · metaresearchconsensus · none
310
citations
affunlabeled
2013 Update of the 2011 American College of Rheumatology Recommendations for the Treatment of Juvenile Idiopathic Arthritis: Recommendations for the Medical Therapy of Children With Systemic Juvenile Idiopathic Arthritis and Tuberculosis Screening Among Children Receiving Biologic Medications
Sarah Ringold, Pamela F. Weiss, Timothy Beukelman, Esi Morgan DeWitt, Norman T. Ilowite, Yukiko Kimura +5 more
2013· article· en· Arthritis Care & Research· Medicine
machine prediction:candidate · noneconsensus · none
309
citations
fundno affno abstractunlabeled
The price of residential land in large US cities
Morris A. Davis, Michael G. Palumbo
2007· article· en· Journal of Urban Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
309
citations
affno abstractunlabeled
The genomic landscape of juvenile myelomonocytic leukemia
Elliot Stieglitz, Amaro Taylor‐Weiner, Tiffany Chang, Laura C Gelston, Yong‐Dong Wang, Tali Mazor +41 more
2015· article· en· Nature Genetics· Medicine
machine prediction:candidate · noneconsensus · none
309
citations
affno abstractunlabeled
Katayama syndrome
Allen G. Ross, David Vickers, G R Olds, Syed Mahmood Shah, Donald P. McManus
2007· review· en· The Lancet Infectious Diseases· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
309
citations

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