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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 326 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
Compensatory Control
Aaron C. Kay, Jennifer Whitson, Danielle Gaucher, Adam D. Galinsky
2009· article· en· Current Directions in Psychological Science· Psychology
machine prediction:candidate · noneconsensus · none
559
citations
affunlabeled
DNA Barcoding of Marine Metazoa
Ann Bucklin, Dirk Steinke, Leocadio Blanco‐Bercial
2010· review· en· Annual Review of Marine Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
559
citations
afffundaboutunlabeled
Age of Transfused Blood in Critically Ill Adults
Jacques Lacroix, Paul C. Hébert, Dean Fergusson, Alan Tinmouth, John C. Marshall, Lucy Clayton +14 more
2015· article· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
559
citations
affunlabeled
Adjuvant Chemotherapy in Older Women with Early-Stage Breast Cancer
Hyman B. Muss, Donald A. Berry, Constance Cirrincione, Maria Theodoulou, Ann M. Mauer, Alice B. Kornblith +18 more
2009· article· en· New England Journal of Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
559
citations
affunlabeled
Global dissemination of a multidrug resistant <i>Escherichia coli</i> clone
Nicola K. Petty, Nouri L. Ben Zakour, Mitchell Stanton‐Cook, Elizabeth Skippington, Makrina Totsika, Brian M. Forde +14 more
2014· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
559
citations
afffundunlabeled
How many steps/day are enough? for children and adolescents
Catrine Tudor‐Locke, Cora L. Craig, Michael W. Beets, Suzanne Belton, Greet Cardon, Scott Duncan +8 more
2011· review· en· International Journal of Behavioral Nutrition and Physical Activity· Medicine
machine prediction:candidate · noneconsensus · none
559
citations
affno abstractunlabeled
Bioorthogonal chemistry
Samuel L. Scinto, Didier A. Bilodeau, Robert Hincapie, Wankyu Lee, Sean S. Nguyen, Minghao Xu +8 more
2021· article· nl· Nature Reviews Methods Primers· Chemistry
machine prediction:candidate · noneconsensus · none
559
citations
affunlabeled
Alloy Design for Lithium-Ion Battery Anodes
M. N. Obrovac, Leif Højslet Christensen, Dinh Ba Le, J. R. Dahn
2007· article· en· Journal of The Electrochemical Society· Engineering
machine prediction:candidate · noneconsensus · none
558
citations
affno abstractunlabeled
An Introduction to Heavy-Tailed and Subexponential Distributions
Sergey Foss, Dmitry Korshunov, Stan Zachary
2013· book· en· Springer series in operations research/Springer series in operations research and financial engineering· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
558
citations
affno abstractunlabeled
Why constrain your mutual fund manager?
Andrés Almazán, Keith C. Brown, Murray Carlson, David A. Chapman
2004· article· en· Journal of Financial Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
558
citations
affno abstractunlabeled
Insight in schizophrenia: a meta-analysis
Alisa R. Mintz, Keith S. Dobson, David M. Romney
2003· review· en· Schizophrenia Research· Medicine
machine prediction:candidate · noneconsensus · none
558
citations
afffundno abstractunlabeled
Prenatal stress and brain development
Arnaud Charil, David P. Laplante, Cathy Vaillancourt, Suzanne King
2010· review· en· Brain Research Reviews· Medicine
machine prediction:candidate · noneconsensus · none
558
citations
affno abstractunlabeled
<i>mHealth Consumer Apps</i> : The Case for User-Centered Design
Tara McCurdie, Svetlena Taneva, Mark Casselman, Melanie Yeung, Cassie McDaniel, Wayne Ho +1 more
2012· article· en· Biomedical Instrumentation & Technology· Health Professions
machine prediction:candidate · noneconsensus · none
558
citations
affunlabeled
IgA Nephropathy
Jennifer C. Rodrigues, Mark Haas, Heather N. Reich
2017· review· en· Clinical Journal of the American Society of Nephrology· Medicine
machine prediction:candidate · noneconsensus · none
558
citations

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