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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 · 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 258 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.

afffundno abstractunlabeled
Ionic liquids for CO2 capture—Development and progress
Muhammad Hasib‐ur‐Rahman, Mohamed Siaj, Faı̈çal Larachi
2010· article· en· Chemical Engineering and Processing - Process Intensification· Chemical Engineering
machine prediction:candidate · noneconsensus · none
644
citations
afffundno abstractunlabeled
Anoikis resistance and tumor metastasis
Craig D. Simpson, Kika Anyiwe, Aaron D. Schimmer
2008· review· en· Cancer Letters· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
644
citations
affno abstractunlabeled
Comparative Review of the Carbapenems
George G. Zhanel, Ryan Wiebe, Leanne Dilay, Kristjan Thomson, Ethan Rubinstein, Daryl J. Hoban +2 more
2007· review· en· Drugs· Medicine
machine prediction:candidate · noneconsensus · none
644
citations
afffundaboutunlabeled
‘Choosing Wisely’: a growing international campaign
Wendy Levinson, Marjon Kallewaard, R. Sacha Bhatia, Daniel Wolfson, Sam Shortt, Eve A. Kerr
2014· review· en· BMJ Quality & Safety· Health Professions
machine prediction:candidate · noneconsensus · none
644
citations
affunlabeled
HDR-VDP-2
Rafał Mantiuk, Kil Joong Kim, Allan G. Rempel, Wolfgang Heidrich
2011· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
644
citations
fundno affunlabeled
Navigating the complexity of ecological stability
Ian Donohue, Helmut Hillebrand, José M. Montoya, Owen L. Petchey, Stuart L. Pimm, Mike S. Fowler +7 more
2016· review· en· Ecology Letters· Environmental Science
machine prediction:candidate · noneconsensus · none
644
citations
fundno affno abstractunlabeled
ICOS is critical for CD40-mediated antibody class switching
Alexander J. McAdam, Rebecca J. Greenwald, Michele A. Levin, Tatyana Chernova, Nelly Malenkovich, Vincent Ling +2 more
2001· article· en· Nature· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
644
citations
affno abstractunlabeled
Rapid worldwide growth of glacial lakes since 1990
Dan H. Shugar, Aaron Burr, Umesh K. Haritashya, Jeffrey S. Kargel, C. Scott Watson, Maureen C. Kennedy +4 more
2020· article· en· Nature Climate Change· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
643
citations
afffundunlabeled
Type III Secretion Systems and Disease
Bryan Coburn, Inna Sekirov, B. Brett Finlay
2007· review· en· Clinical Microbiology Reviews· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
643
citations
affunlabeled
Upconverting nanoparticles: assessing the toxicity
Anna Gnach, Tomasz Lipiński, Artur Bednarkiewicz, Jacek Rybka, John A. Capobianco
2014· review· en· Chemical Society Reviews· Materials Science
machine prediction:candidate · noneconsensus · none
643
citations

How this was built: Screen · Findings · About