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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 196,966 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.

196,966 results · 2 filters 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.
196,966 works in the cohort · of 4,299,418page 194 of 3,940

Labels cover 472 of 196,966 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 196,966 of 196,966 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.

fundno affunlabeled
Solid implantable devices for sustained drug delivery
Elizabeth Magill, Sara Demartis, Elisabetta Gavini, Andi Dian Permana, Muhammad Faris Adrianto, David Waite +10 more
2023· review· en· Advanced Drug Delivery Reviews· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
127
citations
fundno affunlabeled
Dark Matter Search Results Using the Silicon Detectors of CDMS II
R. Agnese, Z. Ahmed, A. J. Anderson, S. Arrenberg, D. Balakishiyeva, R. Basu Thakur +83 more
2013· preprint· en· University of North Texas Digital Library (University of North Texas)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
126
citations
fundno affunlabeled
Exhibiting Cinema in Contemporary Art
Erika Balsom
2013· book· en· Amsterdam University Press eBooks· Arts and Humanities
machine prediction:candidate · noneconsensus · none
126
citations
fundno affno abstractunlabeled
The roles of microRNAs in mouse development
Brian DeVeale, Jennifer Swindlehurst-Chan, Robert Blelloch
2021· review· en· Nature Reviews Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
126
citations
fundno affno abstractunlabeled
Investigating biological activity spectrum for novel quinoline analogues
Robert Musioł, Josef Jampílek, Katarína Kráľová, Des R. Richardson, Danuta S. Kalinowski, Barbara Podeszwa +4 more
2006· article· en· Bioorganic & Medicinal Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
126
citations
fundno affno abstractunlabeled
Glycan reductive isotope labeling for quantitative glycomics
Baoyun Xia, Christa L. Feasley, Goverdhan P. Sachdev, David F. Smith, Richard D. Cummings
2009· article· en· Analytical Biochemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
126
citations
fundno affunlabeled
Synthetic chromosomes, genomes, viruses, and cells
J. Craig Venter, John I. Glass, Clyde A. Hutchison, Sanjay Vashee
2022· review· en· Cell· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
126
citations
fundno affunlabeled
Exploring the human hair follicle microbiome*
Marta B. Lousada, Tim Lachnit, Janin Edelkamp, Thomas Rouillé, Dragana Ajdić, Yoshikazu Uchida +3 more
2020· review· en· British Journal of Dermatology· Medicine
machine prediction:candidate · noneconsensus · none
126
citations
fundno affno abstractunlabeled
Genome-wide association study of severity in multiple sclerosis
Farren Briggs, Xiaorong Shao, Benjamin A. Goldstein, Jorge R. Oksenberg, Lisa F. Barcellos, Philip L. De Jager
2011· article· en· Genes and Immunity· Medicine
machine prediction:candidate · noneconsensus · none
126
citations
fundno affunlabeled
Serum Androgen Levels in Elite Female Athletes
Stéphane Bermon, Pierre Yves Garnier, Angelica Lindén Hirschberg, Neil Robinson, Sylvain Giraud, Raul Nicoli +7 more
2014· article· en· The Journal of Clinical Endocrinology & Metabolism· Medicine
machine prediction:candidate · noneconsensus · none
126
citations

How this was built: Screen · Findings · About