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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 2,483 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
Agents causing occupational asthma
Jean‐Luc Malo, Moira Chan‐Yeung
2008· article· en· Journal of Allergy and Clinical Immunology· Medicine
machine prediction:candidate · noneconsensus · none
146
citations
afffundunlabeled
Genetic determinants of heat resistance in Escherichia coli
Ryan G. Mercer, Jinshui Zheng, Rigoberto Garcia-Hernandez, Lifang Ruan, Michael G. Gänzle, Lynn M. McMullen
2015· article· en· Frontiers in Microbiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
146
citations
affunlabeled
d-Dimer elevation and adverse outcomes
Rim Halaby, Christopher J. Popma, Ander Cohen, Gerald Chi, Marcelo Rodrigues Zacarkim, Gonzalo Romero +12 more
2014· review· en· Journal of Thrombosis and Thrombolysis· Medicine
machine prediction:candidate · noneconsensus · none
146
citations
affno abstractunlabeled
Pathophysiology of Septic Shock
James A. Russell, Barret Rush, John H. Boyd
2017· review· en· Critical Care Clinics· Medicine
machine prediction:candidate · noneconsensus · none
146
citations
fundno affno abstractunlabeled
Surface free energy effect on bacterial retention
C.I. Pereni, Qi Zhao, Y. Liu, E.W. Abel
2006· article· en· Colloids and Surfaces B Biointerfaces· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
146
citations
affno abstractunlabeled
Reprogramming the assembly of unmodified DNA with a small molecule
Nicole Avakyan, Andrea A. Greschner, Faisal A. Aldaye, Christopher J. Serpell, Violeta Toader, Anne Petitjean +1 more
2016· article· en· Nature Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
146
citations
affunlabeled
WHF IASC Roadmap on Chagas Disease
Luis Eduardo Echeverría, Rachel Marcus, Gabriel Novick, Sergio Sosa‐Estáni, Kate Ralston, Ezequiel Zaidel +14 more
2020· review· en· Global Heart· Medicine
machine prediction:candidate · noneconsensus · none
146
citations
affno abstractunlabeled
The emergence of neurotransmitters as immune modulators
Rafael Franco, Rodrigo Pacheco, Carmen Lluís, Gerard P. Ahern, Peta J. O’Connell
2007· review· en· Trends in Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
146
citations

How this was built: Screen · Findings · About