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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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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 140 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.

aboutno affunlabeled
Reflections on the Revolution in France
Edmund Burke
2009· book· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
942
citations
afffundno abstractunlabeled
Chronic insomnia
Charles M. Morin, Ruth M. Benca
2012· review· la· The Lancet· Psychology
machine prediction:candidate · noneconsensus · none
942
citations
affunlabeled
Effects of neonicotinoids and fipronil on non-target invertebrates
Lennard Pisa, V. Amaral-Rogers, Luc Belzunces, Jean‐Marc Bonmatin, Craig A. Downs, Dave Goulson +12 more
2014· review· en· Environmental Science and Pollution Research· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
941
citations
aboutno affunlabeled
Worlding Cities
2011· book· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
941
citations
affunlabeled
Vorapaxar in the Secondary Prevention of Atherothrombotic Events
David A. Morrow, Eugene Braunwald, Marc P. Bonaca, Sebastián F. Ameriso, Anthony J. Dalby, Mary Polly Fish +12 more
2012· article· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
941
citations
affunlabeled
CAR T Cells Produced in vivo to Treat Cardiac Injury
Joel G. Rurik, István Tombácz, Amir Yadegari, Pedro O. Méndez Fernández, Swapnil V. Shewale, Li Li +12 more
2023· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Medicine
machine prediction:candidate · noneconsensus · none
940
citations
afffundunlabeled
Predicting workplace aggression: A meta-analysis.
M. Sandy Hershcovis, Nick Turner, Julian Barling, Kara A. Arnold, Kathryne E. Dupré, Michelle Inness +2 more
2007· review· en· Journal of Applied Psychology· Social Sciences
machine prediction:candidate · noneconsensus · none
939
citations
affunlabeled
Soot
Raja Vallée-Rai, Phong Co, Étienne Gagnon, Laurie Hendren, Patrick Lam, Vijay Sundaresan
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
939
citations
affno abstractunlabeled
Tannins in plant–herbivore interactions
Raymond V. Barbehenn, C. Peter Constabel
2011· review· en· Phytochemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
938
citations
affno abstractunlabeled
Changing the future of obesity: science, policy, and action
Steven L. Gortmaker, Boyd Swinburn, David T. Levy, Rob Carter, Patricia L. Mabry, Diane T. Finegood +3 more
2011· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
938
citations
affgemma · bibliometrics+metaresearchgpt · bibliometrics+scholarly_communicationmodels split
Bibliometrics: Methods for studying academic publishing
Anton Ninkov, Jason R. Frank, Lauren A. Maggio
2021· article· en· Perspectives on Medical Education· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
938
citations
afffundunlabeled
The Radial Velocity Experiment (RAVE): First Data Release
Matthias Steinmetz, T. Zwitter, A. Siebert, F. G. Watson, K. C. Freeman, U. Munari +48 more
2006· article· en· The Astronomical Journal· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
938
citations
affno abstractunlabeled
Targeted protein degradation: expanding the toolbox
Matthieu Schapira, Matthew F. Calabrese, Alex N. Bullock, Craig M. Crews
2019· review· en· Nature Reviews Drug Discovery· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
938
citations
aboutno affunlabeled
The Long and Large Decline in U.S. Output Volatility
Olivier Blanchard, John Simon
2001· article· en· Brookings Papers on Economic Activity· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
938
citations

How this was built: Screen · Findings · About