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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 594 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
Evolutionary Rescue
Graham Bell
2017· article· en· Annual Review of Ecology Evolution and Systematics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
381
citations
venueno affunlabeled
Alaska’s changing fire regime — implications for the vulnerability of its boreal forestsThis article is one of a selection of papers from The Dynamics of Change in Alaska’s Boreal Forests: Resilience and Vulnerability in Response to Climate Warming.
Eric S. Kasischke, David L. Verbyla, T. Scott Rupp, A. D. McGuire, Karen A. Murphy, Randi Jandt +5 more
2010· article· en· Canadian Journal of Forest Research· Environmental Science
machine prediction:candidate · noneconsensus · none
381
citations
aboutno affunlabeled
An Argo mixed layer climatology and database
James Holte, Lynne D. Talley, John Gilson, Dean Roemmich
2017· article· en· Geophysical Research Letters· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
381
citations
affunlabeled
Multidimensional evaluation of managed relocation
David M. Richardson, Jessica J. Hellmann, J. S. McLachlan, Dov F. Sax, Mark W. Schwartz, Patrick González +16 more
2009· article· en· Proceedings of the National Academy of Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
381
citations
affno abstractunlabeled
Mesocosm Experiments as a Tool for Ecological Climate-Change Research
Rebecca Stewart, Matteo Dossena, David A. Bohan, Erik Jeppesen, Rebecca L. Kordas, Mark E. Ledger +8 more
2013· book-chapter· en· Advances in ecological research/Advances in Ecological Research· Environmental Science
machine prediction:candidate · noneconsensus · none
381
citations
affno abstractunlabeled
Functional roles for C5a receptors in sepsis
Daniel Rittirsch, Michael A. Flierl, Brian A. Nadeau, Danielle E. Day, Markus Huber‐Lang, Charles R. Mackay +7 more
2008· article· en· Nature Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
381
citations
afffundunlabeled
Programming gene expression with combinatorial promoters
Robert Sidney Cox, Michael G. Surette, Michael B. Elowitz
2007· article· en· Molecular Systems Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
381
citations
afffundunlabeled
The production effect: Delineation of a phenomenon.
Colin M. MacLeod, Nigel Gopie, Kathleen L. Hourihan, Karen R. Neary, Jason D. Ozubko
2010· article· en· Journal of Experimental Psychology Learning Memory and Cognition· Neuroscience
machine prediction:candidate · noneconsensus · none
381
citations
affunlabeled
Sensors in the Stream: The High-Frequency Wave of the Present
Michael Rode, Andrew J. Wade, Matthew J. Cohen, Robert T. Hensley, Michael J. Bowes, James W. Kirchner +9 more
2016· article· en· Environmental Science & Technology· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
381
citations

How this was built: Screen · Findings · About