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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.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Evolutionary Applications
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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.

426 results · 1 filter active ·
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20082025
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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.
426 works in the cohort · of 4,299,418page 2 of 9

Labels cover 0 of 426 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 426 of 426 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.

afffundunlabeled
SYNTHESIS: Cancer research meets evolutionary biology
John W. Pepper, C. Scott Findlay, Rees Kassen, Sabrina L. Spencer, Carlo C. Maley
2009· article· en· Evolutionary Applications· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
107
citations
affunlabeled
A physiological perspective on fisheries‐induced evolution
Jack Hollins, Davide Thambithurai, Barbara Koeck, Amélie Crespel, David M. Bailey, Steven J. Cooke +3 more
2018· article· en· Evolutionary Applications· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
99
citations
affunlabeled
Identifying key questions in the ecology and evolution of cancer
Antoine M. Dujon, Athena Aktipis, Catherine Alix‐Panabières, Sarah R. Amend, Amy M. Boddy, Joel S. Brown +27 more
2020· article· en· Evolutionary Applications· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
98
citations
afffundunlabeled
Urbanization erodes niche segregation in Darwin's finches
Luis F. De León, Diana M. T. Sharpe, Kiyoko M. Gotanda, Joost A. M. Raeymaekers, Jaime A. Chaves, Andrew P. Hendry +1 more
2018· article· en· Evolutionary Applications· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
80
citations
affaboutunlabeled
EDITORIAL: Toward Darwinian fisheries management
Erin S. Dunlop, Katja Enberg, Christian Jørgensen, Mikko Heino
2009· editorial· en· Evolutionary Applications· Environmental Science
machine prediction:candidate · noneconsensus · none
70
citations
afffundunlabeled
Mediterranean blue tits as a case study of local adaptation
Anne Charmantier, Claire Doutrelant, Gabrielle Dubuc‐Messier, Amélie Fargevieille, Marta Szulkin
2015· review· en· Evolutionary Applications· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
64
citations

How this was built: Screen · Findings · About