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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.

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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 Game Theory and Cooperation
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,273 results · 1 filter 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.
1,273 works in the cohort · of 4,299,418page 26 of 26

Labels cover 0 of 1,273 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 1,273 of 1,273 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
Cooperation and Sociality
Thomas N. Sherratt, David M. Wilkinson
2010· book-chapter· en· Elsevier eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Recursion for Adversarial Modeling: New Evidence
Debra Gilin, W. Joseph MacInnes
2006· article· en· eScholarship (California Digital Library)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Editorial Comment: The Age of Gossipdom
Nick Salvato
2010· editorial· es· Modern Drama· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
How is evolutionary theory evolving?
Marion Blute
2025· article· en· Trends in Ecology & Evolution· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Relational Aspect of Agent-Regret
Larisa Svirsky
2025· letter· en· The American Journal of Bioethics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Cooperation
Matt DeVos, Deborah Kent
2016· book-chapter· en· Student mathematical library· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Evolution Amid Transition
Peter Licence, Kam Chiu Tam, Audrey Moores, Bala Subramaniam, David T. Allen, Julio F. Serrano
2023· article· en· ACS Sustainable Chemistry & Engineering· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Noise-induced stochastic Nash equilibrium
Cong Li, Tian-Jiao Feng, Xiu-Deng Zheng, Sabin Lessard, Yi Tao
2023· preprint· en· arXiv (Cornell University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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