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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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Cognitive Science and Mapping
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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.

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.

552 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.
552 works in the cohort · of 4,299,418page 5 of 12

Labels cover 0 of 552 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 552 of 552 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
The Cognitive Process of Decision Making
Yingxu Wang, Guenther Ruhe
2011· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Rational Thought, Cognition and Knowledge
E. E. Escultura
2015· article· en· International Education Research· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Global AI Cultures
Simone Natale, Federico Biggio, Payal Arora, John Downey, Riccardo Fassone, Rafael Grohmann +8 more
2025· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Information Seeking
Chun Wei Choo, Brian Detlor, Don Turnbull
2000· book-chapter· en· Information science and knowledge management· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Cognitive Neuroscience of Numerical Cognition
Daniel Ansari, Stephan Vogel
2013· book· en· Oxford University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Can ACT-R Realize "Newell's Dream"?
Francisco Javier Sáinz Sánchez
2005· article· en· eScholarship (California Digital Library)· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Dynamic Cognitive Task Modeling of Complexity Discovery
G. Jean-François, Patrick Jeuniaux, Sébastien Tremblay
2011· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About