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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.

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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.

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 6 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.

affno abstractunlabeled
Intelligence Quotient
Donald H. Saklofske, Mike R. Schoenberg, David Nordstokke, Robi L. Nelson
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Multi Sensorial Stimulation Lab: A New Approach for Severe Dementia
Alberto Boccadamo, Alessandra De Luca, Luca Palamà, Daniele Sancarlo, Alessandro Leone, Giovanni Diraco +7 more
2021· book-chapter· en· Lecture notes in electrical engineering· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
fundno affunlabeled
The work engagement cycles of federal civil servants
Marizaura Reis de Souza Camões, Adalmir de Oliveira Gomes, Bruno Rizardi, Joselene Lemos
2023· article· en· Revista de Administração Pública· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Top Down Bottom up Brain Models
Paul Kogut, Jonathan Darvill, David Rosenbluth, David G. Morgenthaler
2014· article· en· Procedia Computer Science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Relational and Algebraic Methods in Computer Science
Peter Höfner, Peter Jipsen, Wolfram Kahl, Martin Müller
2014· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Robert A. Rescorla (1940–2020).
C. R. Gallistel, Vincent M. LoLordo, Paul Rozin, Martin E. P. Seligman
2021· article· en· American Psychologist· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Sociocognitive Inquiry
Brian R. Gaines, Mildred L. G. Shaw
2011· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The physics of categorization
Boaz Tamir, Yair Neuman
2015· article· en· Complexity· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Karush-Kuhn-Tucker Theory
Jonathan M. Borwein, Adrian S. Lewis
2000· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Integrating Systems Thinking and AI
Hassan Qudrat‐Ullah
2025· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About