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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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Neuroscience, Education and Cognitive Function
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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.

784 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.
784 works in the cohort · of 4,299,418page 1 of 16

Labels cover 2 of 784 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 784 of 784 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
Are There Neural Correlates of Consciousness
Alva Noë, Evan Thompson
2004· article· en· Journal of Consciousness Studies· Neuroscience
machine prediction:candidate · noneconsensus · none
246
citations
affno abstractunlabeled
Cognition, 3rd ed.
John G. Benjafield
2007· article· en· Neuroscience
machine prediction:candidate · noneconsensus · none
100
citations
affno abstractunlabeled
Second Language Teaching
Marcel Danesi
2003· book· en· Neuroscience
machine prediction:candidate · noneconsensus · none
86
citations
affunlabeled
Theories of Human Learning
Guy R. Lefrançois
2019· book· en· Cambridge University Press eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
69
citations
venueno affunlabeled
Empathy, Film, and the Brain
Torben Grodal, Mette Kramer
2014· article· en· Recherches sémiotiques· Neuroscience
machine prediction:candidate · noneconsensus · none
61
citations
afffundunlabeled
Positive Clinical Neuroscience
Narinder Kapur, Jonathan Cole, Tom Manly, Indre V. Viskontas, Aafke Ninteman, Lynn Hasher +1 more
2013· review· en· The Neuroscientist· Neuroscience
machine prediction:candidate · noneconsensus · none
60
citations
affunlabeled
Principles of neuroplasticity and behavior
Bryan Kolb, Robbin Gibb
2008· book-chapter· en· Cambridge University Press eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
34
citations
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How this was built: Screen · Findings · About