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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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Neural and Behavioral Psychology Studies
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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.

3,183 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.
3,183 works in the cohort · of 4,299,418page 42 of 64

Labels cover 5 of 3,183 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 3,183 of 3,183 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
Frontal Lobe Syndrome
Donald T. Stuss, Michael P. Alexander
2009· book-chapter· en· Elsevier eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
6
citations
afffundno abstractunlabeled
Fluency misattribution and auditory hindsight bias
Daniel M. Bernstein, Ragav Kumar, Michael E. J. Masson, Daniel J. Levitin
2018· article· en· Memory & Cognition· Neuroscience
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Humans forage for reward in reinforcement learning tasks
Meriam Zid, Veldon-James Laurie, Akram Shourkeshti, Dameon C Harrell, Alexander Herman, R. Becket Ebitz
2024· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Impaired Decision Making in Alzheimer’s Disease
Pascal Hot, Kylee T. Ramdeen, Céline Borg, Thierry Bollon, Pascal Couturier
2013· article· en· Clinical Psychological Science· Neuroscience
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Analyses of response time data in the same–different task.
Denis Cousineau, Bradley Harding, Jesika A. Walker, Guillaume Durand, Julien T. Groulx, Sébastien Lauzon +1 more
2023· article· en· Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale· Neuroscience
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Why is cognitive effort experienced as costly?
A. Ross Otto, Andrew Westbrook, Jean Daunizeau
2025· article· en· Trends in Cognitive Sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
6
citations

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