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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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Memory and Neural Mechanisms
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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
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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.

2,640 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.
2,640 works in the cohort · of 4,299,418page 35 of 53

Labels cover 4 of 2,640 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 2,640 of 2,640 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
Can the Spinal Cord Learn and Remember?
Pierre A. Guertin
2008· review· en· The Scientific World JOURNAL· Neuroscience
machine prediction:candidate · noneconsensus · none
7
citations
fundno affunlabeled
Developmentally distinct architectures in top-down circuits
Cassandra B. Klune, Caitlin M Goodpaster, Michael W. Gongwer, Christopher Gabriel, Rita Chen, Nico S. Jones +1 more
2023· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
Object Alternation
Morris Freedman, Malcolm A. Binns, Sandra E. Black, Brian Levine, Bruce L. Miller, Joel Ramirez +4 more
2013· article· en· Alzheimer Disease & Associated Disorders· Neuroscience
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Multimodal Object Representations Rely on Integrative Coding
Aedan Y. Li, Natalia Ladyka‐Wojcik, Heba Qazilbash, Ali Golestani, Dirk B. Walther, Chris B. Martin +1 more
2022· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Robotic Path Planning Based on Episodic-cognitive Map
Qiang Zou, Ming Cong, Dong Liu, Yu Du
2019· article· en· International Journal of Control Automation and Systems· Neuroscience
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
II. Study 1: Memory and Executive Function
Philip David Zelazo, Ulrich Müller, Douglas Frye, Stuart Marcovitch
2003· article· en· Monographs of the Society for Research in Child Development· Neuroscience
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Latent Inhibition of US Signal Value
Murray J. Goddard
2003· article· en· The Quarterly Journal of Experimental Psychology Section B· Neuroscience
machine prediction:candidate · noneconsensus · none
6
citations

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