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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.

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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
Evidence
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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 49 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.

affno abstractunlabeled
Unraveling engrams: Tracing memories through time
Joseph Lee, Meeraal Zaheer, Sofiya Zbaranska, Sheena A. Josselyn
2024· book-chapter· en· Elsevier eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Evolution of predictive memory in the hippocampus
Adam M. Miller, Alex Jacob, Adam I. Ramsaran, Mitchell L. de Snoo, Sheena A. Josselyn, Paul W. Frankland
2022· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Neuropsychology of planning
Vinod Goel
2024· book-chapter· en· Elsevier eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Learning and memory
Wim E. Crusio, Frans Sluyter, Robert Gerlai, Susanna Pietropaolo
2013· book-chapter· en· Cambridge University Press eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Rhinal and medial prefrontal cortices
Mircea Steriade, Denis Paré
2007· book-chapter· en· Cambridge University Press eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
CHOCOLATE MAKES SNAILS SMARTER
Kathryn Knight
2012· article· en· Journal of Experimental Biology· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
On role models and Joe LeDoux
Sheena A. Josselyn
2024· article· en· Cerebral Cortex· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Mirror Sectors and Mirror Stars
2019· other· en· PIRSA· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Neural Patterns Reflect Shared Emotional History
Chantelle M. Cocquyt, Isabel Wilson, Daniela J. Palombo
2025· article· en· Journal of Neuroscience· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0246-1072(19)30070-7
2000· article· en· Time to knit· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Dopamine and Learning
Katherine Duncan, Daphna Shohamy
2024· book-chapter· en· Oxford University Press eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About