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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 dynamics and brain 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.

4,098 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.
4,098 works in the cohort · of 4,299,418page 28 of 82

Labels cover 0 of 4,098 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 4,098 of 4,098 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Adaptation-induced plasticity in the sensory cortex
Vishal Bharmauria, Afef Ouelhazi, Rudy Lussiez, Stéphane Molotchnikoff
2022· review· en· Journal of Neurophysiology· Neuroscience
distilled prediction:candidate · noneconsensus · none
24
citations
afffundunlabeled
Validation and extension of the reward-mountain model
Yannick-André Breton, Ada Mullett, Kent Conover, Peter Shizgal
2013· article· en· Frontiers in Behavioral Neuroscience· Neuroscience
distilled prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Dynamical constraints on neural population activity
Emily R. Oby, Alan D. Degenhart, Erinn M. Grigsby, Asma Motiwala, Nicole T. McClain, Patrick J. Marino +2 more
2025· article· en· Nature Neuroscience· Neuroscience
distilled prediction:candidate · noneconsensus · none
24
citations
afffundno abstractunlabeled
Alternative time representation in dopamine models
François Rivest, John Kalaska, Yoshua Bengio
2009· article· en· Journal of Computational Neuroscience· Neuroscience
distilled prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
Online spike sorting via deep contractive autoencoder
Mohammadreza Radmanesh, Ahmad Asgharian Rezaei, Mahdi Jalili, Alireza Hashemi, Morteza Moazami Goudarzi
2022· article· en· Neural Networks· Neuroscience
distilled prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
Neurons learn by predicting future activity
Artur Luczak, Bruce L. McNaughton, Yoshimasa Kubo
2020· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
distilled prediction:candidate · metaepi_narrowconsensus · none
23
citations
afffundunlabeled
Quality space computations for consciousness
Stephen M. Fleming, Nicholas Shea
2024· review· en· Trends in Cognitive Sciences· Neuroscience
distilled prediction:candidate · noneconsensus · none
23
citations

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