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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.

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.

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 45 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. 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
Maximally predictive ensemble dynamics from data
Antonio Carlos Costa, Tosif Ahamed, David Jordan, Greg J. Stephens
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Deep learning based decoding of local field potential events
Achim Schilling, Richard Gerum, Claudia Boehm, Jwan Rasheed, Claus Metzner, Andreas Maier +3 more
2022· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
8
citations
fundno affunlabeled
Temporal scaling of human scalp-recorded potentials
Cameron D. Hassall, Jack Harley, Nils Kolling, Laurence T. Hunt
2020· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Tailoring inputs to achieve maximal neuronal firing
Jiaoyan Wang, Willie Costello, Jonathan E. Rubin
2011· article· en· The Journal of Mathematical Neuroscience· Neuroscience
machine prediction:candidate · noneconsensus · none
8
citations
afffundno abstractunlabeled
Spatiotemporal resonance in mouse primary visual cortex
Rasa Gulbinaite, Mojtaba Nazari, Michael E. Rule, Edgar Bermudez-Contreras, Michael X Cohen, Majid H. Mohajerani +1 more
2024· article· en· Current Biology· Neuroscience
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Integrated Open-Source Software for Multiscale Electrophysiology
Konstantinos Nasiotis, Martin Cousineau, François Tadel, Adrien Peyrache, Richard M. Leahy, Christopher C. Pack +1 more
2019· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · open_scienceconsensus · none
7
citations

How this was built: Screen · Findings · About