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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 61 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.

afffundno abstractunlabeled
Bayes Keeps Boltzmann Brains at Bay
Don N. Page
2024· article· en· Foundations of Physics· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Pathfinding: a neurodynamical account of intuition
Steven Kotler, Michael V. Mannino, Karl Friston, György Buzsáki, J. A. Scott Kelso, Guillaume Dumas
2025· review· en· Communications Biology· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Neocortical synchronization
Igor Timofeev, Maksim Bazhenov, Josée Seigneur, Terrence J. Sejnowski
2010· article· en· Epilepsia· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Evoked Potentials: Recording Methods
D. Regan, Marian P. Regan
2009· book-chapter· en· Elsevier eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
When Neural Activity Fails to Reveal Causal Contributions
Kayson Fakhar, Shrey Dixit, Fatemeh Hadaeghi, Konrad P. Körding, Claus C. Hilgetag
2023· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Pynapple, a toolbox for data analysis in neuroscience
Guillaume Viejo, Daniel Levenstein, Sofía Skromne Carrasco, Dhruv Mehrotra, Sara Mahallati, Gilberto R Vite +4 more
2022· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Cluster Tendency Assessment in Neuronal Spike Data
Sara Mahallati, James C. Bezdek, Miloš R. Popović, Taufik A. Valiante
2018· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
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
2023· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Attenuation of High Gamma Activity by Repetitive Motor Tasks
Takahiro Sanada, Christoph Kapeller, Michael Jordan, Masaharu Miyauchi, Shusei Fukuyama, Teruo Kimura +5 more
2025· article· en· Human Brain Mapping· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations

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