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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.

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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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Functional Brain Connectivity Studies
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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.

5,853 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.
5,853 works in the cohort · of 4,299,418page 6 of 118

Labels cover 13 of 5,853 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 5,853 of 5,853 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
Null models in network neuroscience
František Váša, Bratislav Mišić
2022· review· en· Nature reviews. Neuroscience· Neuroscience
machine prediction:candidate · noneconsensus · none
219
citations
affunlabeled
FMRIPrep: a robust preprocessing pipeline for functional MRI
Oscar Estéban, Christopher J. Markiewicz, Ross Blair, Craig A. Moodie, Ayse Ilkay Isik, Asier Erramuzpe +10 more
2018· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
217
citations
affunlabeled
Adversarial Network Embedding
Quanyu Dai, Qiang Li, Jian Tang, Dan Wang
2018· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Neuroscience
machine prediction:candidate · noneconsensus · none
201
citations
afffundunlabeled
Epilepsy and brain network hubs
Jessica Royer, Boris C. Bernhardt, Sara Larivière, Ezequiel Gleichgerrcht, Bernd J. Vorderwülbecke, Serge Vulliémoz +1 more
2022· review· en· Epilepsia· Neuroscience
machine prediction:candidate · noneconsensus · none
200
citations
affunlabeled
Consciousness of subjective time in the brain
Lars Nyberg, Alice S. N. Kim, Reza Habib, Brian Levine, Endel Tulving
2010· article· en· Proceedings of the National Academy of Sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
199
citations
afffundunlabeled
Subcortical structural connectivity of insular subregions
Jimmy Ghaziri, Alan Tucholka, Gabriel Girard, Olivier Boucher, Jean‐Christophe Houde, Maxime Descoteaux +4 more
2018· article· en· Scientific Reports· Neuroscience
machine prediction:candidate · noneconsensus · none
199
citations
afffundunlabeled
Cigarette smoking and thinning of the brain’s cortex
Sherif Karama, Simon Ducharme, Janie Corley, François Chouinard-Decorte, John M. Starr, Joanna M. Wardlaw +2 more
2015· article· en· Molecular Psychiatry· Neuroscience
machine prediction:candidate · noneconsensus · none
186
citations
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How this was built: Screen · Findings · About