MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Neuroscience and Neuropharmacology Research
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

5,101 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
5,101 works in the cohort · of 4,299,418page 80 of 103

Labels cover 1 of 5,101 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 5,101 of 5,101 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
Hippocampal Kindling and GABAB Receptor Functions
L. Stan Leung, Xinhuai Liu, Kevin J. Canning, Bixia Shen
2007· book-chapter· en· Advances in behavioral biology· Neuroscience
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Rapid effects of steroids in the brain
Luke Remage‐Healey, Elena Choleris, Jacques Balthazart
2018· editorial· en· Hormones and Behavior· Neuroscience
machine prediction:candidate · noneconsensus · none
4
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
2023· preprint· en· Neuroscience
machine prediction:candidate · noneconsensus · none
4
citations
affvenueunlabeled
Modulation of AMPA receptors by a novel organic nitrate
Samuel Toong, Zhi‐Gang Xiong, Sergei I. Zavorin, Donglin Bai, Beverley A. Orser, Gregory R. J. Thatcher +2 more
2001· article· en· Canadian Journal of Physiology and Pharmacology· Neuroscience
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
Editorial: The synaptic basis of neuropathology
Fereshteh S. Nugent, Alfredo Kirkwood, Carl R. Lupica, P. Jesper Sjöström
2022· editorial· en· Frontiers in Synaptic Neuroscience· Neuroscience
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Axo-vascular coupling mediated by oligodendrocytes
Alejandro Restrepo, Andrea Trevisiol, Camilo Restrepo-Arango, Constanze Depp, Andrew Octavian Sasmita, Annika Keller +3 more
2022· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About