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
EEG and Brain-Computer Interfaces
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.

3,062 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.
3,062 works in the cohort · of 4,299,418page 51 of 62

Labels cover 7 of 3,062 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 3,062 of 3,062 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.

affvenueunlabeled
Step on the Gas! Focal Seizures with Autonomic Features
Alyson Plecash, Daryl Wile
2019· letter· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Brain network for small-scale features in active touch
Saeed Babadi, Roger Gassert, Vincent Hayward, Marco Piccirelli, Spyros Kollias, Theodore E. Milner
2022· article· en· Neuroimage Reports· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
PERFORM Dataset; one control subject
PERFORM Centre
2019· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Consolidation Effects in a Full-Body Diving Task
Maxime Trempe, Jean-Luc Gohier, Mathieu Charbonneau, Jonathan Tremblay
2017· article· en· Journal of Motor Learning and Development· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
fundvenueno affunlabeled
Development of Brain-machine Interfaces
César Márquez-Chin
2011· dissertation· en· Library and Archives Canada (Government of Canada)· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
A.4 Entropy on routine EEG: an interictal marker of seizure frequency?
É Lemoine, Jean-Daniel Tessier, G McDuff, M Robert, D Toffa, F Lesage +2 more
2022· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About