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
Neurotransmitter Receptor Influence on Behavior
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.

2,289 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.
2,289 works in the cohort · of 4,299,418page 28 of 46

Labels cover 2 of 2,289 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 2,289 of 2,289 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.

afffundunlabeled
Serotonergic Contribution to Boys' Behavioral Regulation
Amélie Nantel‐Vivier, Robert O. Pihl, Simon N. Young, Sophie Parent, Stacey A Bélanger, Rachel Sutton +3 more
2011· article· en· PLoS ONE· Neuroscience
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
The Neurobiology of Addiction
John C.M. Brust
2004· book-chapter· en· Elsevier eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Biochemistry, Dopamine Receptors
Anmol Bhatia, Jennifer R. Lenchner, Abdolreza Saadabadi
2019· article· en· Neuroscience
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
A prospective code for value in the serotonin system
Emerson F. Harkin, Cooper D. Grossman, Jeremiah Y. Cohen, Jean-Claude Béı̈que, Richard Naud
2025· article· en· Nature· Neuroscience
machine prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
<scp>VGLUT</scp>3 gates psychomotor effects induced by amphetamine
Nina Mansouri-Guilani, Véronique Bernard, Érika Vigneault, Vincent Vialou, Stéphanie Daumas, Salah El Mestikawy +1 more
2018· article· en· Journal of Neurochemistry· Neuroscience
machine prediction:candidate · noneconsensus · none
17
citations

How this was built: Screen · Findings · About