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
Neural and Behavioral Psychology Studies
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.

3,183 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.
3,183 works in the cohort · of 4,299,418page 19 of 64

Labels cover 5 of 3,183 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 3,183 of 3,183 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.

fundno affunlabeled
Aging and the rate of visual information processing
Duncan Guest, Christina J. Howard, Louise A. Brown, Harriet Gleeson
2015· article· en· Journal of Vision· Neuroscience
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Error negativity and response control
Patricia E Pailing, Sidney J. Segalowitz, Jane Dywan, Patricia L. Davies
2002· article· en· Psychophysiology· Neuroscience
machine prediction:candidate · noneconsensus · none
38
citations
afffundunlabeled
Interleaved Pro/Anti-saccade Behavior Across the Lifespan
Rachel Yep, Matthew L. Smorenburg, Heidi C. Riek, Olivia G. Calancie, Ryan H. Kirkpatrick, Julia E. Perkins +4 more
2022· article· en· Frontiers in Aging Neuroscience· Neuroscience
machine prediction:candidate · noneconsensus · none
38
citations
fundno affunlabeled
Learned spatial suppression is not always proactive.
Seah Chang, Blaire Dube, Julie D. Golomb, Andrew B. Leber
2023· article· en· Journal of Experimental Psychology Human Perception & Performance· Neuroscience
machine prediction:candidate · noneconsensus · none
37
citations
afffundno abstractunlabeled
Affect-biased attention and predictive processing
Madeleine Ransom, Sina Fazelpour, Jelena Markovic, James H. Kryklywy, Evan T. Thompson, Rebecca M. Todd
2020· review· en· Cognition· Neuroscience
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
The Changing Face of Attentional Development
Jelena Ristic, James T. Enns
2015· article· en· Current Directions in Psychological Science· Neuroscience
machine prediction:candidate · noneconsensus · none
35
citations

How this was built: Screen · Findings · About