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
Cognitive Psychology
Topic
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.

27 results · 1 filter active ·
Results by year
20022025
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.
27 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 27 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 27 of 27 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
Intuition, reason, and metacognition
Valerie A. Thompson, Jamie A. Prowse Turner, Gordon Pennycook
2011· article· en· Cognitive Psychology· Decision Sciences
machine prediction:candidate · noneconsensus · none
694
citations
affno abstractunlabeled
Compositional inductive biases in function learning
Eric Schulz, Joshua B. Tenenbaum, David Duvenaud, Maarten Speekenbrink, Samuel J. Gershman
2017· article· en· Cognitive Psychology· Neuroscience
machine prediction:candidate · noneconsensus · none
97
citations
affno abstractunlabeled
A synchronization account of false recognition
Brendan T. Johns, Michael N. Jones, D. J. K. Mewhort
2012· article· en· Cognitive Psychology· Neuroscience
machine prediction:candidate · noneconsensus · none
54
citations
affno abstractunlabeled
Prototypicality in sentence production
Kristine H. Onishi, Gregory L. Murphy, Kathryn Bock
2007· article· en· Cognitive Psychology· Neuroscience
machine prediction:candidate · noneconsensus · none
29
citations
affno abstractunlabeled
Planning to speak in L1 and L2
Agnieszka E. Konopka, Antje S. Meyer, Tess Allegra Forest
2018· article· en· Cognitive Psychology· Neuroscience
machine prediction:candidate · noneconsensus · none
20
citations
afffundno abstractunlabeled
Probability and intentional action
Spencer R. Ericson, Stephanie Denison, John Turri, Ori Friedman
2023· article· en· Cognitive Psychology· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About