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
Decision-Making and Behavioral Economics
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.

1,177 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.
1,177 works in the cohort · of 4,299,418page 21 of 24

Labels cover 1 of 1,177 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 1,177 of 1,177 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
Deviating from Plans
2025· book-chapter· Cambridge University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Testing Rationality
Michael Neumann
2018· article· en· Dialogue· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Deceit behaviour
S Held
2010· book-chapter· en· Bristol Research (University of Bristol)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Integrate Risk in the Timing of Outcomes
Yi-Tsung Hsieh
2025· dissertation· TSpace (University of Toronto)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
B is for Bias
Călin Vâlsan
2014· article· en· International Journal of Applied Behavioral Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Local Utility and Risk Aversion
Alfred Galichon, Arthur Charpentier, Marc Henry
2012· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Kahneman in Quotes and Reflections
Brett Buttliere, Alexiοs Arvanitis, Michał Białek, Shoham Choshen‐Hillel, Shai Davidai, Thomas Gilovich +16 more
2024· article· en· Psychological Inquiry· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Social Preference Under Twofold Uncertainty
Philippe Mongin, Marcus Pivato
2016· preprint· en· RePEc: Research Papers in Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Expected utility without full transitivity
Walter Bossert, Kotaro Suzumura
2014· preprint· en· Institutional Repositories DataBase (IRDB)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Carga mental
Carlos Díaz Cánepa
2013· article· es· Laboreal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Measuring Probabilistic Risk Attitudes
Arnaldo Nascimento, C. T. Ng, Richard Gonzalez
2025· article· en· Management Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About