MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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 20 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
Biases
Dallas Novakowski, Sandeep Mishra
2021· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Asset integration and risk‐taking in the laboratory
William Morrison, Robert J. Oxoby
2022· article· en· Canadian Journal of Economics/Revue canadienne d économique· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
What We Can Learn
Oldřich Bubák, Henry J. Jacek
2019· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Последовательные $\delta$-оптимальные потребление и инвестирование для финансовых рынков со стохастической волатильностью при неизвестных параметрах
B Berdjane, Sergey Markovich Pergamenshchikov
2015· article· ru· Теория вероятностей и ее применения· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Individual differences in sequential decision-making
Mojtaba Abbaszadeh, Erica Ozanick, Noa Magen, David Darrow, Xinyuan Yan, Alexander Herman +1 more
2025· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Preferences under uncertainty
Martin J. Osborne, Ariel Rubinstein
2023· book-chapter· en· Open Book Publishers· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Random Rank-Dependent Expected Utility
Nail Kashaev, Victor H. Aguiar
2022· article· en· Games· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Espérance morale avec risque moral
Jacques Dréze
2009· article· fr· L Actualité économique· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
ESSAYS ON BEHAVIORAL FINANCE
ARNALDO JOAO DO NASCIMENTO
2021· dissertation· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
On the Antecedents of Uncertainty Aversion
Kelly Goldsmith, On Amir
2012· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Study of Weight Management Based on Intrinsic Incentives
Jinye Chen, Lulu Cheng, Yiming Fu, Yueying Li, You Wang, Junwei Xiang
2023· article· en· Lecture Notes in Education Psychology and Public Media· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About