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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.

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Decision-Making and Behavioral Economics
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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.

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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 ·
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20002025
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Machine labels · sparse coverage
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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 4 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.

afffundno abstractunlabeled
Syllogistic reasoning time: Disconfirmation disconfirmed
Valerie A. Thompson, Christopher L. Striemer, Rhett Reikoff, Raymond W. Gunter, Jamie I. D. Campbell
2003· article· en· Psychonomic Bulletin & Review· Decision Sciences
machine prediction:candidate · noneconsensus · none
64
citations
afffundunlabeled
Inequality and Risk-Taking
Sandeep Mishra, Leanne S. Son Hing, Martin L. Lalumière
2015· article· en· Evolutionary Psychology· Decision Sciences
machine prediction:candidate · noneconsensus · none
64
citations
venueno affunlabeled
Welfare economics, risk and uncertainty
Marc Fleurbaey
2018· article· en· Canadian Journal of Economics/Revue canadienne d économique· Decision Sciences
machine prediction:candidate · noneconsensus · none
63
citations
affno abstractunlabeled
What Intuitions Are… and Are Not
Valerie A. Thompson
2013· book-chapter· en· ˜The œPsychology of learning and motivation/˜The œpsychology of learning and motivation· Decision Sciences
machine prediction:candidate · noneconsensus · none
62
citations
affunlabeled
When the Going Gets Tough
Michael J. A. Wohl, Nyla R. Branscombe, Jamey J. Lister
2013· article· en· Social Psychological and Personality Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
58
citations
affno abstractunlabeled
Prospect Theory, Indifference Curves, and Hedging Risks
Удо Бролл, Martín Egozcue, Ričardas Zitikis, Wing‐Keung Wong
2010· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
53
citations
affno abstractunlabeled
Affective guidance in the Iowa gambling task
Brandon Wagar, Michael J. Dixon
2006· article· en· Cognitive Affective & Behavioral Neuroscience· Decision Sciences
machine prediction:candidate · noneconsensus · none
52
citations
affunlabeled
Rational Powers in Action
Sergio Tenenbaum
2020· book· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
50
citations
affunlabeled
Big Data and Personalized Pricing
Etye Steinberg
2019· article· en· Business Ethics Quarterly· Decision Sciences
machine prediction:candidate · noneconsensus · none
50
citations
affno abstractunlabeled
Ellsberg Revisited: An Experimental Study
Yoram Halevy
2005· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
49
citations
fundno affunlabeled
Eliciting risk preferences using choice lists
David Freeman, Yoram Halevy, Terri Kneeland
2019· article· en· Quantitative Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
48
citations

How this was built: Screen · Findings · About