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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.

affaffiliation
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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 10 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.

affunlabeled
Mental accounting of product returns
Chang‐Yuan Lee, Carey K. Morewedge
2023· article· en· Journal of Consumer Psychology· Decision Sciences
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Fluency and Feeling of Rightness
Selina Wang, Valerie Thompson
2019· article· en· Psihologijske teme· Decision Sciences
machine prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
Looking Backward and Forward on Hindsight Bias
Daniel M. Bernstein, André Aßfalg, Ragav Kumar, Rakefet Ackerman
2015· book· en· Oxford University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
13
citations
afffundno abstractunlabeled
The environmental malleability of base-rate neglect
Martin Harry Turpin, Ethan Andrew Meyers, Alexander C. Walker, Michał Białek, Jennifer A. Stolz, Jonathan A. Fugelsang
2020· article· en· Psychonomic Bulletin & Review· Decision Sciences
machine prediction:candidate · noneconsensus · none
12
citations
afffundunlabeled
Do framing effects reveal irrational choice?
David R. Mandel
2013· article· en· Journal of Experimental Psychology General· Decision Sciences
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Goal Framing in Public Issue and Action Decisions
Katherine D. Arbuthnott, Andrea Scerbe
2016· article· en· Analyses of Social Issues and Public Policy· Decision Sciences
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Postulates of Rational Preference
Alex C. Michalos
2017· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Choosing from a Moral Point of View
Norman Frohlich, oe Oppenheimer
2001· article· en· Journal of Interdisciplinary Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Behavioral portfolio insurance strategies
Marcos Escobar‐Anel, Andreas Lichtenstern, Rudi Zagst
2020· article· en· Financial markets and portfolio management· Decision Sciences
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About