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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 23 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.

aboutno affunlabeled
Occurrence Download
2023· dataset· en· Global Biodiversity Information Facility· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Possibility and permissibility
Kin Chung Lo
2009· preprint· en· RePEc: Research Papers in Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Decision rules and correlated features
Wahida Chowdhury, Warren Thorngate
2014· article· en· eScholarship (California Digital Library)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Equivalence: A Novel Basis for Model Analysis
Terrence C. Stewart, Robert West
2007· article· en· eScholarship (California Digital Library)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
The Dynamics of Inattention in the (Baseball) Field
James Archsmith, Anthony Heyes, Matthew Neidell, Bhaven N. Sampat
2021· article· en· The Economic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
FEF Biases the Persistence of Expectation
Brandon Caie, Paul Schrater, Aarlenne Z. Khan, Gunnar Blohm
2019· article· en· 2019 Conference on Cognitive Computational Neuroscience· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Theory of Weak Revealed Preference
Victor H. Aguiar, Per Hjertstrand, Roberto Serrano
2019· preprint· en· arXiv (Cornell University)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Single-Plateaued Choice
Walter Bossert, Hans Peters
2012· preprint· en· Papyrus : Institutional Repository (Université de Montréal)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
savings and investment decisions of planners
Richard Deaves, E. Theodore Veit, Gokul Bhandari, John M. Cheney
2007· article· Financial Services Review· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
CONTEXTUAL CONTROL OF ACCRUAL THRESHOLDS
William M. Petrusic, Joseph V. Baranski
2006· article· en· Proceedings of Fechner Day· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Mental Simulation and Stability Over Time
Steve Hoeffler, Gal Zauberman, Min Zhao
2005· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
L’effet de cadrage
Daniela Ovadia
2018· article· fr· Cerveau & Psycho· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Measure of Decision Flexibility
Ross D. Shachter, Marvin Mandelbaum
2013· preprint· en· arXiv (Cornell University)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Reverse Bayesianism: A Generalization
Edi Karni, Quitzé Valenzuela-Stookey, Marie-Louise Vierà ̧
2018· preprint· en· RePEc: Research Papers in Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Efficient and Non-Deteriorating Choice
Walter Bossert, Yves Sprumont
2002· preprint· en· RePEc: Research Papers in Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Analogy in Decision-Making
Massimiliano Amarante
2009· article· en· Papyrus : Institutional Repository (Université de Montréal)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Stochastic Distributions
Chrissy M. Chubala
2022· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Rational Behavior
Alex C. Michalos, Alex C. Michalos
2014· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About