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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.

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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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Game Theory and Applications
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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.

675 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.
675 works in the cohort · of 4,299,418page 10 of 14

Labels cover 0 of 675 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 675 of 675 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
Ordinal Dominance and Risk Aversion
Bulat Gafarov, Bruno Salcedo
2014· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Dynamic Coordination Via Organizational Routines
Andreas Blume, April Franco, Paul Heidhues
2011· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A Theory of Credibility under Commitment
Daniel Monte
2010· article· en· The B E Journal of Theoretical Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
The Desire for Revenge and the Dynamics of Conflicts
J. Atsu Amegashie, Marco Runkel
2008· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Rethinking Affordance
Ashley Scarlett, Martin Zeilinger
2019· preprint· en· Media theory.· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A Truth Serum for Sharing Rewards
Arthur Carvalho, Kate Larson
2013· preprint· en· arXiv (Cornell University)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Conflict Resolution in Practice
Haiyan Xu, Keith W. Hipel, D. Marc Kilgour, Liping Fang
2018· book-chapter· en· Studies in systems, decision and control· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reputation in Endogenous Production Teams
Désiré Vencatachellum, Michèle Breton, Pascal St‐Amour
2001· preprint· en· RePEc: Research Papers in Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Linear solvers for nonlinear games
James R. Wright, Albert Xin Jiang, Kevin Leyton‐Brown
2011· article· en· ACM SIGecom Exchanges· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Phi-Strong (weak) domination in a graph.
V. Swaminathan, Pugazhenthan Thangaraju
2003· article· en· Ars Combinatoria· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Games Against Nature
H. A. Eiselt, Carl-Louis Sandblom
2004· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Policy equilibria for graph games
Dao‐Zhi Zeng, Liping Fang, Keith W. Hipel, D. Marc Kilgour
2004· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Tricks with Aggregate Games
David Martimort, Lars Stole
2009· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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