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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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Game Theory and Voting Systems
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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.

776 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.
776 works in the cohort · of 4,299,418page 3 of 16

Labels cover 0 of 776 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 776 of 776 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
FIRST IN VILLAGE OR SECOND IN ROME?*
Ettore Damiano, Hao Li, Wing Suen
2010· article· en· International Economic Review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Acceptable equilibria in dynamic bargaining games
Alain Haurie, Boleslaw Tolwinski
2005· book-chapter· en· Lecture notes in control and information sciences· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
26
citations
afffundunlabeled
Primarily about Primaries
Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Efficient and Thrifty Voting by Any Means Necessary
Debmalya Mandal, Ariel D. Procaccia, Nisarg Shah, David P. Woodruff
2019· article· en· Neural Information Processing Systems· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Welfare egalitarianism in non-rival environments
François Maniquet, Yves Sprumont
2004· article· en· Journal of Economic Theory· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Cooperation and equity in the river sharing problem
Stéfan Ambec, Lars Ehlers
2007· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
A Robust Redesign of High School Match
Sam Il Myoung Hwang
2015· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
25
citations
affno abstractunlabeled
Candidate stability and nonbinary social choice
Lars Ehlers, John A. Weymark
2003· article· en· Economic Theory· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Misrepresentation in district voting
Yoram Bachrach, Omer Lev, Yoad Lewenberg, Yair Zick
2016· article· en· International Joint Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
Fair Division with Subsidy
Daniel Halpern, Nisarg Shah
2019· book-chapter· en· Lecture notes in computer science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Coalitional bargaining with agent type uncertainty
Georgios Chalkiadakis, Craig Boutilier
2007· article· en· International Joint Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Matching with Dynamic Ordinal Preferences
Hadi Hosseini, Kate Larson, Robin Cohen
2015· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Maximal-Element Rationalizability
Walter Bossert, Yves Sprumont, Kotaro Suzumura
2005· article· en· Theory and Decision· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
21
citations
fundno affno abstractunlabeled
Contractually stable networks
Jean-François Caulier, Ana Mauleon, Vincent Vannetelbosch
2012· article· en· International Journal of Game Theory· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
The ultimate control group
Gregory K. Dow
2002· article· en· Journal of Economic Behavior & Organization· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
20
citations
afffundunlabeled
Market-Based Explanations of Collective Decisions
Dominik Peters, Grzegorz Pierczyński, Nisarg Shah, Piotr Skowron
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Farsighted Stability in Hedonic Games
Effrosyni Diamantoudi, Licun Xue
2002· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Centralized allocation in multiple markets
Daniel Monte, Norovsambuu Tumennasan
2015· article· en· Journal of Mathematical Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
Matchings with externalities and attitudes
Simina Brânzei, Tomasz Michalak, Talal Rahwan, Kate Larson, Nicholas R. Jennings
2013· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
18
citations
afffundunlabeled
Convergence of Iterative Scoring Rules
Omer Lev, Jeffrey S. Rosenschein
2016· article· en· Journal of Artificial Intelligence Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Stable Marriage with General Preferences
Linda Farczadi, Konstantinos Georgiou, Jochen Könemann
2016· article· en· Theory of Computing Systems· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
How Hard Is It to Control an Election by Breaking Ties?
Nicholas Mattei, Nina Narodytska
2014· book-chapter· en· Frontiers in artificial intelligence and applications· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Two-sided matching with partial information
Baharak Rastegari, Anne Condon, Nicole Immorlica, Kevin Leyton‐Brown
2013· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Rank aggregation with ties: Experiments and Analysis
Bryan Brancotte, Bo Yang, Guillaume Blin, Sarah Cohen‐Boulakia, Alain Denise, Sylvie Hamel
2015· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Primaries and the New Hampshire Effect
Tilman Klumpp, Mattias Polborn
2004· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations

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