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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 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.

affaffiliation
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aboutaboutness

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
Evidence
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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 13 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.

aboutno affunlabeled
Three Essays on Commitment and Information Problems
Matthias Fahn
2011· article· en· Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Information Sharing in Financial Markets
2024· dataset· en· Data Archiving and Networked Services (DANS)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Verifiability and Effective Persuasion
Noemie Cabau, Ming Li
2024· preprint· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
An Ordinal Solution to King Solomon's Dilemma
Joshua S. Gans, Richard Holden
2025· preprint· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Valuing influence
Hyun‐Soo Ahn, Christopher Ryan, Joline Uichanco, Mengzhenyu Zhang
2023· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
On linear quadratic potential games
Sara Hosseinirad, Giulio Salizzoni, Alireza Alian Porzani, Maryam Kamgarpour
2025· article· en· Automatica· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Stability Definitions: Hybrid Preference
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
affno abstractunlabeled
Reputational Algorithm Aversion
Gregory Weitzner
2024· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Quantum Extensive Form Games
Kazuki Ikeda
2022· preprint· en· arXiv (Cornell University)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Bayesian Persuasion without Commitment
Itai Arieli, Colin Stewart
2025· preprint· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Discerning Solution Concepts
Nail Kashaev, Bruno Salcedo
2019· preprint· en· arXiv (Cornell University)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Noncooperative Games
Elena Parilina, Puduru Viswanadha Reddy, Georges Zaccour
2022· book-chapter· en· Theory and decision library. Series C, Game theory, mathematical programming and operations research· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Information and crowding externalities
Robert Clark, Mattias Polborn
2005· article· en· Economic Theory· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Reasons and Decisions
Diane Jeske, John Horton, Frederick Stoutland, Jan Narveson, Margaret Gilbert
2013· article· en· Jurisprudence· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Haidoterminus
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Misaligned Agents
2025· preprint· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Introduction
2000· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Verifiability and Effective Persuasion
Noemie Cabau, Ming Li
2023· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Game theory
Ekram Hossain, Dusit Niyato, Han Zhu
2009· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About