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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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Auction 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.

1,300 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.
1,300 works in the cohort · of 4,299,418page 24 of 26

Labels cover 1 of 1,300 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 1,300 of 1,300 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
Factors affecting price setting in online auctions
Chun Qiu, Peter T. L. Popkowski Leszczyc, Yongfu He
2012· article· en· Journal of Revenue and Pricing Management· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Modelling of a Combinatorial Double Auction Using DEVS
Juan De Antón, Cristina Ruiz-Martín, Félix Villafáñez, David Poza, Adolfo López‐Paredes
2025· book-chapter· en· Lecture notes on data engineering and communications technologies· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Cooperative Locker Location Games
Fabio Mercurio, Loe Schlicher, S.U.K. Rohmer, Tom Van Woensel
2025· preprint· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Class fairness in online matching
Hadi Hosseini, Zhiyi Huang, Ayumi Igarashi, Nisarg A. Shah
2024· article· en· Artificial Intelligence· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Coasian Equilibria in Sequential Auctions
Qingmin Liu, Konrad Mierendorff, Xianwen Shi
2023· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comparing Position Auctions Computationally
David R. M. Thompson, Kevin Leyton‐Brown
2010· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Three Essays on Procurement Auctions
2023· dissertation· en· QSpace (Queen's University Library)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Menu Auctions Under Asymmetric Information
David Martimort, Lars Stole
2024· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Cap-and-Trade Auction Design
Matthew Olson
2015· dissertation· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Coasian equilibria in sequential auctions
Qingmin Liu, Konrad Mierendorff, Xianwen Shi
2025· article· en· European Economic Review· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Event bidding
Cheryl Mallen
2008· book-chapter· en· Elsevier eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Entry and Exit in Treasury Auctions
Jason Allen, Alı Hortaçsu, Eric Richert, Milena Wittwer
2025· preprint· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
ESG Integration under Asymmetric Information
Dongkyu Chang, Keeyoung Rhee, Aaron Yoon
2023· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Conclusion and Future Research Directions
Changyan Yi, Jun Cai
2016· book-chapter· en· Springer briefs in electrical and computer engineering· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Market-Based Incentives for Optimal Audit Quality
Andrew A. Acito, Amir Amel‐Zadeh, James Anderson, William L. Anderson, Daniel Aobdia, François Brochet +4 more
2024· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Back-End Bidding for Front-End Negotiation: A Model
Réal A. Carbonneau, Rustam Vahidov
2015· book-chapter· en· Lecture notes in business information processing· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About