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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
Retraction
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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
fundfunder
venuejournal
aboutaboutness

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
Evidence
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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 15 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Third-Party Data Providers Ruin Simple Mechanisms
Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani
2020· article· en· Proceedings of the ACM on Measurement and Analysis of Computing Systems· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
When Is (Performance-Sensitive) Debt Optimal?
Pierre Chaigneau, Alex Edmans, Daniel Gottlieb
2021· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
afffundunlabeled
On Groves mechanisms for costly inclusion
Andrew Mackenzie, Christian Trudeau
2023· article· en· Theoretical Economics· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affno abstractunlabeled
English Auctions with Loss Averse Bidders
Anna Dodonova, Yuri Khoroshilov
2005· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
On Frequent Batch Auctions for Stocks
Ravi Jagannathan
2019· article· en· Journal of Financial Econometrics· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
An Interview with Kotaro Suzumura
Walter Bossert, Marc Fleurbaey
2014· article· en· Social Choice and Welfare· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Secret Reserve Prices by Uninformed Sellers
El Hadi Caoui
2020· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations
affno abstractunlabeled
Fundamentals of Mechanism Design
Changyan Yi, Jun Cai
2016· book-chapter· en· Springer briefs in electrical and computer engineering· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Governments at the bidding table
Johannes Van Biesebroeck
2008· article· en· New Zealand Economic Papers· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affno abstractunlabeled
Competing with Asking Prices
Benjamin Lester, Ludo Visschers, Ronald Wolthoff
2016· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Organizing Time Banks: Lessons from Matching Markets
Tommy Andersson, Albin Erlanson, Lars Ehlers
2020· book· en· Econstor (Econstor)· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
3
citations
affvenueunlabeled
Building High-Quality Auction Fraud Dataset
2019· article· en· Computer and Information Science· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
Evolutionary Techniques for Reverse Auctions
Shubhashis Kumar Shil, Samira Sadaoui, Malek Mouhoub
2013· article· en· Intelligent Control and Automation· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Inferring Transactions from Financial Statements
Anil Arya, John C. Fellingham, Douglas A. Schroeder, Jonathan Glover, Gilbert Strang
2000· article· en· Contemporary Accounting Research· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
afffundunlabeled
A Game-Theoretic Analysis of Catalog Optimization
Joel Oren, Nina Narodytska, Craig Boutilier
2014· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Allocation for Social Good
Taylor Lundy, Alexander Wei, Hu Fu, Scott Duke Kominers, Kevin Leyton‐Brown
2019· article· en· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affunlabeled
Sealed-bid versus ascending spectrum auctions
Nicholas C. Bedard, Jacob K. Goeree, Philippos Louis, Jingjing Zhang
2023· article· en· Experimental Economics· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations
fundno affno abstractunlabeled
Web and Internet Economics
2023· book· en· Lecture notes in computer science· Decision Sciences
distilled prediction:candidate · noneconsensus · none
2
citations

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