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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
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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 4 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.

affunlabeled
A Mechanism for LIBOR
Brian Coulter, Joel Shapiro, Peter Zimmerman
2017· article· en· European Finance Review· Decision Sciences
machine prediction:candidate · noneconsensus · none
31
citations
afffundunlabeled
Deep optimization for spectrum repacking
Neil Newman, Alexandre Fréchette, Kevin Leyton‐Brown
2017· article· en· Communications of the ACM· Decision Sciences
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Auction-based P2P VoD streaming
Chuan Wu, Zongpeng Li, Xuanjia Qiu, Francis C. M. Lau
2012· article· en· ACM Transactions on Multimedia Computing Communications and Applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
28
citations
affunlabeled
Optimal deadlines for agreements
Ettore Damiano, Hao Li, Wing Suen
2012· article· en· Theoretical Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
28
citations
affunlabeled
Disclosure “Bunching”
Ronald A. Dye
2010· article· en· Journal of Accounting Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
27
citations
affno abstractunlabeled
Equilibrium rejection of a mechanism
Gorkem Celik, Michael Peters
2011· article· en· Games and Economic Behavior· Decision Sciences
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
Optimal Reverse-Pricing Mechanisms
Martin Spann, Robert Zeithammer, Gerald Häubl
2010· article· en· Marketing Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
27
citations
afffundunlabeled
Using the Shapley Value to Analyze Algorithm Portfolios
Alexandre Fréchette, Lars Kotthoff, Tomasz Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton‐Brown
2016· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
Optimal Mechanism Design without Money
Alex Gershkov, Benny Moldovanu, Xianwen Shi
2013· preprint· en· RePEc: Research Papers in Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Price formation in a sequential selling mechanism
Radosveta Ivanova‐Stenzel, Sabine Kröger
2008· article· en· Journal of Economic Behavior & Organization· Decision Sciences
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Optimal design of a name-your-own price channel
John G. Wilson, Guoren Zhang
2008· article· en· Journal of Revenue and Pricing Management· Decision Sciences
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Buy it Now: A Hybrid Internet Market Institution
Steven T. Anderson, Daniel Friedman, Garrett Milam, Nirvikar Singh
2004· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
26
citations

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