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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.

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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
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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 3 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
Learning When to Stop Searching
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
2019· article· en· Management Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
43
citations
afffundunlabeled
The Impact of Online Auction Duration
Ernan Haruvy, Peter T. L. Popkowski Leszczyc
2009· article· en· Decision Analysis· Decision Sciences
machine prediction:candidate · noneconsensus · none
41
citations
affno abstractunlabeled
Competing auctions with endogenous quantities
Benny Moldovanu, Aner Sela, Xianwen Shi
2007· article· en· Journal of Economic Theory· Decision Sciences
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Approximation of Nash equilibria in Bayesian games
Olivier Armantier, Jean‐Pierre Florens, Jean‐François Richard
2008· article· en· Journal of Applied Econometrics· Decision Sciences
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Optimal Monitoring Design
George Georgiadis, Balázs Szentes
2020· article· en· Econometrica· Decision Sciences
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Ranking Contingent Monitoring Systems
Marie‐Cécile Fagart, Bernard Sinclair‐Désgagné
2007· article· en· Management Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
35
citations
affunlabeled
Price of Anarchy for Greedy Auctions
Brendan Lucier, Allan Borodin
2010· preprint· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
35
citations
affno abstractunlabeled
Governing AI Agents
Noam Kolt
2024· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
33
citations
venueno affunlabeled
Inferring Transactions from Financial Statements*
Anil Arya, John C. Fellingham, Jonathan Glover, Douglas A. Schroeder, Gilbert Strang
2000· article· en· Contemporary Accounting Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
32
citations
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