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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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Marketing Science
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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.

130 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.
130 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 130 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 130 of 130 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.

fundno affunlabeled
Modeling Consumer Demand for Variety
Jaehwan Kim, Greg M. Allenby, Peter E. Rossi
2002· article· en· Marketing Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
434
citations
affunlabeled
Product and Pricing Decisions in Crowdfunding
Ming Hu, Xi Li, Mengze Shi
2015· article· en· Marketing Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
302
citations
affunlabeled
Own-Brand and Cross-Brand Retail Pass-Through
David Besanko, Jean‐Pierre Dubé, Sachin Gupta
2005· article· en· Marketing Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
237
citations
affunlabeled
The Economic Value of Online Reviews
Chunhua Wu, Hai Che, Tat Y. Chan, Xianghua Lu
2015· article· en· Marketing Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
180
citations
affunlabeled
Coupons Versus Rebates
Qiang Lu, Sridhar Moorthy
2007· article· en· Marketing Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
134
citations
affunlabeled
Social Responsibility and Product Innovation
Ganesh Iyer, David Soberman
2016· article· en· Marketing Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
130
citations
fundno affunlabeled
Advertising Effects in Presidential Elections
Brett R. Gordon, Wesley R. Hartmann
2012· article· en· Marketing Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
121
citations
affunlabeled
Limited Memory, Categorization, and Competition
Yuxin Chen, Ganesh Iyer, Amit Pazgal
2009· article· en· Marketing Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
67
citations
affunlabeled
Price Fairness and Strategic Obfuscation
William J. Allender, Jūra Liaukonytė, Sherif Nasser, Timothy J. Richards
2020· article· en· Marketing Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
65
citations

How this was built: Screen · Findings · About