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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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Economic and Environmental Valuation
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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
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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,880 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.
1,880 works in the cohort · of 4,299,418page 31 of 38

Labels cover 5 of 1,880 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 1,880 of 1,880 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
Three essays on Bayesian choice models
Jin Gyo Kim
2002· dissertation· TSpace· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Do Pilot and Demonstration Projects Work
Christopher J. Blackburn, Mallory Elise Flowers, Daniel C. Matisoff, Juan Moreno‐Cruz
2018· article· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Book review
Stephanie Sodero
2011· article· en· Journal of Transport Geography· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundaboutno affunlabeled
Consumer preferences for improved hen housing: Is a cage a cage?
Maurice Doyon, John Cranfield, Stéphane Bergeron, Lota D. Tamini, George K. Criner
2015· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Operational Transparency: Showing We Are Different
Simai He, Chris Ryan, Danli Yao, Meng Zheng
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Valuing a reduction in the risk of chronic kidney disease
Chris Dockins, Damien Dussaux, Charles Griffiths, Sandra Hoffmann, Nathalie B. Simon
2023· report· en· OECD environment working papers· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Valuing Seafood Attributes by a Stated Choice Model
Thong Tien Nguyen, Wolfgang Haider, Hans Stubbe Solgaard, Eva Roth, Lars Ravn‐Jonsen
2012· article· en· University of Southern Denmark Research Portal (University of Southern Denmark)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Global Value of Freshwater Lakes
Xingming Li, Panagiotis Tsigaris
2023· preprint· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Everyday Biodiversity
Jeffrey R. Smith, Gretchen C. Daily
2020· book-chapter· en· Open Book Publishers· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
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