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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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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.

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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.

1,880 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 33 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.

aboutno affno abstractunlabeled
Neighborhood effects among landscaped park users in Saguenay.
Mark Tremblay, Majella Simard
2011· article· fr· VertigO - La Revue Electronique en Sciences de l'Environment· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Cost of Meeting Consumer Demand
John D. Lawrence
2004· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Nonparametric vs parametric binary choice models
Christophe Bontemps, Michel Simioni, Jeffrey S. Racine
2012· preprint· fr· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Golf courses and home values in California’s Central valley
Nyakundi M. Michieka, Donald J. Lacombe, Yiannis Ampatzidis
2021· article· en· International Journal of Housing Markets and Analysis· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Stone with sensing components
2021· article· en· Zenodo (CERN European Organization for Nuclear Research)· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
WEIGHTING THE BENEFITS OF WEIGHT LOSS PROGRAMS
Larissa Roux, Christina Ubach, Cam Donaldson, Molly Ryan
2003· article· en· Medicine & Science in Sports & Exercise· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
LAS VIAS PECUARIAS Y LA PLANIFICACION TERRITORIAL
Inmaculada Guaita Pradas, Isabel Barrachina Martínez, Marin Soler Fuensanta
2010· preprint· es· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A"Delphi exercise"as a tool in Amazon rainforest valuation
Jon Strand, Richard T. Carson, Ståle Navrud, Ariel Ortiz‐Bobea, Jeffrey R. Vincent
2014· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
0
citations

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