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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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Energy, Environment, Economic Growth
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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
aboutaboutness

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

1,183 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.
1,183 works in the cohort · of 4,299,418page 16 of 24

Labels cover 1 of 1,183 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 1,183 of 1,183 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
Energy, carbon, and economic growth: Brief literature review
Karel Janda, Marouan Torkhani
2016· preprint· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Changes for 2021
James H. Morrissey, David Lillicrap
2021· editorial· en· Journal of Thrombosis and Haemostasis· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Green Finance and Sustainability
P. K. Hridhya, Kavitha Desai, Sriram Ananthan, Thirupathi Manickam, K. Devaraja Nayaka
2025· other· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Environmental Kuznets Curve for CO2 in Canada
Jie He, Patrick Richard
2009· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Is pollution profitable? A cross-sectional study
Islam Elshahat, Clark M. Wheatley, Ahmed Elshahat
2015· article· en· Academy of Accounting and Financial Studies journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
How do exchange rates affect environmental quality?
Doyoung Park, William Ridley
2024· article· en· Canadian Journal of Economics/Revue canadienne d économique· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
Finance and carbon emissions
Ralph De Haas, Alexander Popov
2019· preprint· en· Econstor (Econstor)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations

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