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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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Sustainable Finance and Green Bonds
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
aboutaboutness

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

351 results · 1 filter active ·
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20062025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
351 works in the cohort · of 4,299,418page 7 of 8

Labels cover 0 of 351 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 351 of 351 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
Climate Shocks and U.S. Bank Stability
Olivier Damette, Maxime Fajeau, Rémi Generoso, Clément Mathonnat
2025· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Machine Learning Lending a Hand to ESG
Supriya Supriya, Vriti Amit Khandelwal, Vasu Sharma
2025· other· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Who Benefits from the Bond Greenium?
Daniel Kim, Sébastien Pouget
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
On the Origin of Green Finance Policies
Anh Vu, Theodor Cojoianu, Declan French, Andreas G. F. Hoepner, Lisa Sheenan
2024· preprint· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Corporate Governance and Greenwashing
Erifili Chatzopoulou, Maria Fotaki, Giorgos Papagiannakis, Stelios C. Zyglidopoulos
2024· article· en· Academy of Management Proceedings· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
International green bond market will grow
2022· other· en· Emerald expert briefings· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Sustainable Finance in Sri Lanka: Challenges and Opportunities
Ethan Feng, H Kazemi, Piyumi Wanniarachch, Ravindra Weerakoon, Chamari Durayalage, Kosange Ranasinghe
2024· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Can CEO Activism Boost ESG Ratings?
Juliane Proelss, Denis Schweizer
2024· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About