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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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Environmental and Social Impact Assessments
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
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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.

1,406 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.
1,406 works in the cohort · of 4,299,418page 24 of 29

Labels cover 3 of 1,406 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 1,406 of 1,406 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.

affaboutunlabeled
Securing Pipeline Approvals in a Tough Regulatory Environment
Mario E. Buszynski
2006· article· en· Volume 1: Project Management; Design and Construction; Environmental Issues; GIS/Database Development; Innovative Projects and Emerging Issues; Operations and Maintenance; Pipelining in Northern Environments; Standards and Regulations· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Protecting science in multilateral environmental assessments
Peter Alexander, Lindsay Beevers, David C. Broadstock, Vassilis Daioglou, T. Jonathan Davies, Edgar E. Gutiérrez-Espeleta +9 more
2025· article· en· Nature Sustainability· Environmental Science
machine prediction:candidate · metaresearchconsensus · none
0
citations
venueaboutno affunlabeled
Health and Environment - Integration
John Ashton
2013· article· en· World health & population· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
A Method for Evaluating Environmental Assessment Systems
Chris Joseph, Thomas Gunton, Murray B. Rutherford
2017· article· en· Journal of Environmental Assessment Policy and Management· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Enabling Environmental Sustainability
Natasha Tang Kai, Larry A. Swatuk
2023· book-chapter· en· Sustainable development goals series· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Paris to Projects Research Initiative
Robert Gibson, Karine Péloffy, Meinhard Doelle
2018· article· en· SSRN Electronic Journal· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Improving Eco-Efficiency effectiveness
Catherine Houssard, Manuele Margni, Yves Pouliot
2017· article· PolyPublie (École Polytechnique de Montréal)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Corrigendum to “Potentially preventable dementia in a First Nations population in the Torres Strait and Northern Peninsula Area of North Queensland, Australia: a cross sectional analysis using population attributable fractions” [The Lancet Regional Health - Western Pacific 26 (2022) 100532]
Fintan Thompson, Sarah Russell, Rachel Quigley, Betty Sagigi, Sean Taylor, Malcolm McDonald +6 more
2023· erratum· en· The Lancet Regional Health - Western Pacific· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About