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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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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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venuejournal
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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
Evidence
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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 19 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.

aboutno affunlabeled
Lake Ontario water chemistry dataset
2018· dataset· en· Neotoma Paleoecological Database· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Most Recent Data (2012). Statistics Canada. CANSIM: Information and Communications Technology - Business and Government Internet Use | Country: Canada | Table: Survey of digital technology and Internet use, main benefits of Information and Communication Technology | Variable: Reduced transaction times, Food, beverage and tobacco wholesaler-distributors, Total, all enterprises | Units: %, 2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-125.
2015· other· en· Data Planet· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Municipal Environmental Liabilities Assessment
Kevan van Velzen
2008· book· en· VDM Verlag Dr. Mller Aktiengesellschaft & Co. KG eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
ISES-ISEE 2010TECHNOLOGY, ENVIRONMENTAL SUSTAINABILITY AND HEALTH
Yvette Bonvalot, Séverine Deguen, Philippe Glorennec, Hélène Desqueyroux, Olivier Laurent, Mathilde Pascal +4 more
2011· article· en· Environnement Risques & Sante· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Évaluation et recommandations
2017· book-chapter· fr· Examens environnementaux de l'OCDE· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Impacts of Canada-China Environmental Research
CHEN JING M., Joseph Whitney, PAN JULIA
2016· book-chapter· en· McGill-Queen's University Press eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Learned Discourses: Timely scientific opinions
Peter M. Chapman
2011· article· en· Integrated Environmental Assessment and Management· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Commission for Environmental Cooperation (CEC)
Esteban Salcedo, C. S. Wang
2024· article· en· Yearbook of International Environmental Law· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
References
David P. Lawrence
2013· other· en· Impact Assessment· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueaboutunlabeled
Issue Information
Fang Yao
2019· paratext· en· Canadian Journal of Statistics· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affno abstractunlabeled
Issue Information
2021· paratext· en· Canadian Public Administration· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueaboutunlabeled
Issue Information
Fang Yao
2019· paratext· en· Canadian Journal of Statistics· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Issue Information
Dorcas Quek, James S. Vaux, Bree L. Dority, Fatima Bokhari, Zahid Shahab, Ahmed Helena +57 more
2020· paratext· en· Conflict Resolution Quarterly· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Learned discourses: Timely scientific opinions
Peter M. Chapman
2012· article· en· Integrated Environmental Assessment and Management· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
APHEIS HEALTH IMPACT ASSESSMENT
Elena Boldo, Sylvie Cassadou, Michal Krzyzanoswki, Hans Guido Mücke, Emilia Maria Niciu
2004· article· en· Epidemiology· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About