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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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Water-Energy-Food Nexus Studies
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.

780 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.
780 works in the cohort · of 4,299,418page 12 of 16

Labels cover 1 of 780 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 780 of 780 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
Waste Water Treatment Plants and the Smart Grid
Rasmus Halvgaard, Peter Tychsen, Thomas Munk-Nielsen, Morten Grum, Henrik Madsen
2014· article· en· DTU Sustain Conference 2014· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Letter to the Editor
Elham Ebrahimi Sarindizaj, Mostafa Khorsandi
2023· letter· en· The Science of The Total Environment· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
<i>AWWA Water Science</i> Author Spotlight
Leili Abkar
2020· article· en· American Water Works Association· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Coca Cola Membrane Bioreactor Wastewater Treatment System
Turner Grant, Mike Allison, Shannon Grant, Daniel Bertoldo, Bryan Connerat, Alecia Welsh +1 more
2023· article· en· Proceedings of the Water Environment Federation· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
基于微生物电化学技术平台的碳增值
Jayesh M. Sonawane, Zhiyong Jason Ren, Deepak Pant
2023· book-chapter· zh· IWA Publishing eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Biofuels could spell ecosystem disaster
Andy Coghlan
2007· article· en· The New Scientist· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
脱碳政策和水务行业的机会
Jason A. Turgeon, Steven A. Conrad, Peter A. Vanrolleghem
2023· book-chapter· en· IWA Publishing eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About