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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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Municipal Solid Waste Management
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.

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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.

705 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.
705 works in the cohort · of 4,299,418page 1 of 15

Labels cover 3 of 705 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 705 of 705 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.

affno abstractunlabeled
Waste to energy potential: A case study of Saudi Arabia
Omar K. M. Ouda, Syed A. Raza, Abdul‐Sattar Nizami, Mohammad Rehan, Rafat Al‐Waked, Nicholas E. Korres
2016· article· en· Renewable and Sustainable Energy Reviews· Environmental Science
machine prediction:candidate · noneconsensus · none
467
citations
venueno affunlabeled
The Concept of Waste and Waste Management
Ebikapade Amasuomo, Jim Baird
2016· article· en· Journal of Management and Sustainability· Environmental Science
machine prediction:candidate · noneconsensus · none
229
citations
affno abstractunlabeled
Peak Waste: When Is It Likely to Occur?
Daniel Hoornweg, Perinaz Bhada‐Tata, Christopher Kennedy
2014· article· en· Journal of Industrial Ecology· Environmental Science
machine prediction:candidate · noneconsensus · none
135
citations
affunlabeled
Waste-to-energy potential in the Western Province of Saudi Arabia
Omar K. M. Ouda, Syed A. Raza, Rafat Al‐Waked, Jawad F. Al‐Asad, Abdul‐Sattar Nizami
2015· article· en· Journal of King Saud University - Engineering Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
115
citations

How this was built: Screen · Findings · About