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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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Heavy metals in environment
Retraction
Abstract
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Label agreement
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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.

2,300 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.
2,300 works in the cohort · of 4,299,418page 44 of 46

Labels cover 4 of 2,300 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 2,300 of 2,300 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
Heavy metal contamination in sediments of a riparian area in San Luis Potosi, Mexico Contaminación por metales pesados en sedimentos de un área ribereña en San Luis Paotosí, México
Jorge Alonso Alcalá Jáuregui, Juan Carlos Rodríguez Ortiz, Alejandra Hernández Montoya, Federico Villarreal‐Guerrero, Alejandra Cabrera Rodríguez, F. Alfredo +2 more
2014· article· es· Revista de la Facultad de Ciencias Agrarias UNCuyo· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(95)96697-4
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
تقييم اللآثار البيئية الناتجة عن انتشار الانشطة الصناعية المختلفة و محطات الوقود بالمنطقة الشمالية الغربية للساحل الممتدة من تاجوراء شرقا حتي الماية غربا و جنوبا حتى قصر بن غشير
منصور عويدات سالم, علي عمران الزرقة, عافية سالم النعاس, عمر محمد الشريف, ياسر فتحي نصار
2022· article· ar· Journal of Pure & Applied Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
How Do Metals Interact with Periphytic Biofilms?
Maxime Leclerc, Maxime Wauthy, Dolors Planas, Marc Amyot
2023· article· en· SSRN Electronic Journal· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractRetractionunlabeled
Retraction notice to ‘Applications of engineered biochar in remediation of heavy metal(loid)s pollution from wastewater: Current perspectives toward sustainable development goals’ [Sci. Total Environ., 926 (2024) 171859]
Thien Khanh Tran, Loan Huynh, Hoang‐Lam Nguyen, Minh‐Ky Nguyen, Chitsan Lin, Tuan‐Dung Hoang +4 more
2025· article· en· The Science of The Total Environment· Environmental Science
machine prediction:candidate · research_integrityconsensus · none
0
citations
aboutno affunlabeled
Conexiones geoquímicas entre suelos y sedimentos en la microcuenca de Umayo mediante análisis multivariado y factores de enriquecimiento
Dante Aatilio Salas-Ávila, Luis David Lipa-Quispe, Kelly Patricia Huillca-Cruz, Nelson Meier Humalla-Lopez, Cristian Ciro Leqque-Valenzuela, Nesareth Fuentes-Mamani +2 more
2025· article· es· Revista de Investigaciones Altoandinas - Journal of High Andean Research· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

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