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Comprehensive characterization of European house dust contaminants: Concentrations and profiles, geographical variability, and implications for chemical regulation and health risk

2024· article· en· W4404907176 on OpenAlexaff
Peter Haglund, ‪Nikiforos Alygizakis, Adrian Covaci, Lisa Melymuk, Pernilla Bohlin‐Nizzetto, Paweł Rostkowski, Alexandre Albinet, Sylvana Alirai, Dagny Aurich, Stefan Bieber, Ana Ballesteros‐Gómez, Amanda A. Brennan, Hélène Budzinski, Gabriela Castro, Fatima den Ouden, Marie‐Hélène Devier, Valeria Dulio, Yong‐Lai Feng, Marta Fonseca Gabriel, Christine Gallampois, Manuel García-Vara, Georgios Giovanoulis, Stuart Harrad, G. Jacobs, Karl J. Jobst, Sarit Kaserzon, Jolanta Kumirska, François Lestremau, Dimitra A. Lambropoulou, Thomas Letzel, Maja Nipen, Peter Oswald, Giulia Poma, Petra Příbylová, Elliott J. Price, Gaëlle Raffy, Bastian Schulze, Emma Schymanski, Petr Šenk, Si Wei, Jaroslav Slobodnı́k, Begoña Talavera Andújar, Martin Täubel, Nikolaos S. Thomaidis, Thanh Wang, Xianyu Wang

Bibliographic record

VenueThe Science of The Total Environment · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsMemorial University of NewfoundlandHealth Canada
FundersRECETOX Přírodovědecké Fakulty Masarykovy UniverzityAgencia Estatal de InvestigaciónUniwersytet im. Adama Mickiewicza w PoznaniuMasarykova UniverzitaVlaamse regeringGrantová Agentura České RepublikyUniversité de BordeauxBijzonder Onderzoeksfonds UGentUniversiteit AntwerpenMinistry of EnvironmentSvenska Forskningsrådet FormasEuropean CommissionGeneralitat de CatalunyaUniversité du LuxembourgAgence Nationale de la RechercheFonds National de la Recherche LuxembourgU.S. Environmental Protection Agency
KeywordsEnvironmental chemistryContaminationBiocideEnvironmental sciencePolybrominated diphenyl ethersTriclocarbanPollutantChemistryTriclosanEcologyBiologyOrganic chemistry

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.238
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2024
Admission routes1
Has abstractno

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Same venueThe Science of The Total Environment→Same topicToxic Organic Pollutants Impact→French-language works237,207→