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Record W3211416309 · doi:10.1021/acs.est.1c06896

A New OECD Definition for Per- and Polyfluoroalkyl Substances

2021· article· en· W3211416309 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Science & Technology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsHealth Canada
Fundersnot available
KeywordsAgency (philosophy)Library sciencePolitical scienceManagementEnvironmental protectionEngineeringGeographySociologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTA New OECD Definition for Per- and Polyfluoroalkyl SubstancesZhanyun Wang*Zhanyun WangChair of Ecological Systems Design, Institute of Environmental Engineering, ETH Zürich, John-von-Neumann-Weg 9, 8093 Zürich, Switzerland*Email: [email protected]More by Zhanyun WangView Biographyhttps://orcid.org/0000-0001-9914-7659, Andreas M. BuserAndreas M. BuserSwiss Federal Office for the Environment (FOEN), 3063 Ittigen, SwitzerlandMore by Andreas M. Buser, Ian T. CousinsIan T. CousinsDepartment of Environmental Science and Analytical Chemistry (ACES), Stockholm University, SE-10691, Stockholm, SwedenMore by Ian T. Cousinshttps://orcid.org/0000-0002-7035-8660, Silvia DemattioSilvia DemattioEuropean Chemicals Agency, Telakkakatu 6, 00150 Helsinki, FinlandMore by Silvia Demattio, Wiebke DrostWiebke DrostGerman Environment Agency, Wörlitzer Platz 1, 06844 Dessau-Roßlau, GermanyMore by Wiebke Drost, Olof JohanssonOlof JohanssonSwedish Chemicals Agency, Esplanaden 3A, 172 67 Sundbyberg, SwedenMore by Olof Johansson, Koichi OhnoKoichi OhnoHealth and Environmental Risk Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, JapanMore by Koichi Ohno, Grace PatlewiczGrace PatlewiczCenter for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, Durham, North Carolina 27711, United StatesMore by Grace Patlewicz, Ann M. RichardAnn M. RichardCenter for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, Durham, North Carolina 27711, United StatesMore by Ann M. Richardhttps://orcid.org/0000-0003-2116-2300, Glen W. WalkerGlen W. WalkerDepartment of Agriculture, Water and the Environment, Australian Government, General Post Office Box 858, Canberra, Australian Capital Territory 2601, AustraliaMore by Glen W. Walker, Graham S. WhiteGraham S. WhiteNew Substances Assessment and Control Bureau, Safe Environments Directorate, Health Canada, Ottawa K1A 0K9, CanadaMore by Graham S. White, and Eeva LeinalaEeva LeinalaEnvironment, Health and Safety Division, Environment Directorate, Organisation for Economic Cooperation and Development, 2, rue André Pascal, 75016, Paris, FranceMore by Eeva LeinalaCite this: Environ. Sci. Technol. 2021, 55, 23, 15575–15578Publication Date (Web):November 9, 2021Publication History Received12 October 2021Published online9 November 2021Published inissue 7 December 2021https://pubs.acs.org/doi/10.1021/acs.est.1c06896https://doi.org/10.1021/acs.est.1c06896article-commentaryACS PublicationsCopyright © 2021 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views24976Altmetric-Citations69LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (2 MB) Get e-AlertscloseSUBJECTS:Alkyls,Aromatic compounds,Carbene compounds,Chemical structure,Chemoinformatics Get e-Alerts

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.014
GPT teacher head0.250
Teacher spread0.237 · 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