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Record W4411185307 · doi:10.1021/acs.estlett.5c00478

Scientists’ Statement on the Chemical Definition of PFASs

2025· article· en· W4411185307 on OpenAlexaff
Gabriel Sigmund, Marta Venier, Marlene Ågerstrand, Ian T. Cousins, Jamie C. DeWitt, Miriam L. Diamond, Jennifer A. Field, Alex T. Ford, Shira Joudan, S.P.J. van Leeuwen, Rainer Lohmann, Carla A. Ng, Martin Scheringer, Anna Soehl, Noriyuki Suzuki, Xenia Trier, S. Valsecchi, Penny Vlahos, Cora J. Young, Zhanyun Wang

Bibliographic record

VenueEnvironmental Science & Technology Letters · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsUniversity of AlbertaYork UniversityUniversity of Toronto
FundersNational Institute of Environmental Health Sciences
KeywordsStatement (logic)Environmental chemistryChemistryEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

RecommendationsT he undersigned are scientists with expertise in per-and polyfluoroalkyl substances (PFASs) and/or the management of chemicals.We assert that the Organization for Economic Co-operation and Development (OECD) definition of PFASs is scientifically grounded, unambiguous, and well suited to identify these chemicals.We are concerned that some individuals and organizations are seeking a redefinition of PFASs endorsed by the International Union of Pure and Applied Chemistry (IUPAC) to exclude certain fluorinated chemical subgroups from the scope of the existing definition.We are concerned that this effort is politically and/or economically, rather than scientifically, motivated.An IUPAC-endorsed and potentially narrower PFAS definition could confer undue legitimacy from the endorsement by a recognized global scientific organization and, thereby, influence regulatory bodies and others to adopt less protective policies.Organofluorine chemicals are used in consumer products and industrial applications to impart oil-, water-, and stainresistance, stability, inertness, and/or other useful properties.The term "PFASs" arose from the need to identify a subgroup of organofluorine chemicals with a common feature, the very stable perfluorinated carbon.There are millions of theoretical PFAS structures, but the much lower number of PFASs actually manufactured and used is estimated to be several thousands.

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.

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)0.032
metaresearch head score (Gemma)0.067
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.053
Threshold uncertainty score0.169

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.067
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.003
Science and technology studies0.0090.010
Scholarly communication0.0100.009
Open science0.0050.006
Research integrity0.0530.057
Insufficient payload (model declined to judge)0.0110.018

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 head0.010
GPT teacher head0.243
Teacher spread0.233 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations24
Published2025
Admission routes1
Has abstractyes

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