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Record W4415356665 · doi:10.1039/d5em00621j

Profiles of per- and polyfluoroalkyl substances in firefighter turnout gear and their impact on exposure assessment

2025· article· en· W4415356665 on OpenAlexafffund
Rocio Aranda‐Rodriguez, Ariadne Piperakis, William Papas, Emma Fantin, Paul A. White

Bibliographic record

VenueEnvironmental Science Processes & Impacts · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsHealth Canada
FundersGovernment of Canada
KeywordsPerfluorooctaneTurnoutContaminationExposure assessmentOccupational exposure

Abstract

fetched live from OpenAlex

= 6, 8, 10) were detected in all samples, accounting for over 50% of the total PFAS content. Generally, perfluorooctane sulfonate (PFOS) was found in older jackets, while perfluorobutane sulfonate (PFBS) was detected in newer jackets. Interestingly, the highest concentrations of FTOHs in the MB occurred in unused gear (DOM 2011), and these concentrations increased over time since manufacture, with the lowest levels found in newer and lightly used gear (DOM 2019). Moreover, the thermal liner from the unused gear had the lowest PFAS concentration.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.156
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.282
Teacher spread0.275 · 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 teacher head, 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

Citations1
Published2025
Admission routes2
Has abstractyes

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