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Record W4404683760 · doi:10.1021/acs.estlett.4c00897

High Time Resolution Ambient Observations of Gas-Phase Perfluoroalkyl Carboxylic Acids: Implications for Atmospheric Sources

2024· article· en· W4404683760 on OpenAlexafffundabout
Cora J. Young, Shira Joudan, Ye Tao, Jeremy J. B. Wentzell, John Liggio

Bibliographic record

VenueEnvironmental Science & Technology Letters · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsUniversity of AlbertaEnvironment and Climate Change CanadaUniversity of TorontoYork University
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsGas phaseCarboxylic acidPhase (matter)Resolution (logic)Environmental scienceAstrobiologyChemistryAtmospheric sciencesGeologyOrganic chemistryPhysicsComputer science

Abstract

fetched live from OpenAlex

Atmospheric formation of persistent perfluoroalkyl carboxylic acids (PFCAs) is a route to global contamination, including drinking water sources. We present high time resolution measurements of C 2 –C 6 PFCAs in ambient air made over 6 weeks each in winter and summer 2022 in Toronto, Canada. Observations were made using chemical ionization mass spectrometry with acetate ionization, with care taken to avoid system contamination. Measurements of trifluoroacetic acid (C 2 PFCA) are reported at 1 min time resolution, while those for C 3 –C 6 PFCAs are at 10 min time resolution. Variations with time and relationships to meteorology and other pollutants show evidence of secondary formation of all observed PFCAs except perfluoropropionic acid (C 3 PFCA). High time resolution data allow these unique observations, allowing for improved process and source understanding moving forward. Mixing ratios of TFA were larger than predicted from models that describe TFA formation from known precursors, indicating additional atmospheric sources of this molecule have yet to be identified.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.464
Threshold uncertainty score0.923

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.256
Teacher spread0.244 · 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

Citations17
Published2024
Admission routes3
Has abstractyes

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