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Record W3094476405 · doi:10.1021/acs.estlett.0c00758

Dechlorane Plus in the Global Atmosphere

2020· article· en· W3094476405 on OpenAlexafffundabout
Jasmin K. Schuster, Tom Harner, Ed Sverko

Bibliographic record

VenueEnvironmental Science & Technology Letters · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsEnvironment and Climate Change Canada
FundersGovernment of Canada
KeywordsEnvironmental scienceListing (finance)Sampling (signal processing)Atmosphere (unit)Range (aeronautics)Passive samplingAir pollutantsPollutantGeographyAtmospheric sciencesMeteorologyAir pollutionChemistryStatisticsMathematicsPhysicsEngineeringTelecommunicationsBusiness

Abstract

fetched live from OpenAlex

Abstract Dechlorane plus (DP) is a high-production volume chlorinated flame retardant, which is under consideration for listing under the Stockholm Convention on Persistent Organic Pollutants. In this study, we provide additional and timely information to help evaluate the spatial and temporal trends and long-range transport potential of DP at 67 sampling sites. The Global Atmospheric Passive Sampling network has been deploying passive air samplers quarterly since 2005. A retrospective analysis of samples from 2005 and 2006 indicates that DP is globally distributed in air with total DP levels ranging from nondetect to 30 pg/m3. The median value at urban sites (∼0.9 pg/m3) was approximately 10 times greater than at background, rural, and agricultural sites. The anti-DP/syn-DP ratio was relatively consistent across most site categories and in the range of values measured in commercial products containing DP. This suggests that both isomers are about equally capable of long-range transport in air. A retrospective analysis for selected sites covering the period of 2005–2011 showed declining levels of DP at urban sites in Paris and Toronto.

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 score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.006
GPT teacher head0.206
Teacher spread0.200 · 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

Citations24
Published2020
Admission routes3
Has abstractyes

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Same venueEnvironmental Science & Technology LettersSame topicToxic Organic Pollutants ImpactFrench-language works237,207