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Record W2296935088 · doi:10.1021/acs.estlett.6b00041

Assessing Dicofol Concentrations in Air: Retrospective Analysis of Global Atmospheric Passive Sampling Network Samples from Agricultural Sites in India

2016· article· en· W2296935088 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEnvironmental Science & Technology Letters · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsUniversity of ManitobaEnvironment and Climate Change Canada
FundersGovernment of CanadaUnited Nations
KeywordsDicofolEnvironmental scienceSampling (signal processing)Environmental chemistryPesticideAgricultureChemistryEnvironmental engineeringGeographyAgronomyEngineeringBiology

Abstract

fetched live from OpenAlex

Risk assessment of the pesticide dicofol is hampered by the lack of information about its levels, which is largely attributed to its instability during instrumental analysis. In this study, dicofol was assessed in air through a novel approach by tracking the ratio of the two isomers ( p, p ′ and o, p ′) of its stable degradation product dichlorobenzophenone (DCBP), while considering other potential precursors. Twenty-three samples were collected using polyurethane foam (PUF) disk passive air samplers deployed across agricultural, urban, and rural sites throughout India in 2006 under the Global Atmospheric Passive Sampling Network. The retrospective analysis focused on agricultural sites in the Indo-Gangentic Plain region where dicofol is used. Yearly mean concentrations for p, p ′- and o, p ′-DCBP (breakdown products of p, p ′- and o, p ′-dicofol, respectively) were 1.1 and 0.29 ng/m 3, respectively, for agricultural sites, 1.6 and 0.31 ng/m 3, respectively, at an urban site, and 0.36 and 0.039 ng/m 3, respectively, at a background site.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.006
Science and technology studies0.0000.003
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 head0.006
GPT teacher head0.230
Teacher spread0.224 · 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