Assessing Dicofol Concentrations in Air: Retrospective Analysis of Global Atmospheric Passive Sampling Network Samples from Agricultural Sites in India
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.006 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it