Soil pollution characteristics of hexachlorobenzene in Gansu Province and its neighboring regions
Bibliographic record
Abstract
Hexachlorobenzen(HCB) samples in topsoil were collected at unban,rural and background sites across Gansu Province and its neighboring provinces in March 2011.32 soil samples collected from this field campaign were analyzed using GC-MSD.The detection ratio of HCB in all samples was as high as 96.9%,and the concentration ranged from n.d.to 11.7ng/g,with a mean value of 1.21ng/g.Measured HCB levels in the soil samples were the highest at unban sites,followed by rural and background sites.It was found that the topsoil HCB contamination in soils in most areas was caused primarily by long-distance atmospheric transport from its sources and subsequent desorption.The major sources contributing to HCB soil contamination could be traced back to these agricultural regions in Qingyang,Zhangye and Jinchang,as well as industrial and urban areas in Qingyang,Xining(Qinghai province),and Lanzhou,respectively.Results also show that the soil organic matter contents were significantly correlated with HCB soil concentrations.Overall the monitored soil contamination levels indicated that the ecological risk of HCB was relatively low at most sampling sites,except for Qingyang and Xining.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".