Effect of Sewage Sludge on Accumulation of Persistent Organic Pollutants in Soils
Bibliographic record
Abstract
A pot experiment was carried out of Trifolium pretense and different soils treated with different types of sewage sludge.Three kinds of organic pollutants,including 19 compounds,such as polychlorinated biphenyls(PCBs),organochlorine pesticides(OCPs)and polycyclic aromatic hydrocarbons(PAHs),in the soils were systematically analyzed with the GC and HPLC techniques to investigate effects of the sludges on accumulation of organic pollutants in the tested soils.OCPs dominated in the soils and PCBs,PA,and B[a]P followed.Strongly carcinogenic B[a]P was detected in all the soils,but far below the criteria in the soil standards of Canada(0.1 mg/kg)and the Netherlands(0.025 mg/kg).The contents of PA in the soils were much higher than B[a]P,but still below the criteria of the soil standards of Canadian(0.1 mg/kg)and onty the contents of some individuals were high than criteria in the soil standards of the Netherlands(0.045 mg/kg).Application of sewage sludge in farmland will lead to soil pollution with organic pollutants to a varying degree.Pollution degree is closely related to properties of sewage sludges,chemical compounds and soils.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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 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".