Distribution of polychlorinated biphenyls in agricultural soils from NCR, Delhi, India
Bibliographic record
Abstract
Twenty eight polychlorinated biphenyls (PCBs) congeners including twelve dioxin-like PCBs were measured in agricultural soils. ΣPCBs ranged between <0.01 – 99.40 ng g-1 (dry wt.) with the mean of 13.44±0.06 ng g-1 (dry wt.). The concentration of DL-PCBs ranged between 0.37- 19.09 ng g-1 (dry wt.) with an average of 6.26±0.03 ng g-1 (dry wt.). PCB-105 (25%), PCB-114 (18%) and PCB-118 (18%), were the dominant congeners. Ortho PCBs accounted for 61% and, non ortho PCBs contributed only 18% to the total DL- PCBs. The toxicity equivalent calculated using WHO 2005-TEFs range from 0.01 to 105.40 pg WHO 2005-TEQ g-1 (dry wt.) with the mean of 13.78±0.11 pg WHO 2005-TEQ g-1 (dry wt.). PCBs contamination in soils from Delhi region was lower than Canadian guideline values. The contamination source of PCBs in soils possibly comes from open waste burning, electronic waste recycling and depositions from industrial emissions.
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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 | 0.003 | 0.003 |
| 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 | 0.001 |
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".