Residues of some organic pollutants, their bioaccumulation, and risk assessments profile in Lake Temsah, Ismailia, Egypt
Bibliographic record
Abstract
Residues of polycyclic aromatic hydrocarbons (pahs), polychlorinated biphenyls (pcbs) and organochlorine pesticides (ocps) were monitored in Lake Temsah ecosystem including fish and bivalve species, water and sediment. The concentration of these organic pollutants were in the order of pahs>ocps> pcbs. The mean total concentrations of pcbs (Σ 11 pcbs) were in the order of sediment (49.8 ng/g), biota (29.7- 44.7 ng/g), water (16.1 ng/ml. PCB118, a dioxin -like congener is detected in almost all samples, at concentrations not exceeding 4.5-24% of Σ 11 pcbs. Concentration of pcbs in sediment samples (49.8 ng/g) exceeded the Canadian pcbs threshold effect level (TEL) of 21.5 ng/g, but were below pcbs probable effect level (PEL) of 189 ng/g. The ocps concentration reported in biota were below FDA Regulatory Action Levels of 0.3 μg/g in Fish. For biota, bioaccumulation factors (BAF) of ocps (23.7-560) were much higher than those of pcbs (0.1-12.9) and pahs (0.1-1.2), with heptachlor epoxide showing the highest mean bioaccumulation factor (BAF). Similar trend was reported for the biota−sediment accumulation factor (bsafs) with values of 0.33 to 5.57 for ocps, 0.11 to 4.53 for pcbs, and 0.16 to 4.47 for pahs. The greatest BSAF values were for DDT metabolites.
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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 | 0.001 | 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".