Spatio-temporal distribution and sources of polycyclic aromatic hydrocarbons in Tunis Lagoon: Concentrations in sediments and Marphysa sanguinea body and excrement
Bibliographic record
Abstract
Despite international recognition as an important coastal wetland, Tunis Lagoon is still subjected to anthropogenic pressures. This article provides valuable data on the spatio-temporal distribution, toxicity, and origins of polycyclic aromatic hydrocarbons (PAHs) in the Tunis Lagoon complex. PAHs' concentrations were measured in Marphysa sanguinea body and excrements, as well as in surface sediments. Total mean PAHs' concentrations reached a maximum of 2398 ng/g dry weight (DW) in sediments, 1007.19 ng/g DW in M. sanguinea, and 2602.05 ng/g DW in excrements. Diagnostic PAHs' ratios were used to determine whether PAHs' origins were pyrogenic or petrogenic. Our data showed a predominance of PAHs with a pyrogenic source. Principal component analysis showed PAHs isolated from polychaetes clearly separated from those measured in sediment and excrement. We believe that sediments are not the main source of bioaccumulation by M. sanguinea. Moreover, the toxicity of PAHs in sediments is moderate to high for benthic organisms.
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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) | 0.001 | 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".