Road side soils pollution by heavy metals along the expressway between Mansoura and Cairo, Nile Delta, Egypt
Bibliographic record
Abstract
Concentrations of Pb, Cu, Co, Cd, Cr, Ni, and Zn were measured in road side soils samples in two size fractions ( 62.5 µm and 62.5 µm to 1mm). Averages of concentrations of Pb, Cu, Co, Cd, Cr, Ni, and Zn in the road side soil samples along expressway between Mansoura and Cairo compared with Canadian soil quality guidelines (CSQGs) of Canadian Council of Ministers of the Environment.(CCME) and other standard of average shale. Contamination indices and ecological risk indices were analyzed to assess heavy metal contamination of road side soils using single and integrated indices. In this study, contamination factor (CF), ecological risk factor (Er) and index of geo-accumulation (Igeo), as single indices, and the pollution load index (PLI), the degree of contamination (Dc) and the potential ecological risk index (RI), as integrated indices, were calculated. Keywords: Size fractions- Pollution indices-Road side soils- Expressway-CSQGs Concentrations of Pb, Cu, Co, Cd, Cr, Ni, and Zn were measured in road side soils samples in two size fractions ( 62.5 µm and 62.5 µm to 1mm). Averages of concentrations of Pb, Cu, Co, Cd, Cr, Ni, and Zn in the road side soil samples along expressway between Mansoura and Cairo compared with Canadian soil quality guidelines (CSQGs) of Canadian Council of Ministers of the Environment.(CCME) and other standard of average shale. Contamination indices and ecological risk indices were analyzed to assess heavy metal contamination of road side soils using single and integrated indices. In this study, contamination factor (CF), ecological risk factor (Er) and index of geo-accumulation (Igeo), as single indices, and the pollution load index (PLI), the degree of contamination (Dc) and the potential ecological risk index (RI), as integrated indices, were calculated. Keywords: Size fractions- Pollution indices-Road side soils- Expressway-CSQGs
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 teacher head, 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".