Evaluating the Water Quality of Al-Chibayish Marsh, Southern Iraq by Using the Canadian Index CCME-WQI
Bibliographic record
Abstract
Al-Chibayish Marsh is one of the most important marshes located in southern Iraq. Many sewage plants discharging into the marsh and affect its water quality. The present study aims at evaluating the water suitability for drinking, irrigation and other domestic uses. Water samples were collected monthly from six stations in the marsh during August 2018 to July 2019. Twenty variables were monitored to apply the Canadian index, there are including water temperature, pH, turbidity, electrical conductivity, total suspended solids , total dissolved solids, dissolved Oxygen, biological oxygen demand, total hardness, Calcium, Magnesium, Nitrate, active Phosphate, Sulfate, Chloride, Sodium, Potassium, Sodium adsorption ratio, Boron and fecal coliform bacteria. The findings showed that the water of Al-Chibayish Marsh was marginal to poor for general uses, while it was poor for drinking or irrigation at all stations. The Iraqi Marshes Protection Law against pollution must be enforced to prevent the obvious deterioration of the marsh water to improve its quality.
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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 | 0.001 | 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".