Water quality assessment of Al-Sabil River, Iraq using of CCME index
Bibliographic record
Abstract
The study aimed to determine the water quality of the Al-Sabil River using the Canadian Water Quality Index (CCME WQI). The study was performed by measuring some physical and chemical properties in four selected sites that extend in three provinces including Najaf, Al-Diwaniyah, and Al-Muthanna for a distance of 114 km for six months from August 2022 to January 2023. The results revealed that the average physical and chemical properties, including water temperature, pH, and EC were 19.33-25.33?, 7.25-7.54, and 1138-2510 µs/cm, respectively. The total suspended solids and turbidity recorded 1261-1676, 30.1-47.78, respectively. The DO and BOD have been recorded at 6.417-7.1, and 3.467-6.133 mg/L respectively. The total hardness, Ca, and Mg were 630-853.3 mg/L, 146.3-192.7 mg/L, and 87.39-236.19 mg/L, respectively. The phosphate, nitrite, and nitrate (mg/L) were 0.591-0.887, 0.486-1.539, and 1.772-6.921, respectively. The results of the study using the Canadian model water quality index (CCME WQI) showed that the lowest rate was 44.35 showing a poor condition in the first site and the highest rate was 51.41 as a marginal condition in the 3rd site.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".