Applied of CCME Water Quality Index for Protection of Aquatic Life in the Tigris River within Baghdad city
Why this work is in the frame
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Bibliographic record
Abstract
In the present study, Tigris River within Baghdad city was monitored for a variety of physical and chemical parameters to determine water quality during 2010. Water quality indices (WQIs) were calculated for protection of aquatic life, using the model of CCME WQI (Canadian Council of Ministers of the Environment Water Quality Index). Twelve parameters were selected namely: Lead, Iron, Zinc, Manganese, Turbidity, pH value, Dissolved Oxygen, Water Temperature, Phosphate, Ammonia, Nitrate and Nitrite. The results revealed that station 3 which was located in south of Baghdad was more polluted than the other stations. The WQI ranking was between marginal in station 1, 2 to poor in station 3. The highest deviation occurred in lead, Iron and Turbidity, this parameter made a big contribution in decreasing the value of WQI.
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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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it