Water Quality index in Tigris River within Baghdad City
Bibliographic record
Abstract
This study has been provided to assess the stream water for Tigris River within Baghdad city included five sites Thiraa-Tigris (S1), Al-Muthana bridge (S2), Al-Shuhadaa bridge (S3), Al-Doraa (S4) and meeting place in the Diyala river (S5) and the study extended to stations south of Baghdad city.Ten parameters of water quality were used in this study, Total Hardness (TH), Calcium (Ca), Hydrogen Ion concentration (PH), Chloride (Cl), Magnesium (Mg), Nitrate (NO3), Sodium (Na), Boron (B), Turbidity (TUR) and Sulfate (SO4).The assessment of water quality for river water was done using three methods, Weighted, Arithmetic, Water Quality Index Method (WA WQI), Canadian Council of Ministry of Environmental (CCME WQI), and the third water quality method developed by Erdenebayar.Overall water quality index by the three methods showed Poor to Unsuitable quality index in Tigris River at Baghdad city except for Al-Muthna bridge (S2) was grade good quality index during the time period.From the analysis, it was found that the worst water quality index at the confluence point of Diyala river (S5) and grade unsuitable quality index.
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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) | 0.000 | 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".