Statistical analysis for water quality index for Shatt-Al-Hilla river in Babel city
Bibliographic record
Abstract
Abstract The work aims to investigate the Water Quality Index (WQI) of the Shatt-al-Hilla River, a branch of the Euphrates river in Babel city, Iraq. Twelve important and influential parameters were taken into account to evaluate the WQI, namely the temperature of water (Temp), total hardness (TH), electrical conductivity (EC), acidity (PH), total dissolved solids (TDS), sulfate (So4−2), calcium (Ca+2), magnesium (Mg+2), sodium (Na+1), biological oxygen demand (BOD), potassium (K) and turbidity. Raw and treated water quality was evaluated using two models, Weighted Calculation and Canadian Cabinet for the Environmental Water Quality Index (CCME WQI). The study area included three water treatment plants, namely New Hilla (NH), Al-Hussein (HE), and Al- Hashimyah (HA), which discharge their treated water into the Shatt-al-Hilla river. Raw and treated water samples were collected and tested regularly for nine months, from October 2020 to June 2021. The results showed all chemical and physical parameters (for both raw and treated water) met the Iraqi standards except Ca+2, turbidity and EC for raw water and temperature for treated water.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".