Evaluation of Tigris River water quality within Baghdad City using the CCME index for various purposes
Bibliographic record
Abstract
This study evaluated the Tigris River's water quality in Baghdad City for four different purposes, including drinking water supply, aquatic life, and agricultural requirements using Canadian WQI. The evaluation is based on data collected over 2021 and 2022. The parameters of water temperature, turbidity, total dissolved solids, pH, DO, nitrate, nitrite, ammonia, phosphate, chloride, fluoride, magnesium, calcium, sulfate, sodium, magnesium hazard (MH), and sodium adsorption ratio (SAR) were measured for index CCME calculation. The results indicated that water temperature and turbidity are the variables that crossed standard guidelines for aquatic life protection, ranked within fair quality. In contrast, water temperature, turbidity, and TDS are the variables that exceeded the allowable levels for overall water quality, mainly ranked within a good class. For drinking water purposes, turbidity and Ca are among the parameters that fall outside the acceptable limits, rated between marginal and fair class.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".