Assessment the Quality Number of Well Water on the Left Side of the City of Mosul / Iraq and its Suitability for Drinking Using the Canadian Water Quality Index.
Bibliographic record
Abstract
The current study was conducted on 10 wells of water located within the city of Mosul / on the left side. The quality of this water was evaluated to determine the number of physical and chemical properties, including acidity, turbidity, total dissolved salts, total alkalinity, nitrates, chlorides, phosphates, calcium, magnesium, and sulfates. The current study showed that the values of total dissolved solids and sulfate rates for well water ranged between 155-1150 mg/L, and 226-1037mg/L, respectively, and the acidity function rates ranged between 7-7.6, which are within The appropriate determinants of drinking according to the specifications of the World Health Organization, while the average values of turbidity ranged between 0.5-21 N.T.U, and the nature of the geological formations of the study area had an impact on the concentration of calcium and magnesium, as well as the chlorides and total alkalinity where the concentration rate ranged Between 29-325, 16-89, 20-259 and 179-366 mg/L, respectively. The results of the current study showed that wells water for drinking purposes, according to the Canadian Water Quality Index (CWQI), varied between (doubtful - good).
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".