Water Quality Assessment of AL-Mahawil Stream/Babylon/Iraq Using Canadian Water Quality Index
Bibliographic record
Abstract
Abstract This study aimed to know the water quality in Al-Mahawil stream which is a stream from Euphrates River in Babylon governorate by using Canadian water quality index by determining the values of the most important physical and chemical parameters in water stream after taken three study sites along the stream [site 1 (S1), site 2 (S2), site 3 (S3)]. the data was determined seasonally after collection the samples monthly from December 2021 to November 2022. The results first finding out whether the values of these parameters within or above of Iraqi limiting standards of drinking water after that the Canadian water quality index (WQI) has been calculation, then determined if water stream can possibly directly used for drinking purpose or other uses. Generally, results pointed that some of physical and chemicals parameters were in Iraqi permissible limiting of drinking water, while others parameters were above Iraqi limiting standard. Also, the results showed that WQI for Al-Mahawil stream after used all study parameters for calculating was marginal and cannot used directly for drinking purpose. Also, results showed there was a significant differentiation among some parameters with positive correlation coefficients among it.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".