Evaluation of raw water quality in Wassit governorate by Canadian water quality index
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this work an attempt has been done to evaluate the raw water quality in Wassit Governorate by using Canadian Council of Ministers of Environment Water Quality Index (CCME WAI). Six stations along Tigris River were located and the field work was conducted during one year from October 2015 to September 2016 in collecting data. Twelve water parameters were used to evaluate the water quality index (pH, turbidity, total dissolved solid, total alkalinity, total hardens, nitrate, calcium, sodium, potassium, magnesium, chloride, and sulfate). The raw water quality in Wassite Governorate has been ranged between (65-79) based on CCME WQI results, which means that the river has not been in its good condition, and need to be manage to control the sources of pollutants by monitoring to keep them in their natural condition.
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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 | 0.006 | 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) | 0.016 | 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 it