VALIDATING RIVER BANK FILTRATION APPLICABILITY IN IRAQ AGAINST INTERNATIONAL STANDARDS
Bibliographic record
Abstract
In the framework of assessing the applicability of RBF "River Bank Filtration" technique in Iraq, this research was originated in order to validate its applicability against International Standards, where CCME-WQI "Canadian Council of Ministers of the Environment Water Quality Index" was selected. A previous research results were adopted [1]. Principally, literature was reviewed in the field of RBF applicability verification. The results of the previous research were implemented to calculate the Canadian index, where 17 parameters were selected. These were Turbidity, No2 , So4 , TDS, F, NH3 , Cl, Fe, Res cl, pH, DO, Alkalinity (Caco3), Total Hardness (Caco3), Ca, Mg, Mn and No3. Results were obtained; analyzed and plotted on graphs. From the graphs, apparent was that the WQI values ranged between 87 and 100, which indicated that the WQ "Water Quality" is within the acceptable range of the Canadian Standards that ranked the water quality, as "Excellent". Confident with the validation of RBF applicability, it was further recommended to inspect its sustainability.
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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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".