WATER QUALITY ASSESSMENT OF THREE DOMESTIC WATER SOURCES OF AWKA AND NNEWI TOWNS OF ANAMBRA STATE, NIGERIA
Bibliographic record
Abstract
The purpose of this study is to determine the quality of water samples from Nnewi and Awka areas and to ascertain their health risk and safety for human consumption. In this study the Canadian Council Water Quality Index [CCME WQI] methodology was used to determine borehole, well, and rainwater samples collected from Awka and Nnewi towns of Anambra. Nine parameters were used for the evaluation, namely: pH, electrical conductivity [EC], nitrates [NO3-], sulphates [SO42-], chlorides [Cl-], Copper [Cu], Iron [Fe], Lead [Pb] and Zinc [Zn] from 60 water samples. CCMEWQI values showed that the water samples were “Good”, therefore making the water samples gotten from these metropolises safe for human consumption.
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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 | 0.001 |
| 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) | 0.000 | 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".