Evaluation of the performance of multiple water quality loading index systems for Sapgyo River
Bibliographic record
Abstract
To enhance the sustainability of [the] water-quality-management system, the modeling results of simulated pollutants are needed to translate into an understandable single unit water quality index to help decision-makers. QUAL2E model is helpful in translating the results of simulated pollutants into a single water quality rating unit termed as "QUAL2E water quality loading index (QUAL2I)". This approach is adopted to evaluate the performance of National Sanitation Foundation’s Water Quality Index (NSFWQI) and Canadian Council of Ministers of the Environment’s Water Quality Index (CCMEWQI) using data set of Sapgyo River. CCMEWQI results are found better, especially for meeting the desired quality objectives. Additionally, a decision-making process has been suggested based on better found QWQLI result to maintain the whole river channel at acceptable water quality standards. The study results imply that further study should be carried out using [a] minimum [of] four variables, each having at least four test samples to compute QWQLI using CCMEWQI approach.
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How this classification was reachedexpand
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 | 0.004 | 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 | 0.001 |
| 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 teacher head, 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".