CWQI index as quality indicator of surface water - An approach on the Olt River, Romania
Bibliographic record
Abstract
This work aims at assessing the pollution degree of the Olt River (Romania), based on the Canadian Water Quality (CWQI) index, by monitoring twenty twos locations along the middle and south part of the river basin for a period of four months, from March to October, during 2018. A comprehensive physico-chemical analysis involving major cations (Ca2+, Mg2+, Na+), anions (Cl-, SO42-, N-NO3--) and general parameters (pH, electrical conductivity, total dissolve solids) was performed for this purpose. Results demonstrated that CWQI values classified the water in the investigated sectors of the river as fair (values between 66.08 to 79.05), marginal (56.22 to 64.63) and good (value of 85.60). This method appears to be more systematic and provide comparative evaluation of the water quality in different seasons of the year. The results showed that there is a large variations in the parameters in different sections of the river due to different anthropogenic factors. Therefore, this index may be helpful as marker for the public to better understand the quality of water, but also as tool for water quality management.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".