ASSESSMENT OF THE CHEPINSKA RIVER WATERS QUALITY THROUGH THE COMBINED USE OF DIFFERENT INDICES
Why this work is in the frame
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Bibliographic record
Abstract
The article analyzes and evaluates the current status of the water quality of the Chepinska River. It is one of the main right-hand tributaries of the Maritsa River, and large settlements are located in its catchment area and active agricultural activity is carried out. They cause a strong anthropogenic impact and a significant change in water quality. The heterogeneous impact requires the assessment to be carried out by using a complex of indices that includes the Canadian Water Quality Index (CCME WQI), the Bavarian Pollution Index (CJ) and the water oxygen balance index used in the BENILUX countries. The assessment was made according to more than 10 chemical indicators, such as dissolved oxygen, ammonium nitrogen, electrical conductivity, BOD5 and others. The data were obtained from the National Water Monitoring System, at 4 points along the main river and its tributaries, for the period 2015-2022. The reference values for the maximum permissible concentration of polluting substances are in accordance with Regulation N-4 of 2012. Significant water pollution is observed after the settlements, as a result of waste water from urban sewage and agricultural activity. Poor water quality is mainly observed in local sections of the river course. In the lower reaches of the river, the water quality improves significantly.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.003 |
| 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 it