WATER QUALITY ASSESSMENT ON SANITARY-HYGIENIC PARAMETERS OF NEMAN RIVER AT BALTIC POWER PLANT (UNDER CONSTRUCTION) REGION
Bibliographic record
Abstract
Using surface water objects for water supply and disposal systems of nuclear power plants (NPP) produces a complex of problems concerned with environmental and health protection. Sanitary-hygienic (including hydrochemical and micro-biological) parameters and natural water toxicity are studied at Neman river, as the river is planned to be a cooling pond of Baltic NPP, which is under construction. Water quality assessment is done based on the observed data during 2011–2016. Observations have shown high variety of river condition during the year (seasonal variations) with not good enough water quality parameters for water supply purposes over the most part of the year. To obtain water with high organoleptic indicators and an acceptable level of risk in terms of chemical and microbiological composition for water supply system, a complex of methods for water purification, post-treatment and disinfection should be applied. Although, it is shown, that natural waters of the Neman river within the Kaliningrad region should be considered not to have a toxic effect on aquatic organisms.
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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) | 0.001 | 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".