Waste water of north-west Russia as a threat to the Baltic
Bibliographic record
Abstract
This paper concerns the issue of ecological safety in the Baltic Sea and the danger caused by the nutrients (nitrogen and phosphorus) issuing from the river basin of north-west Russia. The ecological safety and health of water basins are disturbed when excessive amounts of nitrogen and phosphorus are released from waste water. This results in eutrophication, an increased growth of algae, which causes an imbalance in the ecological system. The cities of Russia’s north-west region lack the funds to renovate their water treatment systems. A solution is to improve the biological water treatment system by introducing a chemical. The main goal of this research is to implement enhanced biological phosphorus removal from domestic sewage. To do this, the authors suggest using waste from the production of sulfuric acid (H2SO4) at the ammophos chemical plant in Cherepovets (iron sulfate and phosphogypsum) as reagents. One advantage of these reagents is their low cost. In addition, this solves the problem of their recycling and increases the ecological safety of the rivers in north-west Russia and, thus, of the Baltic Sea. The high removal efficiency of all types of phosphorus and total nitrogen from waste water is attributable to features of micelle creation during coagulation.
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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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".