A concept of transition to the best available technology as a basis for sustainable development of power industry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The high level of the negative impact on the environment in the Russian Federation remains steady for many years. Significant and specific contribution to the current level of pollution is made by the companies of the energy sector, which is among the top three in terms of the negative impact on the environment. The planned transition to technological regulation system is based on the use of the best available technology (BAT). The concept formation of the transition to BAT is a challenge for the industry. The basis of the concept is the unified approach development, harmonized with the European approaches, Russian practice and methodological guidelines for BAT identification, which will facilitate informational and technical implementation of BAT in the economy entities of the energy sector. To solve this problem, the authors developed a model for BAT implementation, using a step-by-step logical approach to decision-making. This approach is based on a comparison of the environmental protection measures effectiveness with costs that the economic entity should bear to avoid or minimize man-made impact in normal conditions of management, that is, before BAT introduction. The economic expediency evaluation of the technology in a particular industry is an integral part of BAT implementation concept.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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