Improving the Efficiency of Fuel Usage in New Coal Technologies
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 increase of the fuel usage efficiency by application of new coal technologies, modern automation and control meanings were considered in the paper. The results of comprehensive researches of promising coal technology efficiency are given. It is shown that their efficiency is 1,15-1,7 times higher than conventional coal unit one. The parameters deviation influences on fuel overexpenditure at unsteady state were researched. It provides exact cause-and-effect relation between automation means and fuel expenditure of thermal power plant. Unit operation on boiler stored energy at emergency is researched. It is shown that the automation reduces significantly recovery time of unit normal load thereby it reduce the damage caused by emergency. Besides there were shown the effect of power generating equipment on environment, social infrastructure and health care. There are given reasonable ratio between infrastructure and health care costs that occur in a big city where thermal power plant was installed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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