Efficiency Analysis of Control Procedures for Operation Systems of Navigation Equipment
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
Navigation equipment in civil aviation is used to provide members of flight activity with information about the coordinates and location of the aircraft. The technical state of navigation equipment affects the risks of air navigation services and air traffic control. Under the influence of various random factors, degradation of the technical state may occur. Therefore, for timely detection of degradation, it is necessary to use monitoring and control procedures. This paper is devoted to the analysis of the effectiveness of navigation equipment control procedures under conditions when a changepoint in the trend of the diagnostic parameter may occur. The main attention is paid to determining analytical equations for the indicators of the control procedure in case of a changepoint and multi-alternativeness during decision-making. The results of the study can be used when designing and modernizing navigation equipment operation systems.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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