Aircraft Repair and Withdrawal Costs Generated by Bird Collision with the Windshield
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
According to available data released by the European Aviation Safety Agency (EASA) in the period from 1990 to 2007, more than 94,743 collisions with birds occurred on the territory of US, UK and Canada. In some parts of the world bird population is significantly growing. Also, the number of aircraft operations has increased in recent decades, and more importantly, their increase is expected in the future as well. In these conditions, the number of aircraft collisions with birds is expected to grow. Bird strikes are affecting safety and also generate additional costs in air traffic. This paper will show what type of bird strike costs exist with focus on repair and withdrawal of bird strike costs. Repair and withdrawal costs due to bird strike are specific because they could vary from insignificant amount up to millions of dollars and because of its unpredictability.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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