Siting and Planning for the Ground Run-up Enclosure (GRE) at Billy Bishop Airport
Bibliographic record
Abstract
There are requirements that after aircraft maintenance has been completed, engines are required to be tested at take-off power to ensure the proper operation of the aircraft. These activities can be as short as five (5) minutes but can last much longer, and are generally known as a Ground Run-Up in the aviation industry. At an engine’s full power, the noise generated can be significant, and for an airport in proximity to neighbouring communities, the noise has the potential to disturb. To address this concern, Billy Bishop Toronto City Airport (BBTCA) operator, Ports Toronto retained Aercoustics to assist in the siting and impact of a Ground Run-up Enclosure (GRE). A Ground Run-Up Enclosure is a specially designed enclosure for the aircraft to conduct ground run-ups while minimizing noise to neighbouring to sensitive areas. This paper will discuss the process in determining the location of the GRE and the modelling of the impacts, with final results of the construction and post-construction measurements.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".