Rotorcraft noise model (RNM) and acoustic repropagation technique (ART2) validation and application using CH-146 (Bell 412) measurement data
Bibliographic record
Abstract
A series of acoustic measurements were conducted at Moose Jaw Canadian Forces Base, Saskatchewan, Canada in June, 1998 for obtaining detailed noise data on a large array of ground- and crane-based microphones for a CH-146 helicopter. The project, conducted by the North Atlantic Treaty Organization (NATO) Committee on the Challenges of Modern Society was to define test procedures and analysis methods for the standardization of a NATO rotorcraft noise database. Four independent microphone arrays were deployed by the USAF, NASA, RAF, and DERA. Data from the USAF and NASA arrays were used to validate the Rotorcraft Noise Model (RNM). USAF data were processed via an updated acoustic repropagation technique (ART2) to define the rotorcraft broadband sound hemispheres. The source noise was then propagated to the measurement locations using RNM. Agreement with the original USAF measurements demonstrated consistency of the ART/RNM process. Agreement with the independent NASA measurements provided validation of the RNM as a prediction tool.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".