Understanding sources and sound radiation of a snowmobile track
Bibliographic record
Abstract
This paper investigates snowmobile noise, more specifically the system composed of the track, the suspension and the tunnel. Two series of tests were made to understand the snowmobile track noise. The first used the Plackett and Burman design of experiment in order to identify the most important factors in the sources of vibration. In the second, isolated tests were carried out to evaluate the importance of the sound radiation and dynamics of the track and to understand the role of the snowmobile tunnel in the acoustic response of the system. The first part shows that the most important excitation source is the passage of the studs of the track between the guide wheels and the ground. This excitation propagates in the suspension on which the tunnel of the snowmobile is attached. The second part shows that the sound radiation and the dynamics of the track are not important issues in the studied system. Depending on the track speed, the system has two preferred ways to generate noise: airborne noise from the suspension itself and structural sound radiation from the tunnel.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".