Evaluation of the vibration characteristics and handle vibration damping of diesel-fueled 15-HP single-axle tractor
Bibliographic record
Abstract
Attenuation of vibration transmitted from a single-axle tractor to a human hand results in a better operating environment, enhanced production performance, and decreased user pain. The purpose of this work was to attenuate the hand-transmitted vibration of a single axle tractor using a vibration damper made from a rubber compound. After the damper was installed, the vibration measurements were done for the second and third gears and compared to the undamped vibration. When the vibration measured with the second gear after the rubber dampers were mounted was compared to the vibration measured before application of damping, the upright, forward, and lateral directions of vibration showed 42%, 39%, and 46% reductions, respectively. In the third gear, the decrement was 46%, 29%, and 50% in the upright, forward, and lateral directions, respectively. The latency periods after application of the vibration damping show an increment of 2.55–4.76 years with second gear, and from 2.2 to 4.17 years with third gear. This reflects an increase of 89% and 90% with second and third gears respectively.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".