Nose conedevice and built-in calibration check as essenti al features of a standalone instrument for unattended mid- And long-term noise measurements
Bibliographic record
Abstract
The article examines how the nose cone device and built-in calibration check are essential features of a stand alone instrument for unattended mid- and long-term noise measurements. Environmental noise generated by ground transportation, construction sites or recreational activities, is coming from all directions, and such multiple sources are usually located at random positions with respect to the measurement point. JEC 61672-1 gives directional response requirements for the configuration of a sound level meter as stated in the instruction manual for the normal mode of operation or for those components of a sound level meter that are intended to be located in a sound field. In unattended noise measurement situations, the direction from the source is generally unknown. Apart from aircraft noise, the sources are located on the ground. Taking into account the acoustic front end design at the early stage of the development allowed determining and optimizing the constraints: position of the microphone, shape of the body of the sound level meter, cone and wind screens characteristics.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".