Estimation of noise levels and hpd attenuation in the workplace using microphones located in the vicinity of the ear
Bibliographic record
Abstract
Noise levels and hearing protection devices (HPD) attenuation were estimated in the workplace using microphones located in the vicinity of the ear. In the first part of the study, tests were conducted in a diffuse field in a reverberant room and in a free field in a semi-anechoic room on 4 subjects with 5 different earmuffs and without earmuffs. In the second part of the study, a controlled simulation of a workplace environment was performed to validate the approximation. The objective was to create a sound field which could be more directional at certain location. The regression lines can be used to correct the earmuff microphone readings as long the source location can be determined. While a difference of 0 dB represents the target to achieve, it is found that applying the proposed correction allows to obtain a reasonable estimate within a ∓2 dB range.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".