Final report on supplementary regional comparison SIM.AUV.A-S2: calibration of pistonphone
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This document is the Final Report of the Inter-American Metrology System supplementary comparison on pistonphone calibration SIM.AUV.A-S2. Seven national metrology institutes participated on this comparison: CENAM/Mexico, INACAL/Peru, INMETRO/Brazil, INTI/Argentina, LACOMET/Costa Rica, NIST/USA and NRC/Canada and INMETRO was the pilot institute responsible for its coordination. One pistonphone was circulated among the participants to carry out calibrations according to the international standard IEC 60942:2017 using both LS1P and LS2P measurement microphones. Beyond the mandatory measurement of the sound pressure level, it was requested to the participants report measurement results of frequency, total harmonic distortion and total distortion + noise for the purpose of investigation. For sound pressure level and frequency measurement results, supplementary comparison reference values (SCRVs) were determined using the weighted mean method and the corresponding degrees of equivalence obtained between each participant and the SCRV are presented. For total harmonic distortion and total distortion + noise measurements, SCRVs were not calculated and the values reported by participants are compared with the calculated arithmetic mean and weighted mean values. Overall, the supplementary comparison SIM.AUV.A-S2 was considered successful and fits its purpose. Main text To reach the main text of this paper, click on Final Report . Note that this text is that which appears in Appendix B of the BIPM key comparison database kcdb.bipm.org/ . The final report has been peer-reviewed and approved for publication by the CCAUV, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it