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Record W2032496583 · doi:10.1121/1.1593064

Primary microphone calibration system stability (L)

2003· letter· en· W2032496583 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2003
Typeletter
Languageen
FieldEngineering
TopicFlow Measurement and Analysis
Canadian institutionsCanadian Standards Association
Fundersnot available
KeywordsMicrophoneCalibrationStability (learning theory)AcousticsSensitivity (control systems)Environmental scienceRemote sensingPhysicsComputer scienceGeologyEngineeringElectronic engineering

Abstract

fetched live from OpenAlex

The stability of a primary microphone calibration system is investigated. In connection with the intercomparison on the calibration of type 4160 LS1P laboratory standard microphones involving the national laboratories of five countries, the pilot laboratory in Canada collected data over a period of 31 months. The measurements were made in a chamber with controlled environment at the reference condition of 23 °C, 101.325 kPa and 50% R.H. The microphone sensitivity levels were measured at seven frequencies from 125 to 8000 Hz. Over the above period the stability of the primary microphone calibration system was approximately 0.01 dB that included the stability of the transfer standard microphones.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.641
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.183
Teacher spread0.172 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it