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Record W1516179454

The effect of ancillary volume on sound transmission measurements using ASTM standard test method E336

2006· article· en· W1516179454 on OpenAlexaffvenue
Frances King, Trevor Nightingale

Bibliographic record

VenueNPARC · 2006
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsVolume (thermodynamics)Sound transmission classAcousticsSound pressureSound (geography)Transmission (telecommunications)EngineeringTelecommunicationsPhysics
DOInot available

Abstract

fetched live from OpenAlex

The effects of ancillary volume on sound transmission measurements by ASTM Standar E336-05 to access airborne sound isolation, are described. The ancillary volume is required to be disregarded if the average sound pressure level in the ancillary volume is more than 6. Different field scenarios are simulated using the four-room Flanking Transmission Facility at the NCR/IRC. The effect is considerably less when the ancillary volume is highly absorptive relative to the receive room principal volumes. The difference in the ALT with and without an ancillary volume is a function of two parameters. The first one is space-average level between the principal and ancillary volumes, and the second is sound field measurements associated with the ancillary volume. Estimates of the ALT is obtained using sound field measurements restricted to the principal volume when the difference in space average level between the principal and ancillary volume is more than 4 dB.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.044
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.283
Teacher spread0.262 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2006
Admission routes2
Has abstractyes

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Same venueNPARCSame topicAcoustic Wave Phenomena ResearchFrench-language works237,207