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Record W2993043103

Sound transmission loss of insulating complex structures

2001· article· en· W2993043103 on OpenAlexafffundvenue
Sebastian Ghinet, Noureddine Atalla

Bibliographic record

VenueCanadian acoustics · 2001
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsUniversité de Sherbrooke
FundersNatural Sciences and Engineering Research Council of CanadaInstitut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail
KeywordsOrthotropic materialSound transmission classTransmission lossCurvatureTransfer-matrix method (optics)Materials scienceTransfer matrixStructural engineeringTransmission (telecommunications)AcousticsSound (geography)Layer (electronics)Matrix (chemical analysis)Finite element methodComposite materialComputer scienceEngineeringGeometryPhysicsTelecommunicationsMathematicsOptoelectronics
DOInot available

Abstract

fetched live from OpenAlex

Analytical and numerical modeling of the structural vibration and acoustic phenomena are essential tools in the design work of aeronautical, automotive or architectural fields.Being easier to use and faster, the analytical models are sometimes preferred to the numerical models.In spite of these qualities, the use of the analytical models is limited to the study of simple geometrical configuration; For instance, the wave approach used in the context of laterally infinite structure is very difficult to extend and implement for complex structures.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.030
GPT teacher head0.253
Teacher spread0.223 · 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

Citations15
Published2001
Admission routes3
Has abstractyes

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