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Record W2065554480 · doi:10.1121/1.3587778

Laboratory experimental investigation of the acoustical characteristics of vegetated roofs.

2011· article· en· W2065554480 on OpenAlexaff
Maureen Connelly, Murray Hodgson

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2011
Typearticle
Languageen
FieldEngineering
TopicHygrothermal properties of building materials
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMaterials scienceWater contentNoise reduction coefficientSubstrate (aquarium)Decoupling (probability)MoistureEnvironmental scienceAbsorption (acoustics)Absorption of waterIntensity (physics)Sound transmission classPorosityComposite materialSoil scienceAcousticsOpticsGeotechnical engineeringGeology

Abstract

fetched live from OpenAlex

A laboratory-based experimental investigation was made of the sound-absorption and sound-transmission characteristics of vegetated roofs and/or their components. Impedance-tube measurements of the normal-incidence absorption coefficients of different substrates were related to their physical characteristics, finding that percentage organic matter, volumetric water content, and compaction are the key influencing factors. Spherical-decoupling-method measurements of the normal-incidence absorption coefficients of different thicknesses of substrate without and with vegetation showed that the absorption of substrates tends to increase with frequency, substrate depth, and to decrease with moisture content and vegetation. Sound-intensity measurements of the green roofs with different thicknesses of dry or wet substrate without and with vegetation, made in a purpose-built facility, showed that transmission loss increased rapidly with frequency, and increased with substrate depth and water content.

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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.214
Teacher spread0.197 · 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 teacher head, 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

Citations4
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of the Acoustical Society of AmericaSame topicHygrothermal properties of building materialsFrench-language works237,207