MétaCan
Menu
Back to cohort
Record W4412083998 · doi:10.1177/1351010x251343252

Apparent impact sound insulation performance of raised discrete floating assemblies on mass timber floors

2025· article· en· W4412083998 on OpenAlex
Peter Zhao, Chenyue Guo, Jianhui Zhou

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBuilding Acoustics · 2025
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsUniversity of Northern British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Northern British Columbia
KeywordsSound (geography)SoundproofingAcousticsEnvironmental scienceComputer sciencePhysics

Abstract

fetched live from OpenAlex

Mass timber panels are increasingly used in mass timber and hybrid construction projects for efficient off-site construction. Conventional continuous floating concrete toppings often struggle to achieve an apparent impact insulation class (AIIC) above 55 when tested according to ASTM standards. This study explores the impact sound insulation of raised discrete floating floor assemblies on cross-laminated timber (CLT) and dowel-laminated timber (DLT) floors through experimental testing. The study found that a raised discrete floating floor, constructed using commercially available dry materials such as oriented strand board (OSB), cement board, and gypsum board, significantly improved impact sound isolation and reduced the need for thick concrete layers. Interestingly, increasing the thickness of the floating concrete topping from 38 to 100 mm had minimal effect on sound insulation. Instead, cement boards provided an effective alternative, achieving an AIIC rating of 65 and offering a dry solution for improving sound insulation in timber construction.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.259
Teacher spread0.247 · 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