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Record W1921673417

Transmission loss of ultra lightweight concrete block

2006· article· en· W1921673417 on OpenAlexvenueno aff
Frank Babic

Bibliographic record

VenueCanadian acoustics · 2006
Typearticle
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsnot available
Fundersnot available
KeywordsBlock (permutation group theory)MasonryTransmission (telecommunications)Transmission lossField (mathematics)Structural engineeringSound transmission classMaterials scienceEngineeringAcousticsEnvironmental scienceTelecommunicationsMathematicsCivil engineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

Transmission loss of ultra lightweight concrete block were measured in-situ and the FSTC (Field Sound Transmission Class) was established using the ASTM Standards.. Block wall constructions that were investigated include the untreated block, conditions with the block sealed and batt insulation installed on one side. The field STC performance was compared to earlier laboratory test results of Northwood and Monk [6] as well as predicted performance provided by National Concrete Masonry Association methods [2]. The field transmission loss of the ulta lightweight block showed that low field STC ratings are realized, due to the porous nature of the block, and that the block must be sealed to provide high field STC ratings. Further, the results showed that regression equation of Reference 2 is seen to provide an over-estimation of the STC rating for unsealed ultra lightweight block.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.005
GPT teacher head0.183
Teacher spread0.178 · 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 designObservational
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 routes1
Has abstractyes

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