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Record W2184462241

Comparative Field Test Evaluation of the Impact Insulation Class of Roofs

2015· article· en· W2184462241 on OpenAlexaffvenue
Jose R. Rodriguez, Maureen Connelly

Bibliographic record

VenueCanadian acoustics · 2015
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsBritish Columbia Institute of Technology
Fundersnot available
KeywordsRoofDeckAmenityGreen roofReflective surfacesEngineeringStructural engineeringNoise (video)Civil engineeringEnvironmental scienceArchitectural engineeringForensic engineeringComputer scienceMathematics
DOInot available

Abstract

fetched live from OpenAlex

Building structures can be excellent transmitters of impact noise.  As urban density increases, the use of rooftops to regain exterior private and/or public spaces escalates. Noise generated on the roof due to mechanical units, maintenance personnel and amenity uses is usually underestimated and not considered in building design. Consideration of the insulation of impact noise is of great importance particularly when the roof is a light weight structural system. C measures were performed on the exposed membrane of a conventional light weight roof; and with pavers, wood deck, 75mm depth green roofs and 150 mm green roof. The IIC of the green roofs were 20 higher than the exposed membrane and 14 - 20 higher than traditional roof deck materials.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.098
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.085
GPT teacher head0.330
Teacher spread0.245 · 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 designSimulation or modeling
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

Citations1
Published2015
Admission routes2
Has abstractyes

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