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Record W4400286071 · doi:10.1121/10.0026761

Commissioning of National Research Council Canada’s four room flanking facility

2024· article· en· W4400286071 on OpenAlexaffabout
Ivan Sabourin, Jeffrey Mahn, Iara Batista da Cunha, Sabrina Skoda

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2024
Typearticle
Languageen
FieldEngineering
TopicEngineering Structural Analysis Methods
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsProject commissioningFlanking maneuverResearch councilLibrary sciencePolitical scienceEngineeringPublic administrationPublishingComputer scienceLawGovernment (linguistics)

Abstract

fetched live from OpenAlex

The National Research Council Canada has built a new four room flanking facility to expand its capability to test flanking noise transmission across junctions of typical multi-dwelling units. The cast-in-place concrete structure is configured to construct two rooms on top of two rooms. This facility allows various configurations to measure flanking noise: one continuous or two discontinuous floors (or walls) and a common façade (side wall). With the overhead crane, it is possible to install heavy monolithic elements such as precast concrete and cross-laminated timber panels such that are used in mid and high-rise buildings. There are structural breaks between the rooms to reduce unwanted structural transmission and the addition of shielding panels makes this facility capable of measuring flanking of high performing junctions/assemblies. The facility has been designed to meet the requirements of ISO 10848 for both airborne and impact noise transmission. Facility design details and commissioning data will be presented.

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)0.006
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.625
Threshold uncertainty score0.755

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.069
GPT teacher head0.310
Teacher spread0.241 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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Same venueThe Journal of the Acoustical Society of AmericaSame topicEngineering Structural Analysis MethodsFrench-language works237,207