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Record W2461553549

Sound and Vibration in Buildings and the Environment: RWDI

2016· article· en· W2461553549 on OpenAlexvenueaboutno aff
Peter VanDelden, David Arthurs, Shayne Love, Mihkel Toome

Bibliographic record

VenueCanadian acoustics · 2016
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSiegeSound (geography)HumanitiesEngineeringArchitectural engineeringGeographyArtAcousticsPhysicsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

RWDI is a specialty provider of consulting engineering and science.  In addition to offices in Guelph, Toronto and Hamilton it has offices across Canada and globally. The company is recognized internationally for its work to push the boundaries of engineering and practical scientific knowledge.  Sound and vibration at RWDI spans the company’s subject areas of environment, buildings, wind load and its effects.  This article illustrates some types of sound and vibration work conducted at RWDI. RWDI est un fournisseur de services specialises et expert-conseil en ingenierie et autres sciences, ayant un siege social situe a Guelph et possedant plusieurs bureaux satellites partout au Canada et dans le monde.  RWDI est mondialement reconnu comme etant une entreprise qui pousse les limites d’ingenierie et des sciences. Chez RWDI, l’expertise en  bruit et vibrations se retrouve dans plusieurs de nos domaines de services, soit par exemple, l’environnement, les bâtiments et les effets de charges dues aux vents.  Cet article illustre les differents types d’etudes sur le bruit et les vibrations menees par RWDI.

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)0.000
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 score0.289
Threshold uncertainty score0.149

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 head0.004
GPT teacher head0.154
Teacher spread0.151 · 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

Citations0
Published2016
Admission routes2
Has abstractyes

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