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Record W1544168695

Cooling-tower noise control for the niagara falls casino

2009· article· en· W1544168695 on OpenAlexvenueaboutno aff
Thomas S. Paige

Bibliographic record

VenueCanadian acoustics · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNoise controlSilencerEngineeringCooling towerNoise (video)TowerStructural engineeringAttenuationMarine engineeringEnvironmental scienceWater coolingAcousticsMechanical engineeringNoise reductionInletComputer science
DOInot available

Abstract

fetched live from OpenAlex

Some of the techniques that were used to reduce noise propagation from the cooling towers of the new casino built on the Canadian side of Niagara Falls are discussed. Available noise control options for the cooling towers included low-noise fans, reduced fan speed, and a number of sound-attenuation components. Some of these components included noise-barrier walls and silencers. The decision was made to provide rectangular absorptive silencers on the cooling tower fan discharge and air intakes. A rectangular silencer design with a circular bullet was used with a pressure drop of 15 Pa. The silencers were constructed with G 90 galvanized steel to resist corrosion from the discharge air, which is 100% saturated with water vapor. Separate structural steel frames were provided to support the weight of the silencers, while the wind loading on the silencers had to be considered in the system design.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.807

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 head0.008
GPT teacher head0.208
Teacher spread0.200 · 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 designNot applicable
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
Published2009
Admission routes2
Has abstractyes

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