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PHYSICAL MODELLING AND DESIGN ASPECTS FOR A NEW MEGA-YACHT MARINA

2014· article· en· W1966019191 on OpenAlex
Scott Baker, Graham Frank, Derek Williamson, Kevin MacIntosh, Andrew Cornett

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCoastal Engineering Proceedings · 2014
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsW.F. Baird & Associates Coastal Engineers (Canada)National Research Council Canada
Fundersnot available
KeywordsBreakwaterRevetmentMarine engineeringBathymetryRange (aeronautics)EngineeringShoreWave heightGeologyGeotechnical engineeringOceanography

Abstract

fetched live from OpenAlex

Extensive preliminary studies and a large-scale 3D physical model study were conducted to support the design of a proposed mega-yacht marina project at Bridgetown, Barbados. A faithful reproduction of the marina, the surrounding bathymetry, and the adjacent shoreline was constructed and used to gauge the performance of the marina in a range of operational and extreme seastates, and to enhance and verify the preliminary designs. The physical model was used to investigate many key issues including: wave agitation within the marina, wave overtopping, wave impact forces, the stability of revetments and scour protection stone, and the behaviour of moored yachts. Notable outcomes of the study included the optimal length and crest elevation along the curved breakwater, the strategic positioning of two piers and a revetment within the marina basin, and the determination of suitable design loads for various breakwater components.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score1.000

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 head0.013
GPT teacher head0.191
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