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Record W2323910964 · doi:10.1142/9789814277426_0230

SURFACE GRAVITY WAVE INTERACTIONS WITH DEEP-DRAFT NAVIGATION CHANNELS – PHYSICAL AND NUMERICAL MODELING CASE STUDIES

2009· article· en· W2323910964 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeophysics and Sensor Technology
Canadian institutionsCanadian Cardiovascular Society
Fundersnot available
KeywordsHullSurface waveSurface (topology)GeologyComputer scienceMarine engineeringAerospace engineeringEngineeringTelecommunicationsGeometryMathematics

Abstract

fetched live from OpenAlex

This paper addresses the interactions between surface gravity waves and deep-draft and wide navigation channels with steep side slopes, through numerical and physical modeling case studies. The underlying physical processes are illustrated and the consequences to port master planning, harbor agitation and design of coastal structures in proximity to navigation channels are discussed through detailed analysis of numerical and physical model response to the channel. A comparative evaluation of several numerical modeling paradigms exposes the strengths and limitations of each formulation when applied to describe such interactions. The consequences to the planning of numerical and physical modeling studies are discussed. To the authors ’ knowledge, this is the first comprehensive evaluation of wave-channel interactions with bathymetric gradients that define the steep side slopes of navigation channels that are becoming increasingly common in the continued expansion and design of existing and new ports and harbors.

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 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 score0.057
Threshold uncertainty score0.375

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 head0.020
GPT teacher head0.260
Teacher spread0.240 · 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

Quick stats

Citations5
Published2009
Admission routes1
Has abstractyes

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