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Record W237639527 · doi:10.5957/mt1.2002.39.2.67

Optimized Design of Small Craft

2002· article· en· W237639527 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

VenueMarine Technology and SNAME News · 2002
Typearticle
Languageen
FieldEngineering
TopicShip Hydrodynamics and Maneuverability
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCrewCraftNaval architectureEngineeringCeiling (cloud)Engineering design processMATLABProcess (computing)Design processProcess designDesign toolSystems engineeringMarine engineeringComputer scienceMechanical engineeringAeronauticsWork in processOperations managementStructural engineering

Abstract

fetched live from OpenAlex

The preliminary design of a small craft can be computerized by a formulation based on optimization, and new design nodes such as crew safety or acceleration levels can be included in the preliminary design (Akinturk 1997). In addition, it is shown that an integrated technical computing environment, such as MATLAB, can be used for the preliminary small craft design, and ergonomic criteria can be included in the design process. This design process, referred to in the text as "MATSHIP," can be easily implemented in design offices. In addition to the preliminary design parameters, which MATSHIP calculates, it obtains a new operational parameter for the permissible ship speed in a sea state for a set ceiling level of crew safety.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.429

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 head0.014
GPT teacher head0.185
Teacher spread0.171 · 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