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Record W6947759731 · doi:10.4224/21272062

Seakeeping and added power tests of the preliminary design (model IOT907) of DND Joint Support Ship

2012· report· en· W6947759731 on OpenAlexaffvenue

Bibliographic record

VenueNPARC · 2012
Typereport
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsNational Research Council CanadaInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsSeakeepingTowingSea stateSlammingHead (geology)PropellerJoint (building)Naval architecture

Abstract

fetched live from OpenAlex

This report describes the experiments carried out on a 1:29.69 scale fully appended model of the Preliminary Design of the Joint Support Ship (JSS) in the Oceans, Coastal and River Engineering (OCRE) Towing Tank in November - December 2011. The purpose of these experiments was to evaluate the performance of this design of the JSS in terms of its sea-keeping and added power in waves. Experiments were done at the End of Life (8.2 m draft) condition. Seakeeping tests in head seas were done at 12, 15 and 18 knots in sea state 5H, 18 knots in sea state 5 and in following seas at 15 knots in sea state 5. Added power experiments were done in head seas at 15 and 20 knots in sea state 3. Probability of slamming and propeller emergence was assessed at 18 knots in sea state 5 head seas. Roll, pitch and heave decay experiments were done to characterize the viscous damping of the ship.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.059
GPT teacher head0.254
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2012
Admission routes2
Has abstractyes

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