MétaCan
Menu
← Back to cohort
Record W6966368081 · doi:10.4224/8895627

Description of seakeeping experiments carried out on CCGA Atlantic Swell Model IOT651

2005· report· en· W6966368081 on OpenAlexvenueaboutno aff

Bibliographic record

VenueNPARC · 2005
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSeakeepingScale (ratio)Submarine pipelineScale modelSoftwareFull scaleData setShip motions

Abstract

fetched live from OpenAlex

This report describes a set of irregular wave seakeeping experiments carried out as part of the Fishing Vessel Safety Project on a 1:4.697 scale model of the 35 ft. (10.67 m) long inshore fishing vessel CCGA Atlantic Swell, designated IOT651, in the Institute for Ocean Technology (IOT) Offshore Engineering Basin (OEB) January - February 2005. The data from these tests was used to correlate with the full scale data acquired during sea trials carried out off St. John's, NL October 4, 2003. The objective of the experiments was to acquire quality model scale seakeeping data to validate numerical prediction software under development at Memorial University of Newfoundland (MUN) and correlate with the full scale data.This document describes the model fabrication, instrumentation, data analysis procedure, provides the results of the ship /physical model/ numerical model correlation exercise and recommendations to improve the overall correlation in future.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.152
GPT teacher head0.348
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 designObservational
Domainnot available
GenreMethods

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
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueNPARC→French-language works237,207→