Description of seakeeping experiments carried out on CCGA Miss Jacqueline IV Model IOT 745
Bibliographic record
Abstract
This report describes one of many experiments that fall under the Safer Fishing Vessel Seakeeping (SFVS) project. This project was designed to investigate the full-scale motions of five fishing vessels by testing them at sea. These motions were recorded and are to be used to validate physical and numerical simulations and to obtain more information on motion induced interruptions (MII), sudden motions caused by waves that prevent work and often cause injury to workers. The focus of this report is on the 1:11 ¼ model of the 65 ft fishing vessel CCGA Miss Jacqueline IV (Figure 1) and its physical simulation in the Institute for Ocean Technology's (IOT's) Offshore Engineering Basin (OEB). This simulation was conducted in October-December of 2006. This document describes in detail the entire process of model testing, including fabrication, testing and data analysis. The results of the first round of testing are compared to the full scale sea trial data and a detailed discussion of sources of error is presented. Recommendations are made for the improvement of the correlation of future experiments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".