Bibliographic record
Abstract
A method for predicting full-scale ship powering performance from model load-varying self-propulsion testdata is presented. The method uses load varying tests in isolation of resistance and/or propeller open watertests. Although presented here for a conventional twin screw icebreaker, the method is being developed asan alternative to conventional lITC 1978 based methods for ships fitted with unconventional propulsors,including those using podded propulsion systems.Values of a form factor, a resistance and a thrust deduction fraction are found from an analysis of theunder/overload tests. The full scale torque and thrust coefficients are estimated from the model propellerdata in the behind condition. The method is illustrated by using model test data for the Canadian R-Classicebreaker for which corresponding full-scale trials results are available. Comparisons are made of theresults with an extrapolation done using the lITC 1978 method. The effects of use of different friction linesare also discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".