Model testing of an evacuation system in ice covered water
Bibliographic record
Abstract
An emergency evacuation of an offshore petroleum installation must be carried out in the environmental conditions that prevail at the time of the emergency. The presence of ice can limit the utility of conventional evacuation systems. The performance capabilities of a conventional lifeboat were investigated experimentally at model scale in an ice tank. Tests were done in a range of ice concentrations, piece sizes, and thicknesses to determine how these factors affect the lifeboat's ability to launch and sail away from the platform. In the thinner ice and smaller floes, the lifeboat was able to progress through ice concentrations of up to 7/10ths coverage. In the thicker ice and larger floes, ice concentrations of only 5/10ths were passable. Additional tests were done with different propulsion power to check if this improved the lifeboat's performance. Significant increases in installed power led to only modest extensions in the boat's utility. Results of the experiments are presented, along with the calibrations, environmental matching, and analysis procedures. The results are a first step toward establishing operational performance boundaries for conventional lifeboats in ice.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".