Bibliographic record
Abstract
This paper describes the project undertaken by BMT Fleet Technology Limited (BMT FTL) on behalf of a Joint Industry Partnership (JIP) to test a Totally Enclosed, Motor Propelled Survival Craft (TEMPSC) in ice conditions and to provide a detailed analysis of its survivability. Two partners, ExxonMobil and Sakhalin Energy Investment Company (SEIC) are currently developing oil and gas fields off Sakhalin Island in the Sea of Okhotsk. Agip KCO is the operator of developments in the Northern Caspian Sea. Transport Canada has regulatory responsibilities for the safety of ships and offshore platforms in Canadian waters (and for Canadian flag ships worldwide). Ice is a major factor in all of these areas, though its duration and severity varies. Evacuation into ice therefore becomes a major safety issue for all of the project sponsors. The core of the project was the deployment of an instrumented TEMPSC into the Northumberland Strait between the mainland of Canada and Prince Edward Island during March 2003. This would not have been possible without the support of the Canadian Coast Guard, who provided icebreaker, helicopter and base support services. This paper presents the background to the project and its objectives. It provides a description of the TEMPSC used in the trials, and of the instrumentation that was fitted to record its performance. It describes the trials that were planned, and those that were actually undertaken, explaining the differences. A summary of key findings and their safety implications are presented.
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 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 | 0.000 |
| Open science | 0.000 | 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".