Bibliographic record
Abstract
The Arktos vehicle is an amphibious craft system capable of operation in a wide range of Arctic ice conditions and seastates. It is approved as an evacuation system by various regulators, such as the US Coast Guard, and is currently operational in several marine cold regions as an EER system. As part of a reliability investigation of the ARKTOS EER capability, a series of non-Arctic calm condition fully-manned drills was carried out to focus on ergonomic factors. These drills were carried out at a temperate location in the Fraser River Delta, near Vancouver, B.C. A full complement of evacuees was observed and documented throughout a range of evacuation drills, including escape, boarding, securing, and transport to a location outside of a hypothetical hazard zone. Video, time, and expert observer records were made and analyzed subsequently. Two sets of drills were carried out; namely, full-scale evacuation drills and calm open water operation drills. Both sets of drills focused on the ergonomic interfaces of the subjects and the vehicle. This paper describes the observations, presents the statistical results from the data collected, and compares observed results with predicted results of a probabilistic EER simulation computer model. Conclusions and recommendations for reliability improvements are given.
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".