An Evaluation of Decision Support Technology in Simulated Offshore Ice Management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In this research, an experimental method was used to evaluate the effects of a novel digital Decision Support System (DSS) for maritime ice management operations. This was done using a marine bridge simulator to determine whether the use of this technology can improve ice management performance. The experiment used the DSS to assist seafaring cadets in simulated emergency ice management operations. The operation scenarios saw the cadets use a supply vessel under their control to clear sea ice from the lifeboat launch zone of an offshore installation. The DSS allowed participants to request assistance, which was provided through text-based instructions and visual replay of a previous approach from a past study. The cadets usually adopted the strategy recommended by the DSS, but did not demonstrate statistically significant performance improvements, which we attribute to their lack of ship handling experience. This research provides insight into the efficacy of decision support technology in presenting advice for ice management activities. It also describes an effective method for evaluating this technology.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.003 | 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 it