A Methodology to Assess Capabilities Against Underwater Targets in Harbour Protection
Why this work is in the frame
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Bibliographic record
Abstract
The paper describes a stochastic model of effectiveness for a harbour-defence system to counter an underwater threat. This model is applied to a scenario in harbour X. The defence consists of an active sonar with a detection and tracking system, an intercept platform with a non lethal weapon system, and an underwater barrier with trip-wire sensors. We showed that the effectiveness of the defence system against an UUV threat depends on the reaction-time of the interceptor (the time required to launch the interceptor after a track has been initiated). Short reaction-time is required for the sonar and the interceptor to be effective against the UUV threat. However, when the interceptor reaction-time is long, the underwater barrier system becomes the only effective system against the UUV. The paper also introduces a novel and efficient algorithm to determine the probability of track-initiation and presents the concept of a safety zone as well as determine its benefits.
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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 | 0.003 | 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) | 0.001 | 0.001 |
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