Intercept Considerations for Devising a Dipping Sonar Search Strategy to Locate an Approaching Submarine
Why this work is in the frame
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Bibliographic record
Abstract
A hostile conventional submarine will attempt to get within close enough range to a ship so as to launch a torpedo. To counter this, an Anti-Submarine Warfare (ASW) helicopter with dipping sonar capability can be used to search for an approaching submarine. In situations where earlier contact information of the submarine by an external source is available, intercept trajectory considerations can be used to determine an intercept zone for the submarine from which it can attack the ship. This information can then be used to devise a search strategy for the helicopter to locate the submarine, after which counter measures can be taken against the submarine. This problem has been investigated using a naval combat modelling environment, with results of the methodology development, implementation and analysis reported here.
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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 | 0.000 | 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) | 0.001 | 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