Bibliographic record
Abstract
A naval ship's acoustic signature is known after a ranging but changes the longer it is in-service away from a range. The Ship Signatures Management System (SSMS) provides an organic real-time capability to predict their own signature and enough information to mitigate signature issues. SSMS provides the Commanding Officer with a tool to determine the ship's acoustic signature in order to evaluate the impact of his/her proposed actions on the ship's counter-detection range and sensor performance. In this manner, the ship's protection is enhanced through insightful and timely signature management. DRDC has upgraded the SSMS hardware to state-of-the-art components to increase the number of sensors, the fidelity of the logged data, the dynamic range, and the processing power. This paper discusses some of the advanced SSMS features developed like tonal detection and tracking, tonal association, and the diagnostics used to determine the cause of features in the acoustic signature.
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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".