Performance Metrics for Acoustic Small Arms Localization Systems
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
In the past ten years, in-air acoustic sensor systems have been developed for the localization of small arms fire. A number of countries have systems at different stages of advancement that they have deployed on operations. These systems are being mounted on vehicles to provide crews with better situational awareness, thereby enhancing crew safety and force protection. The acoustic system is starting to be incorporated into vehicle equipment as a standard item, especially in new vehicles. The introduction of this new technology requires a pragmatic approach to specifying the performance of these systems. For a number of years, Defence R&D Canada - Valcartier has worked on the development of the Ferret small arms detection and localization system. Our involvement in the design and fielding of the Ferret has provided us with an inside view on how these systems should be specified. In this paper, we propose a basis for the specification of such a system.
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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 | 0.001 |
| 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 it