Bark indication detection and release algorithm for the automatic delivery of packages by dogs
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
The Canine Remote Deployment System (CRDS) is a set of equipment for the delivery of emergency supplies to trapped victims in urban search and rescue (US&R) operations. The system utilizes search canines carrying a bag of supplies and equipped with a wireless receiver device. A hand-held wireless transmitter is used by a human to trigger the release of the bag. The canine handler would activate the transmitter upon hearing the dog's "bark indication" that it has found a live victim. In such manner, a package can be deployed from the dog at the press of a button. This paper describes a new feature of the CRDS whereby the release mechanism that deploys the package---called the "underdog" - is activated through the detection of the dog's barks and an algorithmically controlled deployment strategy. A series of experiments were conducted to ensure consistency and accuracy of the bark release algorithm. Results are presented in this paper.
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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) | 0.000 | 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