Inversion for material, geometrical, positional, and radial speed parameters of a spherical target in a waveguide.
Bibliographic record
Abstract
In this paper, a moving spherical target in a Pekeris waveguide is considered. The classification of a target from its free space echo has been previously studied by many authors. In a waveguide, the received echo results from the coherent interference of the various multipaths incident upon and scattered from the target. When the position of the target in the waveguide is imprecisely known, the echo classification problem is more difficult. In addition, if the target is moving with an unknown radial speed, this further complicates the problem. In this paper, we consider a single omnidirectional transmitter and a single receiver and investigate the estimation of the material, geometrical, positional, and dynamical parameters of the sphere from the received echo. We use a simple simulated annealing approach to investigate the parameter estimation. We also consider various two-dimensional cost-function surfaces to illustrate the uncertainties in the parameter values.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".