Bayesian geoacoustic inversion in a range-dependent environment
Bibliographic record
Abstract
In August 2006 a series of experiments was carried out on the New Jersey continental shelf to investigate geoacoustic inversion in a range-dependent shallow water environment. The experimental site was instrumented with multiple oceanographic sensing systems to provide spatial and temporal ground truth of the ocean environment throughout the experiments. The acoustic experiments used multiple receiving systems and sound sources operating over a large frequency band from 50 to 20 kHz. This paper presents results from inversion of low-frequency (<1000 Hz) data obtained along a radial track from one of the 16-element vertical line arrays. The track was surveyed with a chirp sonar to establish bathymetric and subbottom ground truth. Continuous wave tones were recorded at ranges of 1, 3, and 5 km where the source ship held station for several minutes. Bayesian matched field inversion was applied at each of the sites. The effects of unknown range dependence were taken into account by estimating the data error covariance from multiple data windows at each range station. The inversions indicate that the long-range experimental geometry provided reliable estimates for the sea floor sediment parameters in the range-dependent environment. [Work supported by ONR Ocean Acoustics Team.]
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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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".