Geoacoustic parameters by inversion of bottom reflectivity data from the Santa Barbara channel experiment
Bibliographic record
Abstract
A method is described to estimate the range dependence of geoacoustic parameters of the seafloor from bottom reflectivity data. The data were obtained using light bulbs as sound sources in the Santa Barbara channel experiment (SBCX). Light bulbs were deployed around the SBCX FFP array that consisted of five 30-element vertical line arrays. Signals from the direct path, the surface reflected path, and the four components of the first bottom reflection were clearly resolved at each array. The inversion integrates the results from several source–array combinations to generate estimates of the seafloor geoacoustic parameters in the area around the FFP array. The reflection coefficients were determined versus angle from the direct path and bottom-reflected path signals, and inverted using a simple fluid model to estimate the seafloor sound speed and density. The estimates are consistent with the known ground truth information for the SBCX site. [Work supported by ONR.]
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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 | 0.001 | 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 | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".