Travel time inversion of broadband data from Shallow Water 2006 experiments.
Bibliographic record
Abstract
This paper presents geoacoustic inversions of broadband signals collected by the L-shaped array SWAMI32 during the Shallow Water 2006 Experiments. The L-shaped array was deployed in 70 m of water off the coast of New Jersey. The vertical leg of the array (VLA) has 10 even spaced sensors which expends 53.55 m in the water column, while the horizontal leg (HLA) has 20 uneven spaced bottom moored sensors that give 256.43 m of the aperture. An acoustic source was maintained at a depth of 35 m and towed along a circle around the VLA at a speed of 0.5 knots. The distance between the acoustic source and the VLA was around 190 m. Mid-frequency (1100–2900-Hz) chirps received at the VLA and HLA were analyzed for investigating the variability of the sea bottom properties around the circle. The data at the HLA were analyzed to assist the identification of the bottom layer structure while the data at VLA were employed to carry out the geoacoustic inversion. Environmental data collected in the vicinity were used in the inversion to account for the variable water column environment. [Work supported by ONR Ocean Acoustics.]
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".