Study of interface wave generation and shear wave velocity estimation.
Bibliographic record
Abstract
Estimation of the shear wave velocity profile versus depth and shear wave attenuation in the upper sediment layers has been an important research topic in underwater acoustics. The shear wave velocity profile is insensitive to hydrophone data measured in water column, while dispersion of the interface wave propagating along the water and sea bottom boundary (the Scholte wave) is closely related to shear wave velocity variation with depth in the upper sediment layers. However, due to the exponential decay of the amplitude of the interface waves, there may be no interface waves generated and recorded in a conventional underwater experiment configuration where the sources and receivers (vertical and/or horizontal hydrophone array) are located in the water column with distance (measured by wavelength of the interface wave) away from water bottom interface. In this paper the conditions in which interface waves can be generated, recorded, and visualized are studied by numerical experiments in the underwater environment. The conditions include source strength, frequency band, source–receiver configuration, and signal-to-noise ratio, etc. Examples are given for estimating of shear wave velocity profile with depth by inverting dispersion curves of recorded interface waves in real data. [Work supported by NFR under Contract No. 186923/I30.]
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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 | 0.004 |
| 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 | 0.001 |
| 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".