Bibliographic record
Abstract
An extrapolation method is presented for modelling 3D-9C seismic data in media that are transversely anisotropic. Fourier decomposition is used so that wavefield extrapolation proceeds as a set of distributed, monochromatic extrapolation steps in depth. Three component (3C) geophones are implemented on each grid point of the horizontal reflecting surface. A 3C model source wavefield is extrapolated by 3D phase shift operators in anisotropic media to each grid point. There, a rotation matrix transforms the source polarization into the orientation of the multicomponent geophone. The polarization angle (dip) of the incident compressional wave and the horizontal projection of the associated slowness vector at each grid point are the essential parameters of a rotation matrix. Travel times in anisotropic media are accommodated through plane wave transformation and phase shift, and a propagation angle is produced. For each geophone component, the polarization angle is calculated from the propagation angle. Synthetic examples are given to demonstrate this approach.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".