Synthetic Zero-offset VSP Including Attenuation Linping Dong and Gary Margrave,CREWES Project, The University of Calgary, Calgary
Bibliographic record
Abstract
The zero-offset synthetic VSP seismograms were created on a horizontally layered medium with constant-Q attenuation by a 1-D, two-way wavefield extrapolation approach. The amplitude variation of the downgoing waves is verified by the comparison of the input Q and estimated Q. The travel distance, amplitude and polarity of the deconvolved upgoing waves are consistent with the variation in the impedance estimated from log data. The corridor stacking over the deconvolved upgoing waves is close to Well-log synthetic seismogram. The result shows that the synthetic VSP seismogram is accurate. Principle of 1-D, two-way wavefield extrapolation Considering a plane, compressional wave normally incident in a horizontally layered anelastic medium, the Fourier component of the wavefront at depth can be expressed as z
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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 | 0.001 | 0.001 |
| 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) | 0.003 | 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".