A Study on Crustal Anisotropy Using P to S Converted Phases of Receiver Functions: Application to Ailaoshan‐Red River Fault Zone
Bibliographic record
Abstract
Abstract Although both dipping boundary and anisotropy can cause significant energy in transverse component of receiver functions, they are distinguishable in the arrival time and period. According to different periodicities of transverse components, characteristic anisotropy or dipping boundary can be enhanced by weighted stacking method, and splitting parameters can be inferred from related waveform analysis. As an example, we studied crustal anisotropy near the Red River Fault using P to S converted phases of receiver function. The receiver functions are derived from four broadband digital seismic stations near the Red River Fault. The fast polarization direction is 132° with a time delay of 0.24s. The fast polarization direction in crust is consistent with tectonic line of this region but nearly perpendicular to the fast polarization direction of upper mantle, indicating that the crust and upper mantle may be de‐coupled near the Red River Fault.
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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 | 0.000 |
| 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) | 0.000 | 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".