Analysis of Seismic Anisotropy of the Typical Slate from the Gaoligong Mountains, Yunnan Province, China
Bibliographic record
Abstract
Abstract Slate, as one of the low‐degree metamorphic rocks, is widely distributed in China. Research on the seismic velocity of slate can help distinguish this kind of transitional rocks as well as understand anisotropy of the upper crust. This paper presents laboratory research on the seismic velocity of slate samples collected from the Bingzhongluo district of Yunnan Province, and part of the experiment was conducted at the Dalhousie High Pressure Laboratory, Canada. The laboratory testing yielded the seismic velocities in different structural directions as a function of pressures. The seismic velocities in the three directions ( X , Y and Z ) are 6.58, 6.46 and 5.91 km/s at the confining pressure of 600 MPa, respectively, with an average velocity of 6.30 km/s. S wave has an average velocity of 3.62 mm/s and a V p / V s ratio of 1.74. The preliminary analysis shows the changing law of seismic velocities and shear wave splitting of slate, revealing that the seismic anisotropy of slate decreases significantly with pressurization at low confining pressures (<150 MPa). This is primarily attributed to the orientation alignment of microcracks within slate. With progressive increase of confining pressure (>150 MPa), all the microcracks are largely closed. Thus, the orientation alignment of flaky minerals such as biotite and actinolite is a leading factor for seismic anisotropy. With the pressure up to 600 MPa, the anisotropy of V p and V s stabilizes at 13% and 16%. Therefore, laboratory data and seismic property of the slate documented in this paper will provide basis for determination of preferential orientations of microcracks in the upper crust, anisotropy analysis in the shallow crust, and geophysical model constraints.
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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 | 0.002 | 0.002 |
| 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".