Magnetotelluric imaging of the creeping segment of the San Andreas Fault near Hollister
Bibliographic record
Abstract
Fluids may play a significant role in the earthquake rupture process. Since fluids can dramatically change the electrical resistivity of crustal rocks, electromagnetic exploration methods can image in situ fault‐zone fluids. Magnetotelluric (MT) data has been collected on segments of the San Andreas Fault (SAF) in Central California exhibiting a range of seismic behavior from locked to creeping. This paper describes MT data from the creeping segment of the SAF near Hollister, California. Inversion models image a zone of enhanced conductivity beneath the surface trace of the SAF that has similar geometry and greater depth extent than the fault zone conductor at Parkfield. Comparison with geologic and seismic tomographic studies show this zone is bounded by the San Andreas and Calaveras Faults, and coincident with a zone of low seismic P‐wave velocities. Combined with previous MT studies, this indicates a correlation between seismicity and the presence of fault‐zone fluids.
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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 | 0.000 | 0.000 |
| 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".