Model Sesar Pati di Jawa Tengah Berdasarkan Data GPS
Bibliographic record
Abstract
The campaign GPS survey was conducted in the 2017 - 208 by Centre for Volcanology and Geological Hazard Mitigation, Geological Agency for the purpose of studying the caracteristic of the Pati Fault. The complete processing and analysis of the GPS observations were performed using Gamit/Globk software version 10.6. Horizontally, displacement of GPS stations generally to the southwest and to the south with a velocity of 3.04 mm/yr up to 19.49 mm/yr. While the vertical displacement up and down with values varying from -125.60 mm/yr to 4.07 mm/yr. Base on displacement pattern of GPS stations by using Coulomb 3.3 softwaere, a Pati Fault model consist of three segments that have potensial produce earthquakes with moment magnitude Mw 6.2, Mw 6.2, and Mw 6.4 respectively.Keywords: GPS survey, Pati Fault, displacement, fault model.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".