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 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.032 | 0.013 |
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".