[no title]
Bibliographic record
Abstract
An earthquake with a magnitude of Mw 5.8 rocked the North Tapanuli region on October 1 2022 (02:28:43 WIB) in the Renun segment caused by (right-lateral strike slip). The main earthquake data and the parameters of the source mechanism were obtained from Global CMT and aftershock data were obtained from the BMKG catalog with a range of study locations at 1.60⁰ – 2.52⁰ North Latitude and 98.55⁰ East Longitude – 99.50⁰ East Longitude. The method used is the Coulomb Stress method using Coulomb 3.4 software. The results of the analysis of changes in coulomb stress are areas where there is an increase in stress of 0 to 0.2 bar and a decrease in stress of 0 to -0.2 bar. Areas that have increased stress are in the southwest, southeast, northwest and northeast. While the areas that experienced a decrease in stress were in the east, north, west and south.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".