Bibliographic record
Abstract
This research was conducted in Pagai island, Mentawai Island regency, which was aims to find out: 1) Index of threat earthquake disaster, 2) Index of population that exposed the earthquake disaster, 3) The threat level of earthquake disaster in Pagai Island. The method used in this research was descriptive with a quantitative approach and the data used was secondary data obtained from relevant agencies. The results showed that the threat index of earthquake disaster which was affected by the distribution of PGA with a range of values between 0.342 - 1.477 gal. The classification of earthquake hazard index in this study is in two classes, that is index class of high threat of peak ground acceleration with a range of values between 0.706 - 1.477 gal found in South Pagai District, Sikakap District and North Pagai District. While the medium threat index class with a range between 0.342 - 0.705 gal found in North Pagai District and Sikakap District. The index of population that exposed in Pagai Island obtained an index value of 0.6 which indicates the medium class category.
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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".