Vs30 of Coastal Cities in Eastern Indonesia in the Context of Earthquake Phenomenology
Bibliographic record
Abstract
Shear wave velocity measurements to 30 m depth (Vs30) using Multichannel Analysis of Surface Waves (MASW) indicate high seismic risk to the built environment in coastal cities adjacent to the Sunda and Banda subduction zones in Eastern Indonesia. These measurements were taken at 58 sites in the cities of Pacitan (southern Java), Lombok, Ambon, and the Banda Islands. Comparing Vs30 estimates with local geologic maps show low velocities associated mostly with unconsolidated alluvium on coastal plains where most of the built environment resides. Due to recent destructive earthquakes in two of the sites (2018 Lombok and 2019 Ambon) we were able to directly compare damage using the MMI scale to Vs30. In most cases the heavy damage was experienced in sites with low Vs30 values. The least damage was experienced near sites with high Vs30 values, which are in foothills underlain by shallow volcanic units. These data provide a way to quantify earthquake hazards in densely populated and rapidly developing regions of eastern Indonesia and provide foundational constraints for studies of resonance frequency.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".