Mitigasi Bencana Berdasarkan Nilai Shear Strain Tanah Akibat Gempa Bumi Pada Tempat Pembuangan Akhir (TPA) Ngipik, Gresik
Bibliographic record
Abstract
Ngipik Landfill located in Gresik, East Java has a several active fault. Due to the condition, this area has high possibility of earthquake prone area. There is no bottom layer construction to prevent and control the leachate’s spread. This study aim to analyze the earthquake hazard map for the region based on the values of ground shear strain. The data was conducted by microtremor measurement and Plaxis modeling. The result of this study shows the shear strain value range between 3.5 x 10-3 to 12.5 x 10-3. The highest value is around the east and west-north area and indicated the high risk of damage under ground motion. The output of the research must consider as preliminary site mitigation of Ngipik Landfill.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.004 | 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; 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".