Identifying Effecting Factors and Landslide Mapping of Cameron Highland Malaysia
Bibliographic record
Abstract
The combination of the tectonic processes and the impacts on the environment can be seen in the form of landslides. Structural features such as faults, lineaments and folds play a major role in controlling landslides. This may help to evaluate more accurate landslide mapping. The phenomena of landslides from diverse origins are very frequent in Malaysia and mainly in the region which the bed rocks are clays, sandy limestone, and marls. Due to the susceptibility of the population, the economy and the infrastructure, it is necessary to identify locations and develop landslides maps. This study tries to express identified factors effecting landslides based on the previous works. In addition, it tries to interpret and discuss on behavior of landslide occurrence of the Cameron Highland. However, this study presents an emphasis on potential areas for landslides mapping with considering lineaments as one of the effecting for probability occurrence of landslides. Also, the usefulness of GIS technologies has made us enable to develop various maps of effecting factors. This study has identified the localization of landslides for susceptibility mapping.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".