Linking large-volume landslides with potential neotectonic activity of the Pocuro fault system, Central Andes (32°-33°S)
Bibliographic record
Abstract
The link between large-volume landslides and a potential seismic source has not been extensively tackled in the seismic central Chile even though many mega-landslides have been triggered historically by earthquakes. In this research, an inventory of prehistoric landslides was developed on the western border of the Andes Principal Cordillera, identifying 41 large-volume landslides along main regional structures of the Pocuro Fault System. Among them, 8 landslides were selected to determine a probable seismic source. Slide modelling was performed by reconstructing the topography previous to failure obtaining geotechnical parameters from compressive strength tests and RMR-GSI values collected during field work . Slope stability models were carried out by implementing pseudostatic limit equilibrium analyses in slopes where critical accelerations for sliding were determined. Back-analysis applying inversely Ground Motion Models to nearby mapped faults and topographic amplification depicted cases where a coseismic origin of the landslides is likely. Several faults of the Pocuro Fault System are identified as possible seismogenic sources of the instabilities, suggesting neotectonic activity of this Quaternary fault system, consistent with recent paleoseismological studies in the area and the occurrence of high magnitude earthquakes in this region.
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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 | 0.002 | 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) | 0.001 | 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".