Stability evaluation of slope with soft cliff
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Collapse of soft cliff which has a tendency to rapid change has been frequently reported in the United Kingdom, the United States and Canada. Similar damage due to wave-induced erosion has been reported in Hokkaido, Japan. Therefore, accurate estimate of erosion recession and slope failure (or slumping) is required for protecting the shoreline and land border. The purpose of this study is to grasp failure mechanisms and features of coastal cliff attributed to wave erosion. A series of model tests was performed on the model cliff having the corresponding strength with that of the in-situ soft cliff. The features of slope failure and of erosion process were revealed. Based on the test results, a prediction method for the progress of erosion recession was proposed, and its validity was investigated using the slope stability analysis based on field data.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it