REAL-TIME CORRELATION ANALYSIS MONITORING SLOPE MOVEMENT USING SLOPE STABILITY RADAR (SSR605-XT) WITH ROCK MASS RATING AND ALTERATION TYPE DATA
Bibliographic record
Abstract
The North Main Ridge Pit location is an open gold mining area with several benches and steep slopes, which have the potential to cause landslides. Therefore, monitoring slope movements is crucial to reducing landslide risks and ensuring safe mining activities. This monitoring utilizes real-time methods directly within the mine pit using the Slope Stability Radar (SSR605-XT) tool. Data obtained from radar monitoring is analyzed using the IQ Monitor software to acquire information on slope deformation and movement speed. Mapping within the mine pit is conducted by measuring a distance of 5 meters for each segment, with a total length of 575 meters divided into 115 segments. The condition of the monitoring site at the mining level, characterized by significant slope movements, is heavily influenced by data estimates of rock mass assessment and alteration types. The weaker the rock mass class (3 and 4) and the argillic alteration type, the potential for slope movement to occur. On the other hand, the stronger the rock mass class (1 and 2) and the silicic and advanced argillic alteration, the less slope movement.
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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 | 0.001 |
| 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) | 0.002 | 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".