MétaCan
Menu
Back to cohort
Record W4409976889 · doi:10.12962/j25023659.v11i1.1882

REAL-TIME CORRELATION ANALYSIS MONITORING SLOPE MOVEMENT USING SLOPE STABILITY RADAR (SSR605-XT) WITH ROCK MASS RATING AND ALTERATION TYPE DATA

2025· article· en· W4409976889 on OpenAlexaff
R. Andy Erwin Wijaya, Bayurohman Pangacella Putra, Tesya Puspita Mamonto

Bibliographic record

VenueJurnal Geosaintek · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGeologySlope stabilityStability (learning theory)Slope stability analysisMovement (music)Mass movementGeotechnical engineeringComputer scienceLandslidePhysics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.255
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJurnal GeosaintekSame topicLandslides and related hazardsFrench-language works237,207