{"id":"W4225284488","doi":"10.1016/j.compgeo.2022.104788","title":"The role of discontinuities in rock slope stability: Insights from a combined finite-discrete element simulation","year":2022,"lang":"en","type":"article","venue":"Computers and Geotechnics","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":104,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada","keywords":"Classification of discontinuities; Geology; Geotechnical engineering; Discrete element method; Finite element method; Coalescence (physics); Rock mass classification; Slope stability analysis; Structural engineering; Slope stability; Discontinuity (linguistics); Failure mechanism; Engineering; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001334256,0.00007578291,0.0001116508,0.00001842222,0.0002161939,0.0000234529,0.0001638643,0.00003059376,0.0001032768],"category_scores_gemma":[0.000007680182,0.00005109442,0.0000307265,0.0001266467,0.0000537594,0.00005364272,0.0005733297,0.0001476733,0.000001377486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005943854,"about_ca_system_score_gemma":0.000006031888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002798847,"about_ca_topic_score_gemma":0.0001532676,"domain_scores_codex":[0.9992719,0.00005779752,0.0002065008,0.0001630792,0.0001830508,0.0001176671],"domain_scores_gemma":[0.9995453,0.0001744646,0.0000753754,0.0001752026,0.000003754597,0.00002588099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000842214,0.00005839876,0.00745708,0.000003129008,0.00001379858,0.000002556839,0.002261953,0.9567149,0.0003039208,0.0004048104,0.00005827074,0.03263691],"study_design_scores_gemma":[0.0004010297,0.000158657,0.009470475,0.000009494061,0.000007614166,2.707612e-7,0.0008892795,0.9492975,0.0001780889,0.01160209,0.02788874,0.00009679837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946878,0.000588202,0.003842706,0.0001922128,0.00009885336,0.0002445983,0.00002053356,0.00001961297,0.0003055049],"genre_scores_gemma":[0.9996902,0.00007691908,0.0001227063,0.00004164364,0.000006457365,0.00001231456,0.00001568061,0.000004995714,0.00002905464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03254012,"threshold_uncertainty_score":0.208357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005315726909606812,"score_gpt":0.1911978341042346,"score_spread":0.1858821071946278,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}