{"id":"W2385727061","doi":"","title":"Application of finite elements with joint net to stability analysis of toppling slope","year":2011,"lang":"en","type":"article","venue":"Rock and Soil Mechanics","topic":"Soil, Finite Element Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Joint (building); Stability (learning theory); Slope stability; Slope stability analysis; Net (polyhedron); Finite element method; Geology; Rock mass classification; Geotechnical engineering; Slope stability probability classification; Mathematics; Structural engineering; Engineering; Geometry; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000459781,0.0001089983,0.0002922479,0.0001682495,0.00002379525,0.000003675622,0.00008468216,0.00004761028,0.00003610632],"category_scores_gemma":[0.00004186701,0.000102298,0.00004450615,0.0005762302,0.000003062076,0.00004253443,0.00004989735,0.00005994722,0.00000127415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002802062,"about_ca_system_score_gemma":0.000009933496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005234951,"about_ca_topic_score_gemma":0.00012297,"domain_scores_codex":[0.9991341,0.00002558336,0.000351262,0.0001634737,0.0001842809,0.0001413649],"domain_scores_gemma":[0.9994059,0.00004872134,0.00008276273,0.0002952473,0.0001040654,0.0000633304],"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":[0.0003464916,0.0006407711,0.1117221,0.00162953,0.005327951,0.000003270663,0.02349737,0.4908545,0.1747179,0.01696951,0.00006620622,0.1742244],"study_design_scores_gemma":[0.000269607,0.0001552676,0.005349906,0.00001898308,0.0004621189,2.227119e-7,0.0004020325,0.8467763,0.1454966,0.0007685964,0.000125264,0.0001751036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4462638,0.00002852384,0.5532506,0.00000211493,0.00002134434,0.0001220512,0.00001508383,0.00002733178,0.0002691539],"genre_scores_gemma":[0.9681861,0.00003384639,0.03170155,0.00001312276,0.000007959054,0.00002754373,0.00001149586,0.00001451285,0.000003814543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5219223,"threshold_uncertainty_score":0.417159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03639719082280499,"score_gpt":0.242071748826707,"score_spread":0.205674558003902,"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."}}