{"id":"W2072069695","doi":"10.3208/sandf.50.343","title":"System Reliability of Slopes by RFEM","year":2010,"lang":"en","type":"article","venue":"SOILS AND FOUNDATIONS","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":199,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"National Science Foundation","keywords":"Monte Carlo method; Slip (aerodynamics); Probabilistic logic; Finite element method; Reliability (semiconductor); Random field; Reliability engineering; Slope stability; Geotechnical engineering; Structural engineering; Engineering; Mathematics; Statistics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001490419,0.0004123983,0.0004440886,0.001308268,0.0002438052,0.0006958307,0.0005964437,0.0003494246,0.002542395],"category_scores_gemma":[0.008634776,0.0002714964,0.0005004642,0.000960757,0.0005417301,0.001311186,0.0005003581,0.0004401273,0.00053879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005586426,"about_ca_system_score_gemma":0.000302381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003268948,"about_ca_topic_score_gemma":0.002804844,"domain_scores_codex":[0.9992866,0.0002896035,0.0000291577,0.0001142518,0.0001853483,0.0000950428],"domain_scores_gemma":[0.9969295,0.00158494,0.0003262819,0.0005551065,0.0005681023,0.00003615932],"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":[0.0002265111,0.00002818314,0.0216229,0.0001065413,0.00008110636,0.0001773766,0.0001841112,0.8533289,0.006181136,0.02149012,0.001242866,0.09533028],"study_design_scores_gemma":[0.000004557629,0.00005005302,0.007141131,0.00001903903,0.000024008,0.0001396779,0.0000373612,0.9755409,0.002696392,0.0133082,0.001023952,0.00001473743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4990041,0.0007635409,0.4876717,0.0002088023,0.0000361292,0.00003475311,0.00049607,0.0009698908,0.01081513],"genre_scores_gemma":[0.9893222,0.0001061562,0.008973597,0.000009597569,0.0000137108,0.0000120897,0.0001170432,0.00006027831,0.001385234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003268948,"threshold_uncertainty_score":0.008505225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00319522743035774,"score_gpt":0.1896936896991525,"score_spread":0.1864984622687948,"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."}}