{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007596245,0.00004825642,0.00008789155,0.00002516567,0.00003504054,0.00001432297,0.00004143362,0.00004371569,0.00001983256],"category_scores_gemma":[0.00002746383,0.00004361296,0.0000295133,0.00009843479,0.00003082413,0.00004167842,0.000008089269,0.00009598134,0.000006302795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005531668,"about_ca_system_score_gemma":0.000003474485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003875766,"about_ca_topic_score_gemma":0.000008539706,"domain_scores_codex":[0.9997064,0.000002723485,0.0001157724,0.00006381173,0.00004370819,0.00006753935],"domain_scores_gemma":[0.9997695,0.00002582295,0.00001016119,0.0001333816,0.00002396059,0.00003715146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005994237,0.0002173832,0.004417034,0.002446518,0.0003463026,0.000002165523,0.0006032617,0.3140902,0.4080773,0.1581357,0.006527471,0.1051307],"study_design_scores_gemma":[0.0003775054,0.00004173707,0.007305289,0.00007668634,0.0001481746,0.000008047228,0.0002270383,0.8788708,0.006247263,0.001289464,0.1049277,0.0004803301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8842517,0.0001362821,0.1079077,0.0001345697,0.0002629566,0.00006784104,0.00003850441,0.0004171289,0.006783341],"genre_scores_gemma":[0.9988431,0.00001875995,0.001011224,0.000001568541,0.00001870511,0.00000598522,0.00001041819,0.000006018394,0.00008425907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5647806,"threshold_uncertainty_score":0.1778485,"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."}}