{"id":"W1988384620","doi":"10.1061/47627(406)9","title":"Influence of Probability Distribution of Shear Strength Parameters on Reliability-Based Rock Slope Analysis","year":2011,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Probability distribution; Reliability (semiconductor); Probability density function; Shear strength (soil); Statistics; Mathematics; Geotechnical engineering; Geology; Soil science; Physics; Thermodynamics","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":[0.008212373,0.0008275771,0.0008547381,0.003020112,0.0003977248,0.0009669947,0.0007655818,0.0008872675,0.0004851574],"category_scores_gemma":[0.05683404,0.0004641195,0.0008659402,0.001410481,0.001120372,0.00164397,0.0006971256,0.0009448193,0.0001969672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008486091,"about_ca_system_score_gemma":0.000454752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003819426,"about_ca_topic_score_gemma":0.001960969,"domain_scores_codex":[0.993432,0.003380446,0.0002814268,0.0007089013,0.001925633,0.0002717185],"domain_scores_gemma":[0.8712251,0.1084948,0.006930131,0.006210216,0.006579826,0.0005599122],"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":[0.0004999721,0.00007166994,0.07838734,0.0001354889,0.000268367,0.0006883605,0.0003140216,0.8504121,0.01523323,0.002151003,0.0002380467,0.05160039],"study_design_scores_gemma":[0.00001306877,0.0002134884,0.03394116,0.00002504496,0.00009279597,0.0004614242,0.00007685195,0.9506401,0.01213971,0.001989288,0.0003318575,0.00007522669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7542784,0.0006802373,0.2424671,0.0001177398,0.00001463041,0.00007702797,0.0001449338,0.0006923499,0.001527602],"genre_scores_gemma":[0.9941661,0.00009068487,0.005539523,0.000007814867,0.00000625184,0.00001128885,0.00007263104,0.00004212583,0.0000634866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008212373,"threshold_uncertainty_score":0.0434317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039818339562297,"score_gpt":0.1916166866873585,"score_spread":0.1812185032917355,"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."}}