{"id":"W2915507587","doi":"10.1139/cgj-2017-0544","title":"Probabilistic seismic slope stability analysis and design","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Geotechnical engineering; Probabilistic logic; Seismic loading; Slope stability; Stability (learning theory); Seismic analysis; Slope stability analysis; Probabilistic analysis of algorithms; Geology; Structural engineering; Engineering; Mathematics; Computer science; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00130609,0.0006468364,0.0004535749,0.0006978429,0.0003120325,0.0007247287,0.0006732075,0.000597476,0.003485527],"category_scores_gemma":[0.003496499,0.0004842163,0.0006394738,0.0004036807,0.0007450823,0.0005876906,0.0007502604,0.0005520641,0.0004377371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008374063,"about_ca_system_score_gemma":0.0009786423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978813,"about_ca_topic_score_gemma":0.001684249,"domain_scores_codex":[0.99897,0.0003175937,0.00003877804,0.0001011979,0.0005148647,0.00005761218],"domain_scores_gemma":[0.998951,0.000479693,0.0001542677,0.000114185,0.0002774866,0.0000234066],"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":[0.00001442998,0.000004894667,0.0002418785,0.00002329785,0.000007212488,0.0000150867,0.00001483565,0.9738393,0.001204015,0.01203232,0.0001801216,0.01242252],"study_design_scores_gemma":[0.000003448969,0.0000207269,0.0000972347,0.000005398917,0.00000468673,0.00001546231,0.000004281894,0.9933385,0.0004895621,0.005249277,0.0007678717,0.000003596293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01292655,0.0001229729,0.9812072,0.00009619295,0.00000984105,0.00003185294,0.00004305147,0.0001879642,0.005374428],"genre_scores_gemma":[0.8349036,0.0003431484,0.1602931,0.0000551343,0.0000294552,0.0002400062,0.0001298086,0.0001222198,0.003883508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003485527,"threshold_uncertainty_score":0.01166028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009322504782251691,"score_gpt":0.1818316585851529,"score_spread":0.1725091538029012,"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."}}