{"id":"W3043908304","doi":"10.1007/s40515-020-00118-7","title":"Probabilistic Analysis of Slopes with Linearly Increasing Undrained Shear Strength Using RLEM Approach","year":2020,"lang":"en","type":"article","venue":"Transportation Infrastructure Geotechnology","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geomechanica (Canada); Rocscience (Canada)","funders":"","keywords":"Factor of safety; Cohesion (chemistry); Mathematics; Slope stability; Isotropy; Shear strength (soil); Geotechnical engineering; Slip (aerodynamics); Probabilistic logic; Nonlinear system; Random field; Safety factor; Structural engineering; Geology; Statistics; Soil water; Engineering; Physics; Soil 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":[0.00007615074,0.0002649004,0.0006286934,0.0004959301,0.00004302815,0.00001442935,0.0002226952,0.0003001803,0.00005720649],"category_scores_gemma":[0.00005756147,0.0002386277,0.0001479313,0.003041811,0.0001344729,0.00008895387,0.000006077396,0.0004158804,8.089451e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003473217,"about_ca_system_score_gemma":0.00002822948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008114878,"about_ca_topic_score_gemma":0.00001584371,"domain_scores_codex":[0.9986848,0.00001897083,0.0004940324,0.0003181508,0.000208006,0.0002760551],"domain_scores_gemma":[0.9993936,0.00004781568,0.0001005695,0.0002648351,0.00009211751,0.0001009929],"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":[0.00002815604,0.00001124437,0.0009909712,0.0001663363,0.0008691649,0.000006703311,0.0003223862,0.9915978,0.004296696,0.0005308456,0.000002734098,0.001176914],"study_design_scores_gemma":[0.0003283571,0.00007560328,0.0111719,0.00001853714,0.00169383,0.00000504408,0.0002209943,0.9851744,0.0008059141,0.0001169143,0.0001237013,0.0002648619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.577758,0.00004635541,0.4214233,0.00005493628,0.00001287466,0.0001001589,0.00006081685,0.0005174606,0.00002621061],"genre_scores_gemma":[0.9411755,0.00001036306,0.0585525,0.00001985962,0.00002229826,0.000008618743,0.0001719024,0.00003767845,0.000001317616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3634175,"threshold_uncertainty_score":0.9730955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006766398890642788,"score_gpt":0.1858795772221149,"score_spread":0.1791131783314721,"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."}}