{"id":"W4320474921","doi":"10.1016/j.soildyn.2023.107798","title":"Numerical investigation and estimation of active earth thrust on gravity retaining walls under seismic excitation","year":2023,"lang":"en","type":"article","venue":"Soil Dynamics and Earthquake Engineering","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thrust; Lateral earth pressure; Retaining wall; Acceleration; Geology; Deformation (meteorology); Geotechnical engineering; Mechanics; Peak ground acceleration; Earth (classical element); Work (physics); Structural engineering; Engineering; Seismology; Physics; Classical mechanics; Ground motion; Aerospace engineering","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":[0.00017169,0.0001684653,0.0001877378,0.0001989813,0.0000527083,0.00002988486,0.00003897429,0.0001196926,0.000001776369],"category_scores_gemma":[0.0001171645,0.0001872485,0.00002994646,0.0004076243,0.00002973233,0.0001413851,0.00001700523,0.0002041291,0.000003522066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003585728,"about_ca_system_score_gemma":0.000009729079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002335727,"about_ca_topic_score_gemma":0.000008218953,"domain_scores_codex":[0.9992307,0.00001289199,0.0002204872,0.0001790697,0.0001517086,0.0002050879],"domain_scores_gemma":[0.9995883,0.0001270734,0.00003235227,0.0001170386,0.00002924599,0.0001060643],"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":[0.000003560504,0.000003330733,0.00007663141,0.0001393835,0.00001588088,7.776977e-7,0.0002590698,0.9665881,0.0004327533,0.003773952,0.000001947552,0.0287046],"study_design_scores_gemma":[0.0001652392,0.00004538958,0.1036588,0.00008667567,0.000009804107,0.000002482523,0.00007364885,0.8945951,0.0003046437,0.0008923794,0.000005055371,0.0001608011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9057227,0.00003077112,0.09341148,0.00006905672,0.0001106599,0.0001005094,0.00001162355,0.000451329,0.00009186447],"genre_scores_gemma":[0.9993013,0.00009486826,0.0004123475,0.000008729393,0.00001983791,0.00001243047,0.00009646081,0.00003791192,0.00001615932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1035821,"threshold_uncertainty_score":0.7635772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007757008184337486,"score_gpt":0.1946719491460196,"score_spread":0.1869149409616821,"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."}}