{"id":"W4387325179","doi":"10.1016/j.compgeo.2023.105813","title":"Analytical solution for seismic response of vertical shaft with primary and secondary linings under SH wave excitation","year":2023,"lang":"en","type":"article","venue":"Computers and Geotechnics","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Structural engineering; Stiffness; Vibration; Parametric statistics; Seismic analysis; Displacement (psychology); Bending moment; Excitation; Finite element method; Beam (structure); Vertical displacement; Engineering; Mechanics; Physics; Acoustics; Mathematics","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":[0.0001958792,0.0001260038,0.000191571,0.0001291499,0.00004925877,0.00002494139,0.0000489108,0.0001385095,8.274134e-7],"category_scores_gemma":[0.00002185005,0.000114739,0.00003326505,0.0001821084,0.00008438822,0.00006147319,0.00003606818,0.0001686669,3.413852e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002627108,"about_ca_system_score_gemma":0.00001761639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002047879,"about_ca_topic_score_gemma":6.454401e-7,"domain_scores_codex":[0.9993609,0.00001124411,0.000170493,0.0001685449,0.0000947752,0.0001940389],"domain_scores_gemma":[0.9994789,0.0002892431,0.00001386721,0.0001177221,0.00002989851,0.00007034122],"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":[0.0006620212,0.00002540668,0.00002531324,0.00101389,0.0001708188,0.00001719809,0.0004095456,0.93214,0.007415866,0.007556476,0.003337107,0.04722636],"study_design_scores_gemma":[0.0004709506,0.0002242415,0.01612998,0.00006187728,0.00002737068,0.00002585024,0.00002081955,0.9793563,0.0001002942,0.002456758,0.0009773083,0.0001482817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4833964,0.0001076273,0.5158317,0.0002475465,0.00005584551,0.00009312756,0.000006806185,0.0002477124,0.00001324268],"genre_scores_gemma":[0.9933178,0.00007595589,0.006432335,0.00007486543,0.00002406556,0.000008824622,0.00002191345,0.00002225028,0.00002199642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5099214,"threshold_uncertainty_score":0.4678919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125386229170727,"score_gpt":0.2109513859714915,"score_spread":0.1996975236797842,"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."}}