{"id":"W2108332599","doi":"10.1139/t05-022","title":"Importance of time step discretisation for nonlinear dynamic finite element analysis","year":2005,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Finite element method; Discretization; Nonlinear system; Finite element limit analysis; Time domain; Liquefaction; Geotechnical engineering; Extended finite element method; Mixed finite element method; Shear (geology); Geology; Engineering; Mechanics; Structural engineering; Mathematics; Mathematical analysis; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002513198,0.0001627766,0.0002986364,0.0003919347,0.00008198027,0.00003881472,0.0002440454,0.0001540515,0.0001749492],"category_scores_gemma":[0.00009774395,0.0001580413,0.0002581322,0.000403,0.00003650553,0.0000877862,0.000009981331,0.0003568565,0.000006424155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003735802,"about_ca_system_score_gemma":0.00009131929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002583809,"about_ca_topic_score_gemma":0.006395602,"domain_scores_codex":[0.99877,0.00001079401,0.0004948233,0.0001418675,0.0001765548,0.0004059447],"domain_scores_gemma":[0.999148,0.00007536543,0.00007189245,0.000233481,0.00007257763,0.0003986667],"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":[0.000003961866,0.000005275266,0.00003777814,0.0000131774,0.0001846435,0.000003389078,0.000007749654,0.9908217,0.0002553844,0.0001011881,0.0009010164,0.007664771],"study_design_scores_gemma":[0.000210622,0.00004523704,0.001745462,0.00001513571,0.0001668366,0.00001931986,0.000005883122,0.9646634,0.00006188261,0.0002362988,0.03265231,0.0001776417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02907697,0.0004304246,0.9684197,0.001025176,0.0001648379,0.0002284331,0.0003227586,0.0001633902,0.0001682561],"genre_scores_gemma":[0.9799845,0.00007223772,0.01944306,0.00007882021,0.0001927293,0.00001044043,0.00009115744,0.00003054232,0.00009657787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9509075,"threshold_uncertainty_score":0.6444736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004267155482864406,"score_gpt":0.205288801452874,"score_spread":0.2010216459700096,"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."}}