{"id":"W4362660108","doi":"10.1016/j.istruc.2023.03.140","title":"Shake table real-time hybrid testing for shear buildings based on sliding mode acceleration control method","year":2023,"lang":"en","type":"article","venue":"Structures","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Program for Changjiang Scholars and Innovative Research Team in University; National Key Research and Development Program of China; National Natural Science Foundation of China; Guangzhou University; Ministry of Science and Technology of the People's Republic of China; Ministry of Education of the People's Republic of China","keywords":"Earthquake shaking table; Control theory (sociology); Acceleration; Sliding mode control; Controller (irrigation); Shake; Engineering; Displacement (psychology); Control system; Feed forward; Variable structure control; Nonlinear system; Computer science; Control engineering; Structural engineering; Control (management); Artificial intelligence; Physics","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":[0.0003868435,0.0001834432,0.0002757048,0.0001288371,0.0001526704,0.00009390954,0.0001284291,0.00006935383,0.00006126746],"category_scores_gemma":[0.0003078005,0.000168534,0.000057417,0.0002381312,0.000006375705,0.00008658312,0.000008379671,0.0000932381,0.00002697745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005679314,"about_ca_system_score_gemma":0.00002395945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001049077,"about_ca_topic_score_gemma":0.000001665448,"domain_scores_codex":[0.9989504,0.00004188196,0.0002692331,0.0002174525,0.000183893,0.0003371431],"domain_scores_gemma":[0.9988379,0.0007959479,0.00005116808,0.0002000198,0.00004742472,0.00006753646],"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":[0.00001084195,0.000001358498,0.0000634872,0.0001628303,0.00002448912,0.000002061311,0.0001164324,0.8855727,0.1033347,0.0003028052,0.005143388,0.005264896],"study_design_scores_gemma":[0.0004961782,0.00004245411,0.0003425205,0.0000714379,0.00001923685,0.000004603392,0.00002480499,0.9784737,0.01812602,0.001387171,0.0008325979,0.0001792622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2780967,0.00004539279,0.7030152,0.0001882967,0.001263729,0.001678522,0.0003479883,0.002907783,0.01245633],"genre_scores_gemma":[0.9670433,0.000001571208,0.03228803,0.00005802684,0.0002809727,0.00009161057,0.00005663895,0.00006313575,0.0001167418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6889465,"threshold_uncertainty_score":0.6872615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278776746611662,"score_gpt":0.2807276960973111,"score_spread":0.2579399286311945,"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."}}