{"id":"W1991807328","doi":"10.1002/stc.337","title":"Robust direct adaptive controller for the nonlinear highway bridge benchmark","year":2009,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Benchmark (surveying); Controller (irrigation); Nonlinear system; Parameterized complexity; Adaptive control; Artificial neural network; Supervisor; Computer science; Nonlinear control; Engineering; Control (management); Artificial intelligence; Algorithm; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002831061,0.000231179,0.0004255966,0.00003917323,0.0005427377,0.00007814298,0.0001282471,0.00009070484,0.000007645688],"category_scores_gemma":[0.00003463033,0.0001390494,0.0001038389,0.00008207104,0.00004180454,0.0001381223,0.000009508136,0.0002276056,0.000001560652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006073321,"about_ca_system_score_gemma":0.00002426476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005050687,"about_ca_topic_score_gemma":0.00001021903,"domain_scores_codex":[0.9987588,0.00003751124,0.0003531,0.0002267697,0.0001408193,0.000482978],"domain_scores_gemma":[0.9992668,0.0003130457,0.00005340607,0.0001235376,0.00007332969,0.0001698988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001473949,0.0000286119,0.00638204,0.000201322,0.0006486345,0.00000791055,0.0009275833,0.1796117,0.00473177,0.01552047,0.003591453,0.7868745],"study_design_scores_gemma":[0.003598372,0.0004508303,0.3091608,0.00003644457,0.00003938185,0.000005646717,0.00004054897,0.6830851,0.00007480072,0.0007799473,0.002472204,0.000255812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2772352,0.2259215,0.3631068,0.08347924,0.02291358,0.01627915,0.001172204,0.004327597,0.005564763],"genre_scores_gemma":[0.9958767,0.0003937361,0.001005757,0.0006212042,0.00196634,0.00005730226,0.000005754399,0.00001517512,0.0000580677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7866187,"threshold_uncertainty_score":0.5670271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04296270340918137,"score_gpt":0.2774277693995694,"score_spread":0.234465065990388,"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."}}