{"id":"W1977208696","doi":"10.1115/detc2005-85220","title":"On the Placement of Active Bars and Optimal Feedback Gain in Random Adaptive Structures for Vibration Suppression","year":2005,"lang":"en","type":"article","venue":"","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Concordia University","funders":"","keywords":"Randomness; Control theory (sociology); Probabilistic logic; Optimal control; Interval (graph theory); Minification; Computer science; Vibration; Reliability (semiconductor); Vibration control; Active vibration control; Displacement (psychology); Simulated annealing; Engineering; Mathematical optimization; Mathematics; Control (management); Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006092844,0.0005133119,0.0003498631,0.0002798015,0.0002159609,0.0003008102,0.0004325603,0.0005760737,0.0007238208],"category_scores_gemma":[0.002462831,0.0003644533,0.0002265676,0.0002320001,0.0007945161,0.0005830742,0.0003558736,0.0003333268,0.0001358222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003200346,"about_ca_system_score_gemma":0.0003258186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007291225,"about_ca_topic_score_gemma":0.001035428,"domain_scores_codex":[0.9996933,0.0001196738,0.00001157001,0.00005417166,0.00009815228,0.0000231815],"domain_scores_gemma":[0.9991554,0.0005908431,0.000123837,0.00003778193,0.00007727443,0.00001476224],"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":[0.00005552328,0.00002823228,0.0001761113,0.00008328579,0.00001230095,0.00003861259,0.00005287892,0.9346446,0.01670272,0.01831047,0.0001827906,0.02971237],"study_design_scores_gemma":[0.000006817936,0.00007088886,0.0000802381,0.000005981947,0.000006366815,0.00001401956,0.000007135671,0.9940985,0.002138131,0.003295546,0.000271279,0.000005033837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02304518,0.0003053246,0.9751116,0.00008536488,0.00001426887,0.00001637845,0.000004780557,0.00005278755,0.001364358],"genre_scores_gemma":[0.890665,0.0003995766,0.1075526,0.00003969496,0.00002841121,0.00006607078,0.000009906124,0.00002641172,0.001212353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007291225,"threshold_uncertainty_score":0.003222227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00844467638713941,"score_gpt":0.212695841797206,"score_spread":0.2042511654100665,"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."}}