{"id":"W4361009044","doi":"10.3390/math11071581","title":"A Self-Evolving Neural Network-Based Finite-Time Control Technique for Tracking and Vibration Suppression of a Carbon Nanotube","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Robustness (evolution); Control theory (sociology); Computer science; Controller (irrigation); Vibration; Convergence (economics); Artificial neural network; Control engineering; Sensitivity (control systems); Robust control; Carbon nanotube; Control system; Engineering; Control (management); Materials science; Artificial intelligence; Nanotechnology; Electronic engineering","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":[0.000251057,0.00009892127,0.0002184589,0.00003191146,0.00005582755,0.00002392818,0.00006420072,0.00005027382,0.00002956432],"category_scores_gemma":[0.0001072964,0.00007885957,0.00006794982,0.00013073,0.00001480194,0.00003708252,0.00002557049,0.00006662291,0.000001712884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005192529,"about_ca_system_score_gemma":0.00001671424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001990985,"about_ca_topic_score_gemma":1.341673e-7,"domain_scores_codex":[0.9993191,0.00002351405,0.0002411539,0.0001188579,0.0001119081,0.0001854794],"domain_scores_gemma":[0.9985681,0.00112245,0.00009985636,0.0001083954,0.0000496162,0.00005159783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000361451,0.002001385,0.007631072,0.005655135,0.0004818781,0.000009507167,0.002612534,0.02988447,0.6281596,0.2961026,0.001398485,0.02570182],"study_design_scores_gemma":[0.000431031,0.00007619599,0.00003485753,0.0001146723,0.00003939906,8.955625e-8,0.00002040437,0.947524,0.02434187,0.02728679,0.00004369882,0.0000870431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2327275,0.00003936955,0.7641112,0.0002618973,0.00008360844,0.001735413,0.00005959124,0.0001907966,0.0007907304],"genre_scores_gemma":[0.9745642,4.101609e-7,0.02517449,0.00001798145,0.00007046507,0.0001160536,0.00001455392,0.00001715224,0.00002468377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9176395,"threshold_uncertainty_score":0.32158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225229224607579,"score_gpt":0.2406627588515264,"score_spread":0.2284104666054506,"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."}}