{"id":"W4404085617","doi":"10.18280/rcma.340503","title":"Active Vibration Control of Piezoelectric Composite Plates Using Gain Scheduling Method","year":2024,"lang":"fr","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Composite number; Piezoelectricity; Vibration; Vibration control; Active vibration control; Materials science; Structural engineering; Computer science; Acoustics; Composite material; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001957281,0.0004044957,0.0002277734,0.0001897675,0.0002067913,0.0002726642,0.0004664802,0.0002103308,0.0008469603],"category_scores_gemma":[0.0002735383,0.0001343346,0.0002134589,0.0001146021,0.0003087387,0.0001943628,0.0002444418,0.0003034958,0.0001217442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154289,"about_ca_system_score_gemma":0.0002677714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143946,"about_ca_topic_score_gemma":0.00119889,"domain_scores_codex":[0.9998931,0.00001531848,0.000004480589,0.0000257939,0.00005158747,0.000009659777],"domain_scores_gemma":[0.9998848,0.00004960894,0.00002205939,0.000006599988,0.00002964486,0.000007202211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003546923,0.0001503916,0.0005132863,0.0003060673,0.00005423046,0.0001878462,0.0001839719,0.4959029,0.3109659,0.007929134,0.0005605875,0.1828911],"study_design_scores_gemma":[0.00002678135,0.0002672712,0.0002807358,0.000007142322,0.00001207627,0.00003889201,0.00001242511,0.977458,0.02028323,0.0006684723,0.0009358714,0.000009144122],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04745471,0.0002946109,0.9490341,0.00004003269,0.00005448803,0.00003513586,0.000008674388,0.0002687305,0.002809491],"genre_scores_gemma":[0.9506513,0.0001601704,0.04734093,0.00001763778,0.00002054157,0.0000432995,0.00001137653,0.00001202953,0.001742686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001143946,"threshold_uncertainty_score":0.002833366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04536105679915554,"score_gpt":0.3009849253521594,"score_spread":0.2556238685530039,"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."}}