{"id":"W4407304419","doi":"10.1109/ecce55643.2024.10860994","title":"Optimized Model Predictive Control in Single-Phase Seven-Level Flying Capacitor Multilevel Converter for Bi-directional On-board Charger","year":2024,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Capacitor; Model predictive control; Phase (matter); Control (management); Computer science; Electronic engineering; Electrical engineering; Engineering; Physics; Voltage; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001959614,0.0004267251,0.0004697935,0.0003747292,0.00008973202,0.0001158966,0.0001744846,0.0002203185,0.0002591841],"category_scores_gemma":[0.00003332614,0.0003887319,0.0002158648,0.000142139,0.00005698677,0.0003456933,0.00001604889,0.0003236327,0.00007485627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003661408,"about_ca_system_score_gemma":0.00007299187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004248159,"about_ca_topic_score_gemma":0.00001038538,"domain_scores_codex":[0.9980928,0.00002913818,0.0004998643,0.0005343715,0.0002717922,0.0005719971],"domain_scores_gemma":[0.9991359,0.0003516845,0.00002874849,0.0002284456,0.0000822994,0.000172922],"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":[0.002092394,0.0008212596,0.0000540905,0.0007247231,0.001433791,0.00007037053,0.006118154,0.4688824,0.07678225,0.001301181,0.06969103,0.3720283],"study_design_scores_gemma":[0.006654875,0.0001236318,0.00003387747,0.0001873952,0.00004880554,0.000005315273,0.000136223,0.9888249,0.002388882,0.0001543374,0.000966126,0.0004755984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004727216,0.00009243967,0.989264,0.000216128,0.001997677,0.0009835275,0.0009694576,0.0007023081,0.001047282],"genre_scores_gemma":[0.9862935,0.000009418755,0.00982049,0.0008958287,0.0002684784,0.0007600751,0.00005207249,0.0001233131,0.001776846],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9815663,"threshold_uncertainty_score":0.9998565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04647967540856675,"score_gpt":0.2640228418835321,"score_spread":0.2175431664749654,"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."}}