{"id":"W4383646130","doi":"10.36227/techrxiv.23587191.v1","title":"Balancing Flying Capacitor Multilevel Converters with Coupled Inductors: Models, Analysis, and Limitations","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Inductor; Converters; Ripple; Capacitor; Electronic engineering; Voltage; Computer science; Control theory (sociology); Topology (electrical circuits); Engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009871501,0.0002889222,0.0004228135,0.0004127658,0.00008577723,0.000146885,0.0001133884,0.0002024425,0.00001244882],"category_scores_gemma":[0.00002154275,0.0002582686,0.00008507184,0.0002921443,0.00002857764,0.0001459575,0.00007630694,0.0003396162,0.000005877934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000792612,"about_ca_system_score_gemma":0.00003648853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005210896,"about_ca_topic_score_gemma":0.001042875,"domain_scores_codex":[0.998951,0.00001680831,0.0002838203,0.0003558378,0.0001564415,0.0002361316],"domain_scores_gemma":[0.9993405,0.0001228171,0.00006322749,0.0002729456,0.0001050496,0.00009543174],"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":[0.000004850188,0.00000538064,0.0005334033,0.0001120921,0.001252831,0.000002874101,0.001022911,0.9926764,0.0004156333,0.00003356573,0.00008352203,0.00385656],"study_design_scores_gemma":[0.0003377256,0.000006397975,0.001985658,0.00006899022,0.0006256151,0.00000100062,0.0003269531,0.9961647,0.00004072675,0.00009823151,0.00001479468,0.0003292396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04225537,0.0003790246,0.9555911,0.00005212026,0.000378897,0.0003377122,0.00004821681,0.000804895,0.0001526817],"genre_scores_gemma":[0.9792547,0.0009542836,0.01900658,0.00002937025,0.00009673189,0.00009446185,0.0003626618,0.00006753127,0.0001336405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9369994,"threshold_uncertainty_score":0.9999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378578220493033,"score_gpt":0.2059029025207244,"score_spread":0.1680450804714211,"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."}}