{"id":"W2964830021","doi":"10.1109/isie.2019.8781087","title":"Capacitance Estimation in Modular Multilevel Converters Under Nearest Level Modulation Scheme","year":2019,"lang":"en","type":"article","venue":"","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Capacitor; Electrolytic capacitor; Capacitance; Converters; Ripple; Electronic engineering; Modular design; Voltage; Reliability (semiconductor); Controller (irrigation); Computer science; Engineering; Topology (electrical circuits); Control theory (sociology); Electrical engineering; Power (physics); Control (management); Physics; Electrode","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":[0.0002529245,0.0003208613,0.0002945002,0.0005554829,0.0003832543,0.0004823193,0.000442008,0.0003253425,0.0005513871],"category_scores_gemma":[0.001029175,0.0001313784,0.0001742942,0.0005185686,0.0002068421,0.0005348876,0.0003455817,0.0002503817,0.00008611562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000436804,"about_ca_system_score_gemma":0.000289959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956867,"about_ca_topic_score_gemma":0.002141191,"domain_scores_codex":[0.9996725,0.00006051373,0.00001595973,0.00006669091,0.0001610941,0.00002314675],"domain_scores_gemma":[0.9997124,0.0000945397,0.00008869071,0.0000262871,0.00006430744,0.00001367395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003667302,0.00009551142,0.003761414,0.0002333864,0.00005597979,0.0003251877,0.0002566469,0.3447596,0.1173837,0.009797215,0.00110881,0.5218558],"study_design_scores_gemma":[0.00001497673,0.0001258779,0.001256888,0.00001125658,0.00001398082,0.00009857016,0.00002221361,0.9820809,0.01343319,0.002056997,0.0008721206,0.00001310786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1237744,0.0006004071,0.8711999,0.0001693495,0.00004195966,0.00005962158,0.00003806549,0.0004158026,0.003700412],"genre_scores_gemma":[0.9731439,0.0001035418,0.02638456,0.0000139682,0.00001334413,0.0000121145,0.00001081165,0.000006790823,0.0003109973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001956867,"threshold_uncertainty_score":0.003890991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102732497116029,"score_gpt":0.2187167717020237,"score_spread":0.1976894467308634,"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."}}