{"id":"W2559981309","doi":"10.1109/imcet.2016.7777438","title":"The 4Q-switch commutation issues in matrix conversion systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Agence Universitaire de la Francophonie; Canada Research Chairs","keywords":"Commutation; Commutation cell; Topology (electrical circuits); Computer science; Quadrant (abdomen); Power (physics); Matrix (chemical analysis); Switching power; Engineering; Electronic engineering; Electrical engineering; Switched-mode power supply; Voltage; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001109876,0.00007271623,0.00007792548,0.00003300882,0.00003960057,0.0000360306,0.0001140155,0.00004008933,0.00005899392],"category_scores_gemma":[0.000005343175,0.00003736627,0.00001998345,0.00004942117,0.00001966229,0.0001089093,0.00001334805,0.00003926655,0.0002350124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005766603,"about_ca_system_score_gemma":0.00000383075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002817403,"about_ca_topic_score_gemma":0.00005548318,"domain_scores_codex":[0.9995393,0.00002149958,0.0001409211,0.00006704184,0.00008730238,0.0001439398],"domain_scores_gemma":[0.9997025,0.00009459152,0.00001226642,0.0001482018,0.00001559207,0.00002688422],"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":[0.0001071043,0.00006006446,0.04847607,0.0004629802,0.0001983401,0.00003696113,0.003809554,0.003976015,0.05921798,0.02326287,0.2248424,0.6355497],"study_design_scores_gemma":[0.000752372,0.00001542885,0.003955057,0.0001021365,0.000004515615,0.000003450511,0.001116192,0.9467574,0.003811646,0.0001133966,0.04318424,0.0001841648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7122973,0.005306377,0.2371692,0.009471926,0.007444054,0.001568503,0.00002118617,0.001632876,0.02508861],"genre_scores_gemma":[0.9970366,0.0003002394,0.0000309349,0.00002839787,0.0000260524,0.00001348091,0.000001025605,0.00001106772,0.002552153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9427814,"threshold_uncertainty_score":0.3020687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008664608098527253,"score_gpt":0.2278174635576076,"score_spread":0.2191528554590803,"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."}}