{"id":"W2106144599","doi":"10.1109/ccece.2011.6030603","title":"Approximate dynamic average-value model for controlled line-commuted converters","year":2011,"lang":"en","type":"article","venue":"","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Converters; Computer science; Transient (computer programming); Parametric statistics; Electric power system; Parametric model; Line (geometry); Frequency domain; Small-signal model; Control theory (sociology); Time domain; Power (physics); Electronic engineering; Bridge (graph theory); SIGNAL (programming language); Voltage; Engineering; Mathematics; Electrical engineering","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":[0.0003351133,0.0003857272,0.0007099481,0.0003074621,0.0002439128,0.0008441882,0.001402265,0.0006497636,0.001963525],"category_scores_gemma":[0.0008079162,0.0002291256,0.000499692,0.0004440937,0.0003665655,0.001447786,0.0002766283,0.0006074129,0.0004453063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005197832,"about_ca_system_score_gemma":0.0004226446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001654921,"about_ca_topic_score_gemma":0.001219642,"domain_scores_codex":[0.9997451,0.00005240964,0.00001259603,0.00004632993,0.0001223703,0.00002110247],"domain_scores_gemma":[0.9998185,0.0000834876,0.00002182098,0.00002817697,0.00004084868,0.000007151797],"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":[0.00004369483,0.00002084591,0.000267099,0.00004539308,0.00001865068,0.00008039592,0.00006965401,0.947086,0.008602185,0.02669864,0.0004636545,0.01660378],"study_design_scores_gemma":[0.000001982003,0.00001088326,0.00003475519,0.000001469188,0.000002633532,0.00001569329,0.000002748773,0.996695,0.0004994363,0.002186216,0.0005469967,0.000002083443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02063094,0.0002523565,0.9716567,0.0000670964,0.00002703104,0.0000273957,0.00008621249,0.0003672786,0.006885052],"genre_scores_gemma":[0.9561988,0.0005143158,0.03647599,0.00004852794,0.00002893549,0.0001090443,0.0001307616,0.00008226259,0.006411318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001963525,"threshold_uncertainty_score":0.00656867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234395472016448,"score_gpt":0.2333873622733138,"score_spread":0.2010434075531494,"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."}}