{"id":"W2327740812","doi":"10.1109/tie.2016.2516968","title":"A Resilient Framework for Fault-Tolerant Operation of Modular Multilevel Converters","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Modular design; Converters; Fault tolerance; Capacitor; Computer science; Electronic engineering; Resilience (materials science); Engineering; Voltage; Fault (geology); Field-programmable gate array; Embedded system; Reliability engineering; 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":[0.0003716555,0.000661823,0.0003979074,0.0005271509,0.0004067006,0.0006479099,0.001215061,0.0004620478,0.001437807],"category_scores_gemma":[0.0004212563,0.0001902634,0.0004984346,0.0002354744,0.000544461,0.0007900188,0.0008206786,0.0007543144,0.0003656815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005391557,"about_ca_system_score_gemma":0.0005448411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035208,"about_ca_topic_score_gemma":0.001049185,"domain_scores_codex":[0.9997171,0.00004280687,0.00001919491,0.00005870993,0.0001255667,0.00003661965],"domain_scores_gemma":[0.9998761,0.00002276208,0.00002400201,0.00003444851,0.00003029535,0.00001242207],"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":[0.0001456911,0.00006540239,0.0003160333,0.0002789394,0.00006582677,0.0004575042,0.000278704,0.5985304,0.07207401,0.194905,0.002027104,0.1308553],"study_design_scores_gemma":[0.00002398617,0.0001801786,0.0001345018,0.00003002902,0.00002718586,0.0001303389,0.000025585,0.9485778,0.01245228,0.02810589,0.01028645,0.00002579779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007912094,0.0002544603,0.9889309,0.00004925251,0.00003062694,0.00004272058,0.00003124116,0.0007792694,0.001969463],"genre_scores_gemma":[0.6969016,0.0005058834,0.2997115,0.00007402096,0.00006807967,0.0001755007,0.0001297664,0.000104817,0.002328998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001437807,"threshold_uncertainty_score":0.004809976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953378694872097,"score_gpt":0.2475347203628125,"score_spread":0.2180009334140915,"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."}}