{"id":"W2807731348","doi":"10.1109/tpwrd.2018.2846264","title":"Multiport Modular Multilevel Converter for DC Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Converters; Modular design; Control reconfiguration; Electronic engineering; Modularity (biology); Engineering; Scalability; Network topology; Reliability (semiconductor); Power (physics); Computer science; Interconnection; Electrical engineering; Voltage; Embedded system; Telecommunications","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":[0.0001382181,0.0002184726,0.0002212025,0.0001588497,0.000181886,0.00004779012,0.0001058622,0.0001924474,0.00008954155],"category_scores_gemma":[0.000001988571,0.0002178041,0.0001248979,0.0001033891,0.0000456428,0.0002117322,4.715322e-7,0.0001617845,0.0003301924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000114949,"about_ca_system_score_gemma":0.00001638998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001471567,"about_ca_topic_score_gemma":0.00002471313,"domain_scores_codex":[0.9989265,0.00002085851,0.0003210821,0.0002651124,0.0001681631,0.000298297],"domain_scores_gemma":[0.9993476,0.00004322089,0.00003368121,0.0003105047,0.0001667792,0.00009827407],"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":[0.0006278525,0.0006617893,0.0000321877,0.001023108,0.001580952,0.00003258331,0.004578,0.4707402,0.4099751,0.0001260972,0.01479435,0.09582777],"study_design_scores_gemma":[0.0011387,0.000334227,0.00008915528,0.000112123,0.00004662136,0.00003206819,0.0001649918,0.9118077,0.05005904,0.000006567931,0.03579304,0.0004158192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07657209,0.00007508665,0.9163413,0.000008404242,0.00510742,0.0008680719,0.0001261497,0.0004650485,0.0004364164],"genre_scores_gemma":[0.9977217,0.0000168701,0.000600015,0.00004296694,0.0001768598,0.000410915,0.000003317477,0.00006853156,0.0009588589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9211496,"threshold_uncertainty_score":0.8881792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635079749869156,"score_gpt":0.2210475756768938,"score_spread":0.2046967781782023,"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."}}