{"id":"W2082658991","doi":"10.1109/ecce.2014.6953722","title":"A bidirectional multiple-input multiple-output modular multilevel DC-DC converter","year":2014,"lang":"en","type":"article","venue":"","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Modular design; Electronic engineering; Topology (electrical circuits); Computer science; Forward converter; MIMO; Boost converter; Multiplexing; Voltage; Power (physics); Control theory (sociology); Engineering; Electrical engineering; Control (management); Physics","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":[0.0001006261,0.0001879771,0.0002560123,0.0002816079,0.0002617752,0.0004182019,0.0004743223,0.0002486465,0.002483226],"category_scores_gemma":[0.0001472684,0.000108293,0.0001924037,0.0003048138,0.0001181988,0.0003605832,0.0002559198,0.0003674566,0.0006231418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002143508,"about_ca_system_score_gemma":0.0002089494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002977452,"about_ca_topic_score_gemma":0.0006160132,"domain_scores_codex":[0.9998914,0.00001081589,0.000005015062,0.00001875589,0.00006163412,0.00001235032],"domain_scores_gemma":[0.9999268,0.000009406399,0.00001112152,0.00001254387,0.0000304462,0.000009783458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001895252,0.0001354751,0.001273477,0.0005841468,0.00005600864,0.0006121269,0.0001104237,0.0371106,0.5720572,0.04515261,0.00672005,0.3359983],"study_design_scores_gemma":[0.0001344044,0.0007150556,0.002968245,0.0001373998,0.0001125447,0.002142587,0.00008483049,0.6362413,0.2646314,0.01072239,0.08201715,0.00009263214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0954859,0.0009268331,0.862897,0.0003369451,0.0002426446,0.0001618812,0.0003973923,0.002216906,0.03733448],"genre_scores_gemma":[0.8744512,0.0004317556,0.1189963,0.0001290599,0.00007739187,0.00007933393,0.0002068923,0.00004045794,0.005587618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002483226,"threshold_uncertainty_score":0.008307219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461858788138041,"score_gpt":0.2081274800849328,"score_spread":0.1935088922035524,"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."}}