{"id":"W3016528920","doi":"10.1109/tpwrd.2019.2956723","title":"A Hybrid Three-Level and Modular Multilevel Converter With DC Fault Blocking Capability and Reduced Semiconductor Losses","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Opal-Rt Technologies (Canada); Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voltage; Engineering; Fault (geology); Blocking (statistics); Electronic engineering; Harmonic; HVDC converter; Electrical engineering; Modular design; Buck–boost converter; Topology (electrical circuits); Control theory (sociology); Boost converter; Computer science; Physics; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008758557,0.0002308661,0.0002795428,0.0003089884,0.0002358019,0.0003995365,0.0006299621,0.0003167572,0.002340248],"category_scores_gemma":[0.00008894554,0.000111628,0.0003307258,0.0003890675,0.0001099816,0.000423014,0.000252135,0.0003626699,0.000478424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427894,"about_ca_system_score_gemma":0.0002383714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000622205,"about_ca_topic_score_gemma":0.001244347,"domain_scores_codex":[0.9998875,0.00001087051,0.000006323141,0.00002079424,0.00005937241,0.00001512942],"domain_scores_gemma":[0.9999392,0.000006610866,0.00001105433,0.00001206262,0.00002225237,0.000008709051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003065339,0.000179458,0.001379428,0.0005110816,0.0001088217,0.0004899701,0.0001240248,0.03169962,0.6206272,0.01573153,0.003793217,0.3250492],"study_design_scores_gemma":[0.0002489959,0.001232407,0.006472464,0.00009290136,0.0001604635,0.002600466,0.00008961493,0.6379626,0.2952186,0.008267182,0.047564,0.00009027938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1902014,0.001009138,0.7832604,0.0002034106,0.0001045603,0.0001337404,0.0002993003,0.002344706,0.02244331],"genre_scores_gemma":[0.9232267,0.0002546243,0.07245854,0.00008898502,0.00003629072,0.00005794144,0.0001844644,0.00004036071,0.003652111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002340248,"threshold_uncertainty_score":0.007828951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431266615345146,"score_gpt":0.2038227069656505,"score_spread":0.179510040812199,"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."}}