{"id":"W2808653854","doi":"10.1109/tpel.2018.2846526","title":"Unbalanced Three-Phase &lt;inline-formula&gt; &lt;tex-math notation=\"LaTeX\"&gt;$LLC$&lt;/tex-math&gt; &lt;/inline-formula&gt; Resonant Converters: Analysis and Trigonometric Current Balancing","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Delta-Q Technologies (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ripple; Converters; Phasor; Engineering; Three-phase; Current (fluid); Power (physics); Topology (electrical circuits); Electronic engineering; Voltage; Control theory (sociology); Electrical engineering; Trigonometric functions; Filter (signal processing); Mathematics; Computer science; Physics; Electric power system","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":[0.0001753534,0.0004177761,0.0002798295,0.0004607159,0.0002516257,0.0009845678,0.0004391368,0.0003288387,0.01477141],"category_scores_gemma":[0.0005528513,0.000151114,0.0002595707,0.0005822479,0.0002748005,0.0008970735,0.0003094654,0.0003742037,0.003131916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003671436,"about_ca_system_score_gemma":0.0003076803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006405333,"about_ca_topic_score_gemma":0.0007756293,"domain_scores_codex":[0.9998863,0.00001730602,0.000007752867,0.0000197913,0.00005931359,0.000009545562],"domain_scores_gemma":[0.9998668,0.00003882633,0.00002887117,0.00002655322,0.00003383503,0.000005082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003271489,0.0001455024,0.002017728,0.0007376588,0.00003735822,0.0007043385,0.0003754803,0.1496379,0.239082,0.1731718,0.01146341,0.4222996],"study_design_scores_gemma":[0.00003070989,0.00008936939,0.0008123505,0.00004157541,0.00001777666,0.0007091325,0.0000937728,0.8793479,0.063907,0.03032301,0.02460559,0.00002186545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03128971,0.0001977777,0.9421585,0.0001348148,0.00008922847,0.00007295684,0.0002253072,0.001443664,0.02438801],"genre_scores_gemma":[0.7333785,0.0005354569,0.2518812,0.0001034855,0.00005394201,0.00009943695,0.0005236095,0.0007074239,0.0127168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01477141,"threshold_uncertainty_score":0.04941529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009111764997665169,"score_gpt":0.2509996208372989,"score_spread":0.2418878558396338,"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."}}