{"id":"W4310450702","doi":"10.1109/ecce50734.2022.9948120","title":"A High Step-Up Multi-Mode Resonant Switched-Resonator Converter","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Energy Conversion Congress and Exposition (ECCE)","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Switched capacitor; Converters; Buck converter; Resonator; Pulse-width modulation; Electronic engineering; Boost converter; Buck–boost converter; Capacitor; Ćuk converter; Voltage; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001385565,0.000428638,0.0004463337,0.0002755022,0.0005357162,0.00007236756,0.0003280289,0.0001372213,0.002238486],"category_scores_gemma":[0.000008216083,0.000474435,0.0001510195,0.0002932567,0.0001109588,0.0003896686,0.0002360411,0.0004079157,0.00005305171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000314923,"about_ca_system_score_gemma":0.00004370777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003561577,"about_ca_topic_score_gemma":0.00004057983,"domain_scores_codex":[0.9976713,0.0001408713,0.0004589664,0.0006390613,0.0005476197,0.0005421544],"domain_scores_gemma":[0.9989232,0.0001216235,0.0001211759,0.0004568766,0.00008318628,0.0002939769],"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":[0.001329839,0.0004704634,0.001141251,0.0003998241,0.0008891366,0.00086051,0.003407289,0.00824777,0.210366,0.007600831,0.1152395,0.6500476],"study_design_scores_gemma":[0.004509727,0.0002113943,0.0001837779,0.00004965174,0.0000784854,0.00007513568,0.001575424,0.8485959,0.01754993,0.00008282955,0.1262039,0.000883843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3465991,0.004071232,0.618302,0.001012556,0.02654479,0.0008393042,0.0006531958,0.001723242,0.0002545632],"genre_scores_gemma":[0.9942532,0.0005187207,0.0006222907,0.0009299468,0.0001439742,0.0002192309,0.0002280672,0.0001033917,0.002981207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8403481,"threshold_uncertainty_score":0.9997708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00781898138324449,"score_gpt":0.2110476012724397,"score_spread":0.2032286198891952,"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."}}