{"id":"W3202907518","doi":"10.1002/cta.3117","title":"Multi‐input multi‐phase transformerless large voltage conversion ratio DC/DC converter","year":2021,"lang":"en","type":"article","venue":"International Journal of Circuit Theory and Applications","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Integrating ADC; Boost converter; Voltage; Ripple; Ćuk converter; Buck–boost converter; Electrical engineering; Capacitor; Duty cycle; Forward converter; Negative impedance converter; Topology (electrical circuits); Electronic engineering; Materials science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001446636,0.0002716084,0.0002945791,0.0004301834,0.0002392756,0.000750027,0.0008799587,0.0003100094,0.004499025],"category_scores_gemma":[0.0002377502,0.0001765132,0.0002444527,0.0003760883,0.000161907,0.0006539763,0.0002661201,0.0004393853,0.000892386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002553098,"about_ca_system_score_gemma":0.0001858724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002199246,"about_ca_topic_score_gemma":0.0003305426,"domain_scores_codex":[0.9997297,0.00003084772,0.00001728525,0.00005819492,0.0001438683,0.00002009476],"domain_scores_gemma":[0.9998374,0.0000276009,0.00001736535,0.00003686392,0.00007038115,0.0000103776],"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":[0.0003707026,0.0002479792,0.001241764,0.000611826,0.00007355729,0.0004532327,0.000123834,0.01505313,0.6470025,0.02033978,0.003815567,0.3106661],"study_design_scores_gemma":[0.0002921804,0.0009283013,0.002664183,0.0001113794,0.0001174318,0.003111895,0.00009379803,0.4432679,0.4909764,0.01084735,0.04751704,0.00007217159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08047996,0.0007452665,0.8834432,0.0002531449,0.0002460094,0.0001631873,0.0001451498,0.00270091,0.0318232],"genre_scores_gemma":[0.9268481,0.0002377038,0.06318668,0.0001500665,0.00006907917,0.00005643511,0.0001161767,0.00005570745,0.009280021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004499025,"threshold_uncertainty_score":0.01505071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252622485026191,"score_gpt":0.2734597256879417,"score_spread":0.2609335008376798,"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."}}