{"id":"W2134530818","doi":"10.5539/mas.v3n7p21","title":"Selection Criteria and Analysis of LCC Resonant DC – DC Converters for Automotive Applications","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"SSN College of Engineering","keywords":"Network topology; Automotive industry; Converters; Voltage; Power (physics); Topology (electrical circuits); Selection (genetic algorithm); Computer science; Electronic engineering; Electrical engineering; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009486792,0.0007817846,0.0007004153,0.001591205,0.0005521625,0.001050345,0.0005152824,0.0004222355,0.003159666],"category_scores_gemma":[0.00298899,0.0002525127,0.0003901822,0.001245229,0.0003472402,0.0005021917,0.0003716513,0.0003126486,0.0007765153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005958124,"about_ca_system_score_gemma":0.0004080762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005871388,"about_ca_topic_score_gemma":0.0008288085,"domain_scores_codex":[0.9990882,0.0001966678,0.00004054373,0.00005786106,0.0005586076,0.00005819309],"domain_scores_gemma":[0.9988055,0.0005813612,0.00009787004,0.00003614912,0.0004492351,0.00002982412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004274035,0.0001765263,0.003168939,0.0009283873,0.0001098807,0.0009750046,0.0004739453,0.2576683,0.1550139,0.1179588,0.006052403,0.4570464],"study_design_scores_gemma":[0.00004331877,0.0002628197,0.001537828,0.0001013445,0.00006714182,0.0005535625,0.0001535901,0.933268,0.02542842,0.02799891,0.01054286,0.00004233362],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08157395,0.001791934,0.8816116,0.0002307502,0.00003704493,0.0002661236,0.0001023435,0.0002933141,0.03409295],"genre_scores_gemma":[0.7818233,0.001112685,0.2089335,0.00008438413,0.00006932901,0.0003749657,0.0002059973,0.0001535088,0.007242246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003159666,"threshold_uncertainty_score":0.01057017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009615049254899867,"score_gpt":0.2573330698459513,"score_spread":0.2477180205910515,"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."}}