{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001711358,0.0001186654,0.0002116392,0.0003336474,0.0001323985,0.00003269692,0.0001901434,0.00003715527,0.000005604908],"category_scores_gemma":[0.00001066628,0.00012343,0.00004128714,0.001189266,0.0001893919,0.0001630368,0.0000188883,0.00005708498,0.000001616387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009697876,"about_ca_system_score_gemma":0.00002552897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002497838,"about_ca_topic_score_gemma":0.000005894853,"domain_scores_codex":[0.9990345,0.000003498439,0.0001854746,0.0003392686,0.000182643,0.0002545691],"domain_scores_gemma":[0.9995369,0.00004019978,0.00004610311,0.0002047197,0.00008803247,0.00008404162],"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":[0.00001100581,0.00001417074,0.00004587571,0.00001288127,0.00003534979,7.123519e-8,0.0005893014,0.003143203,0.7520894,0.001371233,0.00001709703,0.2426704],"study_design_scores_gemma":[0.0001756146,0.00002221214,0.003757828,0.000003211203,0.00009202175,6.71233e-7,0.00004869052,0.9682983,0.02490604,0.002420421,0.0001447995,0.0001301644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02123485,0.00003316146,0.9777352,0.00004769754,0.00002941338,0.0003862981,0.00002048091,0.0001417717,0.0003711433],"genre_scores_gemma":[0.9875551,0.0000100078,0.01220859,0.00008457223,0.00001056017,0.00009628571,0.000007403015,0.000009199871,0.00001824688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9663203,"threshold_uncertainty_score":0.503333,"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."}}