{"id":"W2979770435","doi":"10.1109/ccece.2019.8861908","title":"Design of a Ferrite-Less Power Pad for Wireless Charging Systems of Electric Vehicles","year":2019,"lang":"en","type":"article","venue":"","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ferrite (magnet); Electrical engineering; Wireless; Ferrite core; Automotive engineering; Electric vehicle; Inductive charging; Computer science; Engineering; Materials science; Power (physics); Telecommunications; Physics; Electromagnetic coil","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":[],"consensus_categories":[],"category_scores_codex":[0.0003873894,0.0002265678,0.0006253053,0.0002370798,0.00001757045,0.00002037234,0.0002821776,0.0001417956,0.00001665023],"category_scores_gemma":[0.000005912058,0.000212499,0.0001133782,0.0003253462,0.00001639819,0.0001310017,0.00001072771,0.0001026211,0.00001890587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005630243,"about_ca_system_score_gemma":0.00003521983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009462491,"about_ca_topic_score_gemma":0.000002705241,"domain_scores_codex":[0.9984933,0.00005354038,0.0005982955,0.0002184555,0.0002593654,0.0003770259],"domain_scores_gemma":[0.9991066,0.0002620845,0.000071216,0.0003626271,0.0001367312,0.00006076248],"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":[0.00006085703,0.00005575639,0.003046039,0.003133462,0.0002238829,0.000001059424,0.0008613318,0.05570881,0.9316776,0.004372591,0.0003485114,0.0005100731],"study_design_scores_gemma":[0.001492853,0.0002634174,0.0005726864,0.0005393275,0.0000428674,0.000008374895,0.0007366523,0.5200194,0.4756524,0.00001775654,0.0001787988,0.0004754617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6392324,0.0006789351,0.3576298,0.000005249612,0.0005090583,0.001077411,0.00002251046,0.0001735453,0.0006710878],"genre_scores_gemma":[0.9993094,0.00002777409,0.0003128517,0.000003641185,0.00002740712,0.00009747151,0.000005512429,0.00006645842,0.0001494437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4643106,"threshold_uncertainty_score":0.8665459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511979979559225,"score_gpt":0.2047192493346261,"score_spread":0.1895994495390338,"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."}}