{"id":"W2979755842","doi":"10.1109/ccece.2019.8861757","title":"Power Transfer Efficiency Evaluation of Different Power Pads for Electric Vehicle’s Wireless Charging Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Wireless power transfer; Power (physics); Electrical engineering; Maximum power transfer theorem; Wireless; Electric power; Engineering; Electric vehicle; Power density; Electrical efficiency; Computer science; Automotive engineering; Telecommunications; Physics","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":[0.0006415062,0.0005281417,0.0004130038,0.0008145583,0.0002532923,0.0006410998,0.0005468428,0.0004329038,0.002265234],"category_scores_gemma":[0.001619725,0.0002002459,0.0003456829,0.0007295513,0.0002556918,0.00104216,0.0004208076,0.0002342303,0.0006394071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003322284,"about_ca_system_score_gemma":0.0001444688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002888264,"about_ca_topic_score_gemma":0.0002163915,"domain_scores_codex":[0.9993361,0.0001334734,0.0000551952,0.00008776084,0.0003055099,0.00008190115],"domain_scores_gemma":[0.999114,0.000248833,0.0001116584,0.0001228655,0.0003785251,0.00002415555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003587944,0.0004079571,0.01798862,0.001515142,0.0003061425,0.0007398493,0.0008151003,0.06635176,0.4586477,0.005304406,0.005934093,0.4384012],"study_design_scores_gemma":[0.00007155093,0.004764741,0.01848445,0.00007619057,0.0002430852,0.0009216682,0.0005650303,0.1066331,0.851621,0.000866859,0.01567505,0.00007733167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8721517,0.002003283,0.1112922,0.0002667341,0.0002479401,0.0001317604,0.0002214769,0.0008290821,0.01285577],"genre_scores_gemma":[0.9913941,0.0003807789,0.00507253,0.00002498803,0.00001029784,0.00003435192,0.0001033239,0.00003397947,0.002945582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002265234,"threshold_uncertainty_score":0.007578015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107974949886637,"score_gpt":0.2212376455571287,"score_spread":0.2101578960582624,"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."}}