{"id":"W2990600036","doi":"10.1109/tte.2019.2955251","title":"A New Wireless EV Charging System With Integrated DC–DC Magnetic Element","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inductor; Wireless; Electrical engineering; Battery (electricity); Electric vehicle; Voltage; Electromagnetic coil; Inductive charging; Constant current; Electronic engineering; Engineering; Computer science; Power (physics); Physics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001740218,0.0004264953,0.0003855291,0.0004406815,0.0001150978,0.00006501691,0.0002271056,0.0002031651,0.0001858411],"category_scores_gemma":[2.931708e-7,0.0004253113,0.0001217939,0.001039038,0.00002139856,0.0003004773,8.205566e-9,0.0004806298,0.0003001753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004236003,"about_ca_system_score_gemma":0.0001422845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002497335,"about_ca_topic_score_gemma":0.0005086026,"domain_scores_codex":[0.9977251,0.00006095598,0.0006951029,0.0005136704,0.0005336349,0.0004715591],"domain_scores_gemma":[0.9990485,0.00005196227,0.00008528059,0.000484816,0.0001489185,0.0001804888],"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":[0.0002840153,0.0001107189,0.000177813,0.0007106442,0.0002202307,0.000006232101,0.002237922,0.2044713,0.7385958,0.001722175,0.00006443245,0.05139866],"study_design_scores_gemma":[0.002352744,0.0005048469,0.002418631,0.0005148876,0.0002001801,0.00001365476,0.0007851565,0.04914577,0.9429458,0.000006315902,0.0003635145,0.0007484986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2315313,0.0001339975,0.7651304,0.00004946531,0.0005974775,0.00111837,0.00006051455,0.00105628,0.0003222325],"genre_scores_gemma":[0.9981487,0.00009883466,0.0006377848,0.00001883559,0.00004587873,0.0003017151,0.0001604965,0.0001355371,0.000452257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7666174,"threshold_uncertainty_score":0.9998199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005414464693259189,"score_gpt":0.1829368510320582,"score_spread":0.177522386338799,"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."}}