{"id":"W4403936681","doi":"10.1109/icjece.2024.3469390","title":"A Cutting-Edge Deer Hunting Optimized Converter Control (DHOCC) Based Dynamic Wireless IPT System for EV Charging Applications","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Computer science; Humanities; Automotive engineering; Geography; Art; Engineering; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002657743,0.0002548415,0.0004571766,0.0005284597,0.00008767821,0.0002604654,0.000211547,0.0001153267,0.000003236051],"category_scores_gemma":[0.000008030673,0.0002522873,0.0001746322,0.0003240078,0.00001577569,0.0001553208,0.000002523703,0.000377157,0.000003159168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003440794,"about_ca_system_score_gemma":0.000215022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005066903,"about_ca_topic_score_gemma":0.0000321994,"domain_scores_codex":[0.9985889,0.00001881711,0.0005302335,0.0002004209,0.0001244005,0.0005372099],"domain_scores_gemma":[0.9989474,0.000308872,0.00003753879,0.000116451,0.0001062937,0.0004834824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004362947,0.00002496105,0.0006595604,0.006684285,0.00141003,0.0003903525,0.0008816832,0.8545793,0.01210671,0.007696379,0.0007324978,0.1147906],"study_design_scores_gemma":[0.0008458368,0.00005189861,0.00009913286,0.000625854,0.00008314776,0.0001956248,0.000008503876,0.9935566,0.000434009,0.000003964155,0.003832273,0.0002631811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01470551,0.003937257,0.9795955,0.00009614726,0.001041878,0.0003765719,0.0000230633,0.0002027583,0.00002127392],"genre_scores_gemma":[0.9957148,0.000008750471,0.00356568,0.00003389704,0.0005142806,0.00006917405,0.000004669016,0.00008234236,0.000006448695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9810092,"threshold_uncertainty_score":0.9999929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003285749331753136,"score_gpt":0.1679879622866796,"score_spread":0.1647022129549265,"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."}}