{"id":"W2554796739","doi":"10.1049/el.2016.3450","title":"Efficiency improvement of WPT system using inexpensive auto‐adaptive impedance matching","year":2016,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Impedance matching; Electrical impedance; Electronic engineering; Matching (statistics); Computer science; Engineering; Electrical engineering; Mathematics","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":[0.0002024064,0.0002611589,0.0003510241,0.0001273057,0.00005387209,0.00001788461,0.0002673243,0.00007160445,0.00000345127],"category_scores_gemma":[0.000004778998,0.0002148157,0.0001053315,0.0001899222,0.00004485047,0.0001698571,0.0000256205,0.0001734488,0.00001358763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009656713,"about_ca_system_score_gemma":0.00006061667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000689095,"about_ca_topic_score_gemma":0.0000157636,"domain_scores_codex":[0.9982726,0.00003374793,0.0004559988,0.0002783652,0.0003097206,0.0006495547],"domain_scores_gemma":[0.9993754,0.00007466138,0.00008476118,0.000347508,0.00005331873,0.00006434174],"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":[0.00001114188,0.000008284136,0.00002560784,0.0001679715,0.00009118439,0.000006314873,0.0006407042,0.01257422,0.9834015,0.001760764,0.00006424422,0.001248022],"study_design_scores_gemma":[0.001212287,0.0002206426,0.00006050385,0.0008878412,0.00005979655,0.00003357389,0.0005066853,0.06453686,0.9315356,0.00003223545,0.0002624897,0.0006515017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6221132,0.0004120723,0.3764195,0.00009328681,0.0004097697,0.0002381732,0.000009579303,0.0002042281,0.0001001771],"genre_scores_gemma":[0.9993312,0.00001854442,0.0003898896,0.0000564975,0.00009983018,0.00002329262,0.000001011735,0.0000720282,0.000007744165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3772179,"threshold_uncertainty_score":0.8759929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006128652770133363,"score_gpt":0.1899802972370584,"score_spread":0.1838516444669251,"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."}}