{"id":"W4381250759","doi":"10.1109/access.2023.3287331","title":"Improving Wireless Power Transfer Efficiency Considering Rectifier Input Impedance and Load Quality Factor","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wireless power transfer; Rectifier (neural networks); Electrical impedance; Input impedance; Capacitor; Computer science; Output impedance; Maximum power transfer theorem; Resistive touchscreen; Equivalent impedance transforms; Electronic engineering; Power factor; Series and parallel circuits; Series (stratigraphy); Power (physics); Electrical engineering; Wireless; Topology (electrical circuits); Engineering; Telecommunications; Physics; Voltage","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":[0.0004704619,0.0007580872,0.0005983305,0.0004874681,0.0002585755,0.0007806013,0.000610563,0.0005182343,0.001135571],"category_scores_gemma":[0.001327982,0.0002608474,0.0003813935,0.0006158571,0.0003756006,0.001460187,0.0006633069,0.0003792726,0.0006623306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003397648,"about_ca_system_score_gemma":0.0001787477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001603815,"about_ca_topic_score_gemma":0.0002280442,"domain_scores_codex":[0.9996358,0.00006746312,0.00002626078,0.0001000746,0.0001440619,0.00002635547],"domain_scores_gemma":[0.9996789,0.0001369159,0.00006468189,0.00004261103,0.00007128619,0.000005621436],"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":[0.0001376134,0.0001090737,0.001532559,0.0005380433,0.00006155779,0.0001411213,0.000200399,0.1579022,0.5329233,0.01057407,0.0006576404,0.2952223],"study_design_scores_gemma":[0.00005224956,0.0004363182,0.001487287,0.00005490558,0.000143576,0.0005469888,0.00009179524,0.6673409,0.312902,0.00791502,0.008987913,0.00004096456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02255088,0.0002371262,0.9735122,0.00003760991,0.00001084311,0.00002631095,0.000007810011,0.0002322503,0.003384987],"genre_scores_gemma":[0.7748082,0.000615604,0.2212563,0.00004410052,0.00003790802,0.00007096747,0.00003588251,0.0001438342,0.002987174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001135571,"threshold_uncertainty_score":0.003798842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492383506433656,"score_gpt":0.2867256657291633,"score_spread":0.2518018306648268,"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."}}