{"id":"W1921501717","doi":"10.1109/aps.2015.7304589","title":"Optimization and design sensitivity of SISO and MISO wireless power transfer systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Wireless power transfer; Transmitter; Sensitivity (control systems); Wireless; Maximum power transfer theorem; Computer science; Power (physics); Electrical impedance; Electronic engineering; Component (thermodynamics); Degradation (telecommunications); Transfer (computing); Control theory (sociology); Electrical engineering; Engineering; Telecommunications; Channel (broadcasting); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004849389,0.000155912,0.0002917404,0.00007150655,0.00001708267,0.00003717553,0.00003351806,0.0001088207,0.000003651208],"category_scores_gemma":[0.000006747822,0.0001457006,0.00001915895,0.0001002478,0.00004732887,0.0001691204,0.000006080832,0.00006542187,0.000001614038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002238087,"about_ca_system_score_gemma":0.00001531551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001482843,"about_ca_topic_score_gemma":0.00001877585,"domain_scores_codex":[0.999155,0.0001232332,0.0002435048,0.0001589361,0.0001614828,0.0001578678],"domain_scores_gemma":[0.9995438,0.00009454253,0.00000830933,0.000140556,0.00007806117,0.0001347659],"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":[0.00003011657,0.00002827494,0.001090989,0.0004688814,0.0001010338,0.000009833204,0.002648897,0.9736264,0.02024286,0.0009956388,0.000345111,0.0004120108],"study_design_scores_gemma":[0.000743033,0.00006662516,0.0002693355,0.0000907135,0.0000281127,0.00004491681,0.0006248023,0.985777,0.01203422,0.00000387045,0.00007898398,0.0002384494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2617573,0.0004896953,0.7363166,0.00001427068,0.0002131497,0.0002565484,0.000007572163,0.0001401645,0.0008047186],"genre_scores_gemma":[0.998655,0.00005170202,0.001184487,0.000004624697,0.00001851714,0.000009168798,0.000002453211,0.0000354124,0.00003868223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7368976,"threshold_uncertainty_score":0.5941499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190400624813944,"score_gpt":0.1928491045446842,"score_spread":0.1738090420632898,"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."}}