{"id":"W2990207295","doi":"10.23919/epe.2019.8915022","title":"Efficiency improvement of a wireless power transfer system using a receiver side voltage doubling rectifier","year":2019,"lang":"en","type":"article","venue":"","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Wireless power transfer; Rectifier (neural networks); Voltage doubler; Transmitter; Electrical engineering; Electromagnetic coil; Voltage; Electronic engineering; Engineering; Computer science; Voltage divider; Channel (broadcasting); Dropout 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":[0.0002974606,0.0002544903,0.0004165378,0.0001794987,0.0001322745,0.0004820796,0.0005657953,0.0003662579,0.001359339],"category_scores_gemma":[0.0004108591,0.0001621945,0.0003446788,0.0002138998,0.0002159618,0.0007088803,0.0002655167,0.0002784382,0.0007772719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148754,"about_ca_system_score_gemma":0.0001030299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001163903,"about_ca_topic_score_gemma":0.00009712013,"domain_scores_codex":[0.9997811,0.0000463613,0.00001523599,0.00004151934,0.00009832506,0.00001746772],"domain_scores_gemma":[0.9998554,0.00005370378,0.00002010831,0.00002746892,0.00003922946,0.000004016345],"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":[0.000255466,0.00009017553,0.0008966867,0.0004495977,0.00005348699,0.0002823168,0.0001951404,0.04956241,0.8159854,0.00532837,0.0007220093,0.1261789],"study_design_scores_gemma":[0.00004103213,0.0007501689,0.001312399,0.00003121753,0.00007745862,0.0006420458,0.00004645423,0.2648893,0.7206387,0.001080454,0.01046059,0.00003010142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.288344,0.0005680061,0.696128,0.0001447632,0.000070113,0.00009493946,0.00005354527,0.000905958,0.01369072],"genre_scores_gemma":[0.9630792,0.0003229711,0.03236272,0.00002836439,0.00001636503,0.00002701695,0.00004867752,0.00005622843,0.004058439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001359339,"threshold_uncertainty_score":0.004547477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008557934670976732,"score_gpt":0.1962832022357797,"score_spread":0.187725267564803,"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."}}