{"id":"W3162450293","doi":"10.1109/cicc51472.2021.9431543","title":"An Analog Low-Power Highly-Accurate Link-Adaptive Energy Storage Efficiency Maximizer for Resonant CM Wireless Power Receivers","year":2021,"lang":"en","type":"article","venue":"","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Energy storage; Computer science; Power (physics); Electrical engineering; Voltage; Wireless; Transmission (telecommunications); Maximum power principle; Energy (signal processing); Electromagnetic coil; Efficient energy use; Electronic engineering; Energy harvesting; Electrical efficiency; Engineering; Physics; Telecommunications","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":[0.0004071099,0.0005536869,0.0004015501,0.0002369864,0.00028011,0.0009483967,0.001699876,0.0006335274,0.007682586],"category_scores_gemma":[0.0006103005,0.0002217162,0.0002736917,0.0002618708,0.0003586788,0.0006791151,0.0005601189,0.0005868705,0.002271632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007202615,"about_ca_system_score_gemma":0.0002209965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002603122,"about_ca_topic_score_gemma":0.0006181352,"domain_scores_codex":[0.9997162,0.0000441543,0.00001325037,0.00008267334,0.0001118701,0.00003181286],"domain_scores_gemma":[0.9998133,0.00006108401,0.0000429316,0.00002221738,0.00004583436,0.00001466402],"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":[0.0004213934,0.0001775179,0.0008613101,0.000707384,0.00009129669,0.0003343854,0.0003032449,0.03074207,0.7260305,0.04269265,0.01176284,0.1858754],"study_design_scores_gemma":[0.00009885234,0.001246571,0.0009785342,0.0001437051,0.0001641721,0.0007044801,0.00008843051,0.5733638,0.356495,0.007866411,0.05874978,0.0001000766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04671378,0.001238326,0.9130439,0.0009195438,0.0002517189,0.0001945589,0.0001443909,0.002815511,0.03467819],"genre_scores_gemma":[0.7586175,0.0006639537,0.2113338,0.0006710042,0.0001930133,0.0001554124,0.00009954829,0.0003436855,0.02792205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007682586,"threshold_uncertainty_score":0.02570081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009669122818285577,"score_gpt":0.2113535274090813,"score_spread":0.2016844045907957,"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."}}