{"id":"W2513243308","doi":"10.1109/mwsym.2016.7540080","title":"High efficiency GaN HEMT synchronous rectifier with an octave bandwidth for wireless power applications","year":2016,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kelowna General Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Keysight Technologies","keywords":"Power bandwidth; Amplifier; RF power amplifier; Rectifier (neural networks); Electrical engineering; Wideband; Bandwidth (computing); Power-added efficiency; Electronic engineering; Precision rectifier; Computer science; Power factor; Engineering; Telecommunications; Voltage","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001221548,0.0002265146,0.000203144,0.00006594228,0.0001242804,0.00004598042,0.0002523996,0.0001243185,0.0001218328],"category_scores_gemma":[0.00001099553,0.0001495679,0.00003973156,0.0002075719,0.00008024267,0.0001799365,0.00001455941,0.0000946737,0.00003073172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001014693,"about_ca_system_score_gemma":0.00002983934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002315684,"about_ca_topic_score_gemma":0.0001407512,"domain_scores_codex":[0.9988474,0.00001517895,0.0002183104,0.0003529228,0.0001381863,0.0004280645],"domain_scores_gemma":[0.9989539,0.0002287198,0.0000391295,0.0005350183,0.00009464708,0.000148525],"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":[0.0002059993,0.0006247125,0.002272719,0.0002889049,0.00039071,0.00001765983,0.0005779967,0.5389488,0.03728316,0.1288336,0.007922684,0.2826331],"study_design_scores_gemma":[0.01578973,0.005290811,0.0108775,0.001949783,0.0004981534,0.0003614251,0.0006447762,0.4247672,0.3695132,0.008928715,0.1513781,0.01000063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1740152,0.00004143726,0.8180152,0.00008706754,0.0002079584,0.0004140917,0.00001328993,0.0009842082,0.006221529],"genre_scores_gemma":[0.9825671,0.0000171499,0.01536261,0.00004299615,0.0002214067,0.0004660712,0.00001530109,0.0001013798,0.001205989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8085518,"threshold_uncertainty_score":0.6099202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004977727741263887,"score_gpt":0.195294189058391,"score_spread":0.1903164613171271,"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."}}