{"id":"W1982067124","doi":"10.1109/iscas.2014.6865568","title":"Efficiency enhancement techniques and a dual-band approach in RF rectifiers for wireless power harvesting","year":2014,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"CMOS; Electronic engineering; Rectifier (neural networks); Computer science; Switched capacitor; Radio frequency; Capacitor; Transistor; Electrical engineering; Wireless; Capacitance; Multi-band device; Voltage; Engineering; Telecommunications; Physics; Antenna (radio)","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":[0.0005855642,0.0001956419,0.0002250905,0.0001175813,0.00006775762,0.00006537328,0.00009956802,0.0001078362,0.000005235709],"category_scores_gemma":[0.00006221335,0.0001901626,0.00002802289,0.0002048692,0.00005410629,0.0001191667,0.00002722817,0.0001715664,8.095576e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005925575,"about_ca_system_score_gemma":0.000008375402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003555052,"about_ca_topic_score_gemma":0.00003062761,"domain_scores_codex":[0.9988973,0.00002699761,0.0002870132,0.0003016114,0.0001086413,0.0003784584],"domain_scores_gemma":[0.9994287,0.0002380635,0.00003650941,0.0001968724,0.00002927589,0.00007055965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001053791,0.0005065424,0.007844604,0.002047878,0.0001521029,0.00001945803,0.003383056,0.326984,0.1337481,0.03221403,0.004607691,0.4883872],"study_design_scores_gemma":[0.001078713,0.0002633702,0.000566854,0.0004548095,0.00001746137,0.00003417235,0.0001864871,0.8111496,0.1766057,0.000371332,0.008362425,0.0009091393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4954893,0.0001460456,0.4303884,0.00001983749,0.0001765501,0.0003721654,8.257986e-7,0.0006131117,0.07279377],"genre_scores_gemma":[0.9610317,0.00003087633,0.03800765,0.00003652947,0.00008611645,0.0002207301,0.000004993174,0.00004972828,0.0005316834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.487478,"threshold_uncertainty_score":0.7754604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007994122172194133,"score_gpt":0.2093927036167952,"score_spread":0.2013985814446011,"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."}}