{"id":"W2597963303","doi":"10.1109/vtcfall.2016.7881084","title":"Measurement and Analysis of Available Ambient Radio Frequency Energy for Wireless Energy Harvesting","year":2016,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Energy harvesting; Radio frequency; Transmitter; Wireless; Energy (signal processing); Spectrum analyzer; Computer science; Electrical engineering; Environmental science; Telecommunications; Engineering; Physics; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002355175,0.0002770944,0.0003616694,0.0006026102,0.0003144428,0.0003972951,0.0003779686,0.0002574722,0.0006469011],"category_scores_gemma":[0.0004591696,0.0001191028,0.0001423171,0.000777082,0.0001958324,0.0002730177,0.0002963623,0.0001775664,0.000220705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001919374,"about_ca_system_score_gemma":0.0001303954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001243963,"about_ca_topic_score_gemma":0.003541019,"domain_scores_codex":[0.9995937,0.00005238976,0.00001406322,0.00006317706,0.0002356284,0.0000411043],"domain_scores_gemma":[0.9997934,0.00007365238,0.00001903153,0.00001864666,0.00008675484,0.000008511081],"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":[0.0004845767,0.0001263597,0.0894305,0.0003144995,0.0001047648,0.0006378233,0.0006317137,0.008992676,0.7878934,0.000333636,0.000518125,0.1105321],"study_design_scores_gemma":[0.0000393316,0.001105159,0.4153645,0.00005593102,0.0001997006,0.001297312,0.001613761,0.02596258,0.5463997,0.0004850675,0.007423494,0.0000534172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967117,0.0002326611,0.02936475,0.00002883467,0.0000171125,0.00003437837,0.000314806,0.0001321398,0.002758455],"genre_scores_gemma":[0.9941654,0.0001595486,0.004786477,0.00002008369,0.000005557125,0.00003051037,0.0001752056,0.00001552174,0.0006417864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001243963,"threshold_uncertainty_score":0.002473414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02308212848023157,"score_gpt":0.1952031647485029,"score_spread":0.1721210362682713,"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."}}