{"id":"W2963531496","doi":"","title":"1 Secure and Green SWIPT in Distributed Antenna Networks with Limited Backhaul Capacity","year":2016,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Qatar National Research Fund","keywords":"Computer science; Backhaul (telecommunications); Transmitter power output; Computer network; Wireless; Maximum power transfer theorem; Optimization problem; Distributed computing; Mathematical optimization; Algorithm; Channel (broadcasting); Telecommunications; Base station; Power (physics); Transmitter","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":[0.0006846691,0.0007826128,0.0008289894,0.0003516018,0.0004017615,0.001111325,0.0006870211,0.0008110216,0.001617543],"category_scores_gemma":[0.001772005,0.0003503776,0.0004087088,0.000828762,0.0007936308,0.001030591,0.0007589163,0.0007135658,0.0004244518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009688285,"about_ca_system_score_gemma":0.0006117416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001633038,"about_ca_topic_score_gemma":0.001369392,"domain_scores_codex":[0.9992587,0.0003922364,0.00001825462,0.0001157827,0.0001326112,0.00008246702],"domain_scores_gemma":[0.9993535,0.0004168949,0.0000801122,0.00004506204,0.00008362221,0.00002093548],"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":[0.00007412455,0.00002717681,0.0002604751,0.0001155254,0.00002406869,0.0001158835,0.00003954433,0.944313,0.004216574,0.02363395,0.001054092,0.02612565],"study_design_scores_gemma":[0.000004876042,0.00002660636,0.00005062694,0.000005347502,0.000004289019,0.00002979203,0.000008228397,0.9933965,0.0004606679,0.005538673,0.0004701128,0.000004298601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01503011,0.0007228059,0.9782778,0.0001802801,0.00004100867,0.0000343225,0.00005976909,0.0001291437,0.005524603],"genre_scores_gemma":[0.8600897,0.001211353,0.1333064,0.0001178569,0.00007476294,0.0001508091,0.0001066899,0.00005033343,0.004892018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001633038,"threshold_uncertainty_score":0.007029355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007580691687499441,"score_gpt":0.1631621586704989,"score_spread":0.1555814669829994,"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."}}