{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010781,0.0002157122,0.0002179138,0.00006137689,0.00003131777,0.00002749878,0.00012033,0.0001667791,0.00003381872],"category_scores_gemma":[0.00002161114,0.0001384348,0.00001887122,0.0003310852,0.0000882764,0.0001732192,0.00003919149,0.0002190647,0.000004278605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006209267,"about_ca_system_score_gemma":0.000006186181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001453523,"about_ca_topic_score_gemma":0.002267634,"domain_scores_codex":[0.9990194,0.00003022773,0.0001993162,0.0002357371,0.0001032126,0.0004120669],"domain_scores_gemma":[0.9994079,0.0001653077,0.0000262666,0.0002400428,0.00003662994,0.0001237853],"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":[0.0001213804,0.00008415609,0.3834516,0.000155994,0.0002250153,0.0002005162,0.0002558926,0.5777141,0.003956066,0.003367842,0.003342654,0.0271248],"study_design_scores_gemma":[0.001548153,0.00007959265,0.1401683,0.0006354672,0.00001812406,0.00005596317,0.0000272356,0.8548868,0.0003243369,0.0001815513,0.001438927,0.0006355359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7825553,0.0002002125,0.2151593,0.0001972407,0.0001098017,0.0001122282,0.00001786888,0.0005719286,0.001076112],"genre_scores_gemma":[0.9978431,0.000133025,0.001597512,0.00004701297,0.0001081259,0.00001484558,0.00001610502,0.00004675254,0.0001935213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2771727,"threshold_uncertainty_score":0.5645208,"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."}}