{"id":"W3035789229","doi":"10.1109/tcomm.2020.3032700","title":"Optimization of Wireless Relaying With Flexible UAV-Borne Reflecting Surfaces","year":2020,"lang":"en","type":"preprint","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ergodic theory; Computer science; Transmission (telecommunications); Key (lock); Mathematical optimization; Maximization; Mode (computer interface); Wireless; Optimization problem; Energy (signal processing); Quadratic equation; Algorithm; Mathematics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009375472,0.001274743,0.000816218,0.0004521527,0.0003157998,0.001269168,0.0008003657,0.000888228,0.001286136],"category_scores_gemma":[0.002274193,0.0004095247,0.0005213137,0.0006327104,0.001055603,0.001154834,0.0008168615,0.0006406057,0.0002779091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062451,"about_ca_system_score_gemma":0.0005848639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780852,"about_ca_topic_score_gemma":0.001157777,"domain_scores_codex":[0.9994412,0.0002372786,0.00001644596,0.00009472918,0.0001144592,0.00009587115],"domain_scores_gemma":[0.9990158,0.000659495,0.0001405834,0.00004749301,0.000104261,0.00003248635],"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":[0.0000214478,0.00001029285,0.0001312238,0.00002319321,0.00001010564,0.00004929921,0.00001783264,0.9887673,0.001248381,0.005589397,0.0001249236,0.00400666],"study_design_scores_gemma":[0.00000426193,0.00002670734,0.00006366851,0.000002815401,0.000004814555,0.0000160661,0.00001721241,0.9969692,0.0004664278,0.002255808,0.0001695539,0.00000354161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07511003,0.0005402985,0.9147823,0.0002534665,0.00002533692,0.00005270027,0.00008299437,0.0001264401,0.009026403],"genre_scores_gemma":[0.9423949,0.0005074303,0.05382769,0.00004223606,0.00002127006,0.0000719668,0.00006433429,0.00004759519,0.003022713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001780852,"threshold_uncertainty_score":0.007708669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07035304019683797,"score_gpt":0.3086306269643048,"score_spread":0.2382775867674669,"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."}}