{"id":"W4297350611","doi":"10.48550/arxiv.1710.01272","title":"Coverage and Rate Analysis for Co-Existing RF/VLC Downlink Cellular\\n Networks","year":2017,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Visible light communication; Stochastic geometry; Computer science; Telecommunications link; Base station; Computer network; Transmitter power output; Coverage probability; Interference (communication); Real-time computing; Radio frequency; Electronic engineering; Transmitter; Telecommunications; Electrical engineering; Engineering; Mathematics","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":[0.002289258,0.001576355,0.001222855,0.001952998,0.000648242,0.001606993,0.002108833,0.001308658,0.002091196],"category_scores_gemma":[0.008698003,0.0008417424,0.001267018,0.001650088,0.001685418,0.001786687,0.002331585,0.001267025,0.0005591465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00364746,"about_ca_system_score_gemma":0.00104164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01546344,"about_ca_topic_score_gemma":0.006039811,"domain_scores_codex":[0.9978619,0.0006161702,0.00005804401,0.0002918509,0.0006569045,0.0005151215],"domain_scores_gemma":[0.9950843,0.00292898,0.0006943797,0.0002705115,0.00079075,0.0002310308],"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":[0.00004489347,0.00001878245,0.001381668,0.00005802471,0.00003074635,0.000243093,0.00006994839,0.9569415,0.001899059,0.03278064,0.0008133063,0.005718176],"study_design_scores_gemma":[0.000002054195,0.00001083761,0.0002953271,0.000006193725,0.000007932948,0.00008641116,0.00001877071,0.9964132,0.0003220263,0.002421921,0.0004065394,0.000008948111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05319851,0.002038159,0.9303814,0.0005642509,0.00006290749,0.00009077012,0.0004754989,0.0003823661,0.01280614],"genre_scores_gemma":[0.9538611,0.002754309,0.03591425,0.0001851525,0.0001961504,0.0001577918,0.000444919,0.0001595699,0.006326746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01546344,"threshold_uncertainty_score":0.03074688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0897221408562038,"score_gpt":0.2171701994834134,"score_spread":0.1274480586272096,"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."}}