{"id":"W3171435168","doi":"10.1109/twc.2021.3083604","title":"Stochastic Geometry Analysis of User Mobility in RF/VLC Hybrid Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic geometry; Visible light communication; Computer science; Stochastic process; Radio frequency; Wireless; Computer network; Telecommunications; Optics; Mathematics; Physics; Light-emitting diode","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002449653,0.0002343529,0.0005698305,0.0009016094,0.0001700506,0.00003490987,0.001359901,0.0001844677,0.0001124532],"category_scores_gemma":[0.00003558645,0.0002796144,0.0002765097,0.004289208,0.0003669451,0.0001730459,0.00003130565,0.0009703868,0.00001443692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002069406,"about_ca_system_score_gemma":0.00004883932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000584933,"about_ca_topic_score_gemma":0.001181402,"domain_scores_codex":[0.9983024,0.0001624666,0.000742804,0.0002711872,0.0002145306,0.0003065891],"domain_scores_gemma":[0.9940707,0.001156779,0.00008560138,0.004404761,0.0002034382,0.00007869131],"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":[0.0000071421,0.0007078286,0.0001321788,0.00002032011,0.0005351207,0.000001229703,0.00007667184,0.9761623,0.001095142,0.001919578,0.00001283819,0.01932966],"study_design_scores_gemma":[0.0003107715,0.00002045003,0.005780559,0.00007056136,0.0003189118,0.000002695555,0.0004020774,0.9797987,0.01277281,0.0001358908,0.00008585033,0.0003006706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2679141,0.0009528934,0.7295139,0.0003493365,0.0001052712,0.0001912905,0.000104389,0.0004663292,0.0004023934],"genre_scores_gemma":[0.9932687,0.002830943,0.003513432,0.00002333993,0.000003263397,0.0002196123,0.00006274864,0.00003964356,0.00003834458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7260005,"threshold_uncertainty_score":0.9999656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955288627272012,"score_gpt":0.2567702102102703,"score_spread":0.2372173239375502,"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."}}