{"id":"W3133578474","doi":"10.1109/gcwkshps50303.2020.9367510","title":"Secrecy Performance in Ultra-Dense Networks with Multiple Associations","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Secrecy; Computer science; Backhaul (telecommunications); Stochastic geometry; Physical layer; Computer network; Distributed computing; Computer security; Telecommunications; Mathematics; Wireless","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":[0.002105449,0.0008800208,0.0009243707,0.0005688054,0.000768943,0.001005196,0.0006283312,0.0008649923,0.000702928],"category_scores_gemma":[0.004265248,0.0004142772,0.0004018951,0.0008642816,0.001855072,0.001377878,0.001877041,0.0007456206,0.0001870674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104371,"about_ca_system_score_gemma":0.0009401185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00256434,"about_ca_topic_score_gemma":0.001924895,"domain_scores_codex":[0.9986547,0.0005477066,0.00004154366,0.0001059915,0.0003448644,0.0003050807],"domain_scores_gemma":[0.9935263,0.004548993,0.0007876678,0.0003596128,0.0006058746,0.0001715195],"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":[0.0002203371,0.00003784522,0.001448558,0.00007034455,0.0000406436,0.0002588055,0.000105379,0.973308,0.00471853,0.0146883,0.0002040284,0.00489925],"study_design_scores_gemma":[0.00001499038,0.0001381552,0.0005357979,0.00001243115,0.00001460774,0.0001305243,0.0000764959,0.9903311,0.002898763,0.005700599,0.0001276662,0.00001886944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6984851,0.001118272,0.2894433,0.0004880533,0.00006558781,0.00004577579,0.0001603108,0.0002497003,0.009943885],"genre_scores_gemma":[0.9957833,0.0002150356,0.003483145,0.00002344992,0.000008724854,0.000008925115,0.00002316054,0.000004193343,0.0004500004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00256434,"threshold_uncertainty_score":0.0111348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008456563309912762,"score_gpt":0.1841792764936613,"score_spread":0.1757227131837486,"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."}}