{"id":"W565267543","doi":"10.1109/mcom.2015.7120046","title":"Cloud assisted HetNets toward 5G wireless networks","year":2015,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":322,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cloud computing; Heterogeneous network; Computer network; Quality of service; Software deployment; Cellular network; Mobile broadband; Wireless network; Wireless; Distributed computing; Telecommunications","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":[0.0002242416,0.0001899825,0.0002337551,0.000097833,0.00009179813,0.00004712663,0.0008044494,0.0001231295,0.00001083889],"category_scores_gemma":[0.00004207154,0.000212979,0.0000482301,0.0004864954,0.00008406647,0.0002434024,0.00009249779,0.000292047,0.000271835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054199,"about_ca_system_score_gemma":0.00002912228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009459139,"about_ca_topic_score_gemma":0.0001018183,"domain_scores_codex":[0.9989743,0.0001036001,0.0003909828,0.0001508931,0.0001259765,0.0002542573],"domain_scores_gemma":[0.9975574,0.00009173369,0.00008055152,0.001886647,0.0002222925,0.0001613741],"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":[0.000009852934,0.00006657171,0.0001588709,0.00002636299,0.00004148898,0.000002287589,0.0003297706,0.9511365,0.0009451365,0.0007512291,0.0399116,0.006620346],"study_design_scores_gemma":[0.0006181521,0.0000302032,0.000221959,0.00006171615,0.00002590008,0.0000291483,0.00007888772,0.9320112,0.0002396823,0.0001386222,0.06622112,0.0003233951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002514457,0.003345788,0.9502716,0.0005171935,0.002099763,0.0004553552,0.00001636707,0.001392701,0.03938676],"genre_scores_gemma":[0.9801246,0.0006076284,0.01802153,0.00005384166,0.0002534309,0.0001045163,0.0001244373,0.00007584546,0.000634173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9776101,"threshold_uncertainty_score":0.868503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0520445021290902,"score_gpt":0.2798530082215409,"score_spread":0.2278085060924507,"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."}}