{"id":"W2328799675","doi":"10.1109/tvt.2015.2422784","title":"Network Configuration for Two-Tier Macro–Femto Systems With Hybrid Access","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Femtocell; Computer science; Base station; Computer network; Telecommunications link; Macro; Distributed computing; Process (computing)","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":[0.000128673,0.0002462798,0.0003009767,0.000286738,0.0001276952,0.00006119391,0.0002299968,0.0002056362,0.00000538557],"category_scores_gemma":[0.000005585115,0.0002378445,0.00004702317,0.0005261416,0.00006797552,0.0003065599,0.000001199296,0.0002588792,0.00002865705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000205649,"about_ca_system_score_gemma":0.00003824674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001450469,"about_ca_topic_score_gemma":0.00003518725,"domain_scores_codex":[0.9988573,0.00002538724,0.0003081629,0.0002978621,0.0001406327,0.000370638],"domain_scores_gemma":[0.9991527,0.00003463775,0.00007454925,0.0004215718,0.0002334296,0.00008306517],"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":[0.00004706077,0.00002241628,0.000007901388,0.00004975063,0.00007793124,0.000008796073,0.00002389399,0.9955693,0.000903567,0.0004339968,0.0004993921,0.002355958],"study_design_scores_gemma":[0.002376673,0.0003559226,0.000001473386,0.0001548071,0.0001149794,0.0001874546,0.0001610019,0.9118314,0.07616804,0.0006251361,0.007486743,0.0005363246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00566534,0.0003625629,0.9896666,0.0001338714,0.0012095,0.001178023,0.0000309972,0.001476718,0.000276347],"genre_scores_gemma":[0.9921243,0.00001476354,0.006438389,0.00002945273,0.0001056376,0.0009914804,0.00002254739,0.00009209981,0.000181378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9864589,"threshold_uncertainty_score":0.9699017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717906166990922,"score_gpt":0.2456142201819425,"score_spread":0.2284351585120332,"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."}}