{"id":"W2158573590","doi":"10.1109/nof.2015.7333304","title":"LTE-A enhanced Inter-cell Interference Coordination (eICIC) with Pico cell adaptive antenna","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Telecommunications link; Antenna (radio); Interference (communication); LTE Advanced; Topology (electrical circuits); Real-time computing; Computer network; Channel (broadcasting); Telecommunications; Electrical engineering; Engineering","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":[0.00008306911,0.000209219,0.0001973174,0.0001122484,0.00002316098,0.00003391772,0.0001501474,0.00007233346,0.00003806182],"category_scores_gemma":[0.00001598531,0.0001800223,0.00002285887,0.0002455478,0.00002812346,0.0004503063,0.00003463476,0.000140085,0.0001397563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001883807,"about_ca_system_score_gemma":0.00002556555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002977092,"about_ca_topic_score_gemma":0.00008268029,"domain_scores_codex":[0.9991594,0.0000249721,0.0002383615,0.0002301523,0.000116755,0.0002303537],"domain_scores_gemma":[0.9993042,0.00003060632,0.00006637912,0.0002309009,0.0002534603,0.0001144522],"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":[0.000351355,0.0002618606,0.0004607323,0.0002861466,0.00008025402,0.0000205622,0.007220885,0.6883892,0.2908912,0.0009569413,0.004553057,0.006527852],"study_design_scores_gemma":[0.001623582,0.0005546228,0.00001846809,0.000151681,0.0000201522,0.000007388408,0.003167283,0.6664892,0.3270657,0.0001240119,0.0002581099,0.000519799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01724669,0.00007105612,0.9156893,0.00001332198,0.0002675765,0.0002738954,0.000003324973,0.0004406277,0.06599417],"genre_scores_gemma":[0.9736339,0.000008267791,0.02186616,0.00001933738,0.00004415959,0.00003851744,0.00001397088,0.0000495903,0.004326033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9563873,"threshold_uncertainty_score":0.7341095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438994572944051,"score_gpt":0.2087222407413046,"score_spread":0.1943322950118641,"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."}}