{"id":"W2014673742","doi":"10.1109/iccnc.2014.6785350","title":"Adaptive coverage for high data rate LTE networks","year":2014,"lang":"en","type":"article","venue":"2014 International Conference on Computing, Networking and Communications (ICNC)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Radio resource management; Small cell; Computer network; Radio access network; Cellular network; Remote radio head; Distributed computing; Telecommunications; Wireless network; Cognitive radio; Base station; Wireless; Mobile station","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006146877,0.0002244517,0.0002378322,0.00009786074,0.0003144238,0.0001806543,0.001438132,0.00009933425,0.0000154091],"category_scores_gemma":[0.00005731359,0.0002455119,0.0000331996,0.0001055903,0.00008693284,0.0001973091,0.000507384,0.000301393,0.00001504534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006563092,"about_ca_system_score_gemma":0.00001881898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003051296,"about_ca_topic_score_gemma":0.00005376562,"domain_scores_codex":[0.9987379,0.0001487098,0.0003922064,0.0003489425,0.0001167576,0.0002554902],"domain_scores_gemma":[0.9974549,0.0006607543,0.0001953469,0.001392965,0.0002242658,0.00007175009],"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":[0.00002768072,0.00003243638,0.000152515,0.00001231124,0.0001041542,2.104618e-7,0.00009505998,0.7353476,0.00002439818,0.184415,0.004858462,0.07493021],"study_design_scores_gemma":[0.0004603806,0.00005038167,0.0002000877,0.0001993873,0.00001776338,0.000003185684,0.00002853877,0.9735113,0.000005370094,0.00369686,0.02158101,0.0002456772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004760378,0.0003783244,0.9833411,0.0003686413,0.001256718,0.0003047181,0.00004655311,0.000279378,0.01354852],"genre_scores_gemma":[0.9756179,0.001390979,0.02099914,0.0001610583,0.0006653797,0.0000368302,0.0009170906,0.00004457795,0.0001670011],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9751419,"threshold_uncertainty_score":0.9999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06411237020732778,"score_gpt":0.2905218901687926,"score_spread":0.2264095199614648,"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."}}