{"id":"W2050967992","doi":"10.1109/wocn.2013.6616217","title":"A novel architecture and media access protocol for cognitive radio based autonomous femtocell networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Femtocell; Macrocell; Computer network; Computer science; Cognitive radio; Throughput; Telecommunications link; Access control; Cellular network; Network architecture; Telecommunications; Wireless; Base 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":[],"consensus_categories":[],"category_scores_codex":[0.00005638979,0.0001717504,0.0001669275,0.00006627892,0.00004692939,0.00009083204,0.00009130348,0.00009973203,0.0000868031],"category_scores_gemma":[0.00004349745,0.0001488602,0.00002818113,0.0001046245,0.00002539924,0.0002900387,0.00002336814,0.0001021916,0.00000405032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003413069,"about_ca_system_score_gemma":0.00001641376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001810804,"about_ca_topic_score_gemma":0.00003005911,"domain_scores_codex":[0.9993026,0.000008304112,0.0001900015,0.0001874818,0.00005204665,0.000259543],"domain_scores_gemma":[0.9994515,0.0002288928,0.00003990901,0.0001033007,0.00008562281,0.00009078823],"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":[0.00002303211,0.00001749171,0.00007850462,0.0001952293,0.00001687374,3.195926e-7,0.00009267691,0.9868992,0.0003856593,0.00003887696,0.0004797199,0.0117724],"study_design_scores_gemma":[0.002214845,0.00003028376,0.000295308,0.00007333262,0.000008307076,0.000004461092,0.00002436437,0.995361,0.00125086,0.000078419,0.0004505542,0.0002082524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.00008439646,0.000007217265,0.8763781,0.00002264167,0.00005607418,0.1220024,0.00001002555,0.0003160015,0.001123109],"genre_scores_gemma":[0.1659955,5.161204e-7,0.1100129,0.0001335094,0.0002425618,0.7233012,0.0000443018,0.0001015798,0.0001679107],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7663652,"threshold_uncertainty_score":0.6070344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858453628969958,"score_gpt":0.2619052213879737,"score_spread":0.2433206850982741,"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."}}