{"id":"W2020828165","doi":"10.1016/j.comnet.2013.06.017","title":"Media access protocol for a coexisting cognitive femtocell network","year":2013,"lang":"en","type":"article","venue":"Computer Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Femtocell; Computer science; Computer network; Access control; Protocol (science); Media access control; Cognitive radio; Cellular network; Distributed computing; Base station; Telecommunications; Wireless","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007786772,0.000663279,0.0005036151,0.0006161463,0.001109218,0.001445222,0.0008474132,0.0008196579,0.002342581],"category_scores_gemma":[0.002656602,0.0002004285,0.000265205,0.0007332108,0.0007548227,0.0008628018,0.001364278,0.0008454162,0.0002823515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525154,"about_ca_system_score_gemma":0.001714358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00656005,"about_ca_topic_score_gemma":0.009785826,"domain_scores_codex":[0.9993593,0.0001551598,0.000024458,0.00009924221,0.0001868157,0.0001750698],"domain_scores_gemma":[0.998785,0.0006026012,0.00009177732,0.00007812198,0.0003867682,0.00005578043],"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":[0.001180833,0.0004255696,0.002586572,0.0005323995,0.0002075139,0.001594385,0.0005589599,0.4700402,0.07590639,0.2226941,0.01282176,0.2114514],"study_design_scores_gemma":[0.00004782388,0.0002012178,0.000388272,0.00001812151,0.00006673353,0.0002374822,0.00007061202,0.9772835,0.003450051,0.01642938,0.001777561,0.00002917135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1675237,0.001520644,0.8082294,0.002194309,0.0006112887,0.0002666947,0.0003188838,0.000473317,0.01886167],"genre_scores_gemma":[0.9661162,0.0003648261,0.02856419,0.0001999875,0.0001344459,0.000132595,0.00006915459,0.00001523904,0.004403371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00656005,"threshold_uncertainty_score":0.01304376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409613563697254,"score_gpt":0.2886395412270805,"score_spread":0.254543405590108,"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."}}