{"id":"W7098305457","doi":"","title":"Abstract Cognitive Interference Management in 4G Autonomous Femtocells","year":2010,"lang":"en","type":"article","venue":"","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Femtocell; Underlay; Cellular network; Cognitive radio; Base station; Heterogeneous network; Interference (communication); Radio resource management; Resource allocation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002128638,0.0002444655,0.0002064935,0.0002468424,0.0004644954,0.0006730703,0.0004541553,0.0003891013,0.0007098219],"category_scores_gemma":[0.0003448415,0.00009283893,0.0002046352,0.0002265227,0.0006993235,0.0005836995,0.000462548,0.0002833642,0.0000980158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008165537,"about_ca_system_score_gemma":0.0004893155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003299946,"about_ca_topic_score_gemma":0.001713255,"domain_scores_codex":[0.9998147,0.00005320062,0.000003992802,0.00003189808,0.00005582985,0.00004034941],"domain_scores_gemma":[0.9998715,0.0000385709,0.0000269132,0.00001751189,0.00003251507,0.00001293567],"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":[0.0001313203,0.00008232591,0.002490916,0.00008626168,0.00005477879,0.0004193365,0.0003854864,0.5622038,0.06749894,0.2752703,0.00227753,0.08909895],"study_design_scores_gemma":[0.00001846539,0.0001103004,0.001366707,0.0000129681,0.00001770088,0.0001385771,0.0001476376,0.8854332,0.01069564,0.0923005,0.009729993,0.0000283882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2450781,0.001190558,0.7234457,0.0006740119,0.0001060192,0.00005148361,0.0000471294,0.0002807988,0.02912618],"genre_scores_gemma":[0.9632386,0.0002284235,0.03265685,0.00008380628,0.00003600966,0.00002941395,0.0000177342,0.000008555508,0.00370048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003299946,"threshold_uncertainty_score":0.006561458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670804773711969,"score_gpt":0.2185346164757445,"score_spread":0.1918265687386248,"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."}}