{"id":"W1917825521","doi":"10.1002/dac.2524","title":"Green cell association for multimedia transmission in cognitive heterogeneous networks","year":2013,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Energy consumption; Heterogeneous network; Throughput; Computer network; Transmission (telecommunications); Macro; Efficient energy use; Cognitive radio; Wireless network; Wireless; Multimedia; Telecommunications","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":[0.0005198251,0.0003725196,0.0003698988,0.000400411,0.0004083367,0.0005911624,0.0008238523,0.0003459182,0.0008228077],"category_scores_gemma":[0.000866544,0.0001194811,0.0002925581,0.000404089,0.0004341326,0.000486128,0.0008843758,0.0004996739,0.0001836448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006793335,"about_ca_system_score_gemma":0.0005223426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002713509,"about_ca_topic_score_gemma":0.002634549,"domain_scores_codex":[0.9996957,0.00006961297,0.00000760345,0.00004218734,0.0001143429,0.00007060687],"domain_scores_gemma":[0.99965,0.0001306373,0.00005194733,0.0000535466,0.00008390508,0.00002992732],"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":[0.0002119629,0.0001436198,0.001365072,0.0001045272,0.00007481513,0.0004534961,0.0002169221,0.6848826,0.04409871,0.07091591,0.003622135,0.1939102],"study_design_scores_gemma":[0.000002667865,0.00002250448,0.0001368613,0.000003247623,0.00000917268,0.00004834887,0.00001852874,0.9889685,0.002923792,0.007060757,0.0007987015,0.000006923935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05852821,0.000860693,0.9344251,0.0001540806,0.00008945465,0.00002190147,0.0000188275,0.0002284137,0.005673325],"genre_scores_gemma":[0.9646366,0.0003477806,0.03247125,0.0000935681,0.00004602415,0.00001992934,0.00002552269,0.00001866886,0.002340689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002713509,"threshold_uncertainty_score":0.005395412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270208515496697,"score_gpt":0.2590086493548855,"score_spread":0.2463065641999186,"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."}}