{"id":"W3210633935","doi":"10.1109/ccece53047.2021.9569058","title":"B5G: Intelligent Coexistence Model for Edge Network","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Quality of service; Sleep mode; Enhanced Data Rates for GSM Evolution; Energy consumption; Cloud computing; Server; Edge computing; Edge device; Computer network; Base station; Telecommunications; Engineering; Power (physics); Power consumption","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":[0.0005237887,0.001032364,0.0006275331,0.0006451937,0.0006148024,0.001148801,0.001190364,0.0012353,0.003971261],"category_scores_gemma":[0.00116787,0.0002635834,0.0007150447,0.0005707211,0.0005466377,0.001006691,0.0008543318,0.001029864,0.0006856975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008707685,"about_ca_system_score_gemma":0.000776616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01469354,"about_ca_topic_score_gemma":0.00770325,"domain_scores_codex":[0.9996375,0.0001032438,0.00001149645,0.00007123607,0.00007578435,0.0001007475],"domain_scores_gemma":[0.9996867,0.0001436679,0.00004454022,0.00001774582,0.000085576,0.00002176347],"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":[0.00005329222,0.00002063838,0.0005804279,0.00002181642,0.00001358443,0.00006530003,0.00003017605,0.9841966,0.0006318694,0.007440967,0.0009091367,0.006036185],"study_design_scores_gemma":[0.000002838989,0.00001329461,0.0000963596,0.000003025055,0.000004126759,0.00001137079,0.000006108437,0.9972693,0.00007417792,0.002214863,0.0003013684,0.000003117891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06634157,0.0008145084,0.9108671,0.0007918052,0.0001484193,0.00008917315,0.0005169185,0.000971658,0.01945879],"genre_scores_gemma":[0.9448949,0.000454509,0.04478627,0.0001921268,0.00005796696,0.0001974373,0.0005519143,0.00009303714,0.008771854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01469354,"threshold_uncertainty_score":0.02921605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03212713491363004,"score_gpt":0.2560155428034587,"score_spread":0.2238884078898287,"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."}}