{"id":"W3115437716","doi":"10.1109/isncc49221.2020.9297231","title":"On Evaluating Independent Set Heuristics for Wireless Backhaul Network Capacity of 5G Ultra-Dense Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Backhaul (telecommunications); Computer science; Computer network; Heuristics; Wireless network; Wireless; Distributed computing; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006269594,0.002355068,0.002173473,0.002386518,0.001058203,0.001723777,0.002229403,0.002149276,0.003302426],"category_scores_gemma":[0.01437165,0.0008178942,0.001266612,0.001996066,0.001554123,0.001722004,0.001114876,0.001635773,0.0003283729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004103443,"about_ca_system_score_gemma":0.003116626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01118664,"about_ca_topic_score_gemma":0.009295704,"domain_scores_codex":[0.9970763,0.001896368,0.00008595792,0.0002188245,0.0003431901,0.0003794747],"domain_scores_gemma":[0.9621039,0.03422521,0.001184378,0.0005321469,0.001197664,0.0007567499],"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":[0.0001325335,0.00009520699,0.0003505511,0.00006339638,0.00004646971,0.00001179565,0.0000115331,0.9922516,0.00007444558,0.0013609,0.0003824363,0.00521917],"study_design_scores_gemma":[0.00003196896,0.0001060674,0.0001279635,0.00002153206,0.00001680224,0.000007072419,0.00002514824,0.9981862,0.0001386414,0.001205881,0.0001268321,0.000005861106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5363341,0.007260084,0.4172204,0.001680143,0.0005334572,0.001228005,0.001157954,0.001267052,0.03331874],"genre_scores_gemma":[0.8896514,0.001019695,0.1062168,0.0003848182,0.00009584078,0.0004234714,0.0005500244,0.0001321593,0.001525855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01118664,"threshold_uncertainty_score":0.03315717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017857516356443,"score_gpt":0.2646970152842039,"score_spread":0.2245184401206395,"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."}}