{"id":"W3090783425","doi":"10.1109/wts48268.2020.9198725","title":"On the Interference Range of Small Cells in the Wireless Backhaul of 5G Ultra-Dense Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Backhaul (telecommunications); Computer network; Wireless; Computer science; Wireless network; 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":[0.001783598,0.0006657106,0.0007302215,0.0006821267,0.0007180989,0.0008480347,0.0008042422,0.0006860021,0.001258885],"category_scores_gemma":[0.0078659,0.000407706,0.0004392352,0.001036068,0.001174771,0.001444653,0.0007779462,0.0009320052,0.0001391016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008782788,"about_ca_system_score_gemma":0.0005232378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003831521,"about_ca_topic_score_gemma":0.004581963,"domain_scores_codex":[0.9988136,0.0007365157,0.00002141886,0.00007517211,0.0002226662,0.0001305647],"domain_scores_gemma":[0.9902536,0.008737282,0.000431669,0.0001951293,0.0002807389,0.0001014682],"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":[0.00004920486,0.00001619171,0.000427777,0.00003723019,0.00001572434,0.00004900037,0.00002472791,0.9883916,0.0008313182,0.005853836,0.0002294006,0.004073973],"study_design_scores_gemma":[0.00001256026,0.00006447177,0.0004185727,0.00002540678,0.00002067961,0.00007043607,0.00004587473,0.9926035,0.001152044,0.005074206,0.0004995635,0.00001267606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3254609,0.008761481,0.6300287,0.001589547,0.0001452546,0.0001045087,0.0001797844,0.0002878934,0.033442],"genre_scores_gemma":[0.9744797,0.001416527,0.02323935,0.000125155,0.00003991681,0.00003205311,0.00002394614,0.00003978729,0.0006034801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003831521,"threshold_uncertainty_score":0.009432673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784464532869535,"score_gpt":0.1950975937499199,"score_spread":0.1772529484212245,"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."}}