{"id":"W1907013622","doi":"10.1002/wcm.2573","title":"Performance analysis of hexagonal cellular networks in fading channels","year":2015,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Fading; Computer science; Hexagonal crystal system; Computer network; Channel (broadcasting); Telecommunications; Topology (electrical circuits); Electrical engineering; Chemistry","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":[0.001031681,0.0004662375,0.0004536043,0.0006777236,0.000357603,0.0008352406,0.0005239137,0.0004135429,0.0007800556],"category_scores_gemma":[0.005384956,0.0001733687,0.000222685,0.0009999875,0.0006443458,0.0007153071,0.00060465,0.0002220801,0.0001347444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296154,"about_ca_system_score_gemma":0.0004645883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006889984,"about_ca_topic_score_gemma":0.003355782,"domain_scores_codex":[0.9990274,0.0004751293,0.00002169463,0.00007146558,0.0001913545,0.0002130335],"domain_scores_gemma":[0.997223,0.001549004,0.0003920519,0.0002159483,0.0005392992,0.00008060967],"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":[0.00003943187,0.000006233005,0.001759161,0.00001824377,0.00001429473,0.00006248458,0.00002148924,0.9882864,0.001180041,0.003692229,0.0001688507,0.004751036],"study_design_scores_gemma":[8.292714e-7,0.00001690173,0.0005802934,0.000001903751,0.000004187231,0.00003070834,0.00002260901,0.9979838,0.0004053468,0.0008527403,0.00009706074,0.000003594806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5995411,0.00197483,0.3853208,0.0003747208,0.00003718298,0.0000559275,0.0002902557,0.0003663531,0.01203885],"genre_scores_gemma":[0.9958109,0.0003147637,0.003491583,0.00001410906,0.000009076159,0.000008563864,0.00003480828,0.00001026294,0.0003060659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006889984,"threshold_uncertainty_score":0.01369977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096215931293486,"score_gpt":0.2451942623310299,"score_spread":0.224232103018095,"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."}}