{"id":"W3203092761","doi":"10.1109/tnsm.2022.3202200","title":"Planning 5G Networks for Rural Fixed Wireless Access","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Telecommunications link; Computer science; Computer network; Broadband; MIMO; Precoding; Limit (mathematics); Wireless network; Bandwidth (computing); Base station; Fixed point; Wireless; Topology (electrical circuits); Telecommunications; Mathematics; Channel (broadcasting); Electrical engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001220808,0.0001753144,0.0001655275,0.00008757254,0.0004363593,0.00006510387,0.0001869486,0.00003777632,0.00003074095],"category_scores_gemma":[8.256752e-8,0.000206478,0.00004519473,0.0004192571,0.000006607251,0.0001596456,0.000006082909,0.0001772255,0.000001421957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008830836,"about_ca_system_score_gemma":0.000002909205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001026871,"about_ca_topic_score_gemma":0.00003306488,"domain_scores_codex":[0.9991342,0.00002793263,0.0002165387,0.0001932024,0.0001114797,0.0003166005],"domain_scores_gemma":[0.9996417,0.00005309025,0.00003821705,0.0001901026,0.00002052663,0.00005633718],"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":[0.00005749359,0.00001920258,0.000008327646,0.0001481851,0.0001024269,0.000003072314,0.0001445989,0.9782391,0.000006016724,0.0001155984,0.001142684,0.02001336],"study_design_scores_gemma":[0.0006384048,0.000043491,0.00004030376,0.00005482516,0.00006653832,0.000003556672,0.0005681536,0.9928637,0.00001607854,0.00006870933,0.005404844,0.0002313786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00241865,0.0001772068,0.9932103,0.0001014897,0.001476843,0.0007655293,0.00001499234,0.0003320164,0.001502987],"genre_scores_gemma":[0.9960291,0.0002442269,0.001744432,0.0004886677,0.0001176506,0.0009896827,0.00003287355,0.00006121063,0.0002921131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9936105,"threshold_uncertainty_score":0.841993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371657030973208,"score_gpt":0.2343843039218418,"score_spread":0.2206677336121097,"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."}}