{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004538244,0.0006545497,0.0004248722,0.0002890707,0.0005183484,0.0007577044,0.0006119011,0.0009864485,0.003909858],"category_scores_gemma":[0.002083506,0.0003948121,0.0002871882,0.00042643,0.0006966182,0.001374384,0.0008055833,0.0005978962,0.0002767077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545211,"about_ca_system_score_gemma":0.001350432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216485,"about_ca_topic_score_gemma":0.01872568,"domain_scores_codex":[0.9996859,0.0001493239,0.000004230625,0.00004387801,0.00003679276,0.00007982725],"domain_scores_gemma":[0.9994825,0.0003315386,0.00005862813,0.00001789596,0.0000492448,0.00006015346],"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":[0.00004293172,0.00002231672,0.0005162444,0.00002724847,0.00001028941,0.0001312153,0.00004536444,0.9827255,0.0006069611,0.01108571,0.0006935638,0.004092569],"study_design_scores_gemma":[0.00001785615,0.00009867805,0.0004055492,0.00001054313,0.00001135123,0.00004772815,0.0002213681,0.9798582,0.0005080785,0.0164855,0.002324525,0.00001072437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3096565,0.0007515264,0.6495995,0.002417817,0.00007975196,0.0002303897,0.0005062123,0.0003407015,0.03641758],"genre_scores_gemma":[0.9523681,0.0003434564,0.04350316,0.0001338819,0.00001536204,0.00009939165,0.0001143924,0.00003254956,0.003389654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01216485,"threshold_uncertainty_score":0.0241881,"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."}}