{"id":"W1834727004","doi":"10.1109/pacrim.1999.799589","title":"Capacity and performance of multiple-input multiple-output wireless systems in a cellular context","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Base station; Channel capacity; Computer science; Wireless; Channel (broadcasting); Electronic engineering; Context (archaeology); Enhanced Data Rates for GSM Evolution; Terminal (telecommunication); Capacity planning; Communications system; Topology (electrical circuits); Telecommunications; Engineering; Electrical 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":[0.001158132,0.0004482842,0.0004616134,0.0005116148,0.0003859604,0.001122028,0.0004412308,0.0007549771,0.001459257],"category_scores_gemma":[0.007266711,0.0001788828,0.0001881564,0.0006988985,0.001088073,0.001165387,0.0009921073,0.0004822251,0.0003142342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037165,"about_ca_system_score_gemma":0.0005316057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002522098,"about_ca_topic_score_gemma":0.001158035,"domain_scores_codex":[0.9991635,0.0002871895,0.00002661823,0.00006427128,0.000221532,0.0002369172],"domain_scores_gemma":[0.9936607,0.004790691,0.0003476191,0.0003368908,0.0007276022,0.0001363747],"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":[0.0003126464,0.00005253887,0.001744532,0.00008525372,0.00003505652,0.0002299619,0.0001616517,0.9069883,0.009125144,0.06412732,0.0009639708,0.01617358],"study_design_scores_gemma":[0.00001227302,0.00006932718,0.0009629239,0.00002453851,0.00001507229,0.0001057556,0.00006225149,0.9700137,0.004658557,0.02346339,0.000583484,0.00002869532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7365428,0.003158973,0.2318619,0.001143559,0.00009875082,0.0000306191,0.0004312261,0.0005533018,0.02617871],"genre_scores_gemma":[0.9972538,0.0002961846,0.001793599,0.00002033572,0.00003158543,0.00001237136,0.00004742249,0.00001195875,0.0005327316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002522098,"threshold_uncertainty_score":0.007525206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04021012784380457,"score_gpt":0.2451311946256101,"score_spread":0.2049210667818055,"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."}}