{"id":"W2159931694","doi":"10.1109/tit.2010.2059570","title":"Finite-SNR Diversity-Multiplexing Tradeoff via Asymptotic Analysis of Large MIMO Systems","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fading; Rayleigh fading; Outage probability; MIMO; Multiplexing; Diversity gain; Channel (broadcasting); Monte Carlo method; Range (aeronautics); Asymptotic analysis","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":[0.000359001,0.0001775282,0.0002899907,0.0009753918,0.00024244,0.00003422834,0.0001699606,0.0001632607,0.0001798735],"category_scores_gemma":[0.00001777021,0.0001909624,0.0001762296,0.0009014694,0.0000375441,0.001262996,0.000002248559,0.0003048642,0.00006951248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007218074,"about_ca_system_score_gemma":0.00001119636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001797226,"about_ca_topic_score_gemma":0.00003374822,"domain_scores_codex":[0.9988717,0.00005064362,0.0005521515,0.00009677299,0.0002158006,0.0002128991],"domain_scores_gemma":[0.9990988,0.0002223363,0.0001539782,0.0003281095,0.0001212556,0.00007555604],"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":[0.00002222395,0.00002932627,0.00002481045,0.0001041845,0.0003183234,2.085269e-7,0.002233595,0.9929295,0.0008724916,0.001620019,0.000009979206,0.001835293],"study_design_scores_gemma":[0.0004673641,0.00002182262,0.0001028061,0.0000263255,0.0003336386,0.000002207129,0.0007123689,0.9932773,0.004497773,0.00006391001,0.0002914201,0.0002030236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009491039,0.00001369495,0.9865941,0.000003975626,0.001312838,0.0002807306,0.0002699804,0.0003398152,0.001693782],"genre_scores_gemma":[0.9986101,0.00001234349,0.001155981,0.00002092629,0.00001981081,0.00002999112,0.00006664306,0.00001765838,0.00006655607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9891191,"threshold_uncertainty_score":0.7787222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006208467953776733,"score_gpt":0.2030427710429107,"score_spread":0.196834303089134,"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."}}