{"id":"W1960968323","doi":"10.1109/vetecs.2004.1388959","title":"Impact of realistic amplification models on dynamic VBLAST optimization","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"MIMO; Computer science; Predistortion; Amplifier; Constellation; Transmitter; Power (physics); Optimization problem; Control theory (sociology); Transmitter power output; Channel (broadcasting); Electronic engineering; Algorithm; Telecommunications; Engineering; Bandwidth (computing)","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":[0.0007921046,0.0009438409,0.0005433019,0.0002872265,0.0003142578,0.001166981,0.0004661562,0.0008403679,0.001070731],"category_scores_gemma":[0.003310695,0.0004325501,0.0003370273,0.0003268531,0.0007955782,0.001577205,0.0005513842,0.0006263084,0.000215182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000758887,"about_ca_system_score_gemma":0.0004932201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001800016,"about_ca_topic_score_gemma":0.001513246,"domain_scores_codex":[0.9994358,0.000233078,0.00001721492,0.00006375748,0.0001747379,0.00007540813],"domain_scores_gemma":[0.998674,0.0009542794,0.0001520854,0.00008129124,0.0001134446,0.00002495768],"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":[0.00002102847,0.000007373264,0.0001084279,0.00001380703,0.000004941544,0.00003835985,0.0000173838,0.9922576,0.002212303,0.003838401,0.00006755768,0.001412846],"study_design_scores_gemma":[0.00000386287,0.00002439263,0.0000688095,0.000003923233,0.000005061146,0.00002255857,0.000009553375,0.9965221,0.001497713,0.001691817,0.0001445143,0.000005655051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2515731,0.0009201219,0.7236562,0.0008087681,0.00003897812,0.00005765562,0.0001360431,0.0004070734,0.02240207],"genre_scores_gemma":[0.9893429,0.0002191167,0.008993656,0.00004485441,0.000006795027,0.00002810552,0.00002503374,0.00003179966,0.001307761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001800016,"threshold_uncertainty_score":0.005506158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188805385103622,"score_gpt":0.2593058385204298,"score_spread":0.2474177846693935,"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."}}