{"id":"W2093444836","doi":"10.1002/ett.1221","title":"Performance analysis of nonlinearly amplified M‐QAM signals in MIMO channels","year":2007,"lang":"en","type":"article","venue":"European Transactions on Telecommunications","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"MIMO; Fading; QAM; Degradation (telecommunications); Quadrature amplitude modulation; Computer science; Nonlinear system; Channel (broadcasting); Amplifier; Electronic engineering; Control theory (sociology); Telecommunications; Mathematics; Bit error rate; Engineering; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006443611,0.000183376,0.0002859887,0.001162836,0.000121609,0.00001813361,0.0005696974,0.00004792616,0.0001446613],"category_scores_gemma":[0.0000126343,0.0002134422,0.0001504015,0.002422904,0.00007331678,0.0001797121,0.000006605585,0.0004349901,0.00008361078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008393636,"about_ca_system_score_gemma":0.00001269369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001573983,"about_ca_topic_score_gemma":0.0001408064,"domain_scores_codex":[0.9986241,0.0001231554,0.0006245393,0.0001832752,0.0001469581,0.0002979793],"domain_scores_gemma":[0.9983338,0.0003458425,0.00007450565,0.001086622,0.0000732955,0.00008600007],"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":[0.00001785947,0.0002117962,0.0002525164,0.00001630089,0.0003033591,0.000001797367,0.0009457415,0.9670401,0.004781427,0.00003956796,0.00002117592,0.02636838],"study_design_scores_gemma":[0.002220956,0.0004568541,0.2432396,0.0002963408,0.001354008,0.00001289817,0.001189248,0.650625,0.07960983,0.00006952191,0.01903451,0.001891279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1416058,0.0001564815,0.8358374,0.00004890138,0.0001087915,0.0002227032,0.00005084008,0.0002680084,0.02170107],"genre_scores_gemma":[0.9840486,0.0004099587,0.01516136,0.00003809834,0.00001352418,0.00001463961,0.00004267868,0.00005718971,0.000213939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8424428,"threshold_uncertainty_score":0.8703921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282728331082212,"score_gpt":0.2560184982806313,"score_spread":0.2331912149698092,"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."}}