{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001013629,0.0006801951,0.0004298689,0.000335929,0.0002924479,0.000586442,0.0003193004,0.0005520628,0.001636119],"category_scores_gemma":[0.00379805,0.0001638252,0.000276997,0.0002769584,0.0007561003,0.0005392619,0.0004492471,0.0004654708,0.0004570826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005966642,"about_ca_system_score_gemma":0.0003069417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391354,"about_ca_topic_score_gemma":0.0009311749,"domain_scores_codex":[0.9991639,0.0002660179,0.00002273698,0.00007394655,0.0003269933,0.0001464866],"domain_scores_gemma":[0.9955621,0.003053993,0.0003620358,0.0002396022,0.0007164819,0.00006573062],"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":[0.0009790584,0.00006236842,0.005104021,0.0002281024,0.0001125228,0.0005228866,0.0002715881,0.7998846,0.1612029,0.01213984,0.0002899724,0.01920211],"study_design_scores_gemma":[0.0000176505,0.0002385528,0.002126266,0.00002156048,0.00003356527,0.0002176298,0.00004049628,0.9420611,0.0530637,0.00185163,0.0002999161,0.00002791656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8417181,0.001364401,0.148017,0.0002363819,0.00003775138,0.00002595423,0.000107965,0.0002215105,0.00827094],"genre_scores_gemma":[0.9952844,0.0002177316,0.003552191,0.0000186172,0.00001499216,0.000005940334,0.00002541941,0.00001146702,0.0008693023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001636119,"threshold_uncertainty_score":0.005473375,"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."}}