{"id":"W3099782658","doi":"10.1109/vetec.1992.245479","title":"An adaptive predistortion system","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Predistortion; Amplifier; Intermodulation; Computer science; Transmitter; Electronic engineering; Power (physics); Adjacent channel; Channel (broadcasting); SIGNAL (programming language); Distortion (music); Linear amplifier; RF power amplifier; Electrical engineering; Telecommunications; Engineering; Physics; CMOS","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":[0.0002426244,0.0004934561,0.000394791,0.0004803018,0.0004699547,0.0007658872,0.0008613823,0.0006925236,0.009128148],"category_scores_gemma":[0.000451402,0.0002403611,0.0002511492,0.0003444173,0.0002201191,0.0006981206,0.0004841468,0.0007484704,0.004204044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003172767,"about_ca_system_score_gemma":0.0004708352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008196489,"about_ca_topic_score_gemma":0.000952734,"domain_scores_codex":[0.9997093,0.00003533509,0.00001589136,0.00008202932,0.000134974,0.00002242914],"domain_scores_gemma":[0.9997643,0.00005544385,0.00002182589,0.00004312515,0.0001001838,0.00001516534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000335632,0.00009143892,0.000624978,0.0002882138,0.00006997259,0.000506802,0.0001573496,0.02799753,0.2284127,0.0123138,0.01664567,0.7125559],"study_design_scores_gemma":[0.000128247,0.0009071442,0.002939296,0.00008647829,0.0002103108,0.004015618,0.00007500513,0.5042513,0.2072509,0.008084112,0.2718816,0.0001699968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0122059,0.0009601399,0.9638084,0.000296873,0.0003159539,0.0001747603,0.0002162489,0.008592095,0.01342962],"genre_scores_gemma":[0.367603,0.001547026,0.5775245,0.0007797428,0.0004472189,0.0003124861,0.0006815341,0.0002884562,0.05081598],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009128148,"threshold_uncertainty_score":0.03053671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024729206165634,"score_gpt":0.2022782018910315,"score_spread":0.1920309098293752,"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."}}