{"id":"W2018375898","doi":"10.1109/pawr.2012.6174914","title":"Optimized hardware for polynomial digital predistortion system implementation","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Predistortion; Field-programmable gate array; Transceiver; Computer science; Reduction (mathematics); Gate array; Electronic engineering; Computer hardware; Calibration; CMOS; Engineering; Amplifier; Telecommunications; Bandwidth (computing); Mathematics","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":[0.00006149551,0.00009775317,0.0001002762,0.00003669886,0.00003594535,0.00003474696,0.00004848362,0.00003573768,0.00005038703],"category_scores_gemma":[0.000005834399,0.00009826891,0.0000481043,0.00003833017,0.000005581353,0.0006646621,0.000008031976,0.00002919358,0.00003668148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018695,"about_ca_system_score_gemma":0.000005631402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002118393,"about_ca_topic_score_gemma":5.215076e-7,"domain_scores_codex":[0.9994189,0.000004233966,0.0001758966,0.00007977353,0.00007230781,0.0002489245],"domain_scores_gemma":[0.9997444,0.00003008689,0.00002210605,0.0001060389,0.00002154524,0.00007587839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008143443,0.0002288991,0.01113913,0.002296682,0.0008891365,0.000003434206,0.00607812,0.1772469,0.02957253,0.01649431,0.5498683,0.2053682],"study_design_scores_gemma":[0.01899325,0.0004555609,0.007115372,0.0001501111,0.0004093019,0.0001076772,0.0132853,0.2426551,0.1676261,0.0001817179,0.5454561,0.003564483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005045005,0.00008131134,0.9872687,0.000005691444,0.001025507,0.0004934975,0.0001047126,0.0006731148,0.005302486],"genre_scores_gemma":[0.9756404,9.328781e-7,0.02340366,0.000006111866,0.000325115,0.0001530911,0.0001542085,0.00003496256,0.0002815933],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9705953,"threshold_uncertainty_score":0.400729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352196184924995,"score_gpt":0.2537512503137314,"score_spread":0.2402292884644814,"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."}}