{"id":"W2162567157","doi":"10.1109/iscas.2005.1464936","title":"Performance of a Type-Based Digital Predistorter for Solid-State Power Amplifier Linearization","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Amplifier; Nonlinear distortion; Linearization; Electronic engineering; Computer science; Communications system; Distortion (music); Nonlinear system; Adjacent-channel interference; Control theory (sociology); Interference (communication); Wireless; Bandwidth (computing); Engineering; Telecommunications; Channel (broadcasting); Physics; Control (management)","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":[0.00003995771,0.0001178097,0.0001262966,0.00006057364,0.00001957908,0.00001939401,0.00008311564,0.00004438282,0.00008768953],"category_scores_gemma":[0.00001706676,0.0001134509,0.00004111929,0.0001057213,0.00002340113,0.0003214028,0.00000741041,0.00005060349,0.00004058183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004616359,"about_ca_system_score_gemma":0.00002089809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.428588e-7,"about_ca_topic_score_gemma":8.170686e-7,"domain_scores_codex":[0.9993734,0.000002221508,0.0002231378,0.0001184116,0.00009537779,0.0001874038],"domain_scores_gemma":[0.9996111,0.00003845355,0.0000279486,0.0001813018,0.0000945616,0.00004667226],"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":[0.000156311,0.00007057912,0.002476707,0.0001502981,0.00004904744,3.562141e-7,0.0003062234,0.9667186,0.0102706,0.0001150172,0.005631735,0.01405459],"study_design_scores_gemma":[0.0006105295,0.000169586,0.0006548156,0.00002227971,0.0000102023,0.000001220442,0.000007152069,0.9063768,0.04343502,0.00005782455,0.04840564,0.0002488795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1328584,0.00002983402,0.859921,0.00001665402,0.0002065673,0.0002764684,0.00004270571,0.0002336207,0.006414674],"genre_scores_gemma":[0.9828083,0.00000333084,0.0151316,0.00005105168,0.00004945311,0.00001964032,0.00004228675,0.00004180116,0.001852531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8499499,"threshold_uncertainty_score":0.4626395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009520688478865115,"score_gpt":0.22748623747343,"score_spread":0.2179655489945649,"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."}}