{"id":"W1914102069","doi":"10.1002/047134608x.w8224","title":"Digital Predistortion for Microwave Transmitters","year":2014,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Electrical and Electronics Engineering","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Predistortion; Amplifier; Intermodulation; Electronic engineering; Nonlinear distortion; Transmitter; Computer science; RF power amplifier; Adjacent channel power ratio; Cascade; Nonlinear system; Engineering; Telecommunications; Channel (broadcasting); CMOS; Physics","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":[0.0002205378,0.0007983046,0.000391228,0.0006441112,0.0003630531,0.000848603,0.0006241282,0.0007222253,0.01033587],"category_scores_gemma":[0.000808396,0.0002627814,0.0004946386,0.000661449,0.0002916427,0.0008996406,0.0004706626,0.001385942,0.005714018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005395591,"about_ca_system_score_gemma":0.0003383262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004860744,"about_ca_topic_score_gemma":0.0008624857,"domain_scores_codex":[0.9997373,0.00005131376,0.00001426405,0.00004779147,0.0001350255,0.00001423049],"domain_scores_gemma":[0.9997477,0.00010296,0.00002409975,0.00003629364,0.00008389648,0.000005112728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001360781,0.00005258083,0.0004236619,0.001979701,0.00008167313,0.0007691209,0.0003018393,0.08626931,0.08773734,0.1299506,0.0315886,0.6607095],"study_design_scores_gemma":[0.00002987731,0.0002579701,0.0009160871,0.0006564613,0.0000995314,0.003373254,0.0001530866,0.3772879,0.1047506,0.05788702,0.4544845,0.0001036221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003452881,0.01139386,0.9534373,0.0003422364,0.0005743938,0.00006259881,0.0002540078,0.001333834,0.02914881],"genre_scores_gemma":[0.2472417,0.03629433,0.6415939,0.0005888856,0.0009211096,0.0002648505,0.00135754,0.0004697455,0.07126794],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01033587,"threshold_uncertainty_score":0.03457689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00277867427623124,"score_gpt":0.1730179890779671,"score_spread":0.1702393148017358,"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."}}