{"id":"W2108767756","doi":"10.1109/wamicon.2009.5207270","title":"Investigating effects of quadrature imperfection of vector multiplier in implementing RF/Digital predistortion","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Predistortion; Baseband; Amplifier; Linearization; Electronic engineering; Quadrature (astronomy); Computer science; Radio frequency; Quadrature amplitude modulation; RF power amplifier; W-CDMA; Control theory (sociology); Linearity; Multiplier (economics); Bandwidth (computing); Telecommunications; Engineering; Nonlinear system; Physics; Code division multiple access; Bit error rate","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":[0.00009190135,0.0001188442,0.0001779066,0.0001134294,0.00001496556,0.000009731181,0.00005745504,0.00006913597,0.000007087933],"category_scores_gemma":[0.0001260829,0.0001231379,0.00004178052,0.0002523377,0.00001660785,0.0003144062,0.00001074377,0.0001285419,0.000001271378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007289304,"about_ca_system_score_gemma":0.000009303239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001016616,"about_ca_topic_score_gemma":0.00001072606,"domain_scores_codex":[0.9992105,0.00001119756,0.0003384755,0.0001237393,0.0001172659,0.0001988465],"domain_scores_gemma":[0.9996408,0.00008992174,0.00007264013,0.0001290416,0.00003036454,0.00003728022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005856594,0.00003501151,0.01063355,0.0003159531,0.00001539548,0.000001152031,0.0009027168,0.01300689,0.9594058,0.0003399886,0.0001196352,0.01521806],"study_design_scores_gemma":[0.0009229551,0.0002011537,0.097187,0.0002753364,0.00001452226,0.000003287159,0.0001445511,0.02312759,0.8766378,0.00110616,0.0001096472,0.000270061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327956,0.0001460549,0.06460506,0.00000501035,0.0001699843,0.0002868212,0.000004773628,0.0001463826,0.001840246],"genre_scores_gemma":[0.9961467,0.000003252089,0.003756823,0.000006791718,0.00003295553,0.000007435847,0.00001128068,0.00001589476,0.00001880007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08655345,"threshold_uncertainty_score":0.502142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004532859582854328,"score_gpt":0.217182668446674,"score_spread":0.2126498088638197,"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."}}