{"id":"W2536017467","doi":"10.1109/rawcon.2004.1389170","title":"A linearized Doherty amplifier using complex baseband digital predistortion driven by CDMA signals","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Doherty amplifier; Amplifier; Predistortion; Baseband; Linear amplifier; Linearity; Electronic engineering; CDMA2000; Electrical engineering; RF power amplifier; W-CDMA; Computer science; Engineering; Code division multiple access","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000812563,0.0002499986,0.0002526611,0.00006956144,0.0000737638,0.0001216798,0.0001466496,0.0001025141,0.0009898087],"category_scores_gemma":[0.00002649447,0.0002441355,0.00008242874,0.0001569268,0.00004698298,0.0006660442,0.00002997813,0.0001566456,0.0001390526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004623,"about_ca_system_score_gemma":0.0000158242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007339128,"about_ca_topic_score_gemma":0.000004677799,"domain_scores_codex":[0.9987575,0.00002078501,0.0003558215,0.0002695027,0.0002182591,0.000378171],"domain_scores_gemma":[0.9993849,0.00008505326,0.00004382971,0.0002769394,0.00004861729,0.0001606106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006227705,0.0001326775,0.001060544,0.00005260838,0.0001424886,0.000007419204,0.0003052582,0.3677737,0.5360011,0.00007597308,0.07700042,0.01738562],"study_design_scores_gemma":[0.0009733292,0.00003397273,0.0001684474,0.00002417196,0.00002806608,0.00001633392,0.00002706524,0.8374976,0.01702988,0.0001726335,0.1434678,0.0005607788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03017842,0.00009844296,0.9567185,0.00003904399,0.0001442518,0.000284658,0.0001099825,0.0007038019,0.01172289],"genre_scores_gemma":[0.9688112,0.00000738605,0.02910084,0.0001249799,0.0002148134,0.00001463761,0.0001371825,0.00007508611,0.001513845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9386328,"threshold_uncertainty_score":0.9999234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524760365711913,"score_gpt":0.2454070096989476,"score_spread":0.2201594060418285,"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."}}