{"id":"W2534311191","doi":"10.1109/icspc.2007.4728435","title":"An Adaptive MILC Amplification System for Adaptive MQAM Transmitters","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Amplifier; Quadrature amplitude modulation; Electronic engineering; Computer science; Linearity; Phase-shift keying; QAM; Context (archaeology); Transmitter; Bandwidth (computing); Telecommunications; Bit error rate; Engineering; Channel (broadcasting)","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":[0.0002666175,0.0001972494,0.0001800562,0.0001102142,0.00006501983,0.00001921172,0.0001691486,0.00009662488,0.00001239589],"category_scores_gemma":[0.000003913307,0.0002005416,0.00006810632,0.0001577899,0.00002902412,0.000283776,0.000002957685,0.00009812822,0.00003716545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540677,"about_ca_system_score_gemma":0.00001185199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001460043,"about_ca_topic_score_gemma":0.00002223132,"domain_scores_codex":[0.9989308,0.00001495717,0.0002783543,0.0002657277,0.0001312432,0.0003789549],"domain_scores_gemma":[0.9992923,0.0001509384,0.00003069509,0.000300715,0.00007996144,0.0001453631],"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":[0.001930419,0.0002549039,0.0001868393,0.0006547596,0.0006107975,0.00003314665,0.008260757,0.2573747,0.2920868,0.2405628,0.006207507,0.1918366],"study_design_scores_gemma":[0.003546481,0.001644608,0.003710234,0.0002176245,0.0002076509,0.00005304464,0.02439646,0.5633148,0.3765317,0.002906195,0.02097355,0.002497615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00336468,0.00009413202,0.9874636,0.00001217141,0.0003584544,0.0007164806,0.00002943938,0.0009885859,0.006972476],"genre_scores_gemma":[0.8815947,0.000002650764,0.1179733,0.00004029073,0.000110305,0.00008213872,0.00001843407,0.00006277078,0.0001153535],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.87823,"threshold_uncertainty_score":0.8177851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02258494972741192,"score_gpt":0.2505036644950336,"score_spread":0.2279187147676217,"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."}}