{"id":"W2086669696","doi":"10.1109/mwscas.2013.6674666","title":"An iterative calibration technique for LINC transmitter","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Linearity; Transmitter; Calibration; Nonlinear system; Electronic engineering; Computer science; Quadrature (astronomy); Envelope (radar); Iterative method; SIGNAL (programming language); Control theory (sociology); Algorithm; Physics; Telecommunications; Engineering; Artificial intelligence","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":[0.00003022357,0.00008554313,0.00006920825,0.00003444975,0.00002181288,0.0000372461,0.00006128979,0.00005512638,0.00030206],"category_scores_gemma":[0.000002043159,0.00007605082,0.00002266597,0.00004474484,0.000008635127,0.0005670835,0.000001509071,0.00005186387,0.0000240394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001603506,"about_ca_system_score_gemma":0.000003376172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004407731,"about_ca_topic_score_gemma":0.000002526336,"domain_scores_codex":[0.9996293,0.000008336579,0.0001042097,0.0000981783,0.00003580314,0.0001241398],"domain_scores_gemma":[0.9997626,0.00003067858,0.000005964578,0.0001271391,0.00002885297,0.00004475506],"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":[0.000005329082,0.00002188944,0.00004460002,0.00004556631,0.00001803367,4.755866e-7,0.0009335668,0.01271689,0.9654848,0.003129932,0.01038891,0.007210017],"study_design_scores_gemma":[0.0001779114,0.00008426797,0.00009392915,0.000007412578,0.000004100779,0.000002084812,0.00003743851,0.244311,0.7406678,0.009862055,0.004539333,0.0002126526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001176365,0.00001157092,0.995126,0.00006746378,0.00006168133,0.0008402356,0.000005348679,0.0004005033,0.002310828],"genre_scores_gemma":[0.7521526,0.000001597529,0.2461566,0.0002143414,0.00006529324,0.0009564001,0.00001969769,0.00003411964,0.0003993422],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7509762,"threshold_uncertainty_score":0.3307345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019152270443263,"score_gpt":0.2393924275567645,"score_spread":0.2292009048523319,"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."}}