{"id":"W2109686092","doi":"10.1109/eumc.2007.4405155","title":"On the dynamic range improvement and robustness against branch imbalance of mode- multiplexing LINC amplifiers","year":2007,"lang":"en","type":"article","venue":"2007 European Microwave Conference","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Robustness (evolution); Multiplexing; Amplifier; Computer science; Dynamic range; Electronic engineering; Mode (computer interface); Telecommunications; Engineering; Bandwidth (computing)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006148702,0.0003128715,0.0002579098,0.00009750431,0.0000920979,0.00004686029,0.0003721649,0.00005631546,0.00002720622],"category_scores_gemma":[0.00006892782,0.0002685955,0.00005768906,0.0001569503,0.0001895056,0.00009686281,0.00008580779,0.0003597202,0.00003291489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007847947,"about_ca_system_score_gemma":0.00001700805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004024528,"about_ca_topic_score_gemma":0.00001799,"domain_scores_codex":[0.9984705,0.00006447379,0.0004374793,0.0003511273,0.0001855532,0.0004908402],"domain_scores_gemma":[0.9988963,0.0002629029,0.0001136105,0.000499967,0.0001103065,0.0001168939],"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":[0.00008278581,0.0000406878,0.0002049242,0.0001408062,0.00006371142,0.00003608593,0.0008152446,0.04470203,0.8816378,0.001984159,0.0004469595,0.06984481],"study_design_scores_gemma":[0.006542362,0.000601093,0.02791832,0.001948545,0.0001164442,0.00006285207,0.001481335,0.5317799,0.4154987,0.002950961,0.007281748,0.003817698],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3367816,0.0002800275,0.6500148,0.0000153738,0.0002030618,0.0002999757,0.00003040376,0.0001134208,0.01226135],"genre_scores_gemma":[0.9961584,0.0002281835,0.003078026,0.000188623,0.00004645323,0.000004962089,0.00001307638,0.00008452323,0.0001978046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6593767,"threshold_uncertainty_score":0.9999766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457215476446627,"score_gpt":0.2289140118194772,"score_spread":0.2143418570550109,"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."}}