{"id":"W2086631265","doi":"10.1109/mmm.2009.935617","title":"Comprehensive First-Pass Design Methodology for High Efficiency Mode Power Amplifier [TC Contests","year":2010,"lang":"en","type":"article","venue":"IEEE Microwave Magazine","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Amplifier; Electronic engineering; Power (physics); Electrical engineering; Mode (computer interface); Design methods; Computer science; Inverse; Engineering; Physics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007493361,0.001147658,0.0004721217,0.0006058692,0.0004962779,0.0009635432,0.001171271,0.000673135,0.00831708],"category_scores_gemma":[0.0009040642,0.0005194036,0.000651497,0.00025187,0.000292764,0.0007563355,0.0004061696,0.0008636363,0.00382763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005415247,"about_ca_system_score_gemma":0.0009355186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008929635,"about_ca_topic_score_gemma":0.001777064,"domain_scores_codex":[0.9994843,0.00007804974,0.00002212806,0.00007006937,0.0003075121,0.00003782638],"domain_scores_gemma":[0.9995812,0.00006928809,0.00004305167,0.00008334187,0.0002107095,0.00001252342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001223733,0.000212517,0.0007485575,0.0009361749,0.000217087,0.0002780796,0.0005418097,0.1336487,0.2971791,0.1327253,0.01121655,0.4221739],"study_design_scores_gemma":[0.00005148782,0.001164947,0.0006801813,0.00009714477,0.0001421334,0.0009842919,0.0000937462,0.6514484,0.1917152,0.02374953,0.1297937,0.00007919755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001471735,0.00005794238,0.993991,0.0000226516,0.00002235233,0.00008354108,0.00002705045,0.0006710283,0.003652781],"genre_scores_gemma":[0.1367396,0.0003475449,0.8431211,0.0001131121,0.00007020769,0.0004331652,0.0002295025,0.0005637322,0.01838211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00831708,"threshold_uncertainty_score":0.02782339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0479800869232698,"score_gpt":0.2880197858902526,"score_spread":0.2400396989669828,"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."}}