{"id":"W2809731245","doi":"10.11575/prism/31957","title":"Modelling and Design Methodology of High-Efficiency Harmonic Tuned Power Amplifiers for 5G Applications","year":2018,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Mechanical Engineering, University of Alberta; University of Alberta; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Amplifier; Electronic engineering; Power (physics); Harmonic; Electrical engineering; Engineering; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002737745,0.0002378813,0.0005199643,0.0003040673,0.00011912,0.00000546663,0.0003319209,0.0003587586,0.00003997196],"category_scores_gemma":[0.00002156678,0.0003259671,0.0001173402,0.0001764835,0.0001458332,0.0001171208,0.00001657835,0.0001988186,0.000004601907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006157846,"about_ca_system_score_gemma":0.00007355093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001117521,"about_ca_topic_score_gemma":0.000003471387,"domain_scores_codex":[0.9989509,0.00005707372,0.0002394107,0.000352571,0.000144739,0.0002553226],"domain_scores_gemma":[0.9988252,0.0003650821,0.0002137162,0.0003269747,0.0001796663,0.00008934197],"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":[0.005263416,0.0007876818,0.00003417435,0.01170749,0.004016655,0.0000313783,0.06480427,0.2233128,0.1327156,0.08784196,0.01135169,0.4581328],"study_design_scores_gemma":[0.002725089,0.0006303585,0.0002075015,0.0003018432,0.001063071,0.000006322447,0.001536645,0.86622,0.04628052,0.06730877,0.01211207,0.001607824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006189284,0.0008564502,0.9903824,0.00000637713,0.0001879968,0.0009991807,0.000005778025,0.0001017655,0.001270782],"genre_scores_gemma":[0.04446024,0.0003975457,0.9535662,0.00000418356,0.00001235116,0.00001398926,0.0001609653,0.00006628156,0.001318276],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6429072,"threshold_uncertainty_score":0.9999192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03907658273116014,"score_gpt":0.2481300676662433,"score_spread":0.2090534849350832,"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."}}