{"id":"W2990874130","doi":"10.23919/eumc.2019.8910901","title":"Latency Performance Evaluation of RF Front-End Transceiver Architecture","year":2019,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transceiver; Latency (audio); Computer science; Direct-conversion receiver; RF front end; Wireless; Electronic engineering; Front and back ends; Radio frequency; Microwave; Electrical engineering; Engineering; Telecommunications","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":[0.0006717411,0.0008641186,0.0003434549,0.0008505742,0.0002694157,0.0006325051,0.0007945793,0.0005121651,0.001711472],"category_scores_gemma":[0.001626914,0.0001155778,0.000300006,0.0006841678,0.0001770683,0.0009106781,0.0003261132,0.0002830458,0.0006499998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008809147,"about_ca_system_score_gemma":0.0004264099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00137968,"about_ca_topic_score_gemma":0.001084577,"domain_scores_codex":[0.999256,0.0001539728,0.00003582076,0.00009088163,0.0003306571,0.0001326397],"domain_scores_gemma":[0.9991559,0.0003280745,0.000122669,0.00007106378,0.0002983724,0.00002391002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007885401,0.000183717,0.006220768,0.0005907256,0.0001457883,0.0003698029,0.0002002124,0.6473982,0.2037337,0.01292319,0.00131345,0.126132],"study_design_scores_gemma":[0.00001678655,0.001362439,0.002663192,0.00004009446,0.00009182878,0.0004162269,0.00007886657,0.8948968,0.09542747,0.001882971,0.003079623,0.00004362543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4982621,0.005651365,0.4738238,0.0002216752,0.0001438695,0.0001808953,0.0004352646,0.002329571,0.0189515],"genre_scores_gemma":[0.9758817,0.0009107496,0.02060617,0.00002408589,0.00003184931,0.00005058646,0.000211295,0.00006376416,0.002219773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001711472,"threshold_uncertainty_score":0.006391466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420144667781061,"score_gpt":0.208492982514866,"score_spread":0.1942915358370554,"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."}}