{"id":"W4281613738","doi":"10.23919/eumc50147.2022.9784178","title":"Modulated-Signal-Based EM/RF/DSP Co-Simulation Framework for Predictive Analysis of Fully Digital MIMO Transmitters","year":2022,"lang":"en","type":"article","venue":"2021 51st European Microwave Conference (EuMC)","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Telefonaktiebolaget LM Ericsson; Keysight Technologies","keywords":"Predistortion; MIMO; Electronic engineering; Adjacent channel power ratio; Radio frequency; Digital signal processing; Transmitter; Computer science; Antenna (radio); Digital radio; Channel (broadcasting); Engineering; Telecommunications; Beamforming","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003116632,0.0004151398,0.0005964392,0.0005268671,0.0001790214,0.0001311723,0.0005151643,0.00007911051,0.000799799],"category_scores_gemma":[0.00006427294,0.0004983824,0.0004155755,0.001057867,0.0001089215,0.0002483011,0.00006291051,0.0004565589,0.00003147322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939978,"about_ca_system_score_gemma":0.00009407208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000329041,"about_ca_topic_score_gemma":0.000004077466,"domain_scores_codex":[0.9976364,0.000183861,0.0006864616,0.0006070015,0.0003883691,0.000497944],"domain_scores_gemma":[0.9983509,0.0004670855,0.0002033737,0.0005826763,0.0002394585,0.0001565068],"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":[0.0001782451,0.00007944492,0.0003975681,0.00006509052,0.0009609333,0.00002391951,0.001632121,0.9507577,0.03184827,0.0002116454,0.0002330804,0.01361199],"study_design_scores_gemma":[0.001195378,0.000389326,0.003435787,0.0001002415,0.0009802959,0.000003135747,0.001036141,0.9700444,0.01608546,0.000965475,0.004852929,0.0009113849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08425051,0.0001382825,0.9105356,0.00002947664,0.0002046701,0.0005679946,0.001666224,0.000198139,0.002409132],"genre_scores_gemma":[0.993434,0.000009783997,0.005025829,0.0001026045,0.0000605557,0.00005271149,0.001036856,0.0001385717,0.0001391538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9091834,"threshold_uncertainty_score":0.9997468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217642010772065,"score_gpt":0.247036301710266,"score_spread":0.2252721006330595,"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."}}