{"id":"W2804234163","doi":"10.23977/jeis.2018.31012","title":"Matlab-Based Studying of 4G Digital Modulation Techniques over Various Channels","year":2018,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phase-shift keying; Quadrature amplitude modulation; QAM; Additive white Gaussian noise; Computer science; Rician fading; Electronic engineering; MATLAB; Modulation (music); Channel (broadcasting); Rayleigh fading; Fading; Telecommunications; Bit error rate; Engineering; Physics; Acoustics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004873966,0.00004601786,0.00007736836,0.0002825379,0.00007851036,0.0001202697,0.0001792272,0.00001940341,0.000003344358],"category_scores_gemma":[0.00005542766,0.00003856132,0.00001914423,0.0003688903,0.00008559612,0.003675786,0.00002381732,0.00008526014,8.295369e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005460982,"about_ca_system_score_gemma":0.0001041852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.364983e-7,"about_ca_topic_score_gemma":3.899608e-7,"domain_scores_codex":[0.9993428,0.000003415536,0.0003191851,0.00002378216,0.0002062477,0.0001045655],"domain_scores_gemma":[0.9992962,0.00001764271,0.0001735254,0.0001081544,0.0003693472,0.00003514346],"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":[0.0001762569,0.0003006749,0.003764616,0.0002634465,0.0001073794,0.000001025561,0.009429079,0.05751692,0.1331866,0.06971201,0.00165937,0.7238826],"study_design_scores_gemma":[0.000414541,0.0006280812,0.0070315,0.00008090279,0.000009424957,0.00002366183,0.00008199716,0.9058982,0.05234522,0.001203374,0.03212867,0.0001544279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8745604,0.0001880304,0.1221988,0.00006083812,0.000103862,0.00007017963,0.000002435446,0.00002263835,0.002792757],"genre_scores_gemma":[0.9979126,0.0001646975,0.001865004,0.00002954701,0.00002260349,6.832295e-7,8.857646e-7,0.00000219805,0.000001742703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8483813,"threshold_uncertainty_score":0.2664856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008677126156529486,"score_gpt":0.2450406710861187,"score_spread":0.2363635449295892,"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."}}