{"id":"W2893192565","doi":"10.1109/lwc.2018.2871677","title":"Double Shadowing the Rician Fading Model","year":2018,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Khalifa University of Science, Technology and Research; Queen's University; Queen's University Belfast; Department for the Economy","keywords":"Nakagami distribution; Rician fading; Notation; Inverse; Fading; Mathematics; Envelope (radar); Algorithm; Computer science; Discrete mathematics; Telecommunications; Arithmetic; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.000159524,0.0001430697,0.0001257723,0.00008781302,0.0005180087,0.00006599286,0.001041847,0.00005160664,0.00000406311],"category_scores_gemma":[0.000004969253,0.0001301927,0.00004744972,0.000334832,0.0001954264,0.0003052033,0.00008999121,0.0002359903,0.0000816758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001322135,"about_ca_system_score_gemma":0.00001027598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003445044,"about_ca_topic_score_gemma":0.00009927521,"domain_scores_codex":[0.9992283,0.00004193244,0.0002563948,0.0001287289,0.0001010024,0.000243648],"domain_scores_gemma":[0.998086,0.00008160334,0.0000535351,0.001679582,0.00006048874,0.00003881369],"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":[0.000002473325,0.000008412751,0.00004675194,0.00001061944,0.00002808035,2.316076e-7,0.001835494,0.9360474,0.05611392,0.001910033,0.002203824,0.001792727],"study_design_scores_gemma":[0.0002002245,0.000002936045,0.00001198578,0.00004448957,0.00001263568,0.000003543576,0.0001364731,0.9931685,0.004263227,0.00005189229,0.001939306,0.0001647942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05855611,0.0002015726,0.929653,0.002402102,0.0003676947,0.0003017569,0.000005193388,0.0005659392,0.007946604],"genre_scores_gemma":[0.9813929,0.00007936421,0.01750423,0.0006481619,0.000130302,0.0001051131,0.00001236196,0.00005578742,0.00007178407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9228368,"threshold_uncertainty_score":0.5309103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218998593421339,"score_gpt":0.2621793640646779,"score_spread":0.2299893781304645,"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."}}