{"id":"W1641214707","doi":"10.1109/icc.2003.1204109","title":"Statistical simulation models for Rayleigh and Rician fading","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rician fading; Fading; Fading distribution; Rayleigh fading; Computer science; Channel state information; Rayleigh scattering; Mathematics; Algorithm; Telecommunications; Physics; Optics; Wireless","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003284644,0.00005278549,0.00006174957,0.00003311354,0.0000371118,0.00001148886,0.0000453276,0.00003049722,0.000003869151],"category_scores_gemma":[0.00001446903,0.00005446634,0.000008073591,0.00003482461,0.00001396015,0.0001549938,0.00001285609,0.000040268,0.000001127371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004106007,"about_ca_system_score_gemma":0.000002653157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003844013,"about_ca_topic_score_gemma":0.000004302243,"domain_scores_codex":[0.9997299,0.000002867387,0.00009309442,0.00005941332,0.00003392726,0.00008074452],"domain_scores_gemma":[0.999723,0.0001123918,0.000008033909,0.0001119676,0.00001908344,0.00002552492],"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":[0.0000011735,0.000002587332,0.000003208958,0.00001008028,0.000002145402,6.194389e-8,0.00004939227,0.8123523,0.0004028142,0.1751439,0.00001005321,0.01202224],"study_design_scores_gemma":[0.0001406337,0.000009462271,0.00003213562,0.000007130615,0.00000204206,2.922596e-7,0.00001343938,0.8225721,0.004161179,0.1726084,0.0003890448,0.00006415742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003749012,0.00008148265,0.9927554,0.00002971896,0.0000113131,0.0001531014,0.000006453667,0.0005322967,0.002681263],"genre_scores_gemma":[0.677705,0.00003463113,0.3221873,0.00001751459,0.000006106348,0.00002082057,0.000006843548,0.00001147653,0.00001028445],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.673956,"threshold_uncertainty_score":0.2221073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567354041232853,"score_gpt":0.2917220180966228,"score_spread":0.2660484776842943,"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."}}