{"id":"W2163678166","doi":"10.1109/twc.2009.080411","title":"Switching rates of two-branch selection diversity in κ-μ and α-μ distributed fadings","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rician fading; Fading; Nakagami distribution; Independent and identically distributed random variables; Fading distribution; Diversity combining; Rayleigh fading; Diversity scheme; Mathematics; Telecommunications; Statistics; Computer science; Topology (electrical circuits); Random variable; Combinatorics; Decoding methods","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":[0.0005274243,0.0001739577,0.0002696074,0.0004419378,0.0009073226,0.0001015916,0.002378245,0.00009622696,0.000005834756],"category_scores_gemma":[0.00001154309,0.0001953339,0.00007422246,0.00166613,0.0001480484,0.0007174274,0.00009092157,0.0007304277,0.000005075698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501163,"about_ca_system_score_gemma":0.00007075593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004819704,"about_ca_topic_score_gemma":0.0009064225,"domain_scores_codex":[0.9982389,0.0004210573,0.0004235828,0.0003144786,0.0003071565,0.0002948466],"domain_scores_gemma":[0.9971288,0.0006139443,0.0001529076,0.001797766,0.0001986648,0.0001078855],"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":[0.0001297143,0.003489077,0.01041104,0.00006295017,0.0001467117,0.000002981139,0.0109573,0.08903675,0.04597117,0.09675023,0.0001178875,0.7429242],"study_design_scores_gemma":[0.001531727,0.000193055,0.02703544,0.0001974791,0.00001591374,0.00001615149,0.0001807701,0.9468613,0.01787712,0.005601587,0.00008804535,0.0004014551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.218826,0.0001358083,0.7777938,0.002613456,0.00003737586,0.0002491729,0.000009501325,0.0001230228,0.0002119443],"genre_scores_gemma":[0.9901001,0.001014117,0.008720143,0.0000891692,0.000005454863,0.00003360089,0.000006904263,0.000008893268,0.00002160253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8578245,"threshold_uncertainty_score":0.7965487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04584763734543961,"score_gpt":0.3172885519961932,"score_spread":0.2714409146507536,"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."}}