{"id":"W2096121093","doi":"10.1109/vtcf.2006.331","title":"Optimization of Predetection Switched Combining in Correlated Rician Fading","year":2006,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Conference","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rician fading; Fading; Monte Carlo method; Fading distribution; Outage probability; Computer science; Bit error rate; Algorithm; Statistics; Mathematics; Electronic engineering; Rayleigh fading; Engineering","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":[0.00009839352,0.0001412302,0.000232258,0.0005949812,0.00003869883,0.000008926257,0.0002910529,0.0003457656,0.000006409094],"category_scores_gemma":[0.00003118867,0.0001694851,0.00002617967,0.0009013356,0.0001063054,0.0001359281,0.00003434,0.0003818706,0.000002919981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009673853,"about_ca_system_score_gemma":0.00001542045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004643894,"about_ca_topic_score_gemma":0.0000474803,"domain_scores_codex":[0.9991511,0.00002667112,0.0003838182,0.0001628713,0.00008732098,0.0001882884],"domain_scores_gemma":[0.9993368,0.00003166132,0.0001116503,0.0003980604,0.0001088318,0.00001300341],"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":[0.000003003421,0.00002492459,0.002164077,0.0000183785,0.000007810878,0.000002832535,0.00003351081,0.7940364,0.1960971,0.002817105,0.00000553171,0.004789283],"study_design_scores_gemma":[0.0002273021,0.00002460988,0.0003058648,0.0001101841,0.00000530323,0.000005391566,0.00006627262,0.6136137,0.3825552,0.002921276,0.00003318886,0.0001317468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4296807,0.0002032157,0.5678664,0.0000396566,0.00006427342,0.0001707154,0.0000011938,0.001170482,0.0008032788],"genre_scores_gemma":[0.9794791,0.0001340076,0.02026659,0.000003217812,0.000004507004,0.00006423863,0.00001185611,0.00002636562,0.00001014661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5497984,"threshold_uncertainty_score":0.6911404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008475695317213741,"score_gpt":0.215248189963368,"score_spread":0.2067724946461542,"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."}}