{"id":"W1503253869","doi":"10.1109/icct.1996.545134","title":"Some closed-form solutions to the equal gain combiner over Rayleigh fading channels","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fading; Multipath propagation; Rayleigh fading; Fading distribution; Computer science; Rake receiver; Algorithm; Probability density function; SIGNAL (programming language); Rayleigh distribution; Channel (broadcasting); Telecommunications; Electronic engineering; Mathematics; Statistics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007832556,0.0001392194,0.0001380034,0.0001552608,0.0006555893,0.0003881608,0.003080955,0.00006326552,0.0003073988],"category_scores_gemma":[0.0000660498,0.00009684922,0.00007815079,0.0009008824,0.00007154758,0.0006765872,0.001887931,0.000339992,0.0009600162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009972545,"about_ca_system_score_gemma":0.00002518299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007031127,"about_ca_topic_score_gemma":0.00004276269,"domain_scores_codex":[0.9980271,0.0002008105,0.0002540871,0.0003106475,0.0005447625,0.0006625433],"domain_scores_gemma":[0.9975426,0.0004215512,0.00004653002,0.001704164,0.00009888495,0.0001862874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001889405,0.00009896752,0.00003613977,0.000003051714,0.00002043652,0.000002741497,0.00199137,0.01299888,0.0001816854,0.8099133,0.1504559,0.02429559],"study_design_scores_gemma":[0.000255352,0.00004809488,0.0002518884,0.00001277866,0.000001527,0.000004848241,0.00003256135,0.9501739,0.0002129976,0.005315186,0.04350717,0.0001837522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007834371,0.0009211073,0.8909429,0.07048007,0.0008303394,0.0008489065,0.000004483885,0.0005529735,0.02758484],"genre_scores_gemma":[0.9866433,0.0001368589,0.004003671,0.00241657,0.000277209,0.00008954184,0.000002505657,0.00001367418,0.006416626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.978809,"threshold_uncertainty_score":0.9998178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08536942949196703,"score_gpt":0.2998110718962072,"score_spread":0.2144416424042402,"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."}}