{"id":"W2138164181","doi":"10.1109/icwc.1992.200754","title":"Switched diversity on Nakagami channels","year":2003,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Nakagami distribution; Fading; Antenna (radio); Diversity combining; Bit error rate; Topology (electrical circuits); Rayleigh fading; Mathematics; Computer science; Channel (broadcasting); Telecommunications; Algorithm; Statistics; Combinatorics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006488523,0.0007719683,0.0004230155,0.0005106825,0.0003884366,0.001001127,0.0004785643,0.0004890136,0.001681833],"category_scores_gemma":[0.002331141,0.0001949832,0.0003877876,0.0006622589,0.001036074,0.001064877,0.0005479966,0.0005804744,0.0002230867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296742,"about_ca_system_score_gemma":0.0004240282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003313518,"about_ca_topic_score_gemma":0.001913695,"domain_scores_codex":[0.9993894,0.0001741975,0.00001095297,0.00005776524,0.000183521,0.0001842316],"domain_scores_gemma":[0.9983171,0.001087004,0.0001946015,0.00009775029,0.0002394465,0.00006407956],"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":[0.0002319353,0.00003377486,0.001092926,0.00004746002,0.00006933881,0.0001823863,0.00009634575,0.9543522,0.007049518,0.02689704,0.0004105871,0.009536414],"study_design_scores_gemma":[0.00001000764,0.00007502817,0.0003288924,0.000004898945,0.00001788804,0.00003636598,0.00002388187,0.9911884,0.001677217,0.006403762,0.0002248049,0.000008843442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6200055,0.001417311,0.3631684,0.000318637,0.0001018631,0.00005426516,0.0001139071,0.0001981251,0.0146221],"genre_scores_gemma":[0.9925498,0.0004407536,0.004555651,0.000040549,0.00004814813,0.00001317109,0.00002121845,0.00001263893,0.002318059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003313518,"threshold_uncertainty_score":0.009408593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06306461481948664,"score_gpt":0.2682773651569592,"score_spread":0.2052127503374725,"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."}}