{"id":"W2097473185","doi":"10.1109/twc.2008.070688","title":"On the performance of amplify-and-forward cooperative systems with fixed gain relays","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Hop (telecommunications); Diversity gain; Computer science; Wireless; Bit error rate; Cooperative diversity; Probability of error; Transmission (telecommunications); Diversity combining; Wireless network; Telecommunications; Algorithm; Fading; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00220587,0.001765943,0.001205982,0.0008164859,0.0008124584,0.001257048,0.0008617727,0.001450917,0.001915797],"category_scores_gemma":[0.009587639,0.0004261408,0.0005445734,0.0009093077,0.001316389,0.001274153,0.001272566,0.0009150011,0.0003077771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543898,"about_ca_system_score_gemma":0.0007748049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006398138,"about_ca_topic_score_gemma":0.005684088,"domain_scores_codex":[0.9985821,0.0004736908,0.00004262432,0.0001310075,0.0004506487,0.000319856],"domain_scores_gemma":[0.9871652,0.009552033,0.0008536348,0.0003480641,0.001895364,0.0001857743],"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":[0.0005207015,0.00005234156,0.001835106,0.0002395344,0.0001223934,0.0003430047,0.0003787022,0.9652516,0.00788362,0.01071464,0.0005276051,0.01213069],"study_design_scores_gemma":[0.00003018851,0.0004427322,0.001248462,0.00003018537,0.00007900333,0.0001724812,0.0001527905,0.9915044,0.002407981,0.00360827,0.0002921344,0.00003141271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.789714,0.004995286,0.1781378,0.0007129696,0.0001283695,0.0001456084,0.000364642,0.0003267202,0.02547455],"genre_scores_gemma":[0.9962101,0.0005569636,0.002227774,0.00002319632,0.0000265725,0.00002563212,0.00004829132,0.00001228965,0.0008690204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006398138,"threshold_uncertainty_score":0.01272178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04753577101598859,"score_gpt":0.2582160746474685,"score_spread":0.2106803036314799,"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."}}