{"id":"W2132061279","doi":"10.1109/twc.2008.071098","title":"On the capacity of Rayleigh fading cooperative systems under adaptive transmission","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Rayleigh fading; Independent and identically distributed random variables; Fading; Upper and lower bounds; Channel capacity; Computer science; Signal-to-noise ratio (imaging); Control theory (sociology); Link adaptation; Transmission (telecommunications); Fading distribution; Channel (broadcasting); Topology (electrical circuits); Mathematics; Telecommunications; Random variable; Statistics; Mathematical analysis","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":[0.001764932,0.000631186,0.0007287786,0.0008053431,0.0004744261,0.001276183,0.0007800906,0.0007179528,0.001649292],"category_scores_gemma":[0.01563855,0.000377286,0.0002568671,0.0009867267,0.002466978,0.002012443,0.001453625,0.0008153384,0.0003318792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527969,"about_ca_system_score_gemma":0.001200234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003938375,"about_ca_topic_score_gemma":0.001638525,"domain_scores_codex":[0.9985373,0.0005186692,0.00004118384,0.000132959,0.0004285063,0.0003414145],"domain_scores_gemma":[0.988261,0.009171681,0.0005483663,0.0007487192,0.001134518,0.0001355725],"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":[0.0001348746,0.00001918535,0.0005801376,0.0001218792,0.00003413635,0.0002073829,0.0002175741,0.8532735,0.004343625,0.1272665,0.001171307,0.01262995],"study_design_scores_gemma":[0.00001390853,0.00002320648,0.0002475544,0.00004096076,0.00001369058,0.00007690697,0.00005143307,0.9538844,0.001845013,0.04309545,0.0006854392,0.00002203392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3028352,0.005092781,0.6507213,0.00147501,0.0001265853,0.00005004903,0.0003603982,0.0005878207,0.03875083],"genre_scores_gemma":[0.9937604,0.0009995996,0.00417554,0.00005654709,0.00006109023,0.00005284217,0.00005808317,0.00002446492,0.0008113542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003938375,"threshold_uncertainty_score":0.01108623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07995144036716158,"score_gpt":0.2851358295160062,"score_spread":0.2051843891488446,"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."}}