{"id":"W2116324928","doi":"10.1109/vetecs.2009.5073454","title":"Comparison of Relaying Strategies for Cooperative Diversity Systems with Adaptive Modulation","year":2009,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Relay; Computer science; Cooperative diversity; Spectral efficiency; Link adaptation; Outage probability; Signal-to-noise ratio (imaging); Transmission (telecommunications); Diversity gain; Maximal-ratio combining; Diversity combining; Modulation (music); Fading; Electronic engineering; Computer network; Telecommunications; Decoding methods; Engineering; Channel (broadcasting)","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":[0.001762921,0.0006267566,0.0005917487,0.0008376741,0.000352876,0.0007035764,0.0006964268,0.000707499,0.0008523815],"category_scores_gemma":[0.007084723,0.0001619307,0.0002840534,0.0005365341,0.0003770661,0.001019453,0.0004409614,0.0002779459,0.0001569491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005039707,"about_ca_system_score_gemma":0.000389686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004593628,"about_ca_topic_score_gemma":0.0007592411,"domain_scores_codex":[0.9989562,0.0005402875,0.00007365896,0.0000789742,0.0002740126,0.00007683881],"domain_scores_gemma":[0.9959366,0.003310923,0.0001457042,0.0002083927,0.0003484976,0.00004995624],"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":[0.0009743376,0.0002803044,0.002690755,0.0005565466,0.0003927944,0.0003264884,0.0005225841,0.5632961,0.02670408,0.05964587,0.0009563569,0.3436538],"study_design_scores_gemma":[0.0002348205,0.001757627,0.002212555,0.00007259553,0.0002526196,0.0004927357,0.0002720671,0.9558225,0.01152488,0.02452081,0.002774698,0.00006211699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4414594,0.009924125,0.532591,0.0005559254,0.0001084467,0.0002368667,0.00008710346,0.0002558689,0.01478121],"genre_scores_gemma":[0.9658132,0.001153541,0.03220078,0.00005581786,0.00001982959,0.0000760269,0.00003084763,0.00001205182,0.0006379334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001762921,"threshold_uncertainty_score":0.009323359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101761244102216,"score_gpt":0.326211266015053,"score_spread":0.2160351416048314,"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."}}