{"id":"W2047562852","doi":"10.1109/vetecs.2010.5494038","title":"Outage Probability of Selection Cooperation with Channel Estimation Errors","year":2010,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Relay; Channel (broadcasting); Selection (genetic algorithm); Computer science; Outage probability; Fading; Signal-to-noise ratio (imaging); Imperfect; Relay channel; Upper and lower bounds; Algorithm; Probability of error; Telecommunications; Mathematics; Artificial intelligence; Power (physics)","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":[0.008499962,0.001060606,0.002033641,0.0009095454,0.0008825143,0.001657892,0.001123656,0.002057171,0.001806085],"category_scores_gemma":[0.04399282,0.0006494828,0.0004751658,0.001141656,0.003369833,0.002354312,0.002116472,0.001185438,0.0003121179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683883,"about_ca_system_score_gemma":0.001262059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002163206,"about_ca_topic_score_gemma":0.0008894734,"domain_scores_codex":[0.9947816,0.002537053,0.0002113828,0.0005403173,0.001016416,0.0009131914],"domain_scores_gemma":[0.9216673,0.06660546,0.005508267,0.002297802,0.003092269,0.0008289484],"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":[0.001746177,0.000131197,0.01634065,0.0002634918,0.0002102763,0.002111563,0.0007310567,0.9214975,0.005878132,0.03560603,0.001860934,0.01362309],"study_design_scores_gemma":[0.0001396075,0.000388922,0.007328947,0.00005255718,0.0001489392,0.001451609,0.0003167331,0.9638118,0.005536241,0.02024106,0.0004896639,0.00009390852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7711957,0.001648469,0.2127352,0.001479698,0.00007810417,0.00007218979,0.0006333665,0.0004759901,0.01168129],"genre_scores_gemma":[0.9976243,0.0001778651,0.001449582,0.00005910592,0.00002728331,0.00002590434,0.00008480359,0.00002074951,0.000530387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008499962,"threshold_uncertainty_score":0.04495263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829285739503336,"score_gpt":0.2674453813342049,"score_spread":0.2391525239391715,"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."}}