{"id":"W1979603721","doi":"10.1109/icc.2014.6884187","title":"AF turbo-coded selective relaying with imperfect channel state information","year":2014,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Pairwise error probability; Computer science; Turbo code; Phase-shift keying; Relay; Algorithm; Channel state information; Upper and lower bounds; Bit error rate; Signal-to-noise ratio (imaging); Channel (broadcasting); Probability density function; Keying; Decoding methods; Telecommunications; Statistics; Fading; Mathematics; Wireless; 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":[0.001806081,0.0009546457,0.0008091539,0.0004961807,0.0004694157,0.0007828294,0.000769683,0.001083867,0.0004222806],"category_scores_gemma":[0.01112836,0.0002891418,0.000324928,0.0008055181,0.001416853,0.001239282,0.0005825168,0.0004480947,0.0001493265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007905689,"about_ca_system_score_gemma":0.0008983835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005420608,"about_ca_topic_score_gemma":0.004169017,"domain_scores_codex":[0.9990631,0.0003531774,0.0000403664,0.00008641132,0.0002996533,0.0001573813],"domain_scores_gemma":[0.9860948,0.01108018,0.001027404,0.0003744339,0.001278041,0.0001451705],"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":[0.0001511751,0.00001910282,0.001001999,0.00005358745,0.00002933769,0.0004540567,0.00009416459,0.9838869,0.003881248,0.006823509,0.00008135708,0.00352359],"study_design_scores_gemma":[0.00001105326,0.00008430407,0.0002305949,0.000004825671,0.00001323385,0.0001401241,0.00001808023,0.9961444,0.001632149,0.001662459,0.00005095907,0.000007799369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6693314,0.0005768332,0.3232305,0.0002310039,0.00003000225,0.00006495503,0.0001122783,0.0001521249,0.006270931],"genre_scores_gemma":[0.9911779,0.0001395427,0.007801076,0.00001787172,0.000008546876,0.00002061131,0.00002092573,0.000004920755,0.0008086478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005420608,"threshold_uncertainty_score":0.01077807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283556946458549,"score_gpt":0.2278186841688824,"score_spread":0.2149831147042969,"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."}}