{"id":"W2162263242","doi":"10.1109/isit.2009.5205615","title":"Distortion exponents for decode-and-forward multi-relay cooperative networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Relay; Computer science; Multiplexing; Relay channel; Transmission (telecommunications); Distortion (music); Fading; Gaussian; Topology (electrical circuits); Signal-to-noise ratio (imaging); Bandwidth (computing); Cooperative diversity; Telecommunications; Decoding methods; Electronic engineering; Computer network; Mathematics; Engineering; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002461893,0.0001264328,0.0001418181,0.00004750676,0.0003421893,0.000144012,0.0004325442,0.00005182236,0.00001376942],"category_scores_gemma":[0.00004874979,0.0001071642,0.00004777106,0.0001983072,0.00002756733,0.0003974703,0.0001310807,0.0001008167,0.000007809844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004312728,"about_ca_system_score_gemma":0.00001892677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001575233,"about_ca_topic_score_gemma":0.00003955106,"domain_scores_codex":[0.9991372,0.00007358597,0.000211934,0.0002864232,0.00008389402,0.0002070067],"domain_scores_gemma":[0.9992012,0.0001043827,0.0000575192,0.0003917115,0.0001486347,0.00009658635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003139009,0.0002290946,0.0005462022,0.000003349875,0.00003161368,0.00000131234,0.001182488,0.006501066,0.0007450727,0.2444016,0.006156867,0.7401699],"study_design_scores_gemma":[0.0006818954,0.0001338542,0.006150315,0.00001582958,0.000004350343,0.000002583558,0.00001746001,0.987348,0.0003503401,0.0001530516,0.004959762,0.0001825869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003354943,0.0005607742,0.9932738,0.001480178,0.0001593335,0.0003232933,6.27811e-7,0.0001450825,0.0007019465],"genre_scores_gemma":[0.9251661,0.0006189906,0.07152697,0.00151683,0.00004314008,0.00003913317,0.000009343274,0.000005192196,0.001074265],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9808469,"threshold_uncertainty_score":0.437003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0408084099737696,"score_gpt":0.3013496460186613,"score_spread":0.2605412360448917,"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."}}