{"id":"W2013035896","doi":"10.1109/bsc.2010.5472937","title":"Relay selection with analog network coding in bidirectional networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Relay; Linear network coding; Outage probability; Computer science; Relay channel; Computer network; Coding (social sciences); Selection (genetic algorithm); Terminal (telecommunication); Protocol (science); Topology (electrical circuits); Channel (broadcasting); Mathematics; Fading; Engineering; Power (physics); Electrical engineering; Statistics; Artificial intelligence","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":[0.0009841594,0.0004139182,0.0003370151,0.000324042,0.0003189593,0.0005997353,0.0005370217,0.0005348608,0.0009777783],"category_scores_gemma":[0.002676339,0.0001830968,0.0002241164,0.00064887,0.0008868035,0.000914,0.0007733201,0.0003923285,0.0001311435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006835955,"about_ca_system_score_gemma":0.0004344543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001728141,"about_ca_topic_score_gemma":0.001386123,"domain_scores_codex":[0.9994272,0.0003204847,0.000014411,0.00004041467,0.0001166522,0.00008081643],"domain_scores_gemma":[0.9985874,0.001056763,0.0001552676,0.00005978917,0.0001118563,0.0000290211],"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":[0.0000854797,0.00003332457,0.0007034848,0.00009458078,0.00002007172,0.000271551,0.0001766021,0.7491382,0.00455844,0.2242178,0.0004592126,0.02024112],"study_design_scores_gemma":[0.00001176553,0.00003687024,0.000100544,0.000008764351,0.000008668408,0.00006322079,0.00003187824,0.9631107,0.0007854321,0.03512651,0.0007076865,0.000007947784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1082126,0.0008202206,0.8771849,0.0002501194,0.00003487736,0.00004260177,0.0000433987,0.0000599796,0.0133513],"genre_scores_gemma":[0.9692202,0.0006876421,0.02797311,0.00005021035,0.00002899184,0.00006392482,0.00002166063,0.00001086419,0.001943371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001728141,"threshold_uncertainty_score":0.005204797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556959459457842,"score_gpt":0.2467303487676991,"score_spread":0.2311607541731207,"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."}}