{"id":"W2040483094","doi":"10.1109/tcomm.2010.062310.090065","title":"Selective Cooperative Relaying over Time-Varying Channels","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Relay; Relay channel; Fading; Bandwidth (computing); Computer science; Computer network; Electronic engineering; Power (physics); Channel (broadcasting); Engineering; 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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000408131,0.0002396671,0.0002212243,0.0002687137,0.002029052,0.0002941668,0.002898946,0.0001292647,0.0002244371],"category_scores_gemma":[0.00003393889,0.0002492403,0.0001291751,0.001249424,0.0002091372,0.000823312,0.00005753242,0.001462335,0.0004272599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008862447,"about_ca_system_score_gemma":0.0001533881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001563342,"about_ca_topic_score_gemma":0.0001489844,"domain_scores_codex":[0.9983236,0.0003808206,0.0003615628,0.0003953105,0.0002266892,0.0003120499],"domain_scores_gemma":[0.9950467,0.0007827065,0.0001174287,0.003537879,0.0003673434,0.0001479476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007361042,0.003292314,0.00007705478,0.00002156023,0.0006198681,0.000006147885,0.01953709,0.02998765,0.3820431,0.2020959,0.007067032,0.3551787],"study_design_scores_gemma":[0.001147974,0.0001959084,0.000275378,0.000107652,0.00004076702,0.00003826516,0.00005812063,0.9195372,0.05095714,0.00127394,0.02545492,0.0009127297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003485225,0.000153022,0.9713674,0.004655186,0.0007588617,0.0004763321,0.00001160579,0.0005834746,0.01850895],"genre_scores_gemma":[0.9701575,0.0006528405,0.02657479,0.0007119966,0.00003910123,0.000225556,0.000007466679,0.00002615696,0.001604593],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9666722,"threshold_uncertainty_score":0.999996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03669912004018087,"score_gpt":0.2961604010098597,"score_spread":0.2594612809696788,"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."}}