{"id":"W2147317567","doi":"10.1109/tcomm.2009.09.070577","title":"Antenna/relay selection for coded cooperative networks with AF relaying","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Relay; Computer science; Bit error rate; Selection (genetic algorithm); Transmission (telecommunications); Antenna (radio); Phase-shift keying; Relay channel; Electronic engineering; Reliability (semiconductor); Cooperative diversity; Telecommunications; Decoding methods; Topology (electrical circuits); Fading; Engineering; Power (physics); Electrical engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003520463,0.0002446492,0.0002393658,0.0002052324,0.002107071,0.0002381033,0.001788777,0.0001060429,0.00001602713],"category_scores_gemma":[0.0000134677,0.0002261786,0.0001129205,0.001259174,0.0001244575,0.0006144091,0.00001241431,0.0006253601,0.00001719154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142983,"about_ca_system_score_gemma":0.0001203758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006723074,"about_ca_topic_score_gemma":0.0003502433,"domain_scores_codex":[0.9984328,0.000316868,0.0003640145,0.0003851463,0.000170571,0.0003306567],"domain_scores_gemma":[0.9964831,0.0005989099,0.0001370035,0.002123324,0.0005372404,0.0001203879],"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":[0.0002439363,0.001708161,0.00003638032,0.000008670937,0.0002560533,0.000001145718,0.002694352,0.6536305,0.00575945,0.115904,0.001544564,0.2182128],"study_design_scores_gemma":[0.0009003004,0.00058649,0.0001395358,0.00008616949,0.00003493674,0.00002226946,0.00007008263,0.991521,0.001439263,0.0001377221,0.004737275,0.0003249495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003974795,0.0003668812,0.9890597,0.007602559,0.0001434697,0.0007260366,0.000007149379,0.0004436859,0.001253074],"genre_scores_gemma":[0.8949381,0.001798963,0.1011355,0.001155286,0.00002549332,0.0002971122,0.00001360628,0.00001936798,0.0006166508],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8945406,"threshold_uncertainty_score":0.9991921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04437427375651506,"score_gpt":0.2944433003551277,"score_spread":0.2500690265986127,"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."}}