{"id":"W2111960598","doi":"10.1109/wcnc.2011.5779318","title":"Amplify-and-forward partial relay selection with feedback delay","year":2011,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Relay; Selection (genetic algorithm); Channel (broadcasting); Relay channel; Control theory (sociology); Computer science; Signal-to-noise ratio (imaging); Channel state information; Bit error rate; SIGNAL (programming language); Outage probability; Noise (video); Telecommunications; Fading; Power (physics); Wireless; Physics; 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":[0.001662736,0.00119616,0.0007106138,0.0003962831,0.00041221,0.0007464414,0.0006780434,0.000459664,0.0007024271],"category_scores_gemma":[0.007879353,0.0002500108,0.0003086089,0.0005456463,0.0008156671,0.001087211,0.0006303095,0.0003112924,0.0001315023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007479118,"about_ca_system_score_gemma":0.000691885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001812748,"about_ca_topic_score_gemma":0.001694744,"domain_scores_codex":[0.9988418,0.0004180724,0.0000612329,0.0001507907,0.0003253471,0.000202876],"domain_scores_gemma":[0.9887915,0.008835276,0.0009465507,0.000611026,0.0006850169,0.0001308017],"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":[0.001841911,0.00008087284,0.004560017,0.0001672043,0.0001458461,0.0005399243,0.0001634526,0.9028741,0.02687775,0.00702338,0.0002085926,0.05551698],"study_design_scores_gemma":[0.000120378,0.002356946,0.001757742,0.00001881784,0.0001727103,0.0009116915,0.0001001697,0.9489433,0.03981739,0.005057703,0.0007051015,0.00003819777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8103258,0.001202294,0.1846885,0.0001459183,0.0000403888,0.00006252164,0.0000940082,0.0004133506,0.003027244],"genre_scores_gemma":[0.9937902,0.0001359965,0.005735381,0.00001242524,0.000008518738,0.00001028648,0.00001407895,0.000003985169,0.0002891864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001812748,"threshold_uncertainty_score":0.008793473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04642730755612515,"score_gpt":0.2490173489494301,"score_spread":0.2025900413933049,"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."}}