{"id":"W2109799347","doi":"10.1109/icc.2008.161","title":"Maximum Ratio Combining Precoding for Multi-Antenna Relay Systems","year":2008,"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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Relay; Precoding; Computer science; Transmission (telecommunications); Ergodic theory; Node (physics); Antenna (radio); Relay channel; Simple (philosophy); Computer network; Topology (electrical circuits); Electronic engineering; Telecommunications; MIMO; Mathematics; Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007961251,0.0006670719,0.0005764026,0.0002645779,0.0002243011,0.0007241201,0.0005856479,0.0006786938,0.001287905],"category_scores_gemma":[0.002405283,0.0003657153,0.0003717444,0.0005369221,0.000501428,0.0009797805,0.0006012549,0.0006140759,0.0006967278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000425551,"about_ca_system_score_gemma":0.0002911562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002972585,"about_ca_topic_score_gemma":0.0003832118,"domain_scores_codex":[0.99923,0.0003696913,0.00003088298,0.00008867287,0.0002282601,0.00005248946],"domain_scores_gemma":[0.9992552,0.0004439389,0.0001244809,0.00007523986,0.00008295752,0.00001817728],"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":[0.0002160763,0.00007330603,0.0003119596,0.0003773088,0.000104154,0.0003759816,0.0002666829,0.6818053,0.03323055,0.1104729,0.002443751,0.170322],"study_design_scores_gemma":[0.00003107215,0.0001632782,0.0001183944,0.0000209648,0.00002786953,0.0001840159,0.00002329568,0.9533002,0.005274525,0.03787627,0.002962715,0.00001740961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01014063,0.001079394,0.9844774,0.0001777606,0.00002654682,0.00002256281,0.00002152542,0.0001282746,0.003926003],"genre_scores_gemma":[0.6814944,0.002662329,0.3114174,0.0001864587,0.0001821993,0.0001589951,0.00007488034,0.00003948258,0.003783892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001287905,"threshold_uncertainty_score":0.004308462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1461941301734486,"score_gpt":0.3113155172136646,"score_spread":0.165121387040216,"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."}}