{"id":"W2544361486","doi":"10.1109/allerton.2008.4797541","title":"Diversity-multiplexing tradeoff in multiple-relay network-part II: Multiple-antenna networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relay; MIMO; Rayleigh fading; Relay channel; Computer science; Multiplexing; Diversity gain; Topology (electrical circuits); Antenna (radio); Cooperative MIMO; Transmission (telecommunications); Fading; Computer network; Electronic engineering; Channel (broadcasting); Telecommunications; 3G MIMO; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001400162,0.001105398,0.0009779591,0.0005046356,0.0007501338,0.001412792,0.0009164097,0.00106802,0.001610635],"category_scores_gemma":[0.00339366,0.0004495181,0.0004151365,0.001027277,0.001079019,0.002350326,0.001128129,0.0006666598,0.0003405759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001301263,"about_ca_system_score_gemma":0.0004750895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005028201,"about_ca_topic_score_gemma":0.000617105,"domain_scores_codex":[0.9989467,0.0004755973,0.00003145784,0.0001400024,0.0002216188,0.0001846529],"domain_scores_gemma":[0.9973381,0.001831088,0.0002977001,0.0002170914,0.0002172925,0.00009862856],"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":[0.0001966865,0.00006873572,0.0009563304,0.0002934957,0.00009794121,0.0007427271,0.0001872348,0.7612003,0.02142657,0.1876848,0.001302671,0.02584247],"study_design_scores_gemma":[0.00002074784,0.0001615246,0.0003909199,0.00002361005,0.00004005705,0.0007778466,0.0000651688,0.9471288,0.004960245,0.04489922,0.001502093,0.00002984795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.170784,0.004408481,0.805108,0.0007017308,0.0001130095,0.00007840559,0.0001555718,0.0001620843,0.01848872],"genre_scores_gemma":[0.9757801,0.001317209,0.02116167,0.00006818607,0.00009565946,0.00005304895,0.00003188942,0.00001734403,0.001474943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001610635,"threshold_uncertainty_score":0.009441316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07939680573497047,"score_gpt":0.2468257054382214,"score_spread":0.167428899703251,"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."}}