{"id":"W15874310","doi":"10.1049/el:20020371","title":"Jointly optimal transmit and receive diversity","year":2002,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transmit diversity; Fading; Maximal-ratio combining; Signal-to-noise ratio (imaging); Transmission (telecommunications); Computer science; Diversity gain; Antenna diversity; Diversity combining; Degradation (telecommunications); Constraint (computer-aided design); Diversity scheme; Electronic engineering; Outage probability; Telecommunications; Mathematics; Channel (broadcasting); Antenna (radio); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009784494,0.001101269,0.00134743,0.0003227117,0.0003498889,0.001288189,0.0006242272,0.001003782,0.002379075],"category_scores_gemma":[0.002895418,0.0006633208,0.0005403844,0.000777106,0.0006591364,0.001347234,0.001289033,0.0006394382,0.001182704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000477747,"about_ca_system_score_gemma":0.001052378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005220979,"about_ca_topic_score_gemma":0.001059639,"domain_scores_codex":[0.9982848,0.0005374595,0.00008074861,0.0002835975,0.0004910395,0.0003222938],"domain_scores_gemma":[0.9989532,0.0005230713,0.0001443792,0.000174034,0.0001626317,0.00004267072],"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":[0.0004997277,0.00008200029,0.0008068662,0.0002323762,0.0002000769,0.0002149932,0.0001637066,0.6660299,0.03583283,0.07134381,0.004129063,0.2204646],"study_design_scores_gemma":[0.0001061584,0.0002768808,0.0006501114,0.00002856041,0.0001081404,0.0004261803,0.0000502148,0.9286756,0.01240223,0.05058082,0.006645463,0.00004959202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02812329,0.0007245179,0.9580594,0.000299264,0.0000545252,0.00004828265,0.000169277,0.0003492271,0.01217225],"genre_scores_gemma":[0.7759101,0.0009768592,0.2111297,0.0002212747,0.0002073419,0.0001781698,0.0003070215,0.00008687277,0.01098262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002379075,"threshold_uncertainty_score":0.007958829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439220234241512,"score_gpt":0.2133054624157441,"score_spread":0.188913260073329,"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."}}