{"id":"W2059207464","doi":"10.1109/tit.2015.2412540","title":"Broadcasting Correlated Vector Gaussians","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Bounding overwatch; Upper and lower bounds; Gaussian; Covariance; Scalar (mathematics); Distortion (music); Algorithm; Mathematics; Computer science; Constraint (computer-aided design); Fading; Bandwidth (computing); Mathematical optimization; Telecommunications; Decoding methods; Statistics; Artificial intelligence; Mathematical analysis; 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":[0.002270813,0.0005845939,0.001227823,0.0004246155,0.0005760717,0.001390353,0.0008687365,0.001380672,0.001676998],"category_scores_gemma":[0.006581499,0.0004489486,0.0004393317,0.001048887,0.00150117,0.002008267,0.002185341,0.001274967,0.0004487162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183699,"about_ca_system_score_gemma":0.0007370127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008190415,"about_ca_topic_score_gemma":0.0007444052,"domain_scores_codex":[0.9982181,0.00062527,0.00006852431,0.0002755111,0.0005838855,0.0002286164],"domain_scores_gemma":[0.9962805,0.002469647,0.0003932744,0.0004306372,0.0003470783,0.00007890491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007440052,0.00005918687,0.0009410284,0.0003206544,0.0001060281,0.0005354705,0.0003819492,0.5276555,0.01795876,0.3830084,0.002730051,0.06555887],"study_design_scores_gemma":[0.00006286538,0.00008623537,0.0003034177,0.00002118814,0.00003482749,0.0002641927,0.0000869278,0.9128134,0.006128648,0.07843792,0.001731455,0.00002899204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03876224,0.0003620934,0.9565887,0.0003580718,0.00004321719,0.00003161916,0.0000958669,0.0001513792,0.003606733],"genre_scores_gemma":[0.9054245,0.0007212696,0.08780936,0.0002284074,0.0001406364,0.00009567037,0.0001904811,0.00005132208,0.005338383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002270813,"threshold_uncertainty_score":0.01200938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671369347719719,"score_gpt":0.2250329422841436,"score_spread":0.2083192488069464,"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."}}