{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003459791,0.0001361372,0.0001129189,0.0002498076,0.0001011097,0.00006150082,0.000207426,0.0001176388,0.0001132942],"category_scores_gemma":[0.00001520723,0.0001454548,0.00005231957,0.0002828278,0.00004327564,0.001075158,0.000001153596,0.0003516347,0.0006543851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533578,"about_ca_system_score_gemma":0.00002947943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006879457,"about_ca_topic_score_gemma":0.000002603862,"domain_scores_codex":[0.9991975,0.00006319748,0.0003401032,0.00005430256,0.0001876112,0.0001573147],"domain_scores_gemma":[0.9992734,0.0001026766,0.00005268458,0.0003628148,0.0001038708,0.0001045188],"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":[0.000153837,0.0001161847,0.000005516712,0.0001103997,0.0001480623,0.000001689305,0.02059593,0.6512041,0.0008083353,0.02568965,0.006488343,0.294678],"study_design_scores_gemma":[0.002554571,0.0002981978,0.0001160142,0.0003164959,0.0000960918,0.000107314,0.005333125,0.734166,0.1714392,0.009204069,0.07493026,0.001438753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005540336,0.0000338531,0.9621609,0.00005766823,0.0005178358,0.0001817626,0.00002652484,0.002044657,0.02943644],"genre_scores_gemma":[0.9978124,0.00003732815,0.00179628,0.0001393811,0.00001402258,0.00006671497,0.00001551447,0.00002120163,0.00009718422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.992272,"threshold_uncertainty_score":0.8411015,"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."}}