{"id":"W1981346363","doi":"10.1109/cwit.2013.6621593","title":"Low and high-delay source-channel coding with bandwidth expansion and correlated interference","year":2013,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Encoder; Additive white Gaussian noise; Shannon–Hartley theorem; Computer science; Algorithm; Upper and lower bounds; Transmitter; Gaussian; Decoding methods; Parametric statistics; Gaussian noise; Topology (electrical circuits); Mathematics; Channel (broadcasting); Telecommunications; Physics; Statistics","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":[0.00005403926,0.0001222962,0.0001297442,0.00006910237,0.00005219397,0.00007460621,0.0001024673,0.00007453641,0.00007162256],"category_scores_gemma":[0.000007108841,0.00009883043,0.000007028305,0.00007632833,0.00005902328,0.0002347579,0.00008931926,0.0001719905,0.00001196768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000154803,"about_ca_system_score_gemma":0.000003119103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001863324,"about_ca_topic_score_gemma":0.00003511852,"domain_scores_codex":[0.999541,0.00001716384,0.0001289126,0.0001222687,0.00006283346,0.0001277712],"domain_scores_gemma":[0.9995665,0.00006515299,0.00002044192,0.0002339519,0.00004534912,0.00006861616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002562898,0.0005475784,0.020206,0.002316273,0.0008039963,0.00004072839,0.05600663,0.018288,0.3004493,0.03071311,0.0325396,0.5378325],"study_design_scores_gemma":[0.0007978017,0.0002006472,0.005740696,0.0006794169,0.00001926291,0.00006839647,0.0008128562,0.9221389,0.06757031,0.001062468,0.0002918138,0.0006174456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7936935,0.0001659765,0.2041208,0.00009977866,0.00002124144,0.000176375,8.081025e-7,0.0007374777,0.0009840556],"genre_scores_gemma":[0.9960161,0.000467142,0.003286793,0.00004328064,0.000005851065,0.00003253392,0.000004717258,0.00002430603,0.0001192933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9038509,"threshold_uncertainty_score":0.4030188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007199253338597699,"score_gpt":0.1873200535766729,"score_spread":0.1801208002380753,"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."}}