{"id":"W2088662309","doi":"10.1109/qbsc.2012.6221357","title":"Power-constrained bandwidth-reduction source-channel mappings for fading channels","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Fading; Additive white Gaussian noise; Rayleigh fading; Computer science; Channel (broadcasting); Parametric statistics; Encoder; Algorithm; Fading distribution; Bandwidth (computing); Channel state information; Decoding methods; Mathematical optimization; Mathematics; Telecommunications; Wireless; 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":[0.0001821405,0.0001580339,0.0001560711,0.0001326879,0.00009959658,0.00002184964,0.000172835,0.00009730017,0.00007612745],"category_scores_gemma":[0.00002958948,0.0001680966,0.0000707916,0.0001295196,0.00003512883,0.0004348519,0.00003587412,0.0001184066,0.00002130041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007601987,"about_ca_system_score_gemma":0.000004091039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002697915,"about_ca_topic_score_gemma":3.016738e-7,"domain_scores_codex":[0.9992223,0.00001083622,0.0002169021,0.000108575,0.00007528884,0.0003661098],"domain_scores_gemma":[0.9994594,0.00005930174,0.00003891581,0.0003001611,0.00004780356,0.00009437477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006759313,0.0003057822,0.0001620447,0.0006124147,0.0003813971,5.220542e-7,0.02319754,0.1139091,0.6100644,0.08032929,0.02901405,0.1419559],"study_design_scores_gemma":[0.0008795617,0.00009060456,0.00009378889,0.0001358541,0.00002648904,0.00006524776,0.003106337,0.1090627,0.7845136,0.007374373,0.09349186,0.001159597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01304851,0.000269328,0.9769632,0.0001153845,0.0004400201,0.0003890096,0.000004503494,0.00207954,0.00669055],"genre_scores_gemma":[0.9671043,0.00006412924,0.03171066,0.00003503059,0.000161607,0.0002120746,0.00001520216,0.00005640546,0.0006406452],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9540557,"threshold_uncertainty_score":0.6854779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807522768317799,"score_gpt":0.2479412601851605,"score_spread":0.2298660325019825,"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."}}