{"id":"W2120441811","doi":"10.1109/ccece.2004.1345031","title":"Rate design rule for superposition coded modulations","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Additive white Gaussian noise; Interleaving; Computer science; Superposition principle; Rayleigh fading; Fading; Electronic engineering; Channel (broadcasting); Modulation (music); Block Error Rate; Decoding methods; Theoretical computer science; Algorithm; Telecommunications; Mathematics; Engineering; Telecommunications link","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":[0.00006152177,0.00005963883,0.00005795608,0.00004152941,0.00006053715,0.000012139,0.00008792858,0.00003503498,0.00001339171],"category_scores_gemma":[0.00001104213,0.00006367102,0.00002267453,0.00007115183,0.00001137824,0.0001614043,0.000008525991,0.00003926613,0.00001347098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007085477,"about_ca_system_score_gemma":0.000006560525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003660464,"about_ca_topic_score_gemma":0.00000349012,"domain_scores_codex":[0.9997148,0.000009170775,0.0001026859,0.00005783519,0.00002806499,0.00008743045],"domain_scores_gemma":[0.999666,0.00005374072,0.000008620594,0.0002116495,0.00003838318,0.00002156918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002928137,0.00001153599,0.000001957612,0.000007367752,0.000006228032,7.138317e-8,0.00005088454,0.8472515,0.1154841,0.03464994,0.0002045158,0.002328954],"study_design_scores_gemma":[0.0002921673,0.00001869361,0.0001128549,0.00001200911,0.000004205882,8.995169e-7,0.00001336412,0.224981,0.6856319,0.0882692,0.0005438858,0.0001198739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004709045,0.0000417786,0.9923478,0.0001389322,0.00002257482,0.0003318382,0.000005480926,0.001260534,0.001141996],"genre_scores_gemma":[0.5768348,0.00003223036,0.4228679,0.00002700907,0.000007119678,0.0001531898,0.00002089827,0.00001448151,0.00004239347],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6222706,"threshold_uncertainty_score":0.2596429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741453107825408,"score_gpt":0.2640342879395082,"score_spread":0.2366197568612541,"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."}}