{"id":"W2165549071","doi":"10.1109/glocom.1996.594399","title":"Iterative decoding of rate adaptive multilevel coded modulation for mobile satellite communication","year":2002,"lang":"en","type":"article","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Decoding methods; Computer science; Link adaptation; Adaptive coding; Communications satellite; Coding (social sciences); Algorithm; Real-time computing; Electronic engineering; Satellite; Mathematics; Fading; Engineering; Statistics; Data compression","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":[0.0002562235,0.0002564704,0.0002357758,0.0001843443,0.0002059029,0.000334285,0.0003147463,0.0004081933,0.0009103162],"category_scores_gemma":[0.001888631,0.00009376244,0.0001716313,0.0003030491,0.0002882863,0.0004506056,0.0002809292,0.0003509503,0.0002892331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003962594,"about_ca_system_score_gemma":0.000435544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001572679,"about_ca_topic_score_gemma":0.001912659,"domain_scores_codex":[0.9997129,0.0000852803,0.000008178858,0.00001936897,0.0001438108,0.00003035524],"domain_scores_gemma":[0.9992849,0.0003681933,0.00007757362,0.00005617638,0.0002008383,0.00001232592],"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":[0.000273552,0.0000496431,0.0027272,0.0002168607,0.00007060339,0.0003578577,0.0003361951,0.5582377,0.1163379,0.08303723,0.001688582,0.2366667],"study_design_scores_gemma":[0.000007529704,0.00006951659,0.0004014265,0.0000111647,0.000009403832,0.0001164851,0.00001517038,0.9746715,0.01750499,0.005471383,0.001710356,0.00001104215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1116627,0.0007760902,0.8799251,0.0002133168,0.00003961169,0.00003814491,0.00003994671,0.000259697,0.00704534],"genre_scores_gemma":[0.8306738,0.0005393507,0.1656738,0.00006506887,0.000029976,0.00003874961,0.00006930881,0.00003814616,0.00287182],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001572679,"threshold_uncertainty_score":0.003127038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07630315263649454,"score_gpt":0.2742357989207157,"score_spread":0.1979326462842212,"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."}}