{"id":"W2122701523","doi":"10.1109/vetecs.2007.555","title":"Adaptive Modulation and Code Rate for Turbo Coded OFDM Transmissions","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Link adaptation; Subcarrier; Orthogonal frequency-division multiplexing; Computer science; Turbo code; Phase-shift keying; Code rate; Quadrature amplitude modulation; Modulation (music); Algorithm; Bit error rate; Turbo; Electronic engineering; Channel (broadcasting); Fading; Decoding methods; Telecommunications; Engineering","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":[0.001173407,0.0003706254,0.0003485908,0.000548395,0.0003564566,0.0005849188,0.000525864,0.0006503992,0.0009813159],"category_scores_gemma":[0.008952611,0.0001638675,0.0001833183,0.0007155737,0.0005304145,0.0007384641,0.0004065227,0.0006634538,0.0004630522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000648559,"about_ca_system_score_gemma":0.0006762974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111618,"about_ca_topic_score_gemma":0.00130627,"domain_scores_codex":[0.9986902,0.0005793216,0.00004701076,0.00007860614,0.0005156865,0.0000890997],"domain_scores_gemma":[0.9974388,0.001541268,0.0002020677,0.000226947,0.0005541635,0.00003672963],"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":[0.0008392626,0.0001051066,0.00272181,0.0003255321,0.00007454173,0.0004966727,0.0003272138,0.4574057,0.05479136,0.1365095,0.003689531,0.3427139],"study_design_scores_gemma":[0.00003041109,0.000201768,0.0007683777,0.00005131727,0.00003548672,0.000569711,0.00003221365,0.9615442,0.01553295,0.01437373,0.006800257,0.00005968131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07441767,0.003556625,0.908644,0.0003976001,0.0001953254,0.00008775824,0.00006046896,0.0004150237,0.01222557],"genre_scores_gemma":[0.8369455,0.001508549,0.1583631,0.0001262261,0.0001228642,0.0001311923,0.00006256737,0.00006877451,0.00267135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001173407,"threshold_uncertainty_score":0.006205618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428130033184278,"score_gpt":0.2788719900635655,"score_spread":0.2545906897317227,"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."}}