{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001386066,0.00007200436,0.00007929485,0.00004918922,0.00005146288,0.000006404942,0.00006452905,0.00004992382,0.000009646349],"category_scores_gemma":[0.00001192916,0.00006940433,0.00001840892,0.00006426308,0.00002033966,0.0001087741,0.000008553315,0.00006166926,9.235028e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002525371,"about_ca_system_score_gemma":0.000002920288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000024595,"about_ca_topic_score_gemma":0.00004189578,"domain_scores_codex":[0.9996402,0.000007345011,0.0001357197,0.00007518588,0.00003385996,0.0001077351],"domain_scores_gemma":[0.9995993,0.0001475244,0.00001483388,0.0001563876,0.00003697822,0.00004493372],"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":[0.0001281142,0.00005071605,0.0001048629,0.00008876978,0.00006008066,9.419879e-7,0.00109991,0.06889964,0.4028519,0.05340758,0.001532164,0.4717753],"study_design_scores_gemma":[0.0003079106,0.00002912161,0.001625597,0.00002000219,0.000005663974,9.582103e-7,0.00009070757,0.7206808,0.2627323,0.008844018,0.005513348,0.0001495565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01161542,0.0001189419,0.9843932,0.00007693374,0.00001677797,0.0002752811,0.00001278727,0.0006389908,0.002851682],"genre_scores_gemma":[0.7912629,0.0001006802,0.208401,0.0000261078,0.000008196754,0.00002554067,0.00001003306,0.00001695432,0.0001486077],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7796475,"threshold_uncertainty_score":0.2830227,"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."}}