{"id":"W1498905612","doi":"10.1109/pacrim.2005.1517336","title":"On the performance of a practical OFDM adaptive modulation scheme using a feedback channel","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Channel (broadcasting); Electronic engineering; Multipath propagation; Modulation (music); Transceiver; Link adaptation; Wireless; Scheme (mathematics); Telecommunications; Fading; Engineering; Mathematics; Acoustics; Physics","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":[0.00006883353,0.00008600892,0.00008246666,0.00003448643,0.00004000301,0.0000061037,0.00004221527,0.00004440883,0.00005249449],"category_scores_gemma":[0.00002119637,0.00006563557,0.00001995479,0.0001673057,0.00002191205,0.0002752559,0.00001256398,0.0001078171,0.00001567348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006977125,"about_ca_system_score_gemma":0.000008305789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001201922,"about_ca_topic_score_gemma":0.000001981252,"domain_scores_codex":[0.9995166,0.0000119243,0.0001412409,0.00008199759,0.0001218095,0.0001264437],"domain_scores_gemma":[0.9996842,0.00008163197,0.00004018244,0.0001281005,0.00004573627,0.00002020857],"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":[0.00002072506,0.0000134327,0.00001449051,0.000006093379,0.00001021552,8.81319e-8,0.0000719382,0.9935187,0.001657333,0.003798155,0.00007452151,0.0008143327],"study_design_scores_gemma":[0.0001208173,0.00002894854,0.0001573786,0.00003376205,0.000003896436,0.00000206422,0.00003405669,0.9941133,0.005345843,0.00005778704,0.00002671487,0.00007547685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.540688,0.00001403306,0.4573326,0.00009819434,0.00003577665,0.0001235852,6.261468e-7,0.00007192772,0.001635206],"genre_scores_gemma":[0.9051147,0.0000252546,0.09468246,0.00003708048,0.00007755288,0.000006244618,0.000001778284,0.00001876991,0.00003622713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3644266,"threshold_uncertainty_score":0.2676541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02830248983372782,"score_gpt":0.2472898680612775,"score_spread":0.2189873782275497,"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."}}