{"id":"W2243731809","doi":"10.1109/conecct.2015.7383866","title":"Performance analysis of variable rate multicarrier transmission schemes over LMS channel","year":2015,"lang":"en","type":"article","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de la Santé et des Services sociaux","keywords":"Computer science; Code division multiple access; Transmission (telecommunications); Channel (broadcasting); Bit error rate; Computer network; Variable (mathematics); Electronic engineering; Mobile telephony; Diversity scheme; Frequency-division multiple access; Fading; Telecommunications; Orthogonal frequency-division multiplexing; Mobile radio; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003542403,0.00008995177,0.0002195681,0.0001755888,0.00001676177,0.00001060039,0.0001834979,0.00005958329,0.0001681543],"category_scores_gemma":[0.00001500689,0.00007686202,0.00005366458,0.0006143093,0.00001431868,0.0001434278,0.00001930847,0.00006152425,0.00002153813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003124394,"about_ca_system_score_gemma":0.00001292623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000550973,"about_ca_topic_score_gemma":0.00000297902,"domain_scores_codex":[0.9993672,0.00003349507,0.0002568096,0.0000872843,0.0001338918,0.0001213277],"domain_scores_gemma":[0.9992858,0.00004524817,0.00002864843,0.0004517111,0.00009558465,0.00009306994],"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":[0.00006100104,0.00009952017,0.03157489,0.0003800709,0.002721154,7.916203e-7,0.007693509,0.8603538,0.08212316,0.001002593,0.0007249093,0.01326465],"study_design_scores_gemma":[0.0002366057,0.000007757046,0.003194295,0.00001963912,0.0001083261,2.336375e-7,0.0001114521,0.9612877,0.01164611,0.000007712194,0.02327866,0.0001015593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8838714,0.001825051,0.06244381,0.00002685528,0.0001886423,0.0002149036,0.00001023361,0.0003843116,0.05103482],"genre_scores_gemma":[0.9960122,0.0002332743,0.00310223,0.00001373517,0.00001164573,0.000009566808,0.00001520785,0.00001522572,0.0005869233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121408,"threshold_uncertainty_score":0.3134342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353743749473235,"score_gpt":0.2504660245868049,"score_spread":0.2150916496394814,"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."}}