{"id":"W4400491833","doi":"10.1109/aiiot61789.2024.10578951","title":"Computationally Efficient Global Optimization of Labelling in Non-Uniform QAM Constellations","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Labelling; Computer science; Constellation; Quadrature amplitude modulation; QAM; Mathematical optimization; Electronic engineering; Telecommunications; Mathematics; Engineering; Physics; Decoding methods; Chemistry; Bit error rate","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001333054,0.00005968487,0.00006918641,0.0001195219,0.00002238515,0.0001767448,0.0001551478,0.00001861318,0.0000282904],"category_scores_gemma":[0.00000593047,0.00005810463,0.00002670915,0.0007341188,0.00001808713,0.0003816775,0.00005011527,0.00002615829,0.00002164821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005998639,"about_ca_system_score_gemma":0.00008638979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001827088,"about_ca_topic_score_gemma":0.000006944373,"domain_scores_codex":[0.9992744,0.00001224946,0.0002638718,0.0001648016,0.0001815219,0.0001031373],"domain_scores_gemma":[0.9997117,0.0000722244,0.00003140303,0.00009265373,0.00006442334,0.00002758557],"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":[8.31111e-7,0.00002594643,0.0001305905,0.00001488738,0.000004648023,0.000001772358,0.0001847151,0.7744227,0.00005098079,0.2150297,0.000102495,0.01003073],"study_design_scores_gemma":[0.0001400492,0.00002871224,0.0005991528,0.00003886403,0.000001870298,0.000004274859,0.00003399758,0.9964059,0.0002729686,0.00234785,0.00006446074,0.00006189974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005390096,0.00002318847,0.9649975,0.0002392032,0.0001595349,0.0001500689,0.000009170561,0.00007146735,0.02895977],"genre_scores_gemma":[0.8003207,0.000002271543,0.1995383,0.00005685429,0.000007298228,0.000002329835,0.00002236709,0.000002220356,0.00004764844],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7949306,"threshold_uncertainty_score":0.2369438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863440166417389,"score_gpt":0.2817877337199136,"score_spread":0.2631533320557397,"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."}}