{"id":"W2097395080","doi":"10.1109/pacrim.2009.5291377","title":"Pairwise optimization of modulation constellations","year":2009,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Algorithm; Pairwise error probability; Binary number; Constellation diagram; Pairwise comparison; Additive white Gaussian noise; Modulation (music); Channel (broadcasting); Quadrature amplitude modulation; Computer science; Constellation; Signal-to-noise ratio (imaging); Gaussian; Mathematics; Statistics; Topology (electrical circuits); Theoretical computer science; Bit error rate; Telecommunications; Combinatorics; Physics; Arithmetic; MIMO; Acoustics","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":[0.0001324472,0.00003913621,0.00005468176,0.00009228074,0.0000270358,0.00003021229,0.0001414113,0.00003087279,0.00002826231],"category_scores_gemma":[0.00001685613,0.00003732804,0.00002221201,0.0002545109,0.00001116082,0.0004065987,0.00001444937,0.00002478152,0.000003540251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008229632,"about_ca_system_score_gemma":0.00002382942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002744465,"about_ca_topic_score_gemma":5.325732e-7,"domain_scores_codex":[0.9995601,0.00003229272,0.0001528421,0.00009817744,0.0001074246,0.0000491802],"domain_scores_gemma":[0.9995755,0.00002513353,0.00006536974,0.0002147397,0.00009943927,0.00001980292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.970518e-7,0.00003631476,0.000109575,8.22444e-7,0.000001423056,1.042982e-7,0.000244512,0.3190679,0.0006898622,0.6568753,0.0004326765,0.02254071],"study_design_scores_gemma":[0.00006889799,0.00004458811,0.001613317,0.000003056223,8.591711e-7,0.000001087474,0.000004896829,0.9794698,0.006759438,0.01185802,0.0001289786,0.00004705904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00123153,0.000005614106,0.9585958,0.001273688,0.00001703828,0.00009339269,2.216641e-7,0.0002817382,0.03850097],"genre_scores_gemma":[0.6214409,0.000002732162,0.3782145,0.0002462583,0.000003495516,6.38596e-7,0.000002115667,8.632309e-7,0.00008841125],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6604019,"threshold_uncertainty_score":0.1522193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558244061366881,"score_gpt":0.2572242196604205,"score_spread":0.2416417790467517,"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."}}