{"id":"W3198151439","doi":"10.18280/mmep.080410","title":"Optimized Polynomial Classiﬁer for Classiﬁcation of M-PSK Signals","year":2021,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rician fading; Additive white Gaussian noise; Genetic algorithm; Algorithm; Polynomial; Dimension (graph theory); Mathematics; Pattern recognition (psychology); Rayleigh fading; Computer science; White noise; Fading; Artificial intelligence; Mathematical optimization; Statistics; Combinatorics; Decoding methods","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002929428,0.0001235719,0.0002448181,0.00007454597,0.0000464307,0.00008431881,0.0001558303,0.00008873847,0.000004883249],"category_scores_gemma":[0.00006432202,0.0001198654,0.00006672007,0.0001715376,0.00002013048,0.0001917627,0.00004729654,0.00007871164,0.000002886738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002912567,"about_ca_system_score_gemma":0.00005503077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001004326,"about_ca_topic_score_gemma":5.357176e-8,"domain_scores_codex":[0.9989506,0.00001869125,0.0004037519,0.0002777428,0.000168126,0.0001810865],"domain_scores_gemma":[0.9990925,0.0003289696,0.00009603112,0.0002673702,0.0001394445,0.00007574518],"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":[0.000003287015,0.00004791152,0.000002029615,0.0003102469,0.00001581562,2.259643e-7,0.0003339287,0.901167,0.01457243,0.08240478,0.00001304332,0.001129257],"study_design_scores_gemma":[0.0003308667,0.00002309646,0.000007165804,0.0001322534,0.00001216726,0.000005427403,0.000008131873,0.9691807,0.01068403,0.01933848,0.000150193,0.0001274647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006209389,0.0001322515,0.9925634,0.0005525392,0.00007511873,0.000205833,0.000002513867,0.0001131208,0.0001457792],"genre_scores_gemma":[0.5464081,0.00000890182,0.4534112,0.000009248874,0.00002620309,0.00004998741,0.000004487129,0.00001149596,0.00007040308],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5401987,"threshold_uncertainty_score":0.4887971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04100988013647407,"score_gpt":0.2332144357146557,"score_spread":0.1922045555781816,"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."}}