{"id":"W4411300841","doi":"10.1016/j.engappai.2025.111164","title":"Dynamical multiple polynomial-based neural networks classifier realized with the aid of dropfilter and dual statistical selection","year":2025,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Natural Science Foundation of China","keywords":"Computer science; Artificial neural network; Classifier (UML); Dual (grammatical number); Artificial intelligence; Selection (genetic algorithm); Machine learning; Pattern recognition (psychology)","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":[0.0001333876,0.0001150315,0.0001509617,0.00008481518,0.0001126631,0.00004694896,0.0003167339,0.00005201858,0.00000252071],"category_scores_gemma":[0.00002413444,0.0000882607,0.00003126488,0.0007566039,0.0001663929,0.00006663173,0.00006804912,0.0001752995,6.764627e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001720653,"about_ca_system_score_gemma":0.00003368835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004752677,"about_ca_topic_score_gemma":0.00004700087,"domain_scores_codex":[0.9991184,0.00002484489,0.0003130666,0.0002615539,0.0001163043,0.0001658428],"domain_scores_gemma":[0.9988729,0.0005424236,0.00008824845,0.0003513974,0.00009948584,0.00004549827],"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":[0.0000369079,0.00009155524,0.0003080746,0.00002427308,0.00002142553,2.844023e-7,0.00003525391,0.662779,0.0049233,0.2693176,0.000169489,0.06229291],"study_design_scores_gemma":[0.00003940588,0.00004054741,0.0009049987,0.00001371542,0.00001418952,0.000001943396,0.00001221038,0.9903805,0.007478125,0.0004972395,0.000534782,0.00008229526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01421081,0.00004436671,0.9841799,0.001079268,0.00003713381,0.0003508909,0.000005999805,0.00006500353,0.00002660405],"genre_scores_gemma":[0.9567608,0.000004580146,0.04294886,0.00004191435,0.00003570646,0.0001806087,0.000005774859,0.00000717225,0.00001460368],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9425499,"threshold_uncertainty_score":0.3599167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014668830878946,"score_gpt":0.2463917159624226,"score_spread":0.2362450276536331,"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."}}