{"id":"W4409013456","doi":"10.1007/978-3-031-85628-0_1","title":"High-Precision Method to Reduce Overfitting in ANNs Using Highly Uniform Chaotic Sequences","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Overfitting; Chaotic; Computer science; Pattern recognition (psychology); Artificial intelligence; Biological system; Algorithm; Artificial neural network; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001666073,0.0002497585,0.0003265649,0.001557843,0.0005449953,0.0007002779,0.003940306,0.0001306592,0.000004939082],"category_scores_gemma":[0.00004963776,0.0002496019,0.00004305735,0.001670515,0.0002802007,0.00475344,0.003467674,0.0004929384,0.00002793046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002899642,"about_ca_system_score_gemma":0.0004015175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001351881,"about_ca_topic_score_gemma":0.00002696948,"domain_scores_codex":[0.9978326,0.00005720191,0.0009191183,0.000445752,0.0004267465,0.0003185917],"domain_scores_gemma":[0.996736,0.0004699033,0.0003385191,0.002011033,0.0003203308,0.0001241439],"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":[0.000001371858,0.000009783284,0.000007272026,0.00001371451,0.000001899422,3.396476e-7,0.0004570406,0.01529205,0.00002445277,0.5444052,0.0001316149,0.4396552],"study_design_scores_gemma":[0.0001803432,0.00003364273,0.0003665233,0.0006214468,0.00000438383,0.00001362669,0.00001354742,0.9321051,0.00006277545,0.01767852,0.04860191,0.0003182087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003583252,0.0001764427,0.9443142,0.002884199,0.0003312126,0.0007473536,0.00001490892,0.00009276772,0.05108057],"genre_scores_gemma":[0.0237095,0.0005526491,0.9731019,0.001310238,0.00004557634,0.00003949408,0.0000219806,0.000007394302,0.001211307],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.916813,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05721733729900588,"score_gpt":0.3505669163520905,"score_spread":0.2933495790530847,"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."}}