{"id":"W4416448090","doi":"10.1515/9783111436548-008","title":"179Injecting uniform chaotic sequences into an ANN’s learning fabric to reduce overfitting","year":2025,"lang":"","type":"book-chapter","venue":"Cybersecurity","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; Pattern recognition (psychology); CHAOS (operating system); Chaotic map","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","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001282624,0.001095178,0.001027253,0.0005509988,0.002679962,0.001136864,0.002737553,0.0006188013,0.000167551],"category_scores_gemma":[0.0002668574,0.001225784,0.0004121178,0.001088692,0.0003175066,0.001214771,0.001935493,0.002632336,0.0002375348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004872788,"about_ca_system_score_gemma":0.0005505096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001314428,"about_ca_topic_score_gemma":0.0004516403,"domain_scores_codex":[0.9936714,0.0001967166,0.001333198,0.002687347,0.0008468431,0.001264504],"domain_scores_gemma":[0.9954315,0.0005285729,0.0009258351,0.001745231,0.0005519744,0.0008168679],"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":[0.00002551841,0.0001250967,0.000172376,0.0002684598,0.0001235187,0.00008864894,0.01117555,0.008577704,0.0005897897,0.6239721,0.0006619865,0.3542193],"study_design_scores_gemma":[0.001169423,0.0020455,0.0007659408,0.007048411,0.0005310092,0.0002701376,0.003882691,0.4720845,0.002060298,0.1612146,0.3417021,0.00722539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1490971,0.004016006,0.1732498,0.01267275,0.0114155,0.008055264,0.0001010624,0.003173535,0.638219],"genre_scores_gemma":[0.957257,0.0003864031,0.01473158,0.001096547,0.001436145,0.00008474166,0.00004566081,0.00008682487,0.02487514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8081598,"threshold_uncertainty_score":0.9999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555173604368858,"score_gpt":0.289481310655392,"score_spread":0.2639295746117034,"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."}}