{"id":"W4405865884","doi":"10.1016/j.neunet.2024.107099","title":"Simplified PCNet with robustness","year":2024,"lang":"en","type":"article","venue":"Neural Networks","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Robustness (evolution); Computer science; Artificial intelligence; Machine learning","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":[0.0000506058,0.0000879607,0.00006898107,0.00003975971,0.00009456005,0.0002414219,0.000341922,0.00004868939,0.00001576402],"category_scores_gemma":[8.84618e-7,0.00006495092,0.00003418368,0.000527777,0.00002633474,0.000219787,0.00007717304,0.0001776038,0.00001073537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001309676,"about_ca_system_score_gemma":0.00001136454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005999108,"about_ca_topic_score_gemma":0.00000449603,"domain_scores_codex":[0.9993513,0.00001325039,0.00009305542,0.0002797818,0.00009033501,0.0001722486],"domain_scores_gemma":[0.9995483,0.0000399886,0.00001793435,0.0003168606,0.00002245536,0.00005450694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008389745,0.00002998491,0.00009295189,0.00001790991,0.00002187231,0.00006871861,0.00005118927,0.2929247,0.0001137477,0.1567142,0.02156221,0.528394],"study_design_scores_gemma":[0.00003089151,0.00005369519,0.0001597362,0.00001050788,0.000003358304,0.00005389988,0.000001798479,0.9844147,0.0001549682,0.0004252992,0.01459467,0.00009648817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004130353,0.0002050272,0.9916753,0.001174734,0.0001708509,0.0001192624,5.068258e-7,0.001162551,0.001361412],"genre_scores_gemma":[0.9897529,0.0000165691,0.009174593,0.0003195144,0.0001739619,0.00005729616,0.000002067294,0.00001054046,0.0004925626],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9856225,"threshold_uncertainty_score":0.2648621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053770745339577,"score_gpt":0.2334969131562819,"score_spread":0.2229592057028862,"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."}}