{"id":"W4385060436","doi":"10.1007/978-3-031-38333-5_14","title":"A Novel System Architecture for Anomaly Detection for Loan Defaults","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Anomaly detection; Default; Computer science; Loan; Anomaly (physics); Receiver operating characteristic; Data mining; Artificial intelligence; Machine learning; Finance; Business","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":[0.0004386496,0.0004392961,0.0006106408,0.000305903,0.0002928115,0.0002804586,0.0004471951,0.0008439447,3.52501e-7],"category_scores_gemma":[0.00003113655,0.0003934587,0.0002371699,0.0001854421,0.00004460929,0.00006625934,0.000111759,0.0004258607,0.000001973751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385986,"about_ca_system_score_gemma":0.00003799774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001035615,"about_ca_topic_score_gemma":0.0005493395,"domain_scores_codex":[0.9979194,0.00001947374,0.0005951959,0.0008810714,0.0001738185,0.0004110233],"domain_scores_gemma":[0.9980849,0.0006773983,0.0003855839,0.000604969,0.0001490207,0.00009811918],"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":[0.0001352167,0.00003595481,0.00001708732,0.002415531,0.0002323409,0.00001032935,0.0002775575,0.1799427,0.0005692095,0.4672224,0.0005500003,0.3485917],"study_design_scores_gemma":[0.000543865,0.0003158642,0.00001536897,0.0008857478,0.00005137637,0.0001617032,0.000005798274,0.9374446,0.0001103946,0.01339524,0.04643331,0.000636783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00001015916,0.001171544,0.9928848,0.0001344798,0.001015882,0.002946788,0.00007973827,0.0006449241,0.001111674],"genre_scores_gemma":[0.941469,0.0002120069,0.03640584,0.0002070947,0.003375321,0.004658108,0.0001296361,0.0003097184,0.01323333],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.956479,"threshold_uncertainty_score":0.9998517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078109802737443,"score_gpt":0.2376400176824154,"score_spread":0.2168589196550409,"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."}}