{"id":"W4409187585","doi":"10.1002/9781394294404.ch11","title":"Anomaly Detection and Evaluation Metrics","year":2025,"lang":"en","type":"other","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of British Columbia","funders":"","keywords":"Anomaly detection; Anomaly (physics); Computer science; Data mining; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01058626,0.002533418,0.0021097,0.01094358,0.001000318,0.0035514,0.002077778,0.001570981,0.005941627],"category_scores_gemma":[0.06008482,0.0002802291,0.001279408,0.00739315,0.0008416654,0.003591254,0.001772573,0.00149399,0.003384801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002186509,"about_ca_system_score_gemma":0.001651112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003149525,"about_ca_topic_score_gemma":0.002762814,"domain_scores_codex":[0.9691989,0.00654741,0.003219206,0.002497629,0.01738841,0.001148417],"domain_scores_gemma":[0.9611098,0.01759422,0.003299683,0.004006107,0.01281371,0.001176487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001413459,0.0009877784,0.04561212,0.002389439,0.0006600109,0.0002720822,0.0002878647,0.06719509,0.006471717,0.0151978,0.08568074,0.7738319],"study_design_scores_gemma":[0.0002038475,0.0031139,0.04846432,0.0009806717,0.0006217368,0.003050158,0.001217537,0.7080291,0.03691963,0.04019601,0.1568263,0.0003767778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2526265,0.02955465,0.5450273,0.003321531,0.003208511,0.005408843,0.06078844,0.02786029,0.07220406],"genre_scores_gemma":[0.6367956,0.005695134,0.26136,0.0007140221,0.0007454147,0.003222073,0.07398573,0.00227598,0.0152059],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01094358,"threshold_uncertainty_score":0.05598617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606209573670793,"score_gpt":0.2836464835668138,"score_spread":0.2675843878301059,"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."}}