{"id":"W7084500058","doi":"10.1007/978-3-662-72243-5_25","title":"RAID: Root Cause Anomaly Identification and Diagnosis","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Agence Nationale de la Recherche","keywords":"Testbed; Cloud computing; RAID; Anomaly detection; Inference; Identification (biology); Root cause analysis; Server; Network packet","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":[0.0003379669,0.001047584,0.0006586802,0.001406192,0.0002168023,0.001132053,0.001185388,0.0008196551,0.03204157],"category_scores_gemma":[0.0009438801,0.000351175,0.0005345782,0.0008133166,0.0003584867,0.0008571739,0.001024278,0.001042062,0.03193355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002221665,"about_ca_system_score_gemma":0.0003918264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004286495,"about_ca_topic_score_gemma":0.0007348025,"domain_scores_codex":[0.9997261,0.00002497259,0.00001622687,0.00007194879,0.000143253,0.00001753509],"domain_scores_gemma":[0.9997148,0.0001308731,0.0000164869,0.00003635126,0.00006509356,0.00003646855],"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":[0.00003772868,0.00001526631,0.0002405734,0.0002728791,0.00001196002,0.0003890596,0.00002219338,0.0009548233,0.003464471,0.006353687,0.2085752,0.7796622],"study_design_scores_gemma":[0.00002697841,0.00007988371,0.001303391,0.0002531407,0.00004812,0.01125054,0.00004347039,0.008947896,0.009927676,0.02862171,0.939438,0.00005913315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00417474,0.02782964,0.7694767,0.00372135,0.004904809,0.0003311452,0.006512112,0.035578,0.1474717],"genre_scores_gemma":[0.02770641,0.02312736,0.6275231,0.002469533,0.004484589,0.0003614225,0.01298312,0.003969017,0.2973754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03204157,"threshold_uncertainty_score":0.1071898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114017504844072,"score_gpt":0.238954933783409,"score_spread":0.2278147587349683,"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."}}