{"id":"W7077578010","doi":"","title":"RAID: Root cause Anomaly Identification and Diagnosis","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Agence Nationale de la Recherche","keywords":"Identification (biology); Anomaly (physics); Pattern recognition (psychology); Root cause analysis; Root (linguistics)","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":[0.001176888,0.001564694,0.001295337,0.002906308,0.0006271038,0.001881024,0.001732094,0.001529474,0.02694717],"category_scores_gemma":[0.004520213,0.0005097081,0.001111409,0.001014579,0.0003827823,0.001260784,0.002182517,0.001091784,0.01928664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004651055,"about_ca_system_score_gemma":0.001365401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003413699,"about_ca_topic_score_gemma":0.003854963,"domain_scores_codex":[0.9989645,0.0001288922,0.00007949754,0.0002706637,0.00046698,0.00008946583],"domain_scores_gemma":[0.9988186,0.0004418044,0.0001064352,0.0001989738,0.0003212752,0.0001129345],"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":[0.0009579533,0.000145379,0.00847482,0.0006483123,0.00013941,0.001311987,0.0001252785,0.01603786,0.02876477,0.005926226,0.2385015,0.6989664],"study_design_scores_gemma":[0.0004339571,0.0004206074,0.01376512,0.0001764208,0.0001853114,0.003736854,0.0002340202,0.7210742,0.07296696,0.02421921,0.1625853,0.000202065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01317598,0.00139689,0.7051189,0.001270208,0.0005283337,0.0005630134,0.02280828,0.2476259,0.007512446],"genre_scores_gemma":[0.1848089,0.001309991,0.7415805,0.0008611319,0.0006497276,0.0008925674,0.03894927,0.004302754,0.02664501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02694717,"threshold_uncertainty_score":0.09014726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102360868818584,"score_gpt":0.2182649734961069,"score_spread":0.2080288866142485,"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."}}