{"id":"W4415230414","doi":"10.1609/aies.v8i1.36596","title":"Incident Analysis for AI Agents","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Documentation; Incident report; Incident management; Private information retrieval; Information system; Incident response","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":[0.01236267,0.001635988,0.0007687902,0.01036351,0.004144936,0.009076971,0.00310347,0.001998201,0.01444025],"category_scores_gemma":[0.05251234,0.0008835235,0.002219128,0.004753632,0.002778897,0.008581176,0.006117273,0.003766489,0.003832373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005562278,"about_ca_system_score_gemma":0.007424348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01119983,"about_ca_topic_score_gemma":0.01042,"domain_scores_codex":[0.9887271,0.00543665,0.001329524,0.001225981,0.002722689,0.0005580886],"domain_scores_gemma":[0.9567146,0.02142792,0.00466224,0.005197511,0.01051529,0.00148233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001499074,0.0003291811,0.01580154,0.001248972,0.000167063,0.000679971,0.006475958,0.02338308,0.001355845,0.4883523,0.08827811,0.3737782],"study_design_scores_gemma":[0.00004812364,0.0001138252,0.005510783,0.001274437,0.0001055379,0.0007580069,0.010908,0.2135418,0.002215765,0.4755229,0.2898438,0.0001569537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007701013,0.001561318,0.9281576,0.01065735,0.0006082003,0.001500607,0.002225701,0.005441982,0.04214609],"genre_scores_gemma":[0.09789368,0.001382739,0.8844118,0.0008089028,0.0003321987,0.001019812,0.004006281,0.0004542016,0.009690439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01444025,"threshold_uncertainty_score":0.06538087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06055215157506705,"score_gpt":0.3572805285963317,"score_spread":0.2967283770212647,"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."}}