{"id":"W3133724915","doi":"10.1002/stc.2720","title":"Anomaly detection using state‐space models and reinforcement learning","year":2021,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Anomaly detection; Interpretability; Reinforcement learning; Computer science; Artificial intelligence; Univariate; Anomaly (physics); Bayesian probability; Machine learning; Data mining; Multivariate statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001459917,0.0001046027,0.0001515802,0.0000515613,0.0006598098,0.000158847,0.0000668626,0.00003492449,7.889161e-7],"category_scores_gemma":[0.000005110246,0.0001014971,0.00002292161,0.0001480781,0.0000192124,0.0003810657,0.00008258805,0.0001730808,2.184313e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007998379,"about_ca_system_score_gemma":0.0000594858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004690197,"about_ca_topic_score_gemma":0.00001489756,"domain_scores_codex":[0.9991319,0.00004189836,0.0002008491,0.0002773908,0.0001122846,0.0002357426],"domain_scores_gemma":[0.9995236,0.00002042214,0.0001141639,0.000136343,0.00007841883,0.000127012],"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":[0.00004229402,0.00001033525,0.02301753,0.0002688468,0.0000795179,0.00001572659,0.002878716,0.1047912,0.04851835,0.02847893,0.00000483369,0.7918938],"study_design_scores_gemma":[0.0004279438,0.000114062,0.0192953,0.00003253093,0.000005423822,0.0000709751,0.0001246406,0.9689406,0.005983591,0.004627674,0.0002189141,0.0001583079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3566856,0.0008971478,0.641524,0.0005078179,0.0001185577,0.0001254367,4.36372e-7,0.0001094363,0.00003157348],"genre_scores_gemma":[0.987061,0.0002552022,0.01241814,0.00007315727,0.0001014119,0.00001344207,4.010232e-7,0.000006227893,0.00007102617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8641495,"threshold_uncertainty_score":0.507479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536080234147399,"score_gpt":0.3139249704615409,"score_spread":0.278564168120067,"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."}}