{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002495723,0.0009213959,0.001238045,0.0009114654,0.0003802523,0.001258286,0.00133507,0.001084712,0.0009196409],"category_scores_gemma":[0.008674148,0.000518174,0.000743327,0.0006172945,0.001413327,0.00149109,0.001008644,0.001870751,0.0001314855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001754701,"about_ca_system_score_gemma":0.001425086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01506399,"about_ca_topic_score_gemma":0.008927461,"domain_scores_codex":[0.9987537,0.0005783002,0.00005935086,0.0002570951,0.0002316758,0.0001199425],"domain_scores_gemma":[0.9935753,0.005045719,0.0005715076,0.0002005695,0.0004716833,0.0001352659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002676407,0.0000296784,0.0007981026,0.0000151472,0.00003251398,0.00002197326,0.00002998394,0.9800878,0.0002034493,0.005867801,0.0001254851,0.01276127],"study_design_scores_gemma":[0.000001722464,0.000005093048,0.00003609175,0.000001027522,0.000001463742,0.000002117366,0.000001505575,0.997564,0.00004784547,0.002311857,0.00002555379,0.000001787091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02549413,0.0001492772,0.973061,0.0002029615,0.00002127563,0.00002417792,0.00002959082,0.0003046651,0.0007129243],"genre_scores_gemma":[0.925406,0.0001347069,0.07304143,0.00006695162,0.00003735556,0.00009723655,0.00007752034,0.00003610818,0.001102626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01506399,"threshold_uncertainty_score":0.02995265,"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."}}