{"id":"W2015589096","doi":"10.1002/prs.11609","title":"Dynamic risk assessment and fault detection using a multivariate technique","year":2013,"lang":"en","type":"article","venue":"Process Safety Progress","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fault detection and isolation; Context (archaeology); Process (computing); Kalman filter; Residual; Multivariate statistics; Fault (geology); Reliability engineering; Computer science; Engineering; Multivariable calculus; Risk analysis (engineering); Data mining; Artificial intelligence; Machine learning; Algorithm; Control engineering; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002031068,0.0002091183,0.0002212052,0.0001074646,0.0001854562,0.0001276291,0.00009555529,0.0001402604,0.00001828624],"category_scores_gemma":[0.00001226886,0.0001925654,0.0000423287,0.0002208054,0.00004485027,0.0003590934,0.00002409104,0.0002805737,0.00001222527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001591963,"about_ca_system_score_gemma":0.00001709056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001330733,"about_ca_topic_score_gemma":0.00002471843,"domain_scores_codex":[0.9989514,0.00004805464,0.0002985667,0.0002512164,0.0001709905,0.000279746],"domain_scores_gemma":[0.999526,0.00002025171,0.00008609744,0.0001608202,0.0001118817,0.00009491517],"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":[0.0001183422,0.0001833374,0.02371642,0.002217764,0.0004402963,0.000008327456,0.001081123,0.07266849,0.1649923,0.00004953714,0.00001001721,0.734514],"study_design_scores_gemma":[0.0005213225,0.0000404101,0.0124934,0.00007813258,0.00002667438,0.00004769117,0.0001557467,0.982526,0.003337613,0.0002490405,0.0002701654,0.0002538011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6664759,0.0008942249,0.3277912,0.00006357545,0.00043211,0.002327182,0.00001404712,0.001427896,0.0005738693],"genre_scores_gemma":[0.9937906,0.00003471843,0.005091002,0.000008459399,0.00003443677,0.0009784432,0.000002223812,0.00004723636,0.00001293779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9098575,"threshold_uncertainty_score":0.7852589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005946731101251014,"score_gpt":0.2692157046531937,"score_spread":0.2632689735519427,"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."}}