{"id":"W2151247988","doi":"10.1002/prs.10421","title":"Risk‐based fault diagnosis and safety management for process systems","year":2010,"lang":"en","type":"article","venue":"Process Safety Progress","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Reliability engineering; Univariate; Engineering; Control chart; Fault (geology); Fault detection and isolation; Process (computing); Data mining; Multivariate statistics; Computer science; Machine learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004656707,0.0003402811,0.0003994406,0.0001369864,0.0003080556,0.0001772404,0.0002800661,0.0001951232,0.00001778377],"category_scores_gemma":[0.00004636544,0.0003111332,0.00008814464,0.0002897549,0.00008549973,0.0002151715,0.00002135188,0.0003189307,0.00001229716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004310708,"about_ca_system_score_gemma":0.00002055452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009500899,"about_ca_topic_score_gemma":0.00003031806,"domain_scores_codex":[0.9981984,0.00003229703,0.0005132838,0.0004493268,0.000320848,0.0004857845],"domain_scores_gemma":[0.9990715,0.0001081588,0.0001331814,0.0003132117,0.0001853604,0.0001885369],"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":[0.002152172,0.0007107934,0.1270422,0.04514855,0.001338081,0.00002957704,0.001976218,0.1562536,0.0002477635,0.003397001,0.001327572,0.6603764],"study_design_scores_gemma":[0.004152282,0.0001172136,0.00421613,0.0003759761,0.0001904113,0.00002332183,0.0007169443,0.8775808,0.001498465,0.00021107,0.1100639,0.0008535638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8246909,0.01777008,0.09205754,0.001856912,0.0121945,0.02694935,0.001336026,0.008829988,0.01431464],"genre_scores_gemma":[0.9928554,0.0001327418,0.0005077871,0.00003358938,0.0002358384,0.006055978,0.00002365913,0.00008546581,0.00006957322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7213271,"threshold_uncertainty_score":0.9999341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006510146032967075,"score_gpt":0.2460829764666074,"score_spread":0.2395728304336403,"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."}}