{"id":"W4385872572","doi":"10.3850/978-981-18-5183-4_s33-06-643-cd","title":"Data Driven Bayesian Network to Predict Critical Alarm","year":2022,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Canadian Institute of Steel Construction","keywords":"Bayesian network; ALARM; Key (lock); Computer science; Event (particle physics); Operator (biology); Data mining; Bayesian probability; Machine learning; Artificial intelligence; Engineering; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002148689,0.001130671,0.001202157,0.00135832,0.0004380259,0.0009515954,0.001179707,0.001295136,0.002766828],"category_scores_gemma":[0.007690188,0.0006969396,0.0005969182,0.000824967,0.0005158276,0.001307348,0.0006071343,0.001664577,0.0005207359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649489,"about_ca_system_score_gemma":0.001288006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0284721,"about_ca_topic_score_gemma":0.01994111,"domain_scores_codex":[0.9993401,0.0002452327,0.00003921982,0.0001643145,0.0001334879,0.00007761253],"domain_scores_gemma":[0.9953088,0.003601469,0.0003117935,0.00008867287,0.0005777906,0.0001113781],"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":[0.00009475698,0.00002990483,0.001332668,0.00001861333,0.00002032942,0.00002901139,0.00001400731,0.9877565,0.0001750996,0.001389795,0.0004210006,0.008718262],"study_design_scores_gemma":[0.000003125891,0.000005583575,0.0001609076,0.000002193232,0.000002992388,0.000002766393,0.000001853401,0.9986218,0.00006517133,0.001079706,0.00005111894,0.00000284588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1113974,0.0006025532,0.8813486,0.0007415079,0.00008867408,0.0001436152,0.001209257,0.0009106849,0.003557765],"genre_scores_gemma":[0.923046,0.000344386,0.07063267,0.0001505648,0.00006841704,0.0002422846,0.001589121,0.00005581087,0.003870704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0284721,"threshold_uncertainty_score":0.05661273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397504899555209,"score_gpt":0.2456941231682789,"score_spread":0.2317190741727268,"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."}}