{"id":"W4408899104","doi":"10.1109/ppic50668.2023.10925696","title":"Improved Asset, Process and Safety Performance with Machine Learning and Data Analytics","year":2023,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emmanuel Bible College","funders":"","keywords":"Computer science; Process (computing); Asset (computer security); Analytics; Data science; Computer security; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001902809,0.001196998,0.0007818718,0.001365647,0.0004707291,0.003739701,0.001196153,0.001243784,0.01023829],"category_scores_gemma":[0.005879876,0.0002332973,0.0006019934,0.002032707,0.0007219607,0.005287292,0.00167633,0.001746544,0.00541581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009511636,"about_ca_system_score_gemma":0.001419936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001600106,"about_ca_topic_score_gemma":0.001731414,"domain_scores_codex":[0.9987426,0.0001630374,0.00005459676,0.0001884842,0.0007581474,0.00009298815],"domain_scores_gemma":[0.9973409,0.0008826083,0.0002632662,0.0004379828,0.0009226863,0.00015264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003487185,0.0004661983,0.009992048,0.0006799007,0.0001460258,0.0001469698,0.000129584,0.05543195,0.02324088,0.02670805,0.03193143,0.8507782],"study_design_scores_gemma":[0.0001093128,0.001045231,0.01429716,0.0007517947,0.0001678976,0.0006431023,0.0005625712,0.5401058,0.06844378,0.140163,0.2335077,0.0002026762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1355862,0.03665441,0.6756029,0.02943728,0.002177579,0.0002173259,0.003171149,0.01346327,0.1036898],"genre_scores_gemma":[0.7329017,0.01148221,0.2337506,0.001706782,0.001465629,0.00007450269,0.003181035,0.0004830568,0.01495445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01023829,"threshold_uncertainty_score":0.0342505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136137397627928,"score_gpt":0.2383257681510304,"score_spread":0.2269643941747511,"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."}}