{"id":"W4402327894","doi":"10.1016/j.conengprac.2024.106069","title":"Cyclic mining of alarm and operator action events for enhanced process operation","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"ALARM; Operator (biology); Process (computing); Action (physics); Computer science; Engineering; Electrical engineering; Chemistry; Physics; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001214681,0.0004861111,0.0003484815,0.002561331,0.0004495076,0.0007872169,0.0007879734,0.0003381207,0.001743387],"category_scores_gemma":[0.007233541,0.0002110494,0.0003627979,0.001772259,0.0003658429,0.0008035474,0.0006449994,0.0006290196,0.0003656682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005106184,"about_ca_system_score_gemma":0.001800767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003456745,"about_ca_topic_score_gemma":0.006439942,"domain_scores_codex":[0.9990916,0.0001536624,0.00007254403,0.0001846573,0.0004286469,0.00006886802],"domain_scores_gemma":[0.994153,0.002449863,0.001122884,0.0007720191,0.001310865,0.000191446],"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":[0.00181685,0.0006859242,0.08490134,0.0006166689,0.0001774016,0.0008496204,0.0008201479,0.07905584,0.04998857,0.01197766,0.008431458,0.7606786],"study_design_scores_gemma":[0.00005723953,0.0007364905,0.06986465,0.0001726495,0.0001695513,0.0008416462,0.0005052577,0.852882,0.04342511,0.0181773,0.01308345,0.00008460268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4135821,0.000753307,0.5693676,0.0008040514,0.000220566,0.0003838103,0.002063678,0.003410633,0.009414337],"genre_scores_gemma":[0.911271,0.0001769377,0.08621394,0.00006442323,0.00006813332,0.0000738573,0.001144766,0.0001026841,0.0008842698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003456745,"threshold_uncertainty_score":0.00687325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008347111498773225,"score_gpt":0.2740988045598131,"score_spread":0.2657516930610399,"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."}}