{"id":"W2734701267","doi":"10.1002/aic.15860","title":"Design and assessment of delay timer alarm systems for nonlinear chemical processes","year":2017,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"ALARM; Manual fire alarm activation; Process (computing); Process state; Fault detection and isolation; Timer; Nonlinear system; Computer science; Chemical process; Benchmark (surveying); Constant false alarm rate; Engineering; Reliability engineering; Real-time computing; Algorithm; Artificial intelligence; Telecommunications","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":[0.002097888,0.0008115461,0.0005165568,0.0004694206,0.0003094799,0.0009737473,0.0007273181,0.0007236376,0.0007166611],"category_scores_gemma":[0.006218127,0.0003147013,0.0003759473,0.0001636515,0.0005813637,0.0004634309,0.0007162843,0.0005509339,0.00008537711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009160282,"about_ca_system_score_gemma":0.0007666547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000939784,"about_ca_topic_score_gemma":0.0005066393,"domain_scores_codex":[0.9991245,0.0003285085,0.00005351498,0.0001585153,0.0002491272,0.00008583994],"domain_scores_gemma":[0.9973245,0.001517702,0.0006140789,0.00008895036,0.0003773103,0.00007741124],"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":[0.0004750486,0.00007376255,0.001479514,0.0002257429,0.00003141501,0.0001077307,0.0001499301,0.9336331,0.02281755,0.006051009,0.0001761427,0.03477909],"study_design_scores_gemma":[0.00002276963,0.0003363961,0.000340837,0.00001052036,0.00002178019,0.00002825925,0.00001417124,0.9915416,0.006299502,0.001110775,0.0002646358,0.000008909025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1049186,0.000351364,0.8927879,0.0001191471,0.00002701533,0.0001133311,0.00002554311,0.0002199021,0.001437165],"genre_scores_gemma":[0.9725606,0.0001149653,0.02684239,0.00001462232,0.000008803801,0.000039358,0.0000133017,0.000008713599,0.0003972202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002097888,"threshold_uncertainty_score":0.01109481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161494414173262,"score_gpt":0.2876765776120856,"score_spread":0.2660616334703531,"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."}}