{"id":"W1983522917","doi":"10.1016/j.jprocont.2012.12.013","title":"Study of generalized delay-timers in alarm configuration","year":2013,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"ALARM; Timer; Computer science; Constant false alarm rate; Markov process; Process (computing); False alarm; Real-time computing; Sensitivity (control systems); Markov chain; Algorithm; Embedded system; Mathematics; Engineering; Artificial intelligence; Electronic engineering; Statistics; Machine learning","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":[0.00225675,0.0007875762,0.000838332,0.0009589481,0.0004884183,0.001267893,0.001657474,0.0008145262,0.002816237],"category_scores_gemma":[0.01675713,0.0004247781,0.0006956841,0.0006457311,0.00108739,0.001520968,0.0005628373,0.001105657,0.0001103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009421209,"about_ca_system_score_gemma":0.000984038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001926511,"about_ca_topic_score_gemma":0.001103017,"domain_scores_codex":[0.9991828,0.000375864,0.00003095199,0.0001427931,0.0001462417,0.0001213209],"domain_scores_gemma":[0.9906371,0.007206618,0.000757697,0.0003631196,0.0006878905,0.0003475445],"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":[0.0004984025,0.0001175598,0.002857512,0.0002808614,0.0001310682,0.0007536879,0.0003271133,0.6124114,0.009683569,0.3485108,0.0009609127,0.02346714],"study_design_scores_gemma":[0.00001681249,0.00005025873,0.0004444694,0.00001411703,0.00003806201,0.0000899299,0.00003390074,0.9833598,0.0005620335,0.01520748,0.0001720625,0.00001105104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2943874,0.001117407,0.6952711,0.0004003159,0.0001737931,0.00006850678,0.00006263424,0.0003054811,0.008213392],"genre_scores_gemma":[0.9864042,0.0001996279,0.01199811,0.00002486956,0.00003768822,0.00001885497,0.00002133478,0.00004237723,0.001252855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002816237,"threshold_uncertainty_score":0.011935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007611375308445073,"score_gpt":0.2343843066143929,"score_spread":0.2267729313059478,"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."}}