{"id":"W3211114587","doi":"10.1109/isie45552.2021.9576354","title":"Machine Operating Speed, Fault Security and Fault Tolerance for Performability Analysis in Industrial Automation","year":2021,"lang":"en","type":"article","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cisco Systems (Canada)","funders":"","keywords":"Downtime; Automation; Computer science; Fault tolerance; Reliability engineering; Reliability (semiconductor); Context (archaeology); Software fault tolerance; Fault model; Embedded system; Fault (geology); Fault injection; Distributed computing; Engineering; Operating system; Software","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":[0.00071723,0.0006943392,0.000463347,0.0008491672,0.0002380282,0.0005905829,0.0004669576,0.0004888151,0.001184958],"category_scores_gemma":[0.002707099,0.0002734113,0.0005696136,0.001154232,0.0007321163,0.00111566,0.0003817875,0.0007536178,0.000207491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007139185,"about_ca_system_score_gemma":0.0005288702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416243,"about_ca_topic_score_gemma":0.001101201,"domain_scores_codex":[0.9994831,0.0001494239,0.00002383003,0.00006426848,0.000206105,0.00007318107],"domain_scores_gemma":[0.9986603,0.0008548688,0.0002080162,0.0001754397,0.00007786071,0.00002357588],"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":[0.00003828797,0.00003257342,0.001275722,0.00005253652,0.0000211437,0.00004598777,0.0000283609,0.9394266,0.005615489,0.03517795,0.0001884851,0.01809682],"study_design_scores_gemma":[0.000002885236,0.00005835409,0.0006694618,0.000008294859,0.00000837452,0.00004637447,0.00001018033,0.9764405,0.002376438,0.01974531,0.0006252812,0.00000856184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1333246,0.001587819,0.860381,0.0001749368,0.00004077677,0.00002544395,0.00007206976,0.0002194076,0.004173903],"genre_scores_gemma":[0.9629163,0.0006819998,0.03474669,0.00001966349,0.00003689304,0.00002870779,0.00005029665,0.00007339913,0.001446054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001416243,"threshold_uncertainty_score":0.005179822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302983766359801,"score_gpt":0.2760002665482731,"score_spread":0.2529704288846751,"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."}}