{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001306921,0.000143342,0.0003592634,0.0001413842,0.0001380044,0.0004125463,0.000263546,0.0001190388,0.00002793413],"category_scores_gemma":[0.0003770113,0.0001308966,0.00009425612,0.001175712,0.00001954004,0.001010923,0.0001818123,0.0001868468,0.000003227369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008521402,"about_ca_system_score_gemma":0.0001172013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007005825,"about_ca_topic_score_gemma":0.0007175948,"domain_scores_codex":[0.9982361,0.0001840078,0.0005329161,0.0005455824,0.000249112,0.0002522458],"domain_scores_gemma":[0.998987,0.000190308,0.0001092334,0.0004460071,0.0001882128,0.00007929622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005675851,0.0004814549,0.5484055,0.0004323287,0.0004825529,0.00004335468,0.01701013,0.2996581,0.01111641,0.01715474,0.0001707717,0.1049878],"study_design_scores_gemma":[0.0007965125,0.00002378692,0.007234327,0.00001949866,0.00002063613,0.000009885634,0.0002040585,0.9874427,0.003815343,0.0002331341,0.00004837627,0.0001517404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8270946,0.00007230383,0.1708965,0.000531495,0.0001494148,0.0003250963,0.000005695024,0.00008353471,0.0008413548],"genre_scores_gemma":[0.9495028,0.000003329983,0.05023875,0.00006543061,0.00008309481,0.00001598109,0.00001787284,0.000004678894,0.00006809035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6877846,"threshold_uncertainty_score":0.5337809,"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."}}