{"id":"W2555143979","doi":"10.1007/s40430-016-0665-9","title":"Quantitative reliability analysis of repairable systems with closed-loop feedback based on GO methodology","year":2016,"lang":"en","type":"article","venue":"Journal of the Brazilian Society of Mechanical Sciences and Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Ministry of Industry and Information Technology of the People's Republic of China","keywords":"Fault tree analysis; Reliability (semiconductor); Markov process; Computer science; Reliability block diagram; Loop (graph theory); Closed loop; Process (computing); Feedback loop; Reliability engineering; Monte Carlo method; For loop; Operator (biology); Control theory (sociology); Engineering; Control engineering; Mathematics; Control (management)","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":[0.002493078,0.0001055258,0.0004240081,0.00007033209,0.00004924238,0.00001216726,0.0002377029,0.00008008798,0.000007790303],"category_scores_gemma":[0.0003830387,0.00005154618,0.00028501,0.0007597659,0.000192021,0.000150072,0.00002285945,0.0001269736,1.187096e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006012465,"about_ca_system_score_gemma":0.00003399238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001482767,"about_ca_topic_score_gemma":0.000002789366,"domain_scores_codex":[0.9988655,0.00007906791,0.000441103,0.0001334378,0.0003165091,0.0001644139],"domain_scores_gemma":[0.9986576,0.000739203,0.0002210393,0.0001740125,0.0001461355,0.00006198404],"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":[0.00003670861,0.00001887632,0.0002904449,0.0001072968,0.0001559615,1.169735e-7,0.00008257291,0.981783,0.01582919,0.001321987,0.00008050193,0.000293322],"study_design_scores_gemma":[0.0003020682,0.0004544582,0.002658996,0.000350547,0.0001754081,0.00000246586,0.0002719665,0.9907189,0.004733685,0.0001799192,0.00006631458,0.00008525601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4582124,0.0001453869,0.5405661,0.0006565056,0.0002369383,0.0001059519,0.000008515345,0.00001832351,0.00004986082],"genre_scores_gemma":[0.9060677,0.0001838682,0.09369119,0.00001755589,0.0000144954,0.000001338446,1.147506e-7,0.000006852157,0.00001684808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4478553,"threshold_uncertainty_score":0.2101992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312259834517242,"score_gpt":0.2493450806468434,"score_spread":0.2262224823016709,"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."}}