{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001657671,0.001051679,0.0009918602,0.00154176,0.0002512519,0.0007535646,0.0008987641,0.0006620504,0.001316899],"category_scores_gemma":[0.003641264,0.0002309313,0.001019467,0.0005410992,0.0009409739,0.0009382591,0.000729745,0.000673566,0.0001114359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006349231,"about_ca_system_score_gemma":0.0006737126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001651922,"about_ca_topic_score_gemma":0.0009929395,"domain_scores_codex":[0.9994513,0.0002274145,0.00001733412,0.00006705654,0.0001771579,0.00005972015],"domain_scores_gemma":[0.9980507,0.001332591,0.0001794965,0.0001168888,0.0002807403,0.00003952231],"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":[0.0001031395,0.000070854,0.0008383707,0.0003898948,0.00008322861,0.0001190047,0.0001486533,0.8987204,0.01119332,0.06690574,0.0002959255,0.02113142],"study_design_scores_gemma":[0.000004071505,0.0000482239,0.0003097497,0.000009766866,0.00001529815,0.00001321333,0.00001135354,0.9896904,0.0006220798,0.009143968,0.0001270996,0.000004795092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06385869,0.0004727436,0.9320228,0.00007689065,0.00002186753,0.00005300527,0.00006742377,0.0002315568,0.003195022],"genre_scores_gemma":[0.964349,0.0002524319,0.03397709,0.00002634448,0.00002282751,0.0001091415,0.00007744934,0.00005039811,0.001135273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001657671,"threshold_uncertainty_score":0.008766651,"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."}}