{"id":"W2783663176","doi":"10.1002/qre.2255","title":"A new reliability analysis method for repairable systems with closed‐loop feedback links","year":2018,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Ministry of Industry and Information Technology of the People's Republic of China; National Natural Science Foundation of China; Shanghai Nuclear Engineering Research and Design Institute","keywords":"Fault tree analysis; Reliability (semiconductor); Reliability block diagram; Reliability engineering; Computer science; Monte Carlo method; Process (computing); Function (biology); Power (physics); Engineering; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001570737,0.0003525962,0.0005452183,0.0002404562,0.00007817811,0.0001304371,0.0003419174,0.0003479974,0.00006852474],"category_scores_gemma":[0.0004278787,0.0003312364,0.0002076441,0.0004976337,0.00006305204,0.0002418525,0.00006741571,0.0004599267,0.00001492502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002539319,"about_ca_system_score_gemma":0.00003924419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002792291,"about_ca_topic_score_gemma":0.0000233959,"domain_scores_codex":[0.9979217,0.00005823774,0.0006674866,0.0005793183,0.0003632889,0.0004099447],"domain_scores_gemma":[0.9982088,0.0004842818,0.00008120041,0.0006777424,0.0003123205,0.0002356192],"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":[0.00009736501,0.00004094688,0.001004075,0.0003917144,0.0007203213,0.000001087963,0.0002540168,0.9918675,0.0008776492,0.002812161,0.0007910844,0.001142056],"study_design_scores_gemma":[0.0005985803,0.0001170243,0.01943736,0.00005744725,0.0001985307,0.000009628912,0.00003104156,0.9462922,0.0005030958,0.0002139423,0.03209588,0.0004453409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1152622,0.0001011672,0.8805577,0.0004204747,0.001130505,0.0004423125,0.00007640648,0.001022293,0.0009869843],"genre_scores_gemma":[0.7003438,0.00003207715,0.2977156,0.00006060899,0.0008005722,0.00007573709,0.00006607689,0.0001059093,0.0007995536],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5850816,"threshold_uncertainty_score":0.999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346783784574278,"score_gpt":0.2747608880247863,"score_spread":0.2612930501790435,"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."}}