{"id":"W2691602913","doi":"10.1115/1.4037123","title":"Reliability Optimization Allocation Method for Multifunction Systems With Multistate Units Based on Goal-Oriented Methodology","year":2017,"lang":"en","type":"article","venue":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Ministry of Education of the People's Republic of China; Ministry of Industry and Information Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Reliability (semiconductor); Optimal allocation; Reliability engineering; Computer science; Process (computing); Mathematical optimization; Optimization problem; Power (physics); Engineering; Mathematics; Algorithm","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":[0.003297607,0.0003886902,0.0007698741,0.0003479743,0.0001476057,0.0001450775,0.0002322518,0.0002889771,0.000001294338],"category_scores_gemma":[0.00365785,0.0003343509,0.00009815924,0.0002601494,0.00002650488,0.0004121988,0.00002191256,0.000563025,3.811928e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003563232,"about_ca_system_score_gemma":0.00005209628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002101307,"about_ca_topic_score_gemma":0.00001758547,"domain_scores_codex":[0.9977231,0.0001776258,0.001008036,0.0003454149,0.0003131596,0.0004326757],"domain_scores_gemma":[0.9969978,0.001281528,0.0004600068,0.0004944461,0.0005715673,0.0001946079],"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":[0.0002549321,0.00003653609,0.00006587729,0.0006566365,0.00006799318,0.000006148792,0.0001045604,0.9959903,0.0008059048,0.001115336,0.00001788783,0.0008778824],"study_design_scores_gemma":[0.002171754,0.0003644932,0.000280694,0.001093023,0.00009761437,0.00003615744,0.0001128576,0.9941316,0.0003010678,0.000009384586,0.001053394,0.0003479858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01600201,0.0002112518,0.98037,0.0000369639,0.002465101,0.000731879,0.00003650782,0.0001387303,0.000007603981],"genre_scores_gemma":[0.842898,0.0003217514,0.1562989,0.000004273106,0.0002350599,0.0001267318,0.00002561239,0.00008105225,0.000008705623],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.826896,"threshold_uncertainty_score":0.9999108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657897997420319,"score_gpt":0.2516002759133315,"score_spread":0.2350212959391283,"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."}}