{"id":"W2770712475","doi":"10.1080/00949655.2017.1407936","title":"Variance-based importance analysis measure for mission reliability of phased mission system","year":2017,"lang":"en","type":"article","venue":"Journal of Statistical Computation and Simulation","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Component (thermodynamics); Reliability (semiconductor); Variance (accounting); Measure (data warehouse); Monte Carlo method; Variance components; Reliability engineering; Component analysis; Computer science; Function (biology); Econometrics; Data mining; Mathematics; Statistics; Machine learning; Engineering","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":[0.003388886,0.000882036,0.0007081932,0.003042577,0.0004390173,0.0008068133,0.0008484158,0.0008403851,0.001480867],"category_scores_gemma":[0.01738148,0.000245358,0.001056239,0.001521009,0.0008961743,0.001640295,0.0008875512,0.001168553,0.0002341456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000983299,"about_ca_system_score_gemma":0.0006308709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304288,"about_ca_topic_score_gemma":0.001054153,"domain_scores_codex":[0.997784,0.0008330854,0.0001212237,0.0003424804,0.0007964238,0.0001228039],"domain_scores_gemma":[0.9925025,0.005257267,0.0005259502,0.0004671323,0.001124579,0.0001226896],"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":[0.0002310525,0.000145672,0.01420406,0.0002800168,0.0002454693,0.0002259382,0.0002319898,0.7433547,0.0140891,0.09754444,0.002294862,0.1271527],"study_design_scores_gemma":[0.0000105376,0.0000906048,0.003811623,0.00001650762,0.0000400369,0.0001354945,0.00002554977,0.9757165,0.002113802,0.01718925,0.0008124512,0.00003771866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02710439,0.0002964229,0.9710029,0.00009380242,0.00003450341,0.0000531188,0.00005840477,0.0002001571,0.001156246],"genre_scores_gemma":[0.8539804,0.0003914864,0.1435358,0.00008659605,0.0001073856,0.0002508341,0.0003309517,0.00009919362,0.001217337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003388886,"threshold_uncertainty_score":0.01792234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1091840355768636,"score_gpt":0.4055676302277595,"score_spread":0.2963835946508959,"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."}}