{"id":"W2644985284","doi":"10.1002/qre.2180","title":"A new reliability analysis method for repairable systems with multifunction modes based on goal‐oriented methodology","year":2017,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":24,"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","keywords":"Fault tree analysis; Reliability (semiconductor); Computer science; Reliability engineering; Operator (biology); Monte Carlo method; Process (computing); Bitwise operation; Complex system; Function (biology); Engineering; Mathematics; Artificial intelligence","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":[0.001798862,0.0008690199,0.0005862371,0.002155243,0.0004817324,0.000698959,0.001122341,0.000537427,0.0020812],"category_scores_gemma":[0.002279192,0.0003451023,0.001511979,0.0006371973,0.0009154323,0.00143749,0.000776758,0.0009406664,0.0002948972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000843293,"about_ca_system_score_gemma":0.001314477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002288481,"about_ca_topic_score_gemma":0.001451973,"domain_scores_codex":[0.9990892,0.0002590461,0.00005526499,0.0001495323,0.0003681665,0.00007879001],"domain_scores_gemma":[0.9990883,0.0004168767,0.00009884697,0.00007266421,0.0002951557,0.00002824067],"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":[0.00006982233,0.0000917379,0.002107139,0.0004432698,0.0001125571,0.0002561891,0.000526022,0.4950447,0.02349721,0.2994799,0.001645267,0.1767261],"study_design_scores_gemma":[0.00001946871,0.00004984974,0.0002470311,0.0000326863,0.00003149854,0.00007668879,0.0000383068,0.9489186,0.002636248,0.04541385,0.002517132,0.00001862225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002320044,0.0000491675,0.9969415,0.00002054736,0.000005626283,0.0000227113,0.000007046308,0.00008432664,0.0005490398],"genre_scores_gemma":[0.2923566,0.0002963276,0.7045713,0.0000904658,0.00003605027,0.0002758781,0.00008798661,0.0001695065,0.002115732],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002288481,"threshold_uncertainty_score":0.009513438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.056029965069334,"score_gpt":0.3752264359369813,"score_spread":0.3191964708676473,"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."}}