{"id":"W4206023438","doi":"10.1016/j.knosys.2022.108153","title":"Condition-based optimization of non-identical inspection intervals for a k-out-of-n load sharing system with hybrid mixed redundancy strategy","year":2022,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Downtime; Redundancy (engineering); Interval (graph theory); Computer science; Load sharing; Reliability engineering; Mathematical optimization; Mathematics; 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":[0.001258244,0.0009693788,0.001892663,0.000596118,0.0005187619,0.001388243,0.001284407,0.001201914,0.002597311],"category_scores_gemma":[0.00190227,0.0006583509,0.0006329649,0.0005871895,0.0007557023,0.001032569,0.0008877038,0.0005770719,0.0002152671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158325,"about_ca_system_score_gemma":0.001253763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009255819,"about_ca_topic_score_gemma":0.00759779,"domain_scores_codex":[0.9995054,0.0001265637,0.00002388909,0.0001057223,0.0001201091,0.0001184043],"domain_scores_gemma":[0.9989649,0.0005564434,0.0001832549,0.00004932714,0.0001895536,0.00005643854],"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":[0.0001329152,0.00003615577,0.000142639,0.00004740528,0.00002244638,0.00003921368,0.000029644,0.9893216,0.001635784,0.001406744,0.0002177237,0.006967836],"study_design_scores_gemma":[0.00000923395,0.00003210458,0.00009654877,0.00000263793,0.000007417339,0.000005206446,0.000005196188,0.9992337,0.0001980058,0.0003741157,0.00003270169,0.000003068035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2315636,0.0006190389,0.75684,0.0003549562,0.00007599527,0.0001478596,0.0001739707,0.0004648709,0.009759658],"genre_scores_gemma":[0.9883437,0.00004266241,0.01053461,0.0000226528,0.000008747353,0.00004288297,0.00003196605,0.00001639719,0.0009563143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009255819,"threshold_uncertainty_score":0.01840389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377114010794447,"score_gpt":0.2394726419519847,"score_spread":0.2257015018440402,"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."}}