{"id":"W4400967131","doi":"10.1016/j.ress.2024.110366","title":"Optimal replacement policy based on number of failures for a system with multiple attempt minimal repairs","year":2024,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan; National Science and Technology Council","keywords":"Computer science; Reliability engineering; Operations research; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001073528,0.0004272158,0.0006106495,0.0002031223,0.00006783516,0.00005802274,0.0001969029,0.0002046583,0.000007766593],"category_scores_gemma":[0.0002754243,0.0003654028,0.0002740836,0.0005287367,0.0000478534,0.0001630369,0.00002109303,0.0002213737,0.00001506137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502855,"about_ca_system_score_gemma":0.0001446015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001300211,"about_ca_topic_score_gemma":0.000005466404,"domain_scores_codex":[0.9975289,0.00005258733,0.0009029498,0.0006230839,0.0003887195,0.0005037461],"domain_scores_gemma":[0.998095,0.0006331219,0.00007512263,0.0008687607,0.0001858551,0.000142165],"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":[0.0004293256,0.00003713463,0.0005070666,0.01811097,0.00009374301,0.000005175797,0.0001817,0.9752002,0.0002842261,0.00483832,0.0002197865,0.0000923151],"study_design_scores_gemma":[0.000790354,0.0002384653,0.0004159047,0.003190088,0.00005746421,0.00002626054,0.0003006098,0.9892943,0.001093556,9.563896e-7,0.004226913,0.0003651103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07985444,0.0001136703,0.9118037,0.0002406165,0.0009031323,0.002325987,0.0003173162,0.003109293,0.001331886],"genre_scores_gemma":[0.9601467,0.00000637712,0.03900008,0.000004575412,0.0001813311,0.000426573,0.00005359626,0.0001248988,0.00005591658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8802922,"threshold_uncertainty_score":0.9998798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003675263865330713,"score_gpt":0.2046411779715273,"score_spread":0.2009659141061966,"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."}}