{"id":"W1992923086","doi":"10.1002/qre.859","title":"Optimizing the performance of a repairable system under a maintenance and repair contract","year":2007,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reliability engineering; Context (archaeology); Horizon; Computer science; Time horizon; Meaning (existential); Operations research; Risk analysis (engineering); Engineering; Business; Mathematical optimization; Mathematics","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":[0.002248335,0.0007280473,0.001012457,0.0004088694,0.0002854009,0.001148342,0.0008204315,0.001134222,0.001678062],"category_scores_gemma":[0.004611003,0.0002682129,0.0003887517,0.0003788737,0.0007831858,0.001092881,0.0006246105,0.0007050615,0.0001884455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083768,"about_ca_system_score_gemma":0.001035329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003606098,"about_ca_topic_score_gemma":0.001208979,"domain_scores_codex":[0.9990216,0.0004564043,0.00003931284,0.0001459003,0.0001983794,0.0001383713],"domain_scores_gemma":[0.9978622,0.001286394,0.0003687422,0.0001405381,0.0001727339,0.0001694525],"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":[0.0001157638,0.00004000354,0.000355787,0.00004111425,0.00002344183,0.00005575062,0.00002282731,0.9869384,0.00268284,0.004037499,0.000120418,0.005566223],"study_design_scores_gemma":[0.00001321007,0.0001707058,0.0002885048,0.000006380001,0.00001409729,0.00001822902,0.00001269847,0.9957709,0.0009309896,0.002646974,0.0001198388,0.000007452691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5712089,0.0008526174,0.4213635,0.0005215667,0.00004814411,0.00007841062,0.0001569865,0.0002443657,0.005525596],"genre_scores_gemma":[0.9926307,0.00008872707,0.006271277,0.00001151158,0.000007108167,0.00001663384,0.00002990685,0.00001104355,0.0009330158],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003606098,"threshold_uncertainty_score":0.01189047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008801323296122262,"score_gpt":0.227059277264033,"score_spread":0.2182579539679107,"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."}}