{"id":"W4297998800","doi":"10.1287/mnsc.2022.4547","title":"Analytical Solution to a Partially Observable Machine Maintenance Problem with Obvious Failures","year":2022,"lang":"en","type":"article","venue":"Management Science","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Unobservable; Observable; Mathematical optimization; Partially observable Markov decision process; Computer science; Markov decision process; Preventive maintenance; Markov chain; Markov process; Mathematics; Markov model; Reliability engineering; Econometrics; Engineering; Machine learning; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001064598,0.0008107391,0.0009919108,0.0006933077,0.0004537299,0.001064947,0.00110012,0.001606335,0.00533621],"category_scores_gemma":[0.005032149,0.0005842346,0.0006582701,0.0006208476,0.000970749,0.0008854522,0.0008617058,0.0009403456,0.0003011252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633529,"about_ca_system_score_gemma":0.002187652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006925889,"about_ca_topic_score_gemma":0.006717342,"domain_scores_codex":[0.9996386,0.0001337502,0.00001262075,0.00006393452,0.00007170098,0.00007936121],"domain_scores_gemma":[0.9975689,0.001774145,0.0002991184,0.00005354199,0.0002040073,0.0001002928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003624276,0.000027007,0.00031734,0.00008141257,0.00001622894,0.00008960305,0.0000432294,0.9412735,0.0003958006,0.05282211,0.001337954,0.003559484],"study_design_scores_gemma":[0.00001299231,0.00001607919,0.0001423491,0.0000132791,0.000007309186,0.00001354576,0.00001813274,0.9804425,0.00007214231,0.01872754,0.0005291698,0.000004914414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1027272,0.001692666,0.857168,0.002889948,0.0001461023,0.0001368592,0.0008893508,0.0002929915,0.03405689],"genre_scores_gemma":[0.9151886,0.001137177,0.06941959,0.0001413057,0.00008769518,0.0002512637,0.0003332334,0.00006757166,0.01337343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006925889,"threshold_uncertainty_score":0.01785135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007291141728701682,"score_gpt":0.197415681817127,"score_spread":0.1901245400884253,"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."}}