{"id":"W2367690866","doi":"10.1287/opre.2016.1495","title":"Robust Control of Partially Observable Failing Systems","year":2016,"lang":"en","type":"article","venue":"Operations Research","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Bellman equation; Computer science; Mathematical optimization; Convexity; Bayesian probability; Dynamic programming; Robust optimization; Optimal decision; Mathematics; Economics; Artificial intelligence; Decision tree","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003026289,0.001573296,0.0013819,0.0006365466,0.0004107197,0.001940707,0.001692377,0.001439096,0.001881838],"category_scores_gemma":[0.01074265,0.0005352686,0.0007777113,0.0005095816,0.002032103,0.001287847,0.001702287,0.00171272,0.0002212761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735074,"about_ca_system_score_gemma":0.001261341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006246567,"about_ca_topic_score_gemma":0.002503354,"domain_scores_codex":[0.9979178,0.0007516829,0.00008533786,0.0004874274,0.000437255,0.0003204911],"domain_scores_gemma":[0.9944082,0.003534952,0.001136366,0.0002996619,0.0004626374,0.0001581636],"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":[0.00007571239,0.00002160393,0.0002568217,0.00006632419,0.00003662246,0.00007939072,0.00006175978,0.9530323,0.00169085,0.03811163,0.0003413103,0.006225785],"study_design_scores_gemma":[0.00001066794,0.00003710716,0.0001075503,0.000006593611,0.000006450884,0.000008839524,0.000006681776,0.9878113,0.0003125,0.01148597,0.0002002789,0.000006111175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03134048,0.000287363,0.962486,0.0006201015,0.00005022615,0.00004451276,0.0001220214,0.0003471854,0.004702193],"genre_scores_gemma":[0.9815537,0.0001880537,0.01608242,0.00006473704,0.00003513448,0.00007878764,0.0000700814,0.00003245558,0.00189472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006246567,"threshold_uncertainty_score":0.01600474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08018216973207601,"score_gpt":0.2922720338747283,"score_spread":0.2120898641426523,"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."}}