{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008016174,0.00005291033,0.0001075805,0.00008078368,0.0001065324,0.00005952542,0.0001210755,0.00005471593,0.0000971212],"category_scores_gemma":[0.0003196333,0.00003681123,0.00002274435,0.0002243099,0.00006973769,0.0002558848,0.00001513292,0.00008580944,0.00006564907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007494567,"about_ca_system_score_gemma":0.00006085859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001128123,"about_ca_topic_score_gemma":0.0001142546,"domain_scores_codex":[0.9991243,0.00009369711,0.0002125722,0.0001108716,0.0002281523,0.0002304068],"domain_scores_gemma":[0.999105,0.0001360654,0.00000513212,0.000243925,0.0004609605,0.00004893325],"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":[0.000005254962,0.00001272745,0.000186766,0.00003487778,0.00001053539,4.38257e-7,0.00004620223,0.9545606,0.03867494,0.005292845,0.0004506145,0.0007241403],"study_design_scores_gemma":[0.000334776,0.00003446521,0.0001402458,0.00008224588,0.000002581774,7.793366e-7,0.00008490798,0.9914584,0.005241131,0.00003081159,0.002531235,0.00005838793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06098608,0.0003342108,0.932763,0.0007254868,0.0002278131,0.0005792243,0.00003084195,0.00009702646,0.00425636],"genre_scores_gemma":[0.9962468,0.0002346284,0.001602248,0.000002700247,0.00005324771,0.0001033459,0.000004079959,0.00001336621,0.001739551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9352608,"threshold_uncertainty_score":0.1501119,"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."}}