{"id":"W7132928632","doi":"","title":"Modeling, estimation, and control of partially observable failing systems using phase method","year":2016,"lang":"","type":"dissertation","venue":"TSpace","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Reliability (semiconductor); Bayesian probability; Process (computing); Posterior probability; Observable; Condition-based maintenance; Autoregressive model; State (computer science); Control theory (sociology); Partially observable Markov decision process","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001425538,0.0008803361,0.001226221,0.0007298795,0.0004118251,0.001025841,0.001313397,0.0008948083,0.001202798],"category_scores_gemma":[0.003359978,0.0008614578,0.001051305,0.0005740216,0.0007426466,0.000921363,0.0007852079,0.001139259,0.0001761836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006961206,"about_ca_system_score_gemma":0.001160171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01770659,"about_ca_topic_score_gemma":0.00893877,"domain_scores_codex":[0.9993404,0.0002012579,0.00003495724,0.0001665607,0.000174546,0.00008236317],"domain_scores_gemma":[0.9983649,0.001040556,0.0003071908,0.00005100743,0.0002045312,0.00003178828],"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":[0.00002417413,0.00001472406,0.000439011,0.00004273411,0.00002097087,0.00002476282,0.00002565408,0.9872574,0.0007743792,0.003536091,0.00008161196,0.007758461],"study_design_scores_gemma":[0.000002308253,0.000008789256,0.00007775647,0.000001814051,0.000002808465,0.000002815386,0.000001365642,0.9991094,0.00008401669,0.00064834,0.00005796668,0.00000257988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01527076,0.00022894,0.9834878,0.00007221623,0.00001895052,0.00003578831,0.00005331751,0.0001607188,0.0006715072],"genre_scores_gemma":[0.901795,0.0007205986,0.09392676,0.00004069385,0.00005665299,0.0002425166,0.0002138192,0.00007179238,0.00293224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01770659,"threshold_uncertainty_score":0.03520709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870722736088143,"score_gpt":0.347145103264047,"score_spread":0.3184378759031656,"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."}}