{"id":"W2019971886","doi":"10.1109/tr.2014.2337811","title":"Optimal Replacement Last With Continuous and Discrete Policies","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Reliability","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Qatar National Research Fund; Nanjing Tech University; Nanjing University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Mathematical optimization; Discrete time and continuous time; Focus (optics); Unit (ring theory); Operations research; Mathematics; Statistics","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":[0.001805948,0.0008358936,0.001104184,0.0005795065,0.0003115881,0.001380438,0.001500668,0.001125699,0.002498156],"category_scores_gemma":[0.005452917,0.0004862426,0.0006989804,0.0004330073,0.001277375,0.001751629,0.0006671313,0.0009737293,0.0002995606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695518,"about_ca_system_score_gemma":0.001497527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003317715,"about_ca_topic_score_gemma":0.001988513,"domain_scores_codex":[0.9987405,0.0004354425,0.00005566933,0.0002432705,0.0002775229,0.0002475402],"domain_scores_gemma":[0.9979277,0.001053899,0.0004681916,0.0001840298,0.0001661488,0.0001999316],"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":[0.0001487426,0.00008543951,0.0005323995,0.00006771951,0.00001896203,0.00006861369,0.00003573451,0.9354755,0.0009479599,0.05385117,0.0007253629,0.0080425],"study_design_scores_gemma":[0.00003337738,0.0001053667,0.0002895217,0.00001285672,0.00001972769,0.00003796329,0.00002618192,0.97927,0.0004630823,0.01897854,0.0007483944,0.00001505744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2031493,0.002143194,0.7772864,0.001101532,0.0002085057,0.0001071401,0.0003301991,0.0003582782,0.01531537],"genre_scores_gemma":[0.9662235,0.0005397113,0.02758013,0.00008773401,0.00004772468,0.00006287958,0.00007673517,0.00002654751,0.005354954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003317715,"threshold_uncertainty_score":0.01230186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003720249261675196,"score_gpt":0.1921130330245784,"score_spread":0.1883927837629032,"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."}}