{"id":"W1520774566","doi":"10.1155/2015/274530","title":"A Decision Optimization Model for Leased Manufacturing Equipment with Warranty under Forecasting Production/Maintenance Problem","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Warranty; Lease; Purchasing; Production (economics); Order (exchange); Operations research; Business; Computer science; Operations management; Engineering; Economics; Microeconomics; Finance","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006229399,0.0002739973,0.0003064055,0.0001537919,0.0000441614,0.00006306802,0.00013574,0.0001081342,0.000004187581],"category_scores_gemma":[0.0002283373,0.0002294782,0.00004777803,0.000210194,0.00002714411,0.000420215,0.00003286159,0.0001977174,0.000002494965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003717699,"about_ca_system_score_gemma":0.00003185292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001855832,"about_ca_topic_score_gemma":0.000006168101,"domain_scores_codex":[0.998404,0.000007658672,0.0005156902,0.0003305096,0.0002609571,0.0004812297],"domain_scores_gemma":[0.9993514,0.00009558877,0.00005361246,0.000248156,0.0001241403,0.000127108],"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":[0.00002654572,0.00005041902,0.000004802867,0.0009895625,0.00001513707,8.916041e-7,0.0006324501,0.9966726,0.0000981741,0.0007474018,0.00006664452,0.00069539],"study_design_scores_gemma":[0.0008433057,0.00004938719,0.000001255092,0.001079029,0.00001451974,0.00001764426,0.00006303572,0.9825558,0.0005063764,0.01454405,0.00002437006,0.000301228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006698047,0.00004304479,0.9910086,0.00008237934,0.0001300815,0.001316569,0.000002775341,0.0003781274,0.0003403178],"genre_scores_gemma":[0.4950354,0.00001041044,0.5044141,0.000006798951,0.00002287943,0.0003794902,0.000008749532,0.00006306251,0.00005915815],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4883373,"threshold_uncertainty_score":0.9357849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03263666116965983,"score_gpt":0.2151000775025098,"score_spread":0.1824634163328499,"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."}}