{"id":"W4403280268","doi":"10.1016/j.ifacol.2024.09.074","title":"Combination Warranty Optimization Model Using Reconditioned Parts Under Age Uncertainty","year":2024,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Warranty; Reliability engineering; Computer science; Econometrics; Engineering; Economics; Political science","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":[0.0001900872,0.0002025974,0.0001859686,0.0001280357,0.0001115255,0.0001168305,0.00008412977,0.0001567306,0.0001654503],"category_scores_gemma":[0.00003457266,0.0002003255,0.00008643758,0.0003181244,0.00005018649,0.0004990181,0.00001490389,0.0001893689,0.00001969689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002925525,"about_ca_system_score_gemma":0.00004542343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002158787,"about_ca_topic_score_gemma":0.00002547179,"domain_scores_codex":[0.998951,0.0000303903,0.0002952809,0.000286064,0.0001793879,0.0002579194],"domain_scores_gemma":[0.9995792,0.00004712668,0.00002827713,0.0001930206,0.00008104317,0.00007131811],"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":[0.000008163907,0.00003082371,0.000002662867,0.0001151422,0.00003315931,0.000006386654,0.0003103669,0.9954532,0.001485572,0.001375653,0.00003568763,0.001143141],"study_design_scores_gemma":[0.0003076962,0.00001963661,0.00001038777,0.0001290446,0.00004280181,0.000006505833,0.0000977179,0.9958294,0.0001545406,0.003078695,0.00008551193,0.0002380788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03337711,0.0002926916,0.962155,0.0006476042,0.0007313581,0.0003052317,0.00007686389,0.0008071894,0.001606962],"genre_scores_gemma":[0.6244346,0.00045467,0.3730677,0.0001764473,0.0001500041,0.00002981227,0.001046899,0.00008100534,0.0005588241],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5910575,"threshold_uncertainty_score":0.8169037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214829741094506,"score_gpt":0.2467734299360862,"score_spread":0.2246251325251412,"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."}}