{"id":"W2267116782","doi":"10.1016/j.ifacol.2015.06.408","title":"On Reliability Improvement of Second-hand Products","year":2015,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Warranty; Upgrade; Reliability (semiconductor); Reliability engineering; Product (mathematics); Consistency (knowledge bases); Order (exchange); Computer science; Engineering; Mathematics; Business","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":[0.0003193891,0.0001490012,0.0002069376,0.00004459935,0.00002439845,0.00001395802,0.0001089157,0.00007837027,0.00008596728],"category_scores_gemma":[0.0003584969,0.000128321,0.0000445588,0.0001661634,0.00007282006,0.000117763,0.00002179506,0.0001333794,0.00002676052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192981,"about_ca_system_score_gemma":0.00004758214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001859787,"about_ca_topic_score_gemma":0.00002777344,"domain_scores_codex":[0.9990721,0.00001449416,0.0002781588,0.0002351229,0.000196523,0.0002036143],"domain_scores_gemma":[0.9992331,0.00003501383,0.00004560027,0.0003934438,0.0002000297,0.00009277309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002950677,0.0006308831,0.000414035,0.001054923,0.00008784926,0.000005672406,0.002397906,0.7910881,0.1824506,0.0008342196,0.001240108,0.01950059],"study_design_scores_gemma":[0.006659421,0.003439405,0.003683705,0.0003738361,0.000114207,0.00001191072,0.001295927,0.3166484,0.6394498,0.005804997,0.02089364,0.001624731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912637,0.0001222787,0.00194929,0.0005649913,0.000606267,0.0004132389,0.00004961563,0.0001465285,0.004884073],"genre_scores_gemma":[0.9465879,0.00003553532,0.05214887,0.0001057761,0.0001214775,0.00002213268,0.00004983777,0.00002978999,0.0008986573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4744398,"threshold_uncertainty_score":0.5232779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131381317823517,"score_gpt":0.2111223521607518,"score_spread":0.1998085389825166,"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."}}