{"id":"W2298760341","doi":"10.1108/jqme-12-2014-0060","title":"Joint reliability based design and periodic preventive maintenance policy for systems sold with warranty","year":2016,"lang":"en","type":"article","venue":"Journal of Quality in Maintenance Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Warranty; Preventive maintenance; Reliability engineering; Reliability (semiconductor); Context (archaeology); Constraint (computer-aided design); Total cost; Engineering; Burn-in; Computer science; Mechanical engineering","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":[0.003164827,0.0003071016,0.0006816823,0.0002961384,0.00004462226,0.00006026575,0.0001954988,0.0001358046,0.000003080006],"category_scores_gemma":[0.001503925,0.0001984132,0.0001384956,0.000309675,0.0001195501,0.0005327532,0.00001895489,0.0002766935,7.235248e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006881509,"about_ca_system_score_gemma":0.0001580087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002604022,"about_ca_topic_score_gemma":0.000004675793,"domain_scores_codex":[0.9976926,0.0001279174,0.001066715,0.0002678165,0.0002801712,0.0005647966],"domain_scores_gemma":[0.9981841,0.0005868726,0.0002984847,0.0003064898,0.0004645808,0.0001594638],"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":[0.0003206912,0.00004615562,0.000395135,0.000808313,0.0000421236,0.00001023747,0.0003494486,0.9873441,0.007332089,0.001713851,0.0001878519,0.001450012],"study_design_scores_gemma":[0.005787191,0.0006422645,0.009572876,0.005102421,0.00004474942,0.0001196722,0.0004023604,0.9710602,0.003772877,0.001153403,0.001572359,0.000769675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09135727,0.0002466679,0.9063639,0.0009321671,0.0003215658,0.000663969,0.00002095983,0.00007258564,0.00002092042],"genre_scores_gemma":[0.932141,0.0003441522,0.06714939,0.00003922274,0.0001293453,0.00008349432,9.413135e-7,0.00005317466,0.00005927443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8407837,"threshold_uncertainty_score":0.8091055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676152537659786,"score_gpt":0.2384288729333553,"score_spread":0.2216673475567574,"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."}}