{"id":"W2041759495","doi":"10.1108/13552510810861923","title":"Optimal inspection and preventive maintenance policy for systems with self‐announcing and non‐self‐announcing failures","year":2008,"lang":"en","type":"article","venue":"Journal of Quality in Maintenance Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Uniqueness; Preventive maintenance; Originality; Idle; Order (exchange); Computer science; Value (mathematics); Reliability engineering; Optimal maintenance; Operations research; Mathematical optimization; Risk analysis (engineering); Engineering; Mathematics; Economics; Business; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00144155,0.0003126373,0.000642398,0.0003645679,0.000117531,0.00007675142,0.0001363888,0.0001378908,3.751037e-7],"category_scores_gemma":[0.0004949161,0.0002687602,0.00008375431,0.000401925,0.00007293581,0.0007685058,0.0000303193,0.0004443868,2.875301e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000723983,"about_ca_system_score_gemma":0.0001269342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001489667,"about_ca_topic_score_gemma":0.0000273945,"domain_scores_codex":[0.9980035,0.00004711518,0.0008789912,0.0002557651,0.0002991582,0.0005155088],"domain_scores_gemma":[0.9987537,0.0002198856,0.000286378,0.0001754354,0.0004258456,0.0001387148],"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":[0.0001241937,0.00004640128,0.002355796,0.001001119,0.0001209519,0.00003288531,0.004758735,0.9885747,0.001549067,0.001173321,0.0001509386,0.0001118822],"study_design_scores_gemma":[0.003601588,0.0005340788,0.0407014,0.002381536,0.00006354064,0.001436887,0.003155535,0.9451885,0.0004926271,0.0001150175,0.001592306,0.0007369612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7063717,0.0006161156,0.2918201,0.0002340498,0.0002972994,0.0004437316,0.000009718823,0.000148022,0.00005925369],"genre_scores_gemma":[0.9507684,0.00154142,0.04726613,0.00002264665,0.0002840585,0.00004003447,0.00000192429,0.00005196332,0.00002343961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.244554,"threshold_uncertainty_score":0.9999765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007945176398540704,"score_gpt":0.2233356510639563,"score_spread":0.2153904746654156,"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."}}