{"id":"W4388543763","doi":"10.1109/tr.2023.3325665","title":"An Availability-Constrained Integrated Maintenance–Monitoring Model for a System With Failures Following an NHPP","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Reliability","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canada Research Chairs","keywords":"Reliability engineering; Control chart; Corrective maintenance; Preventive maintenance; Control limits; Optimal maintenance; Production (economics); Maintenance actions; Interval (graph theory); Chart; Sensitivity (control systems); Maintenance engineering; Statistical process control; Computer science; Process (computing); Function (biology); Poisson distribution; Planned maintenance; Engineering; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001029194,0.000416397,0.000461768,0.0002200535,0.000360975,0.0001160201,0.0002973048,0.0002537793,0.000009103837],"category_scores_gemma":[0.00004170742,0.0003596723,0.0002518657,0.000774128,0.0001447592,0.0007916623,9.464609e-7,0.0004199483,0.00001539783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005773992,"about_ca_system_score_gemma":0.000126289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001192618,"about_ca_topic_score_gemma":0.0001816285,"domain_scores_codex":[0.9975826,0.0001065762,0.0005768833,0.0007733557,0.000306005,0.0006546135],"domain_scores_gemma":[0.9981858,0.0002006625,0.00005480715,0.00102147,0.0002832193,0.0002540147],"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":[0.0002207591,0.0001540422,0.00009984276,0.0003426298,0.00005547825,0.000003419702,0.0006090798,0.9908898,0.002841061,0.00008055305,0.00003253187,0.004670752],"study_design_scores_gemma":[0.0009042735,0.0003398068,0.0001839023,0.0002118903,0.00007496137,0.000004146074,0.001745096,0.9906017,0.005290085,0.0001846239,0.00004360316,0.000415911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3297093,0.000003281044,0.666152,0.00006104646,0.0006654194,0.000956572,0.0001363335,0.002196643,0.0001194281],"genre_scores_gemma":[0.9722298,0.00001440639,0.02663513,0.0000108376,0.0000483455,0.0008217344,0.00004368049,0.00008431537,0.0001117402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6425205,"threshold_uncertainty_score":0.9998855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360916231801951,"score_gpt":0.2362500589579949,"score_spread":0.2226408966399754,"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."}}