{"id":"W4416817342","doi":"10.1142/s0218539325500561","title":"Interval-Dependent Maintenance Effect Modeling for Optimization of Multiple Preventive Maintenance on a Repairable System: A Virtual Age-Based Approach","year":2025,"lang":"en","type":"article","venue":"International Journal of Reliability Quality and Safety Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Providence Health Care","funders":"","keywords":"Preventive maintenance; Particle swarm optimization; Simulated annealing; Optimal maintenance; Maintenance engineering; Scheduling (production processes); Interval (graph theory); Robustness (evolution); Maintenance actions; Optimization problem","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":[0.003044244,0.0002588105,0.000608597,0.0002775562,0.00005158574,0.00004902021,0.0003480308,0.0001702925,0.000001830393],"category_scores_gemma":[0.002536897,0.0002320026,0.0003122888,0.0001771753,0.00006949235,0.0003302567,0.0000477524,0.0003460996,1.994888e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006105578,"about_ca_system_score_gemma":0.00006985858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002949722,"about_ca_topic_score_gemma":0.000004162145,"domain_scores_codex":[0.9975794,0.0001174176,0.001347107,0.0002986049,0.0004164863,0.0002409627],"domain_scores_gemma":[0.9976091,0.0008639278,0.0002935433,0.0002661924,0.0008943374,0.00007290403],"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":[0.001457487,0.000113382,0.0001851733,0.001549258,0.0002016794,0.000002775872,0.000151833,0.990329,0.0003764573,0.004587133,0.00002976132,0.001016059],"study_design_scores_gemma":[0.002424848,0.0002394201,0.0001742414,0.001980258,0.00005090245,0.000008415166,0.0001961948,0.9933819,0.00103743,0.0002129432,0.0001077555,0.0001856833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05267221,0.00009576632,0.9449313,0.0001908355,0.00114342,0.0005767617,0.00005956711,0.00009361417,0.0002365166],"genre_scores_gemma":[0.9528785,0.0001324957,0.04673488,0.0000309559,0.00006526178,0.00004817543,0.00002956486,0.00002547072,0.00005470763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9002063,"threshold_uncertainty_score":0.9460791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009856209793523927,"score_gpt":0.2458535205147955,"score_spread":0.2359973107212716,"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."}}