{"id":"W2589721556","doi":"10.1080/00207543.2017.1290295","title":"Selective maintenance optimisation for series-parallel systems alternating missions and scheduled breaks with stochastic durations","year":2017,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Reliability (semiconductor); Maintenance actions; Component (thermodynamics); Reliability engineering; Series (stratigraphy); Mathematical optimization; Stochastic process; Imperfect; Stochastic modelling; Computer science; Duration (music); Engineering; Operations research; Mathematics; Statistics","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":[0.00118284,0.0001024505,0.0001508574,0.0002606131,0.0004464504,0.000388637,0.0003148543,0.00005506742,0.000005665219],"category_scores_gemma":[0.002111271,0.00008343208,0.00003778901,0.00007992777,0.0001695655,0.001088584,0.00003696737,0.0003265837,0.000001461856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347598,"about_ca_system_score_gemma":0.0001397878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003124294,"about_ca_topic_score_gemma":0.00002178153,"domain_scores_codex":[0.9986702,0.00005437381,0.0003536152,0.000180078,0.0005411615,0.0002005503],"domain_scores_gemma":[0.9958561,0.0001031807,0.0002488471,0.0001930544,0.003514899,0.00008390326],"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":[0.0004232668,0.00004357451,0.000185885,0.00005700743,0.0001718762,0.000004823817,0.0003772402,0.9867119,0.005164145,0.003735482,0.001359456,0.001765343],"study_design_scores_gemma":[0.004222248,0.0009817862,0.008290661,0.001842462,0.00007180773,0.001808206,0.002837388,0.961799,0.006865043,0.006038504,0.004693059,0.0005498373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2482506,0.0002753284,0.7335193,0.01189235,0.003503804,0.001305715,0.00002723537,0.00006682445,0.001158866],"genre_scores_gemma":[0.9797425,0.0002356057,0.01839508,0.00000408709,0.0007439809,0.00007037019,0.000007086661,0.00002219243,0.0007790835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7314919,"threshold_uncertainty_score":0.3747635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04950199809601195,"score_gpt":0.3453118151378958,"score_spread":0.2958098170418838,"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."}}