{"id":"W2032050708","doi":"10.1108/13552510510601311","title":"Joint optimal periodic and conditional maintenance strategy","year":2005,"lang":"en","type":"article","venue":"Journal of Quality in Maintenance Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université de Montréal; Université Laval","funders":"","keywords":"Mathematical optimization; Erlang (programming language); Block (permutation group theory); Time horizon; Steady state (chemistry); Expected value; Computer science; Reliability engineering; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005450571,0.0004057275,0.0005296016,0.0004192551,0.0002374373,0.0005472192,0.0007748688,0.0003202122,0.003067143],"category_scores_gemma":[0.001599855,0.0001833806,0.000256821,0.0003170675,0.0003101397,0.0005517579,0.0003826764,0.0002507468,0.0002703833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004684229,"about_ca_system_score_gemma":0.001047474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002145479,"about_ca_topic_score_gemma":0.001699749,"domain_scores_codex":[0.999608,0.00008454065,0.00002225671,0.00007549012,0.0001379189,0.00007190662],"domain_scores_gemma":[0.9995067,0.000155907,0.00009730567,0.00007188816,0.0001262364,0.00004193719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004100622,0.0001684439,0.002488755,0.0002543388,0.00007429192,0.0003176962,0.0001051975,0.7315821,0.00933195,0.05808322,0.0038954,0.1932886],"study_design_scores_gemma":[0.00002862942,0.0001491947,0.000848363,0.00001387308,0.00003130707,0.0001512686,0.00001831399,0.9876216,0.001447354,0.008542237,0.001137092,0.00001068042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1672806,0.000816722,0.8101624,0.0003378604,0.0000900209,0.0001536127,0.000133353,0.0005724749,0.02045299],"genre_scores_gemma":[0.9629291,0.0001654207,0.03386627,0.00003046178,0.00002422395,0.00004690073,0.00005904596,0.00001842555,0.002860097],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003067143,"threshold_uncertainty_score":0.01026058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581329301950169,"score_gpt":0.2443258449649503,"score_spread":0.2285125519454486,"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."}}