{"id":"W2058724121","doi":"10.1016/j.ress.2014.06.018","title":"Joint optimal inspection and inventory for a k-out-of-n system","year":2014,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Barrick Gold Corporation","keywords":"Spare part; Joint (building); Reliability engineering; Homogeneous; Process (computing); Poisson process; Computer science; Poisson distribution; Mathematical optimization; Reliability (semiconductor); Engineering; Mathematics; Operations management; Statistics; Structural engineering; Combinatorics","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":[0.001250582,0.0002518931,0.0005347628,0.0001135265,0.00007389607,0.00002435358,0.0001045386,0.0001837439,9.638577e-7],"category_scores_gemma":[0.0002138643,0.0002531606,0.0001400389,0.0001504947,0.00004601945,0.0001646367,0.00002507852,0.0001478144,0.000004167878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005710767,"about_ca_system_score_gemma":0.00001827811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002063026,"about_ca_topic_score_gemma":0.000002411762,"domain_scores_codex":[0.9984144,0.00004713072,0.0007298775,0.000331654,0.0001697864,0.0003071816],"domain_scores_gemma":[0.9990456,0.00013818,0.00008899795,0.000453923,0.0001546745,0.0001186149],"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":[0.00003071479,0.00001427085,0.0001800467,0.01116312,0.00003363033,2.327408e-7,0.0002860811,0.9749028,0.002733173,0.01020671,0.00005079164,0.0003984296],"study_design_scores_gemma":[0.0004827211,0.00008344305,0.0008297837,0.000769102,0.00003829598,0.000008760442,0.0002045261,0.9936082,0.001742128,0.000011131,0.001978484,0.0002434248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1206886,0.0001542837,0.8743915,0.00001990015,0.001652019,0.0008677662,0.00002673051,0.00145428,0.0007449773],"genre_scores_gemma":[0.9862069,0.00002833726,0.01339176,0.000001875898,0.0001610138,0.0001217134,0.0000180164,0.00005716284,0.00001325067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8655183,"threshold_uncertainty_score":0.9999921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005861868504700852,"score_gpt":0.1743362015413462,"score_spread":0.1684743330366453,"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."}}