{"id":"W2031495046","doi":"10.1007/s10845-009-0364-9","title":"Optimum block replacement policy over a random time horizon","year":2009,"lang":"en","type":"article","venue":"Journal of Intelligent Manufacturing","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Horizon; Interval (graph theory); Block (permutation group theory); Time horizon; Mathematical optimization; Work (physics); Production (economics); Computer science; Mathematics; Engineering; Economics; Microeconomics","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":[0.001768447,0.0006121866,0.001617764,0.0005678304,0.0003035401,0.0007208892,0.001053927,0.001497219,0.003356554],"category_scores_gemma":[0.004994473,0.0006048103,0.0003043219,0.0006640507,0.0005327401,0.001077316,0.0003965219,0.0007057855,0.0005321641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009511132,"about_ca_system_score_gemma":0.001595251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002600696,"about_ca_topic_score_gemma":0.002067765,"domain_scores_codex":[0.9992429,0.0002675074,0.00003234952,0.0001210431,0.0001374225,0.000198758],"domain_scores_gemma":[0.9960188,0.002601972,0.0004883837,0.0002289697,0.0003854231,0.000276458],"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":[0.0007432661,0.00006963978,0.0004470152,0.00008678356,0.00003124992,0.00006235954,0.00002707841,0.9716983,0.003680534,0.006085274,0.001076995,0.01599154],"study_design_scores_gemma":[0.00006392247,0.0001753999,0.0005424112,0.00001107894,0.00003252264,0.00003570238,0.000009100794,0.9947177,0.0009098365,0.002975831,0.0005174926,0.000009057899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5072513,0.002386962,0.4784716,0.001084761,0.000177823,0.0001960551,0.0007759811,0.000698717,0.00895673],"genre_scores_gemma":[0.9687275,0.0003842537,0.02578474,0.00007158618,0.00004110084,0.00006530552,0.0001716445,0.00004999018,0.004703781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003356554,"threshold_uncertainty_score":0.01122874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005360223239951197,"score_gpt":0.2210406414797786,"score_spread":0.2156804182398274,"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."}}