{"id":"W1996488005","doi":"10.1007/s10845-012-0686-x","title":"A simulation modeling framework for multiple-aisle automated storage and retrieval systems","year":2012,"lang":"en","type":"article","venue":"Journal of Intelligent Manufacturing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Aisle; Generality; Flexibility (engineering); Process (computing); Computer science; Industrial engineering; Discrete event simulation; Unit load; Simulation; Systems engineering; Engineering","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":[0.0009707845,0.0009656138,0.001525536,0.0009095767,0.001307396,0.002101353,0.002874942,0.001885409,0.006639062],"category_scores_gemma":[0.001998593,0.0008008349,0.001494956,0.0008541071,0.0007095893,0.001764818,0.001441833,0.0012306,0.0009838799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002304266,"about_ca_system_score_gemma":0.003980328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05857712,"about_ca_topic_score_gemma":0.02943189,"domain_scores_codex":[0.9994942,0.0001581163,0.00003572394,0.0000743254,0.0001447952,0.00009288868],"domain_scores_gemma":[0.9993445,0.00027524,0.00007111991,0.00005493624,0.0001808849,0.00007330196],"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":[0.000009850968,0.00001341812,0.00009794654,0.000008590569,0.00001036192,0.00001853983,0.0000167558,0.991187,0.0001998929,0.00691395,0.0002153863,0.001308307],"study_design_scores_gemma":[0.000003671137,0.000003722486,0.00001262201,0.000001800193,0.000002854222,0.000002474792,0.000003690757,0.9983753,0.00006447936,0.001106964,0.000419848,0.00000258351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02692581,0.0003204457,0.9540677,0.0006345893,0.000118169,0.0002114174,0.0005976016,0.001435024,0.0156893],"genre_scores_gemma":[0.7786358,0.0008256688,0.2038287,0.0002068416,0.0001057853,0.0006343731,0.0009042911,0.000429706,0.01442879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05857712,"threshold_uncertainty_score":0.1164723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0347152031222077,"score_gpt":0.285546497891434,"score_spread":0.2508312947692263,"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."}}