{"id":"W4307025648","doi":"10.1016/j.tre.2022.102920","title":"Rack retrieval and repositioning optimization problem in robotic mobile fulfillment systems","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Rack; Computer science; Engineering; Industrial engineering; Automotive engineering; Mechanical 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":[0.0008779885,0.001212361,0.002292131,0.0007279158,0.0008591355,0.002053589,0.001948176,0.001800276,0.005296652],"category_scores_gemma":[0.001387332,0.0006884004,0.001077002,0.001463059,0.001025274,0.001956466,0.0009979194,0.001079048,0.0007160737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722607,"about_ca_system_score_gemma":0.00144897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187299,"about_ca_topic_score_gemma":0.005742417,"domain_scores_codex":[0.9994122,0.0001338339,0.00002613933,0.0001742535,0.0001209812,0.0001326852],"domain_scores_gemma":[0.9996182,0.0001655097,0.00006691306,0.00004472256,0.00007259591,0.00003200881],"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":[0.0001589181,0.0001005405,0.0003438235,0.0003075002,0.00005915614,0.0001298433,0.0000743159,0.9177219,0.002646739,0.01281556,0.003698258,0.06194335],"study_design_scores_gemma":[0.00001638395,0.0001449042,0.000595981,0.00002610768,0.00002556896,0.00006617579,0.00007188982,0.9902129,0.0008815348,0.005333698,0.002602362,0.00002250369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1715314,0.007143996,0.7835322,0.001428917,0.0003616312,0.0003466215,0.0008582038,0.0006868574,0.03411022],"genre_scores_gemma":[0.9110014,0.003155153,0.05445799,0.0001409786,0.0001478193,0.0002135326,0.0007206926,0.0001356443,0.03002672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01187299,"threshold_uncertainty_score":0.02360779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03862751595468656,"score_gpt":0.3045122119396136,"score_spread":0.2658846959849271,"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."}}