{"id":"W4411717762","doi":"10.4018/979-8-3693-9856-2.ch009","title":"Smart Warehousing","year":2025,"lang":"en","type":"book-chapter","venue":"Advances in computational intelligence and robotics book series","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004048709,0.0002810107,0.0002766146,0.000190427,0.00008685929,0.00003838846,0.0001013964,0.0001550111,0.00002651486],"category_scores_gemma":[0.0000190004,0.0003085406,0.00003706921,0.00003614841,0.0001705308,0.0004821866,0.00005265769,0.0002986529,0.000008590002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007759979,"about_ca_system_score_gemma":0.0000327378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.335719e-7,"about_ca_topic_score_gemma":0.00002167473,"domain_scores_codex":[0.9990861,0.000004547416,0.0003586283,0.0002500837,0.0001350293,0.0001656577],"domain_scores_gemma":[0.9995075,0.0002037089,0.00006201553,0.0001143811,0.00007475681,0.00003764899],"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":[0.000005026977,0.000002295961,0.000002523938,0.0001409902,0.00001157525,0.00000746977,0.00003260023,0.6807753,5.863748e-8,0.3058745,0.0000454652,0.01310224],"study_design_scores_gemma":[0.00004645291,0.00003558216,0.000003949519,0.0005800116,0.00002323212,0.0000129845,0.0000237262,0.2713616,0.00004943306,0.604899,0.1225213,0.0004427648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[1.665291e-7,0.02428683,0.8122042,0.00006408389,0.0004585207,0.0001169001,0.00001688415,0.0001385689,0.1627139],"genre_scores_gemma":[0.007323444,0.2742279,0.4849012,0.0003929261,0.0002596448,0.00002408879,0.0004350612,0.0001642197,0.2322715],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4094137,"threshold_uncertainty_score":0.9999366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408684554151061,"score_gpt":0.2454213425135734,"score_spread":0.2313344969720628,"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."}}