{"id":"W2597041817","doi":"10.32920/21280026","title":"Human Factors in Order Picking System Design: A Content Analysis","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Order picking; Order (exchange); Operations research; Computer science; Sample (material); Operations management; Business; Economics; Engineering; Marketing","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":[0.0001565377,0.0002645314,0.000463427,0.0005445854,0.00007284925,0.00005342735,0.000202888,0.0001434953,0.0002115653],"category_scores_gemma":[0.00002854425,0.0002627559,0.0001021085,0.0004399985,0.00001088489,0.00003275978,0.0002049891,0.0005290614,0.000001630219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006028626,"about_ca_system_score_gemma":0.00001657079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005249013,"about_ca_topic_score_gemma":0.0001555319,"domain_scores_codex":[0.9988509,0.00005499188,0.0003837264,0.0003188053,0.0001697272,0.0002217814],"domain_scores_gemma":[0.999418,0.00004675164,0.00007729704,0.0003688796,0.00004541283,0.00004369819],"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":[0.000001025246,0.000009507204,0.001789431,0.0001673776,0.000287506,0.000009155374,0.0002282605,0.9970067,0.00001405598,0.0004345253,0.00001739149,0.00003511574],"study_design_scores_gemma":[0.0001881213,0.00001336934,0.005921869,0.00005549777,0.0003382988,4.153021e-7,0.001057652,0.9912512,0.000496942,0.0001080845,0.00005105747,0.0005174979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02159136,0.00008655577,0.9745441,0.000002927014,0.0003575122,0.0002940336,0.00001543511,0.000713601,0.002394486],"genre_scores_gemma":[0.9797022,0.00001504994,0.01952101,0.000004473623,0.00002200279,0.00009182435,0.0002325048,0.00004409088,0.000366799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9581109,"threshold_uncertainty_score":0.9999825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07739905987348596,"score_gpt":0.2721947930767405,"score_spread":0.1947957332032546,"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."}}