{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007487239,0.0004280783,0.0005834778,0.006194584,0.001561815,0.003201905,0.0005575641,0.000541975,0.003857613],"category_scores_gemma":[0.02588161,0.0002979397,0.0006206358,0.005090517,0.002022836,0.002772596,0.001212282,0.0007709214,0.0004531501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005432161,"about_ca_system_score_gemma":0.006388469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0032055,"about_ca_topic_score_gemma":0.002023851,"domain_scores_codex":[0.9941453,0.003602932,0.0003815009,0.0003269187,0.001355577,0.0001878563],"domain_scores_gemma":[0.9586561,0.03489382,0.001175416,0.0006006537,0.0043907,0.0002834037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005817607,0.001320409,0.06062539,0.006389126,0.0001639053,0.0007225416,0.3114559,0.003716852,0.01110497,0.05410306,0.006902744,0.5429134],"study_design_scores_gemma":[0.0003229764,0.001470129,0.2099584,0.009716684,0.0008628144,0.0008088041,0.5300007,0.03798781,0.03193539,0.04200467,0.1346223,0.0003093124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8797333,0.001470914,0.0706371,0.002296752,0.0001077803,0.006349783,0.001262325,0.0001425031,0.03799949],"genre_scores_gemma":[0.913364,0.001932118,0.07422841,0.0004503913,0.00006439451,0.004651417,0.0009138461,0.00008940831,0.00430599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007487239,"threshold_uncertainty_score":0.0395968,"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."}}