{"id":"W2029057256","doi":"10.1080/00207543.2014.919424","title":"Incorporating human factors in order picking planning models: framework and research opportunities","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":360,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Order (exchange); Computer science; Build to order; Management science; Process management; Operations research; Engineering; Business; Risk analysis (engineering); Systems engineering; Production (economics); Economics; Microeconomics","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":[0.003417261,0.001606265,0.001118967,0.002681972,0.0009675029,0.003516594,0.002296364,0.002237535,0.003825512],"category_scores_gemma":[0.006964151,0.0008918904,0.001485597,0.003955401,0.002298917,0.003146675,0.001863752,0.001444801,0.0004390389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003834652,"about_ca_system_score_gemma":0.006887651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03623883,"about_ca_topic_score_gemma":0.03983499,"domain_scores_codex":[0.9983229,0.001094321,0.00005082737,0.0001950811,0.0001987125,0.0001380851],"domain_scores_gemma":[0.994275,0.004566164,0.0004065101,0.0001245759,0.0004289993,0.0001986928],"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":[0.00005536814,0.0002702748,0.004353119,0.0004340918,0.0001224416,0.0002168594,0.0006525234,0.7926652,0.000270502,0.1738204,0.001166004,0.02597311],"study_design_scores_gemma":[0.00003620368,0.0001741639,0.001078446,0.0002752885,0.00009996091,0.00007026398,0.0006811982,0.8703711,0.0001532171,0.1203316,0.006669565,0.00005902735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04854255,0.006172461,0.911485,0.004543726,0.0001873284,0.0005047275,0.0004354908,0.0001490126,0.02797966],"genre_scores_gemma":[0.6882678,0.01170451,0.2919852,0.0003991428,0.0002214679,0.001120641,0.0003346279,0.00005765315,0.005909044],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03623883,"threshold_uncertainty_score":0.07205582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3219754372315402,"score_gpt":0.440395888388334,"score_spread":0.1184204511567938,"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."}}