{"id":"W3082487569","doi":"10.5539/ijef.v12n9p73","title":"Warehouse Management System of a Third Party Logistics Provider in Malaysia","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Warehouse; Humanitarian Logistics; Service (business); Integrated logistics support; Value proposition; Service provider; Traffic management; Process management; Data warehouse; Marketing; Knowledge management; Computer science; Database; Transport engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004994711,0.00005086509,0.0001159561,0.00004678596,0.000004760738,0.00001297736,0.0001025459,0.00002076392,8.353314e-7],"category_scores_gemma":[0.00001156715,0.0000508011,0.00002111621,0.00001684018,0.00001476091,0.00007874184,0.00002081898,0.00006416535,6.684539e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004688626,"about_ca_system_score_gemma":0.000006245445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001425232,"about_ca_topic_score_gemma":0.000001330856,"domain_scores_codex":[0.999578,0.000002853634,0.0002892212,0.00005093012,0.00002993565,0.00004907624],"domain_scores_gemma":[0.999769,0.00001570922,0.0001291268,0.00003175441,0.00003828004,0.00001612421],"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":[0.00002716844,0.000006608409,0.0001646092,0.00004457146,0.00002778446,0.00002134065,0.00008685536,0.9769064,0.000002386979,0.02029482,0.00005290993,0.002364514],"study_design_scores_gemma":[0.0005819616,0.00004161035,0.000856887,0.0000908142,0.00000881218,0.00001888864,0.00009142465,0.9911185,0.0003746142,0.001718025,0.005015891,0.00008257769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5033144,0.0007298624,0.492011,0.0006481881,0.0009883092,0.0001333314,0.00004758906,0.00002236715,0.002105049],"genre_scores_gemma":[0.9840252,0.003201229,0.01266451,0.00003146369,0.00006079874,0.000001020781,0.000001244357,0.000006462462,0.000008057867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4807109,"threshold_uncertainty_score":0.2071609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395355335767913,"score_gpt":0.2016762173724732,"score_spread":0.187722664014794,"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."}}