{"id":"W2904816722","doi":"10.17722/ijme.v12i1.518","title":"Distribution logistics of online fashion retail business in China: A case study of VANCL","year":2018,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; China; Distribution (mathematics); Retail industry; Marketing; Industrial organization; Commerce; Mathematics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000671146,0.0004156921,0.0003154029,0.001726576,0.004167431,0.001563199,0.001246115,0.00126317,0.003813863],"category_scores_gemma":[0.0008519414,0.0002626544,0.0004119217,0.002721429,0.001987256,0.001428384,0.001565096,0.0006285611,0.0003316278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006673618,"about_ca_system_score_gemma":0.004030117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1189465,"about_ca_topic_score_gemma":0.1897963,"domain_scores_codex":[0.9995275,0.0001099411,0.00002245493,0.00005787513,0.0000826723,0.0001996312],"domain_scores_gemma":[0.9994103,0.0001303761,0.0001011816,0.00004712732,0.00007905607,0.0002319551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004489057,0.002501718,0.6485488,0.0005047905,0.00006975385,0.1238704,0.1385471,0.005955679,0.005284804,0.01299405,0.004819527,0.05645451],"study_design_scores_gemma":[0.00008484727,0.001185479,0.4266658,0.0002629083,0.00007744633,0.008829589,0.5052201,0.01553371,0.003544121,0.001437585,0.03702118,0.000137255],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968736,0.00005590342,0.0001502301,0.0001238114,0.000002719556,0.00003392616,0.00003974777,0.000004051245,0.002715859],"genre_scores_gemma":[0.9956528,0.0001833293,0.000364829,0.00006927898,0.000003669743,0.00001732073,0.0000656898,0.000004349217,0.003638681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1189465,"threshold_uncertainty_score":0.2365084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02928235701316377,"score_gpt":0.2866425684629926,"score_spread":0.2573602114498288,"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."}}