{"id":"W2101638151","doi":"10.22237/jotm/1093997160","title":"The transportation and warehousing challenge for multinational corporations in China","year":2004,"lang":"en","type":"article","venue":"Journal of Transportation Management","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Business; Multinational corporation; Humanitarian Logistics; Service (business); Supply chain; China; Distribution (mathematics); Traffic management; Industrial organization; Service provider; Marketing; Commerce; Transport engineering; Finance; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004188558,0.000282068,0.0003168864,0.0008278645,0.005847563,0.00532928,0.00101278,0.001459561,0.004885503],"category_scores_gemma":[0.003412234,0.0001681072,0.0002839992,0.002051572,0.002210017,0.003781039,0.002613129,0.001045838,0.0004953567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01054354,"about_ca_system_score_gemma":0.02984576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1290395,"about_ca_topic_score_gemma":0.1120846,"domain_scores_codex":[0.9984164,0.0002729212,0.00007435864,0.0001390164,0.0005175047,0.0005797679],"domain_scores_gemma":[0.9964224,0.0006747887,0.0004296975,0.0002405725,0.00112254,0.00110997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002964983,0.000251859,0.08709826,0.0005938052,0.00007086333,0.004109567,0.008823086,0.01868426,0.002762543,0.4059134,0.1323537,0.339042],"study_design_scores_gemma":[0.0001725378,0.0003051957,0.1551932,0.0007139136,0.00008133823,0.00103387,0.04677635,0.06027896,0.003433865,0.1605933,0.5712288,0.0001886583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5793966,0.01233549,0.006530172,0.2717497,0.0004423467,0.0001948395,0.0002893962,0.0002166597,0.1288449],"genre_scores_gemma":[0.9504552,0.008950055,0.003754689,0.004428319,0.0003412515,0.00009508412,0.0002177309,0.00002993054,0.03172784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1290395,"threshold_uncertainty_score":0.2565768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231980362915384,"score_gpt":0.2253929139478091,"score_spread":0.2130731103186552,"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."}}