{"id":"W2137872550","doi":"10.5539/ibr.v3n3p194","title":"Development Mode of Automotive Logistics and Optimizing Countermeasure of China’s Automotive Enterprises","year":2010,"lang":"en","type":"article","venue":"International Business Research","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Countermeasure; China; Business; Manufacturing engineering; Industrial organization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004089751,0.0002844163,0.0001031816,0.001547555,0.0006854267,0.001175937,0.0003417252,0.0002164297,0.001338859],"category_scores_gemma":[0.0003882952,0.0001477063,0.0002054965,0.001333768,0.0004781435,0.001064448,0.0005819299,0.0001481614,0.0001478001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002337161,"about_ca_system_score_gemma":0.002287706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01918496,"about_ca_topic_score_gemma":0.01147367,"domain_scores_codex":[0.9996508,0.00004732456,0.00002342372,0.00005130433,0.0001121653,0.0001149434],"domain_scores_gemma":[0.9997539,0.00002164194,0.00007529822,0.0000177,0.00009530387,0.00003615037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004406577,0.0001205311,0.6103996,0.000292734,0.00005491864,0.002014591,0.006382734,0.01658921,0.01784401,0.1157304,0.005816261,0.2243144],"study_design_scores_gemma":[0.00006321727,0.0004407857,0.8066598,0.0001903831,0.0001271187,0.001727239,0.01831911,0.06179145,0.02741843,0.01900631,0.06407834,0.0001778479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715027,0.0006016268,0.004016458,0.0004870236,0.00001161556,0.00004121057,0.0001012102,0.00005321486,0.02318503],"genre_scores_gemma":[0.9961318,0.0003692641,0.0006611628,0.00001910554,0.000004193939,0.000009516487,0.00004151045,0.000003421831,0.002760217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01918496,"threshold_uncertainty_score":0.03814656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05101390548749513,"score_gpt":0.3438016643557466,"score_spread":0.2927877588682514,"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."}}