{"id":"W2388753209","doi":"","title":"The Trend of Imported Spare Parts Supply Pattern in China Automobile Manufacturing Enterprises","year":2008,"lang":"en","type":"article","venue":"Logistics Technology","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Spare part; Business; Automotive industry; Supply chain; China; Industrial organization; Process (computing); Operations management; Mode (computer interface); Supply chain management; Manufacturing engineering; Commerce; Computer science; Marketing; Economics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002376689,0.0001723235,0.0002609641,0.0003987328,0.0001960207,0.00003859509,0.0005047293,0.0001299234,0.0001061145],"category_scores_gemma":[0.0001246169,0.0001343444,0.00005662971,0.0003329567,0.0004147529,0.0001321898,0.0004156177,0.0002260305,0.00003601743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002694085,"about_ca_system_score_gemma":0.000009585854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005966985,"about_ca_topic_score_gemma":0.001751297,"domain_scores_codex":[0.998704,0.00001220574,0.0004658063,0.0002604079,0.0001772763,0.0003803585],"domain_scores_gemma":[0.9992064,0.00005886417,0.0002384304,0.0004647427,0.00002445461,0.000007149323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007607255,0.0005298838,0.8598666,0.0003717466,0.0001057584,0.000639641,0.0002649739,0.002324909,0.00007175889,0.05732171,0.007648588,0.07077836],"study_design_scores_gemma":[0.001997874,0.0001169197,0.6223613,0.000163303,0.0001063394,0.00003962109,0.001937446,0.007903749,0.002767338,0.08442655,0.2773192,0.0008603657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98111,0.000208665,0.00560316,0.004166476,0.0004103407,0.0004529455,0.000017448,0.0003602103,0.007670754],"genre_scores_gemma":[0.999253,0.000137885,0.00005104328,0.0002068995,0.0000879707,0.00004715771,0.00003577562,0.00001641726,0.0001638093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2696706,"threshold_uncertainty_score":0.5478404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940922346653571,"score_gpt":0.2322281471751398,"score_spread":0.2128189237086041,"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."}}