{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002740677,0.0001213502,0.0001238957,0.001674941,0.0003093218,0.000534415,0.0003118122,0.000262484,0.001699106],"category_scores_gemma":[0.0008424192,0.000141677,0.0002351103,0.002910797,0.0002285054,0.0005717144,0.0003002051,0.0001892471,0.000224608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145573,"about_ca_system_score_gemma":0.0006535826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03371998,"about_ca_topic_score_gemma":0.04563627,"domain_scores_codex":[0.9997202,0.00001859723,0.00003562739,0.00007107509,0.00009241755,0.00006211868],"domain_scores_gemma":[0.9992629,0.0001083383,0.0002314436,0.00003809063,0.0002832901,0.0000759515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001134539,0.00002368459,0.9766287,0.00005623098,0.00002509175,0.0005715574,0.001978261,0.001121263,0.00377453,0.000987745,0.0005630211,0.01415643],"study_design_scores_gemma":[0.000001397109,0.00003385611,0.9958897,0.000007971132,0.00000804308,0.0001960646,0.0009934891,0.001433395,0.0004061224,0.00006090451,0.0009637215,0.000005350952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987224,0.00005139981,0.0001041749,0.00005654454,0.000001820622,0.000002352576,0.0002032192,0.000006393647,0.0008517151],"genre_scores_gemma":[0.9985343,0.00009684772,0.0001052265,0.00001102323,0.000003065747,0.000002753296,0.0003140378,0.000002462333,0.0009302086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03371998,"threshold_uncertainty_score":0.06704742,"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."}}