{"id":"W2772138432","doi":"10.1007/978-3-319-64486-8_3","title":"The Evolution of Government–MNC Relations in China: The Case of the Automotive Sector","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Asian Industrial and Economic Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Automotive industry; Multinational corporation; China; Government (linguistics); Business; Argument (complex analysis); Foreign direct investment; Modernization theory; Corporation; Corporate governance; International trade; Economy; Market economy; Economic system; Industrial organization; Political science; Economic growth; 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":[0.0009281276,0.00009609271,0.0001535862,0.00001379965,0.0009768679,0.00002774866,0.0004413266,0.0001863735,0.0005494569],"category_scores_gemma":[0.0002527281,0.00004622512,0.0001072295,0.00001902122,0.000650488,0.00006510675,0.0001242365,0.0002486583,0.00002054789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009116879,"about_ca_system_score_gemma":0.00051859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01523986,"about_ca_topic_score_gemma":0.08627926,"domain_scores_codex":[0.9991688,0.0000689278,0.0003141949,0.000123157,0.0001970675,0.0001278796],"domain_scores_gemma":[0.9988692,0.0001976283,0.0005591051,0.000316952,0.00003370776,0.00002338327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007457807,0.00000908263,0.001141876,0.000002186765,0.00006124986,0.00000358395,0.008973814,0.00001314996,3.435101e-7,0.9774933,0.006525064,0.005768826],"study_design_scores_gemma":[0.0007166057,0.00004914499,0.06106303,0.000349643,0.000128963,0.00001717115,0.03957509,0.0001058577,0.00002295682,0.2056899,0.6918252,0.0004564701],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002592881,0.00005261,0.000009175988,0.003715632,0.0006710517,0.0004587202,0.00005718887,0.000005219263,0.9924375],"genre_scores_gemma":[0.4408621,0.00002399005,0.000006558711,0.000006831096,0.0000948232,0.000005200732,3.585004e-7,0.000004482253,0.5589956],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7718034,"threshold_uncertainty_score":0.9913177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319403737476258,"score_gpt":0.2428126331450568,"score_spread":0.2196185957702942,"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."}}