{"id":"W1961678269","doi":"10.5430/bmr.v4n2p13","title":"Research on the Problems and Countermeasures of Chinese Automobile Enterprises Transnational Merger and Acquisition","year":2015,"lang":"en","type":"article","venue":"Business and Management Research","topic":"Global Political and Economic Relations","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"People's Government of Jilin Province","keywords":"Business; Politics; Process (computing); Ideal (ethics); Mergers and acquisitions; Automotive industry; Industrial organization; Economic system; Finance; Economics; Law; Computer science; Political science; 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":[0.002727733,0.0002819257,0.0002392149,0.001758205,0.003297064,0.003615147,0.0008448453,0.001101808,0.002446101],"category_scores_gemma":[0.005599547,0.0001951472,0.0003168623,0.002311271,0.002215515,0.002933801,0.001680999,0.0008860218,0.0001180092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004489337,"about_ca_system_score_gemma":0.01215527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03726357,"about_ca_topic_score_gemma":0.03730685,"domain_scores_codex":[0.9975464,0.0006325017,0.0001392679,0.0002522835,0.0008066162,0.000622957],"domain_scores_gemma":[0.9969307,0.0007281304,0.001109064,0.000156469,0.000801233,0.0002744273],"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":[0.0001689266,0.0003657766,0.3595124,0.001172397,0.0002400398,0.002694565,0.03509977,0.003247954,0.004056111,0.324981,0.01093021,0.2575309],"study_design_scores_gemma":[0.00007226862,0.0003827884,0.6439984,0.001084442,0.0004683692,0.001129542,0.1727877,0.01312868,0.008706626,0.04374027,0.1143401,0.0001609258],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.912594,0.006836326,0.001996287,0.01535246,0.0001160331,0.0001258092,0.00003900323,0.00003296218,0.06290712],"genre_scores_gemma":[0.9938306,0.002585421,0.0004135591,0.0005043854,0.00002592492,0.00002459115,0.0000201606,0.000002354527,0.00259291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03726357,"threshold_uncertainty_score":0.07409334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1522291135480859,"score_gpt":0.4072316392877108,"score_spread":0.2550025257396249,"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."}}