{"id":"W4320509688","doi":"10.2991/978-94-6463-052-7_75","title":"Research on the Motivation of Overseas M&amp;A—Taking WingTech Acquired Allianz as an Example","year":2022,"lang":"en","type":"book-chapter","venue":"Advances in economics, business and management research/Advances in Economics, Business and Management Research","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"China; Mergers and acquisitions; Government (linguistics); Investment (military); Globalization; Database transaction; Business; Foreign direct investment; Product (mathematics); Marketing; Commerce; Market economy; Political science; Economics; Finance","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":[0.0004021439,0.0002676295,0.0001302137,0.0009235044,0.001828803,0.003435781,0.0003681751,0.0007863587,0.008357611],"category_scores_gemma":[0.0005515129,0.0001192512,0.0001439794,0.001493017,0.001225538,0.002690324,0.0006209559,0.001027066,0.0007392277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003006564,"about_ca_system_score_gemma":0.002255771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008501446,"about_ca_topic_score_gemma":0.02062391,"domain_scores_codex":[0.9998123,0.00004364954,0.000004552356,0.0000339809,0.00006609363,0.00003945468],"domain_scores_gemma":[0.9995968,0.0001964865,0.00008269396,0.00001463595,0.00005711009,0.00005237359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002950411,0.00009686093,0.01450733,0.0002843146,0.00001177637,0.001477817,0.01917241,0.0002147839,0.001130642,0.7977646,0.03779608,0.1275139],"study_design_scores_gemma":[0.00001443035,0.0001003206,0.09145463,0.0008147426,0.00003296565,0.001333782,0.05186092,0.0009959243,0.002215526,0.04651565,0.8046293,0.00003183719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.287131,0.02646464,0.001309494,0.01891167,0.0003309913,0.0000515853,0.0001244498,0.00003815826,0.665638],"genre_scores_gemma":[0.8178373,0.01675522,0.000658658,0.001386087,0.0001624674,0.00002588643,0.0001116896,0.00001534016,0.1630474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008501446,"threshold_uncertainty_score":0.02795899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1326123699188863,"score_gpt":0.3479516455739639,"score_spread":0.2153392756550776,"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."}}