{"id":"W4392705147","doi":"10.1002/ijfe.2964","title":"Do women in the boardroom influence foreign acquisitions' premium and outcomes? Evidence from China","year":2024,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Newcastle University; Queen's University Belfast; University of Nottingham; University of Portsmouth","keywords":"Endogeneity; Instrumental variable; Corporate governance; Gender diversity; Business; Propensity score matching; China; Accounting; Diversity (politics); Argument (complex analysis); Value (mathematics); Agency cost; Empirical evidence; Emerging markets; Monetary economics; Agency (philosophy); Enterprise value; Economics; Principal–agent problem; Demographic economics; Finance; Econometrics; Shareholder; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0009452781,0.0001932718,0.0002354986,0.001005626,0.0005508499,0.0005606757,0.0002890451,0.0002559935,0.003024943],"category_scores_gemma":[0.001689857,0.0001029542,0.0003946631,0.001085992,0.000597044,0.0003166732,0.0005306301,0.0002786764,0.0001531839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004702324,"about_ca_system_score_gemma":0.0007010659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04414199,"about_ca_topic_score_gemma":0.05484701,"domain_scores_codex":[0.999549,0.0001121758,0.00002914217,0.0001011387,0.00007528221,0.0001332],"domain_scores_gemma":[0.9978855,0.0004187328,0.0009667515,0.0001068199,0.0002111591,0.0004109736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004270199,0.0000265822,0.9953285,0.00001345488,0.00004329391,0.00009000793,0.0004875477,0.00004024129,0.00008956404,0.0001812962,0.0001794098,0.003477342],"study_design_scores_gemma":[0.000002646671,0.00002437573,0.9989089,0.000008254509,0.00002184323,0.00001985085,0.0005040944,0.00009961698,0.00004617557,0.00005183876,0.0003098306,0.00000264488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985877,0.0002295517,0.00004015044,0.0001659612,0.000004257441,0.000002336858,0.0001348845,9.492798e-7,0.0008342274],"genre_scores_gemma":[0.9995418,0.00008963884,0.00001058391,0.00002761936,0.000005626044,0.000001167895,0.00009429757,4.877712e-7,0.0002288796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04414199,"threshold_uncertainty_score":0.0877701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04387686274783686,"score_gpt":0.3099750220871914,"score_spread":0.2660981593393545,"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."}}