{"id":"W4390949655","doi":"10.54254/2754-1169/71/20241513","title":"Analysis of Hostile Merger: Evidence from Bao-Wan Controversy","year":2024,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Business; China; Boosting (machine learning); Industrial organization; Affect (linguistics); Political science; Computer science; Law; Psychology","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":[0.002857462,0.0001517257,0.0003309238,0.002371046,0.003571003,0.00285064,0.000851018,0.001419929,0.004709394],"category_scores_gemma":[0.009908533,0.0001462334,0.0002166634,0.002716365,0.002485397,0.003091853,0.001879979,0.001853366,0.0004070253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318322,"about_ca_system_score_gemma":0.0009546339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008168142,"about_ca_topic_score_gemma":0.009420279,"domain_scores_codex":[0.997881,0.0006999371,0.0001510157,0.0002554879,0.0005806054,0.0004318393],"domain_scores_gemma":[0.9866416,0.005823051,0.00448132,0.0006029424,0.001687872,0.0007631569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008017186,0.0006646246,0.7715368,0.0004848654,0.0002049285,0.009392807,0.08140574,0.0003276957,0.00177776,0.08428021,0.008867465,0.04025537],"study_design_scores_gemma":[0.00008403519,0.0002517134,0.7821059,0.0002808301,0.0002631254,0.00200303,0.1596984,0.002156904,0.001710796,0.01214177,0.03924075,0.00006274485],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980297,0.00110799,0.0001953426,0.001577594,0.00001735672,0.00001991159,0.00006549605,0.000002816831,0.01671643],"genre_scores_gemma":[0.9982863,0.0004973349,0.00005424612,0.0001911092,0.00004390003,0.000005970218,0.00008677521,0.000002488895,0.0008318421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008168142,"threshold_uncertainty_score":0.01624119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157323033573283,"score_gpt":0.2560692670477775,"score_spread":0.2403369636904492,"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."}}