{"id":"W4390289799","doi":"10.2478/ijme-2023-0021","title":"The global cross-border mergers and acquisitions network between 1990 and 2021","year":2023,"lang":"en","type":"article","venue":"International Journal of Management and Economics","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Intermediary; Social network analysis; Mergers and acquisitions; Centrality; Business; Global network; International trade; Economic geography; Economy; Economics; Finance; Social capital; Telecommunications; Geography; Political science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004386837,0.00009985446,0.0001213947,0.0001273739,0.0002330651,0.0009062265,0.0001925231,0.00002933164,0.00006584314],"category_scores_gemma":[0.00002089682,0.00008029893,0.00004659013,0.0001119481,0.00009154722,0.0007482538,0.0003354018,0.0000633825,0.00002586891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003241366,"about_ca_system_score_gemma":0.000006089926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003399637,"about_ca_topic_score_gemma":0.00002810866,"domain_scores_codex":[0.9992694,0.000004050139,0.0003218122,0.0001233964,0.000131677,0.0001496264],"domain_scores_gemma":[0.9994283,0.00006096268,0.0002668646,0.00005593834,0.000170543,0.0000173906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001452252,0.0000198898,0.467422,0.00003343064,0.0009548177,0.00004708801,0.00002567311,0.003510054,9.219881e-7,0.3992632,0.01237151,0.1162062],"study_design_scores_gemma":[0.000611453,0.000006336885,0.60598,0.0000339604,0.00005755836,0.00001036464,0.0001338912,0.004028075,2.758954e-7,0.03531316,0.3537142,0.0001107389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780682,0.0003313052,0.0002395265,0.007413993,0.001448493,0.00007653019,0.00001177647,0.00001204205,0.01239816],"genre_scores_gemma":[0.9918677,0.003340299,0.0001329906,0.0008044309,0.00297879,0.000003522518,0.00002309888,0.00001034961,0.0008387719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.36395,"threshold_uncertainty_score":0.8738763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150776159065226,"score_gpt":0.2896519780201673,"score_spread":0.278144216429515,"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."}}