{"id":"W3125870520","doi":"","title":"An Investigation into the Use of Mergers as a Solution for the Asian Banking-Sector Crisis","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Financial system; Bankruptcy; Business; Bank run; Currency; Financial crisis; Debt; Merge (version control); Asset (computer security); Currency crisis; Bank rate; Exchange rate; Monetary economics; Economics; Finance; Market liquidity; Central bank; Monetary policy; Macroeconomics","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":[0.003848735,0.0002985075,0.0003276324,0.0008619783,0.001149127,0.002582273,0.0006127345,0.002014889,0.002647766],"category_scores_gemma":[0.01429666,0.0001891558,0.0004425517,0.001185502,0.001506135,0.001795681,0.001088696,0.001257279,0.0002097382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447933,"about_ca_system_score_gemma":0.001992725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003497215,"about_ca_topic_score_gemma":0.005000574,"domain_scores_codex":[0.9973844,0.001808774,0.00008294376,0.0001038006,0.0003077643,0.000312391],"domain_scores_gemma":[0.9874834,0.006645157,0.004336992,0.0003263277,0.0007000298,0.0005081936],"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":[0.00243253,0.002791288,0.2871771,0.001289376,0.0005078671,0.005755779,0.01368382,0.02639124,0.006672355,0.3788166,0.01457617,0.2599059],"study_design_scores_gemma":[0.001163171,0.00744687,0.5181964,0.001609034,0.00146291,0.005694367,0.07583912,0.1096459,0.01750606,0.131893,0.129318,0.0002252039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352971,0.003134825,0.00359278,0.008892551,0.00006969932,0.0002530268,0.0000743442,0.0000590854,0.04862654],"genre_scores_gemma":[0.9965258,0.001079472,0.0006257566,0.0003153603,0.00004270605,0.00002540245,0.00001290896,0.000003617452,0.001369015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003848735,"threshold_uncertainty_score":0.02035427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972112220097172,"score_gpt":0.2396672457475004,"score_spread":0.2099461235465287,"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."}}