{"id":"W2017408738","doi":"10.5539/ijef.v6n8p289","title":"Mergers Improve Efficiency of Malaysian Commercial Banks","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Merge (version control); Profitability index; Corporation; Business; Financial system; Banking industry; Economies of scale; Mergers and acquisitions; Order (exchange); Finance; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001621244,0.0001963481,0.0002818207,0.0008956933,0.0004423068,0.002187231,0.0002290647,0.0004839718,0.002350081],"category_scores_gemma":[0.008194782,0.0001562926,0.0002536674,0.001082585,0.0004871557,0.001013536,0.0009533091,0.0003263172,0.0006179214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154307,"about_ca_system_score_gemma":0.001250756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003867388,"about_ca_topic_score_gemma":0.005473834,"domain_scores_codex":[0.9980901,0.0006655675,0.000176072,0.0001635782,0.0004858201,0.0004189003],"domain_scores_gemma":[0.9945816,0.001405341,0.002119662,0.0003064891,0.001246694,0.0003401529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00180322,0.00122951,0.7259124,0.0003002328,0.000267612,0.001121116,0.004348424,0.03698475,0.01323639,0.01657274,0.005888773,0.1923348],"study_design_scores_gemma":[0.00007110897,0.0009312314,0.9501162,0.00009308189,0.00008266993,0.0004026263,0.004173995,0.01991745,0.007562052,0.004601429,0.01200169,0.00004662097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909931,0.0002422526,0.0005415325,0.0002449741,0.000004700908,0.0000224097,0.00005409069,0.000009909413,0.007886983],"genre_scores_gemma":[0.9988002,0.00009054378,0.0001778568,0.00002062888,0.000004080024,0.000004590428,0.00003423547,0.000001590733,0.0008663795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003867388,"threshold_uncertainty_score":0.01563066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689136524033169,"score_gpt":0.3096460795208874,"score_spread":0.2827547142805557,"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."}}