{"id":"W2548120509","doi":"","title":"ANALISIS EFISIENSI BANK UMUM SEBELUM DAN SETELAH KRISIS EKONOMI 2008 DENGAN MENGGUNAKAN METODE NON PARAMETRIK DATA ENVELOPMENT ANALYSIS (DEA)","year":2014,"lang":"id","type":"article","venue":"DJA : Diponegoro Journal of Management","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Bankruptcy; Stock exchange; Business; Financial system; Financial crisis; Population; Quarter (Canadian coin); Shareholder; Economics; Finance; Statistics; Corporate governance; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001626202,0.0005997379,0.0007030034,0.002109772,0.0003008644,0.002122277,0.0002402208,0.0004064968,0.004631138],"category_scores_gemma":[0.003793549,0.0002150454,0.000838469,0.002665643,0.0003058792,0.001512,0.0006612448,0.0006610271,0.001340576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008489228,"about_ca_system_score_gemma":0.0007431074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006035808,"about_ca_topic_score_gemma":0.004287933,"domain_scores_codex":[0.9990182,0.0002197491,0.0000889817,0.0001371308,0.0004328913,0.0001030267],"domain_scores_gemma":[0.9977087,0.001368404,0.0002085568,0.0001377548,0.0005296352,0.00004696268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001128007,0.0005649664,0.3479801,0.001981697,0.0006669888,0.0008459243,0.00332607,0.1143612,0.01380719,0.01222842,0.009058682,0.4940508],"study_design_scores_gemma":[0.00003938984,0.0008204778,0.6898139,0.0005853221,0.000453705,0.0007422158,0.01042612,0.2347108,0.02149984,0.008189972,0.03252149,0.0001966893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481703,0.002277041,0.0293632,0.0004554443,0.00007180532,0.00009463715,0.002951798,0.0001681477,0.01644756],"genre_scores_gemma":[0.985972,0.001248352,0.006593588,0.00002483232,0.0000140249,0.00006474491,0.001917302,0.00003499688,0.004130101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006035808,"threshold_uncertainty_score":0.01549268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857251919656519,"score_gpt":0.2207579619948035,"score_spread":0.2021854427982383,"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."}}