{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.006476911,0.001374945,0.003014348,0.003648093,0.0009242193,0.001855354,0.004202972,0.0003441688,0.0005398887],"category_scores_gemma":[0.0004762008,0.001287933,0.001449452,0.007502905,0.000224013,0.003188395,0.002952707,0.0009804217,0.00040527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005153492,"about_ca_system_score_gemma":0.0001362379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435814,"about_ca_topic_score_gemma":0.001187249,"domain_scores_codex":[0.9896927,0.0003554026,0.003633512,0.001821209,0.002911829,0.001585289],"domain_scores_gemma":[0.9884373,0.000241088,0.006717339,0.003063296,0.001248494,0.0002924858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001798859,0.00464301,0.2556264,0.002728681,0.0733232,0.002283323,0.0007432224,0.0141936,0.0005906498,0.005465043,0.3946633,0.2439407],"study_design_scores_gemma":[0.003380433,0.0002693439,0.4313224,0.000558676,0.03508283,0.00002241106,0.001897612,0.0318129,0.0003160623,0.0002933167,0.4928565,0.002187535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9065796,0.006754744,0.05710873,0.006316699,0.003818389,0.00150203,0.0001889607,0.0001380347,0.01759284],"genre_scores_gemma":[0.9863017,0.004190212,0.002355668,0.002317634,0.002269502,0.00002075377,0.0005281515,0.0001476437,0.001868799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2417531,"threshold_uncertainty_score":0.9999001,"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."}}