{"id":"W6989227253","doi":"","title":"ANALISIS EFISIENSI BANK BUMN DENGAN MENGGUNAKAN PENDEKATAN STOCHASTIC FRONTIER ANALYSIS (SFA) PERIODE 2019-2021","year":2022,"lang":"en","type":"dissertation","venue":"UMM Institutional Repository (University of Maine at Machias)","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Quarter (Canadian coin); Stochastic frontier analysis; Bank account; Descriptive statistics; Frontier; Research Object","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003279913,0.0005035811,0.0009672771,0.0009832078,0.002537956,0.0001354845,0.0008414128,0.000250942,0.003878422],"category_scores_gemma":[0.00006589445,0.0006217139,0.000886069,0.002043997,0.0002191639,0.0008826024,0.0004339883,0.0004940574,0.00009967417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005922551,"about_ca_system_score_gemma":0.0003727547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01390247,"about_ca_topic_score_gemma":0.01431243,"domain_scores_codex":[0.9967808,0.00005826277,0.0005151641,0.0009374542,0.00131493,0.0003934597],"domain_scores_gemma":[0.9972076,0.00003660811,0.001509712,0.0006227759,0.0005655289,0.00005778261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.009806603,0.003564785,0.1791872,0.003074661,0.02852144,0.007360134,0.004898188,0.3107001,0.009631689,0.2877182,0.1438683,0.01166864],"study_design_scores_gemma":[0.00220945,0.0001079482,0.8164531,0.0002818398,0.01748859,0.00003644892,0.01267052,0.03558605,0.00007115918,0.0006146814,0.1118531,0.002627145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961781,0.001071744,0.001285128,0.000146309,0.001264816,0.0002920752,0.0002598308,0.00006690976,0.03383223],"genre_scores_gemma":[0.9633642,0.00006927353,0.0001491114,0.0001078503,0.0005336733,0.000003249852,0.007032726,0.00003330254,0.02870658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6372659,"threshold_uncertainty_score":0.9996234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00520170354573531,"score_gpt":0.1721252195663244,"score_spread":0.1669235160205891,"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."}}