{"id":"W6989269654","doi":"","title":"Analisis Tingkat Efisiensi Bank Pembiayaan Rakyat Syari’ah (Bprs) di Kota Yogyakarta Menggunakan Data Evelopment Analysis (Dea) Periode 2017","year":2019,"lang":"en","type":"other","venue":"UMS Library Center of Academic Activities (Universitas Surakarta)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Central bank; Data source; Panel data","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":[0.001681978,0.0003361162,0.0003222687,0.002765194,0.0004481368,0.001773568,0.0003118535,0.0002731632,0.006670293],"category_scores_gemma":[0.003701491,0.0001861805,0.0004481528,0.004905932,0.0002856255,0.000965421,0.0008228018,0.0007624908,0.001350815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582259,"about_ca_system_score_gemma":0.00200758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01455572,"about_ca_topic_score_gemma":0.0148488,"domain_scores_codex":[0.9986194,0.0002013328,0.0002221924,0.0001898548,0.0005497463,0.0002175354],"domain_scores_gemma":[0.995393,0.001308045,0.001181007,0.0002355884,0.00167512,0.0002072093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002966854,0.000156391,0.8881207,0.0006356133,0.0001657222,0.0007544698,0.003936104,0.002023646,0.001533807,0.004388142,0.01748971,0.08049901],"study_design_scores_gemma":[0.00001125086,0.00008428408,0.9449846,0.0002466316,0.00007888219,0.0002847133,0.01009078,0.002159157,0.002693784,0.0005762831,0.03876034,0.00002926638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526053,0.001100364,0.002101336,0.0009666334,0.00005798697,0.0001701467,0.01942717,0.00007129187,0.02349976],"genre_scores_gemma":[0.9622404,0.001385521,0.002058842,0.0001301275,0.00003158175,0.0002106228,0.01843929,0.00003287611,0.01547078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01455572,"threshold_uncertainty_score":0.02894199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814121886962563,"score_gpt":0.2490371148068183,"score_spread":0.2208958959371927,"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."}}