{"id":"W2898833716","doi":"10.31092/jia.v2i1.107","title":"ARSITEKTUR DAN INFORMASI KINERJA: SUATU UPAYA MENINGKATKAN KUALITAS PENGANGGARAN INSTANSI PEMERINTAH (STUDI KASUS PADA BALAI DIKLAT KEUANGAN MAKASSAR)","year":2018,"lang":"en","type":"article","venue":"INFO ARTHA","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"Kementerian Keuangan Republik Indonesia","keywords":"Christian ministry; Government (linguistics); Agency (philosophy); Legislature; Work (physics); Accounting; Business; Political science; Engineering; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006619651,0.000505137,0.0004377318,0.0005679599,0.0006301045,0.0007271484,0.0006490995,0.0001615264,0.0007149955],"category_scores_gemma":[0.0001397,0.000480375,0.0001765601,0.001019887,0.000230155,0.002758084,0.0006725788,0.0002931229,0.0004534176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007478131,"about_ca_system_score_gemma":0.00002833216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003917836,"about_ca_topic_score_gemma":0.0007113792,"domain_scores_codex":[0.997371,0.00002686909,0.0007523222,0.0004954157,0.0006505011,0.0007039401],"domain_scores_gemma":[0.9982971,0.00003875607,0.0004778134,0.000675683,0.0004571769,0.00005346413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000518724,0.000537628,0.1826545,0.0009387269,0.0006683107,0.0001313856,0.004158982,0.0004273244,0.001175536,0.5259915,0.2276869,0.0551105],"study_design_scores_gemma":[0.001215727,0.0000889891,0.01296859,0.0001002163,0.000125349,0.000004202925,0.001281212,0.005546257,0.0005780829,0.0009200309,0.9763192,0.0008521223],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3188019,0.0001403673,0.009121679,0.00251225,0.001631139,0.001501193,0.000008059987,0.002221123,0.6640624],"genre_scores_gemma":[0.9848464,0.00005871723,0.002060205,0.005375663,0.001780874,0.00006299078,0.0002395606,0.00008269379,0.005492864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7486323,"threshold_uncertainty_score":0.9997648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593559364495786,"score_gpt":0.2323829953690365,"score_spread":0.2164474017240787,"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."}}