{"id":"W2592363713","doi":"10.29244/jurnal_mpd.v9i1.27540","title":"STRATEGI MENINGKATKAN EFISINESI DAN EFEKTIVITAS KINERJA KEUANGAN PEMERINTAH KOTA BOGOR DALAM PENGELOLAAN APBD","year":2019,"lang":"en","type":"article","venue":"Jurnal Manajemen Pembangunan Daerah","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Revenue; Finance; Local government; Business; Government (linguistics); Decentralization; Investment (military); Analytic hierarchy process; Incentive; Economics; Microeconomics; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152276,0.0008706922,0.0005353826,0.0009398051,0.001040337,0.004977169,0.0005666231,0.0007166786,0.02186044],"category_scores_gemma":[0.001736455,0.000232814,0.0004244158,0.0008008414,0.0007343395,0.001764247,0.001589579,0.0009369538,0.003165633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002288602,"about_ca_system_score_gemma":0.004217179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006265451,"about_ca_topic_score_gemma":0.00883941,"domain_scores_codex":[0.9990399,0.0002941196,0.00006079463,0.0001030627,0.0003028733,0.0001992321],"domain_scores_gemma":[0.9990804,0.0003175452,0.0001095138,0.00005373784,0.0002712393,0.0001675829],"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":[0.0008384653,0.001075016,0.04561827,0.005061331,0.0002953064,0.001453152,0.005307529,0.01563863,0.01543108,0.07863732,0.02372135,0.8069225],"study_design_scores_gemma":[0.0002495284,0.001916906,0.1680638,0.004435028,0.00077673,0.002316114,0.0356795,0.03353721,0.02789588,0.07529848,0.6494848,0.0003460809],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5051215,0.02375474,0.03630883,0.0114557,0.0007501461,0.0008147311,0.001034002,0.0006982838,0.420062],"genre_scores_gemma":[0.9252656,0.008501583,0.0122124,0.0004224641,0.000077485,0.0002386331,0.0002876615,0.00007612296,0.05291808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02186044,"threshold_uncertainty_score":0.07313049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693765606912371,"score_gpt":0.2000674554084274,"score_spread":0.1831297993393037,"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."}}