{"id":"W3042749471","doi":"10.46888/flobamora.v2i1.7","title":"Optimalisasi pendapatan asli daerah Provinsi Nusa Tenggara Timur","year":2019,"lang":"id","type":"article","venue":"FLOBAMORA","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Business; Agricultural science; Business administration; Environmental science","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":[0.001399198,0.0008399016,0.0006323318,0.00179542,0.001603863,0.002637313,0.0007532771,0.0005803154,0.02211877],"category_scores_gemma":[0.001337263,0.0003736136,0.000829396,0.002196601,0.0006321504,0.001024949,0.001167624,0.0006853763,0.002867393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002907979,"about_ca_system_score_gemma":0.004851044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03588702,"about_ca_topic_score_gemma":0.09311434,"domain_scores_codex":[0.9992329,0.0001740731,0.00004154329,0.0001746324,0.0002582213,0.0001185935],"domain_scores_gemma":[0.9994684,0.0001300729,0.00006926416,0.00004762722,0.0002294579,0.0000552516],"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":[0.001404446,0.0006690858,0.2062041,0.002936376,0.0005814748,0.001933927,0.01503055,0.01424027,0.02770233,0.04707783,0.02884592,0.6533737],"study_design_scores_gemma":[0.0001343743,0.001224146,0.4810812,0.001278296,0.0005954793,0.00109518,0.0352002,0.01400546,0.02590892,0.01435334,0.4248533,0.0002700921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6800879,0.006459143,0.03789077,0.002652909,0.0005989731,0.001030871,0.00741573,0.0008435308,0.2630202],"genre_scores_gemma":[0.8037738,0.003240254,0.05388765,0.0003677375,0.00009332121,0.0007599409,0.004559256,0.0002627447,0.1330554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03588702,"threshold_uncertainty_score":0.0739947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821957655964311,"score_gpt":0.1962979093920478,"score_spread":0.1780783328324047,"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."}}