{"id":"W2186213109","doi":"","title":"Pengaruh Utang Luar Negeri dan Fluktuasi Nilai Tukar Rupiah Terhadap Pertumbuhan Ekonomi Indonesia ( Studi Pada Bank Indonesia Tahun 2003-2013)","year":2015,"lang":"id","type":"article","venue":"Jurnal Administrasi Bisnis S1 Universitas Brawijaya","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign exchange; Debt; Quarter (Canadian coin); Population; Humanities; Welfare economics; Geography; Political science; Economics; Financial system; Demography; Finance; Monetary economics; Art; Sociology","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","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0009256548,0.001721458,0.002584971,0.00138169,0.001238852,0.0009439863,0.002210337,0.0012543,0.0002720325],"category_scores_gemma":[0.0002697663,0.002179342,0.0009267072,0.001631286,0.0009004067,0.002080401,0.0008199315,0.001895912,0.00170368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001959511,"about_ca_system_score_gemma":0.001494772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000790309,"about_ca_topic_score_gemma":0.0003085242,"domain_scores_codex":[0.9919895,0.0002607642,0.002630419,0.002194823,0.0004074328,0.002517049],"domain_scores_gemma":[0.9930945,0.0002671311,0.002096183,0.001552833,0.0004688173,0.002520504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008486514,0.001430601,0.87505,0.0002259644,0.001225289,0.0009880289,0.003616764,0.00007234002,0.0000927661,0.0270001,0.08829108,0.001158386],"study_design_scores_gemma":[0.01001202,0.00334921,0.5461883,0.0002553654,0.0006562538,0.0006708335,0.02423556,0.001341288,0.0005268099,0.000352671,0.4078917,0.004520002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9200026,0.004816848,0.0002098743,0.005695061,0.003431706,0.001076994,0.001074706,0.0002001483,0.06349204],"genre_scores_gemma":[0.9909306,0.001559204,0.0001450164,0.002139745,0.001416433,0.00002457975,0.0004241027,0.0002616631,0.003098674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3288617,"threshold_uncertainty_score":0.9995531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235852833933235,"score_gpt":0.2217143705327093,"score_spread":0.189355842193377,"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."}}