{"id":"W2621236582","doi":"","title":"ANALISIS DAMPAK KEJUTAN VARIABEL INTERNASIONAL MAKRO EKONOMI TERHADAP PERTUMBUHAN EKONOMI INDONESIA: MENGGUNAKAN VECTOR AUTOREGRESSION (VAR)","year":2013,"lang":"id","type":"dissertation","venue":"Andalas University eThesis (Andalas University)","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vector autoregression; Economics; Monetary economics","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":[0.001701543,0.0004801283,0.0005337892,0.0008344181,0.0004957358,0.002455477,0.0004766712,0.0003504156,0.005314826],"category_scores_gemma":[0.004140947,0.0002479628,0.0007032425,0.001725256,0.0004338113,0.001014358,0.0008801272,0.001243616,0.001163353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009296608,"about_ca_system_score_gemma":0.001160518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02606436,"about_ca_topic_score_gemma":0.02320537,"domain_scores_codex":[0.9990514,0.0003423009,0.00006147291,0.0002348779,0.0001879954,0.0001219433],"domain_scores_gemma":[0.9969092,0.001980214,0.0002885221,0.0001487978,0.0005414942,0.0001318456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004095093,0.0002900626,0.7645534,0.0004606508,0.0008586054,0.0008618138,0.008584949,0.01592286,0.003160057,0.009007744,0.008634926,0.1872554],"study_design_scores_gemma":[0.0000120481,0.0002105924,0.8872004,0.0002217543,0.0004735903,0.000274756,0.01387605,0.07200488,0.001807962,0.003945538,0.01988878,0.00008374375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519795,0.001544308,0.02406666,0.001934601,0.000190494,0.00007077533,0.002020545,0.000315124,0.01787793],"genre_scores_gemma":[0.9841924,0.000581139,0.003729846,0.00008940471,0.00003454572,0.00004135532,0.0008610567,0.00005260124,0.01041772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02606436,"threshold_uncertainty_score":0.05182528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562153345443862,"score_gpt":0.1869819103519537,"score_spread":0.1713603768975151,"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."}}