{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0005375728,0.00169592,0.002653398,0.003974003,0.001830722,0.0005100232,0.00252225,0.002232722,0.0008424319],"category_scores_gemma":[0.000177606,0.002276497,0.001540055,0.001492566,0.0006961513,0.002192072,0.0008244186,0.001738765,0.0005991507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002837423,"about_ca_system_score_gemma":0.000688387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003179369,"about_ca_topic_score_gemma":0.0008680644,"domain_scores_codex":[0.9936185,0.0003762498,0.00139697,0.002595865,0.0002899085,0.001722469],"domain_scores_gemma":[0.9939208,0.0007844407,0.002385755,0.001346815,0.000383166,0.001179011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002750083,0.001285223,0.8628924,0.0007231542,0.003214468,0.0005361924,0.008542558,0.0001524293,0.0003980054,0.1088166,0.009041646,0.001647148],"study_design_scores_gemma":[0.007722169,0.0007945565,0.632585,0.0008660409,0.001038944,0.00002987473,0.02415884,0.002493731,0.0009189474,0.0002467372,0.325069,0.004076154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9162582,0.0005460307,0.0003845631,0.001146586,0.002304158,0.0009631115,0.001301448,0.0002182983,0.07687759],"genre_scores_gemma":[0.94622,0.003220691,0.00008657562,0.0002345733,0.0004477343,0.000003274861,0.001375745,0.0001860887,0.04822533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3160274,"threshold_uncertainty_score":0.9995787,"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."}}