{"id":"W6987991399","doi":"","title":"VAR, SVAR and SVEC Models: Implementation Within R Package vars","year":2010,"lang":"en","type":"article","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vector autoregression; Impulse response; Variance decomposition of forecast errors; Error detection and correction; Error correction model; Set (abstract data type); Focus (optics); Error analysis","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":[0.003330441,0.001596731,0.001098077,0.001657054,0.0003830666,0.00171162,0.001947753,0.0009922009,0.03799118],"category_scores_gemma":[0.02205882,0.001031435,0.001726656,0.002149629,0.0004271352,0.001542108,0.001382216,0.002164681,0.02378631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004277733,"about_ca_system_score_gemma":0.001378246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004922557,"about_ca_topic_score_gemma":0.004504669,"domain_scores_codex":[0.9980121,0.001207122,0.0001464722,0.0002349099,0.0003005907,0.00009873352],"domain_scores_gemma":[0.9927289,0.00528053,0.0004780113,0.0007329741,0.0006829089,0.00009664094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003136157,0.0001326521,0.008187314,0.001362825,0.001004338,0.0004297724,0.0003727684,0.2426453,0.001899357,0.107223,0.300565,0.3358641],"study_design_scores_gemma":[0.0001887284,0.0001298585,0.005074617,0.0002983998,0.000239229,0.0005889217,0.0001316612,0.6294384,0.003844672,0.1590266,0.2008465,0.0001924052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003853284,0.0007564879,0.9444678,0.0006900696,0.000204626,0.000147458,0.01820979,0.02667572,0.004994871],"genre_scores_gemma":[0.09343927,0.001324107,0.8484331,0.0003289863,0.0002963655,0.001269457,0.02349558,0.02060343,0.0108097],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03799118,"threshold_uncertainty_score":0.1270932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07355557331242739,"score_gpt":0.248481977604268,"score_spread":0.1749264042918406,"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."}}