{"id":"W1581051415","doi":"10.1007/s00181-003-0172-6","title":"An empirical note about additive outliers and nonstationarity in Latin-American inflation series","year":2004,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Series (stratigraphy); Outlier; Econometrics; Inflation (cosmology); Economics; Latin Americans; Statistics; Mathematics; Geology; Physics; Philosophy; Theoretical physics","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":[0.006114853,0.0002632662,0.000640306,0.00132651,0.0008291135,0.003156823,0.0009523723,0.001165944,0.003324573],"category_scores_gemma":[0.04990046,0.0002252427,0.0008052533,0.003314117,0.002519023,0.002524323,0.001728881,0.002524834,0.000332552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020299,"about_ca_system_score_gemma":0.0005468808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004086602,"about_ca_topic_score_gemma":0.003304955,"domain_scores_codex":[0.9976941,0.0009592382,0.0002391917,0.000434679,0.0004673313,0.0002054659],"domain_scores_gemma":[0.9220181,0.06098919,0.009331088,0.004633295,0.00237051,0.0006579073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001183849,0.0002167462,0.7878341,0.0001572372,0.0007965245,0.001546325,0.003034755,0.01026494,0.003676474,0.09417289,0.004465966,0.09265026],"study_design_scores_gemma":[0.0001093894,0.0001980891,0.8028247,0.0001027047,0.0007432905,0.0009119557,0.005108493,0.03963871,0.002978769,0.1401772,0.007094919,0.0001116914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539792,0.002031836,0.02362802,0.008122231,0.0001419644,0.000008369119,0.0002713717,0.0001470941,0.01166988],"genre_scores_gemma":[0.9974937,0.0002926015,0.0009571784,0.0002173285,0.0002954979,0.000002179401,0.0001226078,0.0000238771,0.0005950686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006114853,"threshold_uncertainty_score":0.03233886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05774410709550137,"score_gpt":0.2959194010845525,"score_spread":0.2381752939890511,"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."}}