{"id":"W1493512190","doi":"","title":"State Space Model with Mixtures of Normals: Specifications and Applications to International Data","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Hodrick–Prescott filter; Outlier; Econometrics; Consumption (sociology); Economics; Decomposition; Business cycle; Consumption function; Series (stratigraphy); Filter (signal processing); Distribution (mathematics); State-space representation; State space; Mathematics; Statistics; Computer science; Production (economics); Macroeconomics; Geology","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":[0.01410032,0.001468805,0.002210729,0.002815332,0.000885923,0.003369398,0.003147026,0.002877203,0.008698735],"category_scores_gemma":[0.03910951,0.00119753,0.002915635,0.004843187,0.001375903,0.004799005,0.002457043,0.005007703,0.00184381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972876,"about_ca_system_score_gemma":0.001397923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01826914,"about_ca_topic_score_gemma":0.0152158,"domain_scores_codex":[0.9953939,0.002879836,0.0002721236,0.0007799798,0.0003975382,0.000276746],"domain_scores_gemma":[0.9792053,0.01569359,0.002065691,0.001814652,0.0009922914,0.0002285136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003076104,0.0001797493,0.01388695,0.0002185546,0.0003245042,0.0002519737,0.0005936667,0.6195133,0.0002874451,0.2883247,0.005291569,0.07082006],"study_design_scores_gemma":[0.0000357996,0.00003402807,0.001135067,0.0000269467,0.00002709262,0.00005360075,0.00006490504,0.8995411,0.0001050856,0.09643093,0.002511179,0.00003413494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03420816,0.0008462364,0.9595872,0.0008989654,0.0001051501,0.0001766544,0.002094673,0.0005872084,0.001495719],"genre_scores_gemma":[0.5535013,0.00282379,0.4186414,0.0003631572,0.0004411304,0.001466867,0.01257786,0.0004256327,0.00975882],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01826914,"threshold_uncertainty_score":0.07457048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1775611705130137,"score_gpt":0.3283917035301481,"score_spread":0.1508305330171344,"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."}}