{"id":"W4312946690","doi":"10.14505/tpref.v5.2(10).01","title":"ANALYZING THE DYNAMICS OF GROSS DOMESTIC PRODUCT GROWTH. A MIXED FREQUENCY MODEL APPROACH","year":2014,"lang":"en","type":"article","venue":"Theoretical and Practical Research in Economic Fields","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Econometrics; State-space representation; Gross domestic product; Economics; Index (typography); Consumer price index (South Africa); Kalman filter; Exchange rate; Econometric model; Economic indicator; Real gross domestic product; Stock market index; Time series; Quarter (Canadian coin); Stock market; Statistics; Mathematics; Macroeconomics; Computer science; Monetary policy; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.007253131,0.0001727633,0.0005188407,0.0002605801,0.0001471836,0.0001056092,0.0003237358,0.0001842998,0.0002831878],"category_scores_gemma":[0.002635499,0.0001434808,0.00009353491,0.0001599244,0.001312251,0.0003089767,0.0002005509,0.0009399084,0.0001151961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428366,"about_ca_system_score_gemma":0.000056575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006697896,"about_ca_topic_score_gemma":0.00005095994,"domain_scores_codex":[0.9976901,0.0002614272,0.0007951623,0.0005431267,0.00005073121,0.0006594483],"domain_scores_gemma":[0.9965511,0.002561562,0.000157102,0.0005187105,0.00002063626,0.0001908942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008226264,0.00008419823,0.005185724,0.00006364453,0.0000301271,0.000001546534,0.000183097,0.001574197,0.000001860602,0.9917519,0.0001853026,0.0008561093],"study_design_scores_gemma":[0.0002048103,0.00007682769,0.0008787349,0.000006958592,0.000003352192,0.00001362091,0.00003251941,0.4719208,0.000009486888,0.5267206,0.00003654346,0.00009570191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.787154,0.0003866788,0.05444172,0.02903684,0.0001674911,0.0004775517,0.00009147999,0.00001880615,0.1282255],"genre_scores_gemma":[0.9967334,0.0004071202,0.002391998,0.0001496002,0.0001350272,0.0000350413,0.000009820179,0.00001937899,0.0001186233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4703467,"threshold_uncertainty_score":0.5850976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1133200743580801,"score_gpt":0.3413735793360805,"score_spread":0.2280535049780004,"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."}}