{"id":"W1906912139","doi":"","title":"The role of real and nominal variables in defining business cycles: dynamic properties of a hybrid model - an alternative view","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Economics; Autoregressive model; Econometrics; Output gap; Shock (circulatory); Inflation (cosmology); Variable (mathematics); Vector autoregression; Impulse response; Function (biology); Economy; Macroeconomics; Monetary policy; Mathematics","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":[0.001034503,0.0004138306,0.0007061525,0.0006547759,0.0002432753,0.002650576,0.001011765,0.001197986,0.003578012],"category_scores_gemma":[0.00334979,0.0003124424,0.0009738485,0.00082993,0.0009482061,0.002349138,0.001074794,0.001199752,0.0004045948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006178227,"about_ca_system_score_gemma":0.0004545847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003872274,"about_ca_topic_score_gemma":0.002096439,"domain_scores_codex":[0.9996504,0.0001257943,0.00001838346,0.0001009988,0.00006491994,0.00003958384],"domain_scores_gemma":[0.9985671,0.0008881019,0.0002629083,0.0001160746,0.00009174942,0.00007393551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001148444,0.0000680704,0.007878715,0.0001219299,0.0001757437,0.0003041782,0.0004355835,0.3567036,0.001668064,0.6093593,0.001128358,0.02204165],"study_design_scores_gemma":[0.0000190649,0.00004072068,0.00138985,0.00001281894,0.00003323556,0.00008344225,0.0000676469,0.8266155,0.0001235606,0.1697483,0.001843497,0.00002233911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1556809,0.0007975092,0.8200053,0.002284616,0.0001342399,0.00006116695,0.0005191942,0.0001951667,0.02032207],"genre_scores_gemma":[0.9621292,0.0005870458,0.0292467,0.0001944755,0.0001326098,0.00008232539,0.0002428629,0.00005282158,0.007331941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003872274,"threshold_uncertainty_score":0.01196963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06579847440844509,"score_gpt":0.285534641626262,"score_spread":0.2197361672178169,"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."}}