{"id":"W3124329769","doi":"","title":"Factor Analysis of a Large DSGE Model","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Dynamic stochastic general equilibrium; Dynamic factor; Factor analysis; Econometrics; Factor (programming language); Sample (material); Principal component analysis; Economics; Space (punctuation); Index (typography); Quality (philosophy); Computer science; Macroeconomics; Monetary policy; Artificial intelligence","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":[0.003296749,0.0008532481,0.0008985119,0.001081931,0.0004331153,0.00237755,0.0008825803,0.001035134,0.003315415],"category_scores_gemma":[0.01487747,0.0004575752,0.001003352,0.001084457,0.00143533,0.001988556,0.001107855,0.001465986,0.0006336307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008909778,"about_ca_system_score_gemma":0.0006113709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004917977,"about_ca_topic_score_gemma":0.002411343,"domain_scores_codex":[0.9985209,0.0007907723,0.0000583888,0.0003511421,0.000192669,0.00008605456],"domain_scores_gemma":[0.9951113,0.003093497,0.0006109861,0.0005647352,0.0004540948,0.0001652885],"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":[0.00007575596,0.00003685191,0.006216887,0.000117177,0.0002248144,0.0002584652,0.0003482502,0.5791288,0.001220889,0.3919573,0.002576458,0.01783829],"study_design_scores_gemma":[0.00001399947,0.0000227256,0.001330968,0.00001759902,0.00002113456,0.00005418601,0.00004837381,0.8623516,0.000142593,0.1338347,0.002133006,0.0000290421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1028179,0.0005714875,0.888808,0.001261586,0.0001256569,0.00006529552,0.0004653863,0.0003110065,0.005573782],"genre_scores_gemma":[0.8849444,0.001227497,0.1045214,0.0002544922,0.0001778157,0.0001939429,0.0008271167,0.0001239465,0.007729405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004917977,"threshold_uncertainty_score":0.01743507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05974406913588498,"score_gpt":0.3097941569841907,"score_spread":0.2500500878483057,"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."}}