{"id":"W2922425729","doi":"","title":"A simple approach to nowcasting GDP growth in CESEE economies","year":2018,"lang":"en","type":"article","venue":"Focus on European economic integration","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nowcasting; Quarter (Canadian coin); Econometrics; Economics; Benchmark (surveying); Autoregressive model; Lag; Sample (material); Real gross domestic product; Distributed lag; Macroeconomics; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002292258,0.0005916897,0.0004927534,0.003467278,0.0003162327,0.001712612,0.0006720809,0.0006083272,0.003056025],"category_scores_gemma":[0.0144478,0.0002517709,0.0009263637,0.003221524,0.0002693358,0.001317921,0.0008147656,0.001056546,0.0006287897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005120934,"about_ca_system_score_gemma":0.0009717617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241606,"about_ca_topic_score_gemma":0.02954064,"domain_scores_codex":[0.9993018,0.0002322963,0.00007323719,0.0001631521,0.0001724726,0.00005702505],"domain_scores_gemma":[0.9959574,0.001940134,0.0008255614,0.0006304394,0.0005482098,0.00009835338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006527706,0.0004082012,0.3653498,0.0003044751,0.001019492,0.0003690816,0.001202298,0.303728,0.006004557,0.04350929,0.01232325,0.2651289],"study_design_scores_gemma":[0.0001170296,0.0004802414,0.3289684,0.0001362324,0.0002842948,0.0001930684,0.001211032,0.6042279,0.009525158,0.03369858,0.02095799,0.0001999673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.794356,0.0005901646,0.1752698,0.001224058,0.0002393261,0.0003642784,0.01402995,0.001016205,0.01291026],"genre_scores_gemma":[0.9336138,0.0004305264,0.05332234,0.00009594257,0.0001055305,0.0001709247,0.009909836,0.00005271332,0.002298362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02241606,"threshold_uncertainty_score":0.04457116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06688973502141136,"score_gpt":0.2299499117500526,"score_spread":0.1630601767286413,"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."}}