{"id":"W7099748055","doi":"","title":"Forecasting Canadian Time Séries with the New-Keynesian Model&amp;quot;, Working Papers","year":2005,"lang":"en","type":"article","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Economic forecasting; Government (linguistics)","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":[0.001241104,0.0004714783,0.0004463647,0.0009897966,0.001429905,0.002774621,0.0009917917,0.0008568518,0.005145996],"category_scores_gemma":[0.006523336,0.0003255035,0.0004057103,0.002231121,0.0004095669,0.001899547,0.0003829654,0.001027968,0.0005704878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02376354,"about_ca_system_score_gemma":0.01890047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9797391,"about_ca_topic_score_gemma":0.9809656,"domain_scores_codex":[0.9997293,0.00003186581,0.00001339715,0.00005890993,0.0001099466,0.00005655611],"domain_scores_gemma":[0.9985115,0.0002498902,0.00008971671,0.00009011803,0.0009220521,0.0001366627],"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":[0.0005980831,0.000100188,0.05780023,0.0002056729,0.0002015913,0.0002661353,0.0005256029,0.5294996,0.001363891,0.08264066,0.2018506,0.1249478],"study_design_scores_gemma":[0.00005763405,0.00002103339,0.03637633,0.00005724713,0.00007582884,0.00003016712,0.000425094,0.8646642,0.001799599,0.01974393,0.07665239,0.00009654555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6555058,0.01866128,0.09646598,0.05529822,0.003279716,0.0002009554,0.05467882,0.001555401,0.1143538],"genre_scores_gemma":[0.9406049,0.004566499,0.01488929,0.0002950519,0.0001763789,0.00002191906,0.007619713,0.0001612419,0.03166504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02376354,"threshold_uncertainty_score":0.1724173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09078931494399631,"score_gpt":0.1933945483917164,"score_spread":0.1026052334477201,"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."}}