{"id":"W7099670139","doi":"","title":"Forecasting with the New-Keynesian Model: An Experiment with Canadian Data”, manuscript","year":2005,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"New Keynesian economics; Econometric model; Economic forecasting; Estimation","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":[0.009317431,0.0004536808,0.0006500509,0.0005513264,0.001203514,0.001416624,0.001455829,0.0007860418,0.003100994],"category_scores_gemma":[0.03343649,0.0002211166,0.0004544409,0.001641716,0.0008988621,0.001760586,0.0006132351,0.00127712,0.0002605156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006336858,"about_ca_system_score_gemma":0.005858439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8214865,"about_ca_topic_score_gemma":0.7945772,"domain_scores_codex":[0.9987537,0.0005992939,0.00005541856,0.0001930667,0.0002865842,0.00011208],"domain_scores_gemma":[0.9884408,0.008142435,0.0003691649,0.001119496,0.001708521,0.0002196375],"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":[0.003460812,0.0004437749,0.06247996,0.0003663709,0.0005796596,0.0004326117,0.001793616,0.6858006,0.001648647,0.0664927,0.03018359,0.1463177],"study_design_scores_gemma":[0.0003039752,0.0002034532,0.01757246,0.00003030341,0.0001053896,0.00004822691,0.0005366981,0.9548502,0.001594134,0.01295026,0.01170886,0.00009611191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472048,0.001364809,0.0291619,0.00594798,0.0002627987,0.0001408915,0.002941279,0.0004294958,0.01254607],"genre_scores_gemma":[0.9791669,0.0005570723,0.01562376,0.0002340647,0.00003845011,0.00002304285,0.001453336,0.0000429309,0.002860535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1785135,"threshold_uncertainty_score":0.3591295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05843503623388306,"score_gpt":0.2320940506890498,"score_spread":0.1736590144551667,"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."}}