{"id":"W2020997080","doi":"10.1111/0008-4085.00059","title":"Monetary aggregates as indicators of economic activity in Canada: empirical evidence","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Economics; Monetary policy; Inflation (cosmology); Monetary economics; Welfare economics; Empirical evidence; Economy; Philosophy; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00125837,0.0004418023,0.001598496,0.002017439,0.0001022386,0.00006636968,0.001001078,0.0002611195,0.001555418],"category_scores_gemma":[0.0003818164,0.0006020057,0.0003415251,0.0002615089,0.0002117164,0.001145905,0.00004270417,0.0005847115,0.000121536],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00959525,"about_ca_system_score_gemma":0.007181281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962525,"about_ca_topic_score_gemma":0.9998236,"domain_scores_codex":[0.9958125,0.00006773463,0.002303421,0.0006140737,0.000003571006,0.001198746],"domain_scores_gemma":[0.9949004,0.00035348,0.00216839,0.0006457399,0.00003052608,0.001901434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002281103,0.00002660968,0.9161093,0.00005363862,0.0002576315,0.0003208641,0.0009136405,0.03072776,0.000003269405,0.04558493,0.0008645181,0.004909731],"study_design_scores_gemma":[0.003022793,0.001088004,0.6279963,0.0005467596,0.00007409159,0.001647722,0.0007509004,0.02267068,0.0004767728,0.3087226,0.0306821,0.002321279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891936,0.003300213,0.00001713216,0.002953752,0.001369643,0.0002729096,0.0004420861,0.000004081286,0.002446583],"genre_scores_gemma":[0.996816,0.001695465,0.0001271201,0.0006849366,0.0003642445,0.00001102161,0.00000906999,0.0000612228,0.0002309333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.288113,"threshold_uncertainty_score":0.9996431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2277620223759304,"score_gpt":0.2176292075544602,"score_spread":0.01013281482147016,"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."}}