{"id":"W2162379874","doi":"","title":"An Uncertain Past: Data Revisions and Monetary Policy in Canada","year":2010,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Economics; Real gross domestic product; Subject (documents); Monetary policy; Monetary economics; Macroeconomics; Affect (linguistics); International economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.007250247,0.0002113505,0.0004355768,0.003662556,0.004171952,0.007506338,0.001178364,0.001203839,0.001620111],"category_scores_gemma":[0.06058297,0.0002531651,0.0002799127,0.01081492,0.002693929,0.001634926,0.000904056,0.001850903,0.0001766316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08609232,"about_ca_system_score_gemma":0.09322257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866203,"about_ca_topic_score_gemma":0.9871978,"domain_scores_codex":[0.9933736,0.0009321833,0.0004893838,0.0003981302,0.00411744,0.0006892558],"domain_scores_gemma":[0.9575914,0.009863935,0.00592788,0.0007307239,0.02418013,0.001705845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007386144,0.00006542098,0.2777573,0.001917323,0.0003910536,0.002055813,0.015311,0.01442387,0.000790266,0.09649895,0.1879713,0.4020792],"study_design_scores_gemma":[0.00008054164,0.00004496965,0.4924248,0.002303239,0.0003581016,0.0006521879,0.01107265,0.006940019,0.001375365,0.01454208,0.4699034,0.0003026622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3724441,0.3090813,0.001831634,0.1933204,0.002162547,0.00008814485,0.006120873,0.0001389805,0.1148121],"genre_scores_gemma":[0.906144,0.08129514,0.0008500476,0.00391277,0.0004147816,0.000009053987,0.0008650415,0.00004349343,0.006465705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08609232,"threshold_uncertainty_score":0.6246464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06113129151223012,"score_gpt":0.2557379441553728,"score_spread":0.1946066526431427,"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."}}