{"id":"W2904236265","doi":"10.1111/caje.12618","title":"A large Canadian database for macroeconomic analysis","year":2022,"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":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Business cycle; Set (abstract data type); Dimension (graph theory); Economics; Data set; Econometrics; Panel data; Predictive power; Macroeconomics; Database; Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001846615,0.001056867,0.001179612,0.01734115,0.002959785,0.00364967,0.00216393,0.0007260349,0.04379428],"category_scores_gemma":[0.01681881,0.0004658174,0.0007525521,0.04358504,0.000394548,0.0008748361,0.001392757,0.001200013,0.01489802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02853851,"about_ca_system_score_gemma":0.08215575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9802071,"about_ca_topic_score_gemma":0.9795959,"domain_scores_codex":[0.9957283,0.0002447522,0.0004039566,0.0005156749,0.002589999,0.0005173107],"domain_scores_gemma":[0.9763678,0.001261544,0.001106501,0.00169414,0.01784507,0.001724881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001093106,0.00004501028,0.01333882,0.0004087715,0.00008064879,0.0001013278,0.000142147,0.001401472,0.0001671176,0.004703279,0.9418619,0.03764029],"study_design_scores_gemma":[0.00008473633,0.00001340862,0.09065271,0.0003114904,0.00007112374,0.00007448219,0.0003080601,0.00277709,0.0004833994,0.001295639,0.903779,0.0001489538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00286987,0.0005188869,0.0006706435,0.0003669001,0.00006376053,0.0001511047,0.9824851,0.0004034822,0.0124703],"genre_scores_gemma":[0.02456765,0.001578726,0.005070555,0.0002664769,0.00006879053,0.0005723264,0.9572443,0.0002089039,0.01042229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04379428,"threshold_uncertainty_score":0.2070624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1867800481658322,"score_gpt":0.1966933299878692,"score_spread":0.009913281822036962,"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."}}