{"id":"W2473266963","doi":"","title":"Evolution of Canadian Business Cycle with Terms of Trade","year":2016,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Economics; Boom; Small open economy; Commodity; Terms of trade; Open economy; Macroeconomics; International trade; Monetary economics; International economics; Monetary policy; Market economy; Exchange rate; Engineering","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":[0.0005148957,0.0002716121,0.0002617378,0.001466051,0.001369744,0.003033282,0.0004565472,0.0005148276,0.00351631],"category_scores_gemma":[0.004835567,0.0001905897,0.0004762189,0.002618913,0.0006399106,0.0009078736,0.0004146579,0.0007271636,0.0002469829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03928884,"about_ca_system_score_gemma":0.01632566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855165,"about_ca_topic_score_gemma":0.97949,"domain_scores_codex":[0.9996645,0.00003166919,0.000009033295,0.00006488558,0.0001367336,0.00009313419],"domain_scores_gemma":[0.9985875,0.0002083693,0.0001733525,0.00005216098,0.0008013379,0.000177297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005223336,0.00009318678,0.2880901,0.0001662063,0.0001850611,0.0006879027,0.002265092,0.3253043,0.004423374,0.2775568,0.03598692,0.06471883],"study_design_scores_gemma":[0.00008190477,0.00006159768,0.4597173,0.0001031656,0.0001374665,0.0002080814,0.001788599,0.4088201,0.001261477,0.02928825,0.09830076,0.0002314726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9002061,0.001976135,0.004775116,0.005401017,0.00009784073,0.0000520806,0.00849705,0.0001940342,0.07880059],"genre_scores_gemma":[0.9895486,0.0008076694,0.0008639312,0.0001288999,0.0000123221,0.00000804104,0.001211106,0.00002307082,0.007396466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03928884,"threshold_uncertainty_score":0.2850618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254819230091371,"score_gpt":0.1632795254547041,"score_spread":0.1407313331537904,"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."}}