{"id":"W3189218262","doi":"","title":"Characterizing Business Cycles in Small Economies","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Economics; Monetary economics; Stylized fact; Business cycle; Current account; Gross domestic product; Volatility (finance); Emerging markets; Balance of trade; Exchange rate; Revenue; International economics; Fiscal policy; Consumption (sociology); Government spending; Small open economy; Terms of trade; Macroeconomics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000457377,0.0001624355,0.0002978403,0.001629266,0.0002405254,0.0008714835,0.0001860646,0.0001753721,0.001456871],"category_scores_gemma":[0.00602164,0.000118158,0.0002187229,0.001736067,0.0005035431,0.0007481477,0.0004456795,0.0002553595,0.0001547222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003909125,"about_ca_system_score_gemma":0.000360349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005765798,"about_ca_topic_score_gemma":0.005433173,"domain_scores_codex":[0.9998239,0.00004982795,0.00001289325,0.00006037519,0.00003234843,0.00002079812],"domain_scores_gemma":[0.9969236,0.00139224,0.001190635,0.0002019722,0.0001453707,0.0001461345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002180532,0.00008993641,0.738221,0.0002608792,0.0002360805,0.0004050859,0.001863001,0.07972976,0.004118116,0.05837624,0.002623271,0.1138586],"study_design_scores_gemma":[0.00002805411,0.0001235933,0.7857226,0.00009142737,0.00007209313,0.0003215131,0.001355932,0.0822383,0.001387162,0.1061332,0.02247375,0.00005245653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768221,0.0006808506,0.01385484,0.000199035,0.000009108763,0.00003727437,0.0009002454,0.000028217,0.007468288],"genre_scores_gemma":[0.9955472,0.0004627561,0.002453637,0.00002484895,0.00001546047,0.00003259114,0.0006634519,0.000007117313,0.0007929585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005765798,"threshold_uncertainty_score":0.01146448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04277887429590937,"score_gpt":0.2175843598167417,"score_spread":0.1748054855208323,"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."}}