{"id":"W2259863159","doi":"10.1017/s1365100516000614","title":"AGENCY COSTS, RISK SHOCKS, AND INTERNATIONAL CYCLES","year":2017,"lang":"en","type":"article","venue":"Macroeconomic Dynamics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada; McMaster University","funders":"","keywords":"Economics; Business cycle; Volatility (finance); Investment (military); Consumption (sociology); Monetary economics; Econometrics; Uncorrelated; Agency (philosophy); Macroeconomics","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":[0.001323587,0.001232251,0.001249834,0.001060168,0.0007152522,0.005221857,0.001625971,0.003271772,0.01227022],"category_scores_gemma":[0.006706604,0.0007584695,0.001580211,0.00163832,0.001556126,0.004682107,0.001857449,0.002750121,0.0008699073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002531268,"about_ca_system_score_gemma":0.001346806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009832994,"about_ca_topic_score_gemma":0.005334219,"domain_scores_codex":[0.9991572,0.0003280918,0.00005606319,0.0001434443,0.0001298511,0.0001853401],"domain_scores_gemma":[0.9975349,0.0008970533,0.0008575144,0.0002567258,0.0001854388,0.0002684643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009303778,0.000124274,0.003364801,0.00005503423,0.0001016836,0.0002625255,0.00009165084,0.586918,0.0003130359,0.3967591,0.002916484,0.009000412],"study_design_scores_gemma":[0.0001303922,0.0001132774,0.002140695,0.00005020383,0.0001231233,0.0002017351,0.00009562722,0.7654887,0.0001647221,0.2228346,0.008584736,0.00007214585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.48435,0.003814753,0.3070958,0.0144679,0.0006338413,0.0004129575,0.002693323,0.0006021397,0.1859293],"genre_scores_gemma":[0.9593202,0.001773774,0.007260829,0.0003857374,0.0001735217,0.0001830717,0.0003624214,0.00004671413,0.03049376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01227022,"threshold_uncertainty_score":0.04104793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03967064470358243,"score_gpt":0.250144520115676,"score_spread":0.2104738754120935,"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."}}