{"id":"W2761730237","doi":"10.5539/ijef.v11n12p117","title":"Financial Structure and Macroeconomic Volatility: A Panel Data Analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Volatility (finance); Bond market; Diversification (marketing strategy); Capital market; Financial system; Financial market; Monetary economics; Finance; European union; Indirect finance; Panel data; Stock market; Business; International economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002063934,0.0004032431,0.0006803462,0.001688763,0.0004675103,0.001190305,0.0006434157,0.0009446362,0.00394952],"category_scores_gemma":[0.004252919,0.0003070945,0.001604555,0.003292909,0.0002991639,0.0006212001,0.0008320632,0.001739385,0.001113441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00054696,"about_ca_system_score_gemma":0.000469616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02601418,"about_ca_topic_score_gemma":0.02285557,"domain_scores_codex":[0.9988531,0.0004501298,0.00007760646,0.000216689,0.0001571107,0.0002454537],"domain_scores_gemma":[0.994494,0.00238045,0.001749293,0.0005719381,0.0004067156,0.0003975108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003216235,0.0003004106,0.9717681,0.00005287705,0.001196234,0.0002708202,0.0001774464,0.008516834,0.0003063015,0.0009365082,0.007251905,0.008900876],"study_design_scores_gemma":[0.00002889031,0.0001413552,0.985857,0.00002338565,0.0002643115,0.0001145923,0.0002901255,0.009882738,0.0002868401,0.0004519299,0.002629961,0.00002881098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974643,0.0005556815,0.001666344,0.0003883976,0.00003604422,0.00003854491,0.02044776,0.00004388244,0.002180398],"genre_scores_gemma":[0.9567384,0.000346522,0.000830971,0.00008649841,0.00005268415,0.00005361812,0.04063538,0.00001249367,0.001243417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02601418,"threshold_uncertainty_score":0.05172551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295247990013686,"score_gpt":0.2341746441158769,"score_spread":0.2112221642157401,"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."}}