{"id":"W2911029190","doi":"10.2139/ssrn.3297134","title":"Muddying the Waters: Who Induces Volatility in an Emerging Market?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Volatility (finance); Business; Economics; Monetary economics; Financial economics; Econometrics","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":[0.001605289,0.000129871,0.0004650335,0.0003386067,0.0006274807,0.002892923,0.0003684472,0.001222034,0.002824858],"category_scores_gemma":[0.0161776,0.0001539844,0.0002520889,0.0004032506,0.001480932,0.003159926,0.001003885,0.001582422,0.0002938588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004958343,"about_ca_system_score_gemma":0.0005688464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008072051,"about_ca_topic_score_gemma":0.0008712661,"domain_scores_codex":[0.999424,0.0002718192,0.00003099027,0.0000836992,0.0000942478,0.00009532422],"domain_scores_gemma":[0.9953247,0.00253008,0.000800317,0.000496152,0.0003109626,0.00053772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001211475,0.0004714218,0.1431105,0.0004273809,0.0003754821,0.00170496,0.006913126,0.005709078,0.01453848,0.5623426,0.02704821,0.2361474],"study_design_scores_gemma":[0.00009589506,0.0003922897,0.06329728,0.000186653,0.0002160439,0.0006546498,0.007503483,0.01632387,0.006152497,0.8789134,0.02616946,0.0000944404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137503,0.003561796,0.01357468,0.03138172,0.0006126247,0.00003192836,0.000138361,0.0001358301,0.03681283],"genre_scores_gemma":[0.9968762,0.0006903374,0.0005894211,0.0007718697,0.000168351,0.000004833294,0.00001202626,0.00002109406,0.0008657908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002892923,"threshold_uncertainty_score":0.009450138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351482681112418,"score_gpt":0.2494016272590744,"score_spread":0.2258868004479502,"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."}}