{"id":"W1985485942","doi":"10.1016/j.econlet.2013.08.005","title":"Characterizing Very High Uncertainty Episodes","year":2013,"lang":"en","type":"article","venue":"Economics Letters","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Economics; Econometrics; Financial market; Stock (firearms); Financial economics; Finance; Geography","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":[0.0007922148,0.0003466582,0.0005648246,0.001421567,0.0005241482,0.002182732,0.0004991341,0.001145272,0.001616327],"category_scores_gemma":[0.009346464,0.000325591,0.0003332978,0.0009603135,0.0005287683,0.001862693,0.001037672,0.001163703,0.000172273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004732048,"about_ca_system_score_gemma":0.0002284274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091022,"about_ca_topic_score_gemma":0.0007288998,"domain_scores_codex":[0.9995869,0.00008819101,0.00002630492,0.00008219593,0.00009855942,0.0001178898],"domain_scores_gemma":[0.9964138,0.002176252,0.0006838072,0.0002623521,0.0001757677,0.0002880201],"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":[0.001691229,0.0004774714,0.219938,0.0001880852,0.0006381284,0.005924441,0.001407739,0.4545612,0.03307547,0.1713714,0.009290626,0.1014363],"study_design_scores_gemma":[0.00001804463,0.0000661118,0.04137311,0.00001846344,0.00004431224,0.000781228,0.0002520891,0.8916593,0.002769366,0.06152545,0.001448552,0.00004389944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9268962,0.0006170477,0.06639418,0.0005415147,0.00007004883,0.00002838971,0.0003432294,0.0002312563,0.00487817],"genre_scores_gemma":[0.9981272,0.00006600495,0.001365831,0.00002257173,0.00004668861,0.000004255214,0.0001288821,0.00001449667,0.0002242111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002182732,"threshold_uncertainty_score":0.005407155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139218055469091,"score_gpt":0.1790695586011326,"score_spread":0.1651477530542235,"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."}}