{"id":"W1890122713","doi":"10.3968/j.css.1923669720070306.001","title":"Realized Volatility and Stylized Facts of Chinese Treasury Bond Market","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Economics; Volatility (finance); Treasury; Realized variance; Welfare economics; Financial economics; Geography; Keynesian 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009215664,0.00008856022,0.0003242723,0.000241328,0.0003503511,0.00007998786,0.0002335968,0.00006179994,0.001170325],"category_scores_gemma":[0.0002962206,0.00009274349,0.00007149607,0.0007550025,0.000486128,0.0002003926,0.00003436016,0.00009312537,0.000009736693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008275798,"about_ca_system_score_gemma":0.0001540216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1532033,"about_ca_topic_score_gemma":0.1829621,"domain_scores_codex":[0.9990379,0.000008289308,0.000308851,0.0002982821,0.00005509478,0.0002916449],"domain_scores_gemma":[0.9992089,0.00002479386,0.0001782298,0.0002087468,0.00006430601,0.0003150217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001089932,0.00001410229,0.8748902,0.00001823005,0.0000213815,0.00000215059,0.001137502,4.11484e-8,0.0006828888,0.1184678,0.001405843,0.003348949],"study_design_scores_gemma":[0.000295458,0.0000126424,0.9310044,0.000002172633,0.000004044973,0.000001550877,0.0002126425,0.001606091,0.00001101023,0.00866826,0.05799979,0.0001819169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7528403,0.00009515148,0.000009710574,0.0001727159,0.0001467019,0.00007655559,0.0002206152,0.000006155115,0.246432],"genre_scores_gemma":[0.9989377,0.000005468683,0.000126179,0.00004966652,0.00005687795,0.000003176789,0.000002648964,0.000005331083,0.0008129018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2460974,"threshold_uncertainty_score":0.9997427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390167519885819,"score_gpt":0.219220140635369,"score_spread":0.2053184654365108,"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."}}