{"id":"W3120388739","doi":"10.3390/e23010070","title":"A Method for Confidence Intervals of High Quantiles","year":2021,"lang":"en","type":"article","venue":"Entropy","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Niagara College; Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Quantile; Estimator; Confidence interval; Mathematics; Statistics; Monte Carlo method; Econometrics; Applied mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01539206,0.001284197,0.001470007,0.00602894,0.0009125115,0.002845412,0.003110224,0.002047115,0.005790216],"category_scores_gemma":[0.10334,0.0007060189,0.001898913,0.003944431,0.002341895,0.003939052,0.00298814,0.005933035,0.001696795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032559,"about_ca_system_score_gemma":0.001598196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508609,"about_ca_topic_score_gemma":0.0006339448,"domain_scores_codex":[0.9870487,0.006476001,0.0006915423,0.001754543,0.003689657,0.0003396076],"domain_scores_gemma":[0.9436653,0.04295182,0.002313599,0.005170536,0.00537894,0.0005198865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001358735,0.0000697236,0.002363481,0.0003501694,0.0001936525,0.0002015273,0.0003903346,0.06133707,0.002888898,0.6320353,0.005092708,0.2949413],"study_design_scores_gemma":[0.0001102477,0.0001336129,0.001822815,0.0002907236,0.0001124318,0.0007228829,0.00008669587,0.4916256,0.005673925,0.4663863,0.0328739,0.0001609781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004086215,0.0002292666,0.9985971,0.00005932107,0.00005355533,0.00001401796,0.00003386343,0.0001550169,0.0004492949],"genre_scores_gemma":[0.06747925,0.0007250939,0.9284904,0.0002126063,0.0005611969,0.0003315329,0.0002878179,0.0003308174,0.001581371],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01539206,"threshold_uncertainty_score":0.08140194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05228949731194066,"score_gpt":0.2927307662319475,"score_spread":0.2404412689200068,"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."}}