{"id":"W1983199891","doi":"10.1002/env.555","title":"Bootstrap simulations for evaluating the uncertainty associated with peaks‐over‐threshold estimates of extreme wind velocity","year":2003,"lang":"en","type":"article","venue":"Environmetrics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Quantile; Parametric statistics; Statistics; Generalized Pareto distribution; Extreme value theory; Econometrics; Mathematics; Wind speed; Variance (accounting); Selection (genetic algorithm); Parametric model; Computer science; Meteorology; Economics; Physics","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":[0.005912081,0.0003894629,0.000538658,0.001033093,0.0003495442,0.0004421358,0.0006760934,0.0009272617,0.0008528637],"category_scores_gemma":[0.02502188,0.000258286,0.0004659618,0.0007642396,0.0006012975,0.0006721132,0.0006400601,0.0008709627,0.0001223657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004973818,"about_ca_system_score_gemma":0.0003294924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003460939,"about_ca_topic_score_gemma":0.002402922,"domain_scores_codex":[0.9987691,0.0008351137,0.00005129301,0.00007016448,0.000192866,0.0000814156],"domain_scores_gemma":[0.959303,0.03647215,0.001416262,0.001064232,0.001458877,0.0002855035],"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":[0.00032583,0.00006793558,0.008003364,0.00005489626,0.00005578639,0.0001198146,0.0001002747,0.9737629,0.001153259,0.005543557,0.0003664251,0.010446],"study_design_scores_gemma":[0.00001348839,0.00006000163,0.001441266,0.00001011974,0.000005850678,0.00001533659,0.00002810356,0.9957349,0.0008226411,0.0017649,0.00009550177,0.000007832485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8450521,0.000285408,0.1521436,0.0001618987,0.0000261082,0.0000656737,0.0002538578,0.0002676518,0.001743731],"genre_scores_gemma":[0.9858177,0.00004467166,0.01377069,0.00001327972,0.000005286964,0.00004344911,0.0001661323,0.00002036708,0.0001184002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005912081,"threshold_uncertainty_score":0.03126645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0654963742563947,"score_gpt":0.3002978167599978,"score_spread":0.2348014425036031,"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."}}