{"id":"W2029562596","doi":"10.1016/s0167-4730(01)00012-1","title":"The estimation of extreme quantiles of wind velocity using L-moments in the peaks-over-threshold approach","year":2001,"lang":"en","type":"article","venue":"Structural Safety","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Quantile; Skewness; Extreme value theory; Generalized Pareto distribution; Monte Carlo method; Statistics; Mathematics; Moment (physics); Order statistic; Pareto distribution; Shape parameter; Method of moments (probability theory); Statistical physics; 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":[0.002449038,0.0004279132,0.0008473796,0.001091245,0.0003846581,0.000997722,0.001263437,0.0007891047,0.001076774],"category_scores_gemma":[0.01205284,0.0006092135,0.0006564457,0.0009966589,0.0007191025,0.00132943,0.001141545,0.001268909,0.0002505716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004260494,"about_ca_system_score_gemma":0.0008537117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003736929,"about_ca_topic_score_gemma":0.002969577,"domain_scores_codex":[0.999326,0.0003416474,0.00003054895,0.00009731276,0.0000976845,0.0001069251],"domain_scores_gemma":[0.9932927,0.00535372,0.0005273685,0.000302266,0.0003087331,0.0002152847],"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":[0.0005346872,0.0001329025,0.02066154,0.0001195874,0.0002006979,0.0002787908,0.000238899,0.7590845,0.006226955,0.04835127,0.001319155,0.1628511],"study_design_scores_gemma":[0.00000908021,0.00002091157,0.00257335,0.000007110444,0.00000947388,0.00002600956,0.00002311211,0.9850034,0.0007022228,0.01146969,0.0001404184,0.00001523131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06944734,0.0001502518,0.9296543,0.0001436178,0.00000921197,0.00001119884,0.00007370178,0.0001520528,0.0003583755],"genre_scores_gemma":[0.9006094,0.000232479,0.09771585,0.00004478512,0.00006292886,0.00003430502,0.0002696189,0.00007765528,0.0009530885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003736929,"threshold_uncertainty_score":0.01295191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256880550471019,"score_gpt":0.2670116326162829,"score_spread":0.241323577569181,"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."}}