{"id":"W1972863150","doi":"10.12989/was.2014.19.4.371","title":"Plotting positions and approximating first two moments of order statistics for Gumbel distribution: estimating quantiles of wind speed","year":2014,"lang":"en","type":"article","venue":"Wind and Structures","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Gumbel distribution; Quantile; Weibull distribution; Statistics; Mathematics; Order statistic; Position (finance); Covariance; Shape parameter; Extreme value theory","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":[0.002843299,0.0009131561,0.0005616139,0.001341011,0.0003872043,0.001214391,0.001102687,0.001098602,0.002364828],"category_scores_gemma":[0.01838794,0.0004567759,0.0006971502,0.001438688,0.0009253791,0.00143126,0.000734853,0.001391797,0.001055513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007871028,"about_ca_system_score_gemma":0.0009198853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00227271,"about_ca_topic_score_gemma":0.001812028,"domain_scores_codex":[0.9985079,0.0007190449,0.00006563579,0.0002205623,0.0003996336,0.00008724177],"domain_scores_gemma":[0.9941345,0.003874265,0.0005577383,0.0006350269,0.0007265491,0.00007200828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002064313,0.0000516279,0.004481405,0.0001884794,0.00005289165,0.0002022675,0.0003734601,0.732833,0.01335622,0.07580973,0.001944488,0.1704999],"study_design_scores_gemma":[0.00001129901,0.0000547574,0.001020899,0.00002647142,0.000011412,0.0000965044,0.00002955975,0.9761154,0.004843757,0.01538913,0.002371088,0.0000297389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005772319,0.00009059743,0.9932985,0.00003080841,0.00001362598,0.0000114264,0.00002376958,0.0002864984,0.0004724756],"genre_scores_gemma":[0.300565,0.0005470216,0.6961907,0.0000627774,0.00005377476,0.0001684571,0.0002281602,0.0002769803,0.001907116],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002843299,"threshold_uncertainty_score":0.015037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04124081250159518,"score_gpt":0.3247753014376546,"score_spread":0.2835344889360594,"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."}}