{"id":"W1539568852","doi":"10.1023/a:1011101700032","title":"Confidence Intervals of Quantiles in Hydrology Computed by an Analytical Method","year":2001,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Institut National d'Optique","funders":"","keywords":"Quantile; Quantile function; Confidence interval; Statistics; CDF-based nonparametric confidence interval; Estimator; Coverage probability; Mathematics; Confidence distribution; Confidence region; Robust confidence intervals; Confidence and prediction bands; Probability density function; Econometrics; Cumulative distribution function","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":[0.02930066,0.0009238085,0.001264744,0.004011514,0.0005646233,0.003134845,0.002194018,0.001698919,0.001868967],"category_scores_gemma":[0.147697,0.0007750911,0.001417976,0.002256932,0.002330823,0.002454796,0.002437083,0.002486618,0.0002593407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203347,"about_ca_system_score_gemma":0.001356059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002488917,"about_ca_topic_score_gemma":0.0009966424,"domain_scores_codex":[0.9913099,0.004853628,0.0005127873,0.001007977,0.001822171,0.0004936894],"domain_scores_gemma":[0.8259859,0.1514836,0.005552518,0.008316142,0.007703947,0.0009579122],"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":[0.0009425111,0.0001126045,0.01113816,0.0004391521,0.0004194309,0.0002243212,0.0005325645,0.7271209,0.004522746,0.1751629,0.001397214,0.07798753],"study_design_scores_gemma":[0.00007821824,0.0001252757,0.003647781,0.0001376002,0.000102998,0.0001185954,0.00007942969,0.935668,0.005173706,0.05346658,0.001334746,0.00006705269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03705654,0.0004729859,0.9610943,0.0001078908,0.00004091125,0.0000247708,0.0001037808,0.0003769804,0.0007217265],"genre_scores_gemma":[0.8041055,0.0006136813,0.1936069,0.0001122458,0.0001412211,0.0001432847,0.0004908313,0.0002778078,0.0005086061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02930066,"threshold_uncertainty_score":0.1549585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08328000088307935,"score_gpt":0.4140273488060496,"score_spread":0.3307473479229703,"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."}}