{"id":"W2197536503","doi":"10.2495/risk020181","title":"Risk Assessment Using A Generalized Pareto-based Bivariate Model","year":2002,"lang":"en","type":"article","venue":"WIT transactions on modelling and simulation","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generalized Pareto distribution; Bivariate analysis; Joint probability distribution; Variable (mathematics); Statistics; Probabilistic logic; Pareto principle; Mathematics; Flood myth; Random variable; Duration (music); Econometrics; Extreme value theory; Geography; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003422029,0.0009773085,0.001103675,0.001632653,0.0004851625,0.002035326,0.001461984,0.001135127,0.003073283],"category_scores_gemma":[0.006991606,0.0004253663,0.001264264,0.001654041,0.001048798,0.001661,0.001622716,0.001409323,0.0005248632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381807,"about_ca_system_score_gemma":0.001482673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038865,"about_ca_topic_score_gemma":0.00612373,"domain_scores_codex":[0.9985752,0.0007352971,0.00004560949,0.0001816584,0.0002928611,0.000169364],"domain_scores_gemma":[0.9976488,0.001548127,0.0002214339,0.000123805,0.0003369337,0.0001208702],"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":[0.00002243256,0.00002023836,0.0007603962,0.00001686594,0.00002990397,0.00006374915,0.00003665316,0.9341504,0.000208928,0.05862544,0.0004753025,0.005589635],"study_design_scores_gemma":[0.000004282611,0.00001275007,0.0001104636,0.000003961244,0.000007393736,0.00001401532,0.00000900558,0.9844243,0.00002671007,0.01512829,0.0002530508,0.000005945636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0371961,0.0002512943,0.9551274,0.0004942105,0.00003948205,0.00004900699,0.0002752143,0.0001523311,0.006414914],"genre_scores_gemma":[0.9049382,0.001094505,0.08118325,0.0002227049,0.0001198658,0.0002528926,0.0004661283,0.00008078122,0.0116417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01038865,"threshold_uncertainty_score":0.02065635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04381680676980096,"score_gpt":0.2720607619386327,"score_spread":0.2282439551688317,"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."}}