{"id":"W3167794211","doi":"10.1061/9780784483466.023","title":"On Modeling of Extreme Rainfall Processes over a Wide Range of Time Scales","year":2021,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2021","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Gumbel distribution; Generalized extreme value distribution; Scaling; Extreme value theory; Range (aeronautics); Scale (ratio); Environmental science; Computer science; Statistics; Mathematics; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001230755,0.0001767479,0.0003152074,0.00005812506,0.0000898484,0.0000133665,0.0001361722,0.00006060048,0.01235736],"category_scores_gemma":[0.00001244252,0.0001312969,0.00009005321,0.000121791,0.0004492261,0.0001190561,0.0003005944,0.00009823038,0.0001625643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002441987,"about_ca_system_score_gemma":0.00000215282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009811201,"about_ca_topic_score_gemma":0.0003316915,"domain_scores_codex":[0.9987326,0.00007991919,0.0002980886,0.0003703635,0.0002841681,0.0002348651],"domain_scores_gemma":[0.999534,0.0000767276,0.00007458768,0.0002310192,0.000003084891,0.00008061686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003691532,0.0006682741,0.8320782,0.000134137,0.0002623473,0.0001311865,0.003736729,0.0663908,0.09290727,0.00001313585,0.0004291901,0.002879588],"study_design_scores_gemma":[0.01036233,0.0009161538,0.1566287,0.0009650849,0.001373554,0.0001159118,0.001707315,0.210393,0.5488703,0.01132811,0.05353055,0.003808995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926144,0.0005706289,0.00002934925,0.0001632287,0.00002020274,0.00007239571,0.00002189866,0.000006546333,0.006501348],"genre_scores_gemma":[0.9920598,0.0001906562,0.00009722667,0.0001629751,0.00001583722,0.000007668998,0.0000280782,0.00001385612,0.007423939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6754495,"threshold_uncertainty_score":0.9885455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007664028797019826,"score_gpt":0.1842461867410274,"score_spread":0.1765821579440076,"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."}}