{"id":"W2160043559","doi":"10.5194/npg-16-503-2009","title":"Characterization of peak flow events with local singularity method","year":2009,"lang":"en","type":"article","venue":"Nonlinear processes in geophysics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Singularity; Power law; Flow (mathematics); Mathematics; Law; Flood myth; Exponent; Statistical physics; Statistics; Mathematical analysis; Physics; Geometry; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001219873,0.0004139825,0.0004699388,0.006817182,0.0002748703,0.0007605199,0.000463635,0.0002963188,0.001844596],"category_scores_gemma":[0.004804686,0.0001262724,0.0005141072,0.002581925,0.000383066,0.0008570338,0.0005889073,0.0004101707,0.0004356517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003517054,"about_ca_system_score_gemma":0.0002936434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00117356,"about_ca_topic_score_gemma":0.0008539972,"domain_scores_codex":[0.9994118,0.0001098599,0.00006964785,0.0001364815,0.0001993895,0.00007269168],"domain_scores_gemma":[0.9962931,0.00156569,0.0008840073,0.0003098287,0.0006626474,0.0002847121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007095816,0.0002086753,0.4639899,0.0004104439,0.0003080656,0.001736524,0.001096066,0.05960969,0.03679248,0.01726718,0.0040604,0.4138109],"study_design_scores_gemma":[0.00004202437,0.00040936,0.341405,0.00008488412,0.0001382039,0.002001236,0.0005270964,0.6232089,0.01186754,0.01453358,0.005639143,0.0001430345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5002602,0.000527309,0.4912686,0.00007813978,0.00004888897,0.0001515828,0.001049293,0.001329108,0.00528693],"genre_scores_gemma":[0.9528522,0.0001046633,0.04553053,0.00001734419,0.00004364214,0.00004634062,0.0007607366,0.00005980838,0.0005846866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006817182,"threshold_uncertainty_score":0.006451368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005693476349264535,"score_gpt":0.2438880088409538,"score_spread":0.2381945324916893,"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."}}