{"id":"W3080784291","doi":"10.3133/sir20205065","title":"Flood-frequency estimation for very low annual exceedance probabilities using historical, paleoflood, and regional information with consideration of nonstationarity","year":2020,"lang":"en","type":"article","venue":"Scientific investigations report","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; U.S. Nuclear Regulatory Commission","keywords":"Flood myth; Streamflow; Hydrology (agriculture); Magnitude (astronomy); 100-year flood; Geology; Environmental science; Climatology; Physical geography; Geography; Cartography; Drainage basin; Archaeology","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":[0.001704536,0.0003183035,0.0002428086,0.003856763,0.0002675701,0.0007305006,0.0003517488,0.0002378277,0.00254374],"category_scores_gemma":[0.007176359,0.0001894754,0.0004021571,0.002404655,0.0001039188,0.0006849075,0.0007252317,0.0002917881,0.000913777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004261638,"about_ca_system_score_gemma":0.0005636888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01347815,"about_ca_topic_score_gemma":0.02344786,"domain_scores_codex":[0.9995095,0.00009989823,0.00007383637,0.0001438086,0.0001192938,0.00005369964],"domain_scores_gemma":[0.9978289,0.0008897452,0.0003561373,0.0002924322,0.0005553422,0.00007740963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001548695,0.00006733592,0.7014422,0.00009742255,0.0001805034,0.000254826,0.0003929395,0.04670406,0.002668318,0.002457887,0.01183963,0.2337401],"study_design_scores_gemma":[0.00001413701,0.00005550661,0.7224897,0.0000671928,0.00005871882,0.0002348498,0.0005317766,0.2579576,0.002469949,0.003700907,0.01236654,0.00005322946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.743398,0.0002529717,0.2119786,0.000219976,0.00003820799,0.000211516,0.02736657,0.001537092,0.01499702],"genre_scores_gemma":[0.9137406,0.0001296086,0.0650055,0.00002649171,0.00002760529,0.0001570527,0.01899197,0.00009662663,0.001824658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01347815,"threshold_uncertainty_score":0.02679944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860266145656289,"score_gpt":0.2252387753019524,"score_spread":0.1966361138453895,"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."}}