{"id":"W2018487610","doi":"10.1139/l01-010","title":"Design flood estimates in mountain streams the need for a geomorphic approach","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"STREAMS; Flood myth; Return period; Hydrology (agriculture); Watershed; Landslide; Debris; Streamflow; Environmental science; Debris flow; Extrapolation; 100-year flood; Geology; Snowmelt; Snow; Geomorphology; Drainage basin; Geography; Geotechnical engineering; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004204177,0.00009555385,0.0001273928,0.00009121353,0.00006660113,0.00004192778,0.0002144744,0.00005878414,0.0001946241],"category_scores_gemma":[0.00006657148,0.00006361594,0.00004961114,0.0002140415,0.00003179659,0.0001083511,0.000008610637,0.0001938299,0.000003886122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062862,"about_ca_system_score_gemma":0.00008151386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002003737,"about_ca_topic_score_gemma":0.02755874,"domain_scores_codex":[0.9993115,0.00001106647,0.0001952767,0.00007433246,0.00009846015,0.0003093499],"domain_scores_gemma":[0.9995645,0.00006695636,0.00005149226,0.00008485706,0.000009113991,0.0002231207],"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":[0.000008265759,0.000006307976,0.008343798,0.000005413119,0.00001642059,0.0000599493,0.0003232037,0.9897442,0.0002091995,0.0000363526,0.0005591054,0.0006878168],"study_design_scores_gemma":[0.0009161702,0.0001175133,0.01202915,0.0000871365,0.00003779932,0.0007008701,0.0002419063,0.9775715,0.0001344392,0.0004770294,0.007468417,0.0002180359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5030188,0.001773647,0.4883445,0.00130893,0.0005654881,0.0007039851,0.00001080226,0.00002369083,0.00425017],"genre_scores_gemma":[0.9975684,0.00002331897,0.002234778,0.00004086679,0.0000558135,0.000006438554,0.000001137796,0.00001550059,0.00005370887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4945497,"threshold_uncertainty_score":0.9901858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009966426329301128,"score_gpt":0.1790823834515493,"score_spread":0.1691159571222481,"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."}}