{"id":"W2018154220","doi":"10.1139/l08-052","title":"Assessment of overtopping reliability and benefits of a flood detention dam","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bivariate analysis; Hydrograph; Return period; Flood myth; Reliability (semiconductor); Surface runoff; Probabilistic logic; Environmental science; Joint probability distribution; Routing (electronic design automation); Hydrology (agriculture); Elevation (ballistics); Probabilistic analysis of algorithms; Statistics; Engineering; Geotechnical engineering; Mathematics; Geography; Structural engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002476379,0.0003923948,0.0002710892,0.001112611,0.0001603976,0.0003596231,0.0003937118,0.0003644895,0.0005675823],"category_scores_gemma":[0.009444476,0.0002627404,0.0003304705,0.0005355265,0.000464087,0.0007152584,0.0005525671,0.0003203468,0.00009117515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005370792,"about_ca_system_score_gemma":0.0003145333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001830707,"about_ca_topic_score_gemma":0.001999791,"domain_scores_codex":[0.9991943,0.0003154921,0.00004802047,0.00007152546,0.0002981069,0.00007247135],"domain_scores_gemma":[0.9917933,0.004905616,0.00157692,0.000547693,0.0009679682,0.0002084421],"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":[0.0006065061,0.00006260137,0.110122,0.00004350208,0.0001081977,0.0003196354,0.0001085284,0.851577,0.01100401,0.001346315,0.0001118373,0.02458995],"study_design_scores_gemma":[0.00001880287,0.0008819507,0.1356142,0.00001171338,0.0001002942,0.0003007013,0.0001477446,0.8524553,0.008540338,0.001588815,0.0002869959,0.00005317491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890727,0.00004842961,0.01025429,0.00002800694,0.000001280059,0.000009484981,0.00007587916,0.0000364115,0.0004733528],"genre_scores_gemma":[0.9988998,0.00001694996,0.0009583827,0.000001227211,0.000001161895,0.000002378402,0.00003808842,0.000002880148,0.00007911666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002476379,"threshold_uncertainty_score":0.01309651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007988910590556035,"score_gpt":0.184149271903988,"score_spread":0.1761603613134319,"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."}}