{"id":"W2286934501","doi":"10.14796/jwmm.r215-21","title":"Curve Numbers in Stormwater Runoff Simulation","year":2003,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Surface runoff; Stormwater; Runoff curve number; Environmental science; Hydrology (agriculture); Stormwater management; Geology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009861485,0.0001276696,0.0001737172,0.0001535613,0.00008722411,0.0000230745,0.0001611428,0.00003824098,0.0004178457],"category_scores_gemma":[0.000007426824,0.00008743315,0.00006859843,0.00009264488,0.0000331912,0.0004586471,0.0001355084,0.0001373665,0.0001583412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307833,"about_ca_system_score_gemma":0.000001010121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002027052,"about_ca_topic_score_gemma":0.00001972166,"domain_scores_codex":[0.9987413,0.00008615736,0.0004354433,0.0001617851,0.0002699013,0.00030542],"domain_scores_gemma":[0.9997362,0.00001014643,0.00008195356,0.0001209739,0.00001004314,0.00004061476],"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":[0.0000326879,0.00005724698,0.01833849,0.00001195424,0.00005202616,0.00006554011,0.0009831918,0.9797341,0.00009061999,0.00007570651,0.000201675,0.0003567579],"study_design_scores_gemma":[0.004212716,0.0002272287,0.004266715,0.0001182996,0.0002539532,0.00002116711,0.001673148,0.9144648,0.001411079,0.03121849,0.04135419,0.000778201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273809,0.00001982088,0.04753395,0.0003992079,0.0002850144,0.0001554514,1.213151e-7,0.00001065263,0.02421494],"genre_scores_gemma":[0.9968525,0.00004011251,0.001876668,0.0002445145,0.00002088466,0.000003173122,8.043222e-7,0.00001058434,0.0009507627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06947166,"threshold_uncertainty_score":0.4575118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642748969963471,"score_gpt":0.2371396439508333,"score_spread":0.2207121542511986,"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."}}