{"id":"W2811174308","doi":"10.14796/jwmm.c451","title":"Evaluating Storm Water Management Model Accuracy in Conditions of Mixed Flows","year":2018,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storm; Stormwater; Environmental science; Stormwater management; Flow (mathematics); Meteorology; Hydrology (agriculture); Mechanics; Surface runoff; Geology; Geotechnical engineering; Geography; Physics","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":[0.001648715,0.000248162,0.0003400995,0.000426836,0.0001566789,0.00006291983,0.0005961891,0.00004964689,0.0006638283],"category_scores_gemma":[0.000004887753,0.0001647558,0.0001585208,0.0001699697,0.00007188996,0.0008122041,0.000893095,0.0001807076,0.000119289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000213819,"about_ca_system_score_gemma":0.00000429195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002265279,"about_ca_topic_score_gemma":0.00005925851,"domain_scores_codex":[0.9970322,0.00008727478,0.001100763,0.0003299257,0.0009026633,0.0005472067],"domain_scores_gemma":[0.9992381,0.00001332609,0.0002378076,0.0003744846,0.00004506129,0.00009123055],"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":[0.00009136356,0.000259645,0.0004022354,0.00009535279,0.0001736311,0.00004174533,0.001284087,0.9800771,0.01096461,0.0003020592,0.0005405999,0.00576759],"study_design_scores_gemma":[0.001662766,0.0002002246,0.0003964312,0.000147995,0.0002634685,0.000003619507,0.0007951366,0.9766487,0.007885408,0.01128549,0.000458112,0.0002525951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8914462,0.00001596064,0.09624112,0.0003528369,0.0003506798,0.0004757992,0.000001441699,0.0000169488,0.01109901],"genre_scores_gemma":[0.949029,0.00009439949,0.04964797,0.0001148965,0.00007756241,0.00002262993,0.000009608971,0.0000275679,0.0009764032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05758275,"threshold_uncertainty_score":0.7268454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04466494917167991,"score_gpt":0.3219261868611109,"score_spread":0.277261237689431,"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."}}