{"id":"W2560872482","doi":"10.14796/jwmm.c412","title":"Simulating the Upper St. Johns River for Extreme Events","year":2016,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Hydrology (agriculture); Oceanography; Environmental science; Archaeology; Geography; Geology","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":[0.0009905729,0.0001507474,0.0001532748,0.00008826407,0.0002204436,0.00004141761,0.0004510176,0.00002603279,0.0004225059],"category_scores_gemma":[0.00000818392,0.00006403586,0.0001754957,0.00006365973,0.00003768783,0.0005139313,0.0004099914,0.00007042027,0.00006988136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451249,"about_ca_system_score_gemma":0.000002189645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001649789,"about_ca_topic_score_gemma":0.000007176301,"domain_scores_codex":[0.9984416,0.00004246121,0.0004639587,0.0001899162,0.0005009016,0.0003612091],"domain_scores_gemma":[0.9994918,0.00003603819,0.0001629666,0.0002247899,0.0000247887,0.00005963085],"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":[0.0001969691,0.0002445191,0.01096073,0.00006537448,0.0005203029,0.00002979382,0.001445598,0.8550102,0.003704609,0.0009349306,0.009193137,0.1176938],"study_design_scores_gemma":[0.005668588,0.0003588133,0.003120869,0.0003691782,0.0006823095,0.000009994843,0.000994629,0.7978975,0.00136692,0.04363159,0.1451905,0.0007091448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3820892,0.00001986027,0.6110784,0.003205732,0.0004052616,0.0004724679,0.000001781266,0.00001598794,0.002711356],"genre_scores_gemma":[0.9830046,0.0001306907,0.01384213,0.0002768061,0.0001482894,0.00001389382,0.000001061079,0.00002147523,0.002561004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6009155,"threshold_uncertainty_score":0.4626143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932123011397186,"score_gpt":0.2487556236292386,"score_spread":0.2194343935152668,"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."}}