{"id":"W3196101319","doi":"10.1007/s40808-021-01259-5","title":"Flood modelling for a data-scare semi-arid region using 1-D hydrodynamic model: a case study of Navsari Region","year":2021,"lang":"en","type":"article","venue":"Modeling Earth Systems and Environment","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Flood myth; Hydrology (agriculture); Flooding (psychology); Floodplain; Water level; Environmental science; Flood stage; Arid; Drainage basin; Geography; 100-year flood; Geology; Cartography; Geotechnical engineering; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003814751,0.0002706154,0.0003889109,0.00005329279,0.0002995799,0.00006780537,0.0001993701,0.00008976067,0.000004628946],"category_scores_gemma":[0.000003568218,0.0002608165,0.00006261817,0.00009057544,0.00004139997,0.000321302,0.0006602447,0.0001172678,0.000002112857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008525998,"about_ca_system_score_gemma":0.00001579308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005701306,"about_ca_topic_score_gemma":0.000530369,"domain_scores_codex":[0.9976896,0.00008789665,0.0005637766,0.0008969595,0.0004155618,0.0003461759],"domain_scores_gemma":[0.9986889,0.00002131862,0.0001893812,0.0009779355,0.00001060056,0.0001118741],"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":[0.00001842016,0.0003091599,0.001072845,0.000107845,0.00006442903,0.0002877919,0.0009105487,0.9962798,0.0002903621,0.00002703062,0.00002237187,0.0006093526],"study_design_scores_gemma":[0.0009503316,0.0001355624,0.000006303083,0.00007824526,0.0002215782,0.0003502446,0.00489441,0.9927981,0.00001316341,0.00005882905,0.0002109092,0.0002822906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5305784,0.0002817165,0.4683654,0.00001866206,0.00005555221,0.0006311943,0.000009254436,0.00001673016,0.00004303035],"genre_scores_gemma":[0.990142,0.0003150796,0.009114149,0.00001549161,0.00003592967,0.00006452567,0.00004545995,0.00004201237,0.0002253036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4595636,"threshold_uncertainty_score":0.9999844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09328508090953264,"score_gpt":0.2684415085920915,"score_spread":0.1751564276825589,"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."}}