{"id":"W4410340405","doi":"10.14796/jwmm.s549","title":"Developing the IsoProbability Curves of Combination of Rainfall and Water Level for Urban Drainage Infrastructure Planning—A Case Study in Ho Chi Minh City","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Viet Nam National University Ho Chi Minh City; Ho Chi Minh City University of Technology and Education","keywords":"Ho chi minh; Drainage; Water resource management; Environmental science; Environmental planning; Hydrology (agriculture); Geography; Geology; Geotechnical engineering; Cartography; Scale (ratio)","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":[0.001871257,0.0001366919,0.0002650024,0.0001699616,0.0001024793,0.00002879632,0.0002458569,0.00002611971,0.0000109549],"category_scores_gemma":[0.00001215847,0.00007571411,0.00006118368,0.0001150596,0.00005727684,0.0002643453,0.000475575,0.0001180061,1.294762e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001135791,"about_ca_system_score_gemma":0.000006371923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001681617,"about_ca_topic_score_gemma":0.00008906845,"domain_scores_codex":[0.9985831,0.00008261211,0.0006775612,0.0001814126,0.0002780885,0.0001972378],"domain_scores_gemma":[0.9995694,0.00002595295,0.0001724328,0.0001708923,0.00004064606,0.00002068665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004392883,0.001199472,0.4961156,0.003003471,0.0008319897,0.0002591544,0.04262665,0.4413345,0.001371828,0.001639398,0.001346335,0.009832304],"study_design_scores_gemma":[0.0151251,0.001419396,0.3569796,0.002354355,0.001438434,0.00007595619,0.04473908,0.4644829,0.008158471,0.1029232,0.001273349,0.00103016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9213945,0.00005604494,0.07649093,0.0007090407,0.00008954525,0.0009309353,0.000001186491,0.00000341216,0.0003244379],"genre_scores_gemma":[0.9942358,0.00002965248,0.005451921,0.0001268176,0.00000801536,0.00001664699,0.000002215682,0.00000610152,0.0001228629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.139136,"threshold_uncertainty_score":0.3087532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492833238991976,"score_gpt":0.2929813125495063,"score_spread":0.2580529801595866,"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."}}