{"id":"W2787479093","doi":"10.2495/safe-v7-n2-180-189","title":"Integrating building effect of local grid refinement in urban flood modelling","year":2017,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Grid; Computer science; Environmental science; Environmental planning; Civil engineering; Engineering; Geology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005651289,0.0004319336,0.0005469788,0.0003577489,0.0002932543,0.0006321649,0.001007657,0.0007106141,0.001754207],"category_scores_gemma":[0.002714028,0.0003511009,0.0004940802,0.0006353923,0.0003817689,0.000837096,0.0007682651,0.0005501662,0.0002078496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004873881,"about_ca_system_score_gemma":0.00070406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0319807,"about_ca_topic_score_gemma":0.02837507,"domain_scores_codex":[0.9998077,0.00006974491,0.00001312383,0.00003586133,0.00003888228,0.00003478757],"domain_scores_gemma":[0.9991848,0.0004197115,0.0000526999,0.0001442571,0.0001515149,0.00004712447],"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":[0.00002667535,0.00002418853,0.001139788,0.00001082996,0.000008447875,0.00001555483,0.00001906047,0.99414,0.0007064764,0.0004037421,0.00005467375,0.003450573],"study_design_scores_gemma":[0.000003488135,0.000005882146,0.0002176758,0.000001241275,0.00000416566,0.000002265396,0.000004090016,0.9992067,0.0003654491,0.0001187472,0.00006828998,0.000002075383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6632492,0.0002598986,0.326285,0.0001938761,0.0001012847,0.00007935523,0.0004102913,0.001093177,0.008328005],"genre_scores_gemma":[0.9818879,0.00006554901,0.01726518,0.00001687471,0.000006154392,0.00001469758,0.00008522566,0.00009371525,0.0005646361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0319807,"threshold_uncertainty_score":0.0635891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003984734871929251,"score_gpt":0.228700746885914,"score_spread":0.2247160120139848,"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."}}