{"id":"W2522076304","doi":"10.2495/safe-v6-n3-570-581","title":"Development of a storm runoff model considering process of individual building inundation","year":2016,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Surface runoff; Storm; Environmental science; Process (computing); Stormwater; Hydrology (agriculture); Civil engineering; Computer science; Meteorology; Engineering; Geotechnical engineering; Geography; Ecology","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":[0.0002829716,0.0005690657,0.001004699,0.0003831688,0.0005184154,0.000737527,0.001358537,0.001210748,0.001863787],"category_scores_gemma":[0.0005502423,0.0004285018,0.0008827645,0.0005773864,0.0003338095,0.000863574,0.0005348236,0.0009133701,0.0003287635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007504652,"about_ca_system_score_gemma":0.002064688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02111619,"about_ca_topic_score_gemma":0.009531651,"domain_scores_codex":[0.9998364,0.00003622051,0.00001470837,0.00003592363,0.00004460535,0.00003216938],"domain_scores_gemma":[0.9998364,0.00004758427,0.00001951845,0.00001124617,0.00006475603,0.00002048124],"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":[0.000007912325,0.00001635995,0.0005445745,0.00001164868,0.000007839812,0.00004905081,0.00001931385,0.9941165,0.001210978,0.001896195,0.0001606613,0.001958859],"study_design_scores_gemma":[0.000005800818,0.000006265997,0.0001040726,0.000001592978,0.000003386822,0.000007546359,0.000004981093,0.9988703,0.0002626913,0.0003466613,0.0003829724,0.000003737411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1570378,0.0002082595,0.8280266,0.0003655365,0.0001265801,0.00021894,0.001076955,0.001192497,0.01174689],"genre_scores_gemma":[0.8995566,0.0005040109,0.086168,0.00008258746,0.00004842623,0.000544294,0.001222394,0.0002031563,0.01167057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02111619,"threshold_uncertainty_score":0.04198658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008779177776701919,"score_gpt":0.2406808089710499,"score_spread":0.231901631194348,"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."}}