{"id":"W2907678965","doi":"10.1016/j.scitotenv.2019.01.004","title":"Urban flood risk assessment using storm characteristic parameters sensitive to catchment-specific drainage system","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Drainage basin; Flood myth; Storm; Environmental science; Hydrology (agriculture); Drainage; Drainage system (geomorphology); Flood risk assessment; Stormwater; Risk assessment; Water resource management; Geology; Surface runoff; Geography; Meteorology; Geotechnical engineering; Cartography; Ecology; Computer science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004229489,0.0004151076,0.0003047068,0.001387991,0.0002178335,0.0005469822,0.000213238,0.0002770213,0.0004761985],"category_scores_gemma":[0.0009088286,0.0002122101,0.0003047045,0.001163232,0.0002173891,0.0004953584,0.000441107,0.0001532757,0.00006651946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004760374,"about_ca_system_score_gemma":0.0003327676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003534889,"about_ca_topic_score_gemma":0.005113382,"domain_scores_codex":[0.9998313,0.00005446158,0.000009992701,0.0000295807,0.00004024578,0.00003425695],"domain_scores_gemma":[0.9995039,0.000228239,0.000109424,0.00004141238,0.00007600155,0.00004105269],"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":[0.0005926754,0.0001814958,0.265414,0.00005511994,0.0002183721,0.000383452,0.0001912969,0.6735396,0.01418011,0.001418338,0.0004695913,0.04335598],"study_design_scores_gemma":[0.00001471245,0.0001038837,0.1522741,0.000004539326,0.00008198289,0.00009827098,0.0001543584,0.8423146,0.003760724,0.0009338525,0.0002282508,0.00003071709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891909,0.00003111772,0.009814039,0.00001520646,0.000001849421,0.00001056005,0.0001522763,0.00005994363,0.0007239863],"genre_scores_gemma":[0.9992205,0.00001416858,0.0005710743,9.920088e-7,0.000001388557,0.000002724056,0.00008070823,0.000002669448,0.0001056786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003534889,"threshold_uncertainty_score":0.007028639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008280383928516313,"score_gpt":0.2131345286795299,"score_spread":0.2048541447510136,"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."}}