{"id":"W4409329503","doi":"10.3390/land14040816","title":"An Integrated Trivariate-Dimensional Statistical and Hydrodynamic Modeling Method for Compound Flood Hazard Assessment in a Coastal City","year":2025,"lang":"en","type":"article","venue":"Land","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Flood myth; Environmental science; Hazard; Hazard analysis; Hydrology (agriculture); Geography; Environmental resource management; Geology; Engineering; Geotechnical engineering; Ecology; Reliability 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006873181,0.0004834263,0.0004520904,0.0007105102,0.0002801768,0.0006563938,0.0005358916,0.0004381872,0.001205172],"category_scores_gemma":[0.001419793,0.0003237515,0.0009424795,0.0006043541,0.0002435979,0.0005627461,0.0005960347,0.0005151795,0.0001784167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003794395,"about_ca_system_score_gemma":0.0008379023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008154863,"about_ca_topic_score_gemma":0.005499468,"domain_scores_codex":[0.9996927,0.000131323,0.00001858881,0.00006302733,0.00006352426,0.00003092334],"domain_scores_gemma":[0.9996077,0.0001780955,0.00006549549,0.0000337351,0.00009346842,0.00002151691],"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":[0.00004109804,0.00004874234,0.003600599,0.00002177162,0.00006412207,0.00004937968,0.00005733291,0.9604371,0.002148183,0.002660522,0.0002911908,0.03058],"study_design_scores_gemma":[9.422034e-7,0.000007889425,0.0002975375,6.604732e-7,0.000003883953,0.000005742388,0.000005238915,0.9992328,0.0001317034,0.0002329553,0.00007755322,0.000003206259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06265276,0.00004292876,0.9360049,0.00005872895,0.00001423593,0.00004004902,0.0001067451,0.0003058094,0.000773738],"genre_scores_gemma":[0.8557629,0.0001608031,0.1418061,0.00003594225,0.00002185816,0.0002134267,0.0002491681,0.00006238329,0.00168757],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008154863,"threshold_uncertainty_score":0.01621479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122532301678661,"score_gpt":0.3200193300144701,"score_spread":0.307766099846604,"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."}}