{"id":"W4285083880","doi":"10.1029/2022ef002655","title":"Multivariate Analysis of Compound Flood Hazard Across Canada's Atlantic, Pacific and Great Lakes Coastal Areas","year":2022,"lang":"en","type":"article","venue":"Earth s Future","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Institute for Catastrophic Loss Reduction","keywords":"Coastal flood; Flood myth; Flooding (psychology); Storm surge; Environmental science; Multivariate statistics; 100-year flood; Return period; Storm; Hydrology (agriculture); Geography; Climatology; Climate change; Meteorology; Oceanography; Geology; Statistics; Sea level rise; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000393991,0.0002862967,0.0002290378,0.0009840244,0.0005641766,0.0006092463,0.0003195486,0.0001094452,0.001144855],"category_scores_gemma":[0.001308607,0.00010801,0.0003454142,0.00141434,0.0003650491,0.0002081352,0.0004765872,0.0002701238,0.00004866676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003646959,"about_ca_system_score_gemma":0.004511079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8779186,"about_ca_topic_score_gemma":0.8945079,"domain_scores_codex":[0.9997677,0.00003091175,0.000007215247,0.00004418513,0.0000890725,0.00006090388],"domain_scores_gemma":[0.9988458,0.0003649562,0.0002105613,0.00006658456,0.00040019,0.0001118957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001684917,0.00004101816,0.9148896,0.00004119622,0.0002156098,0.0003258406,0.000332544,0.05973585,0.002313474,0.00106783,0.0008388599,0.0200298],"study_design_scores_gemma":[0.000002729574,0.00002140167,0.9407815,0.000003932728,0.0000294868,0.00003388845,0.0005098425,0.05758001,0.0004487769,0.0001719709,0.0004032041,0.00001324521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997305,0.00002844225,0.001195448,0.00002824743,0.000001248468,0.00001038317,0.0007734816,0.00002171292,0.0006359034],"genre_scores_gemma":[0.998751,0.00002297155,0.0004589927,0.000002388785,7.605091e-7,0.000003375851,0.0004628763,0.000002219615,0.0002954337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1220814,"threshold_uncertainty_score":0.2456007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004850670773223261,"score_gpt":0.2115399004082277,"score_spread":0.2066892296350044,"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."}}