{"id":"W4321071715","doi":"10.1016/j.scs.2023.104473","title":"Updating the intensity-duration-frequency curves in major Canadian cities under changing climate using CMIP5 and CMIP6 model projections","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Climate variability and models","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ouranos; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coupled model intercomparison project; Downscaling; Climatology; Environmental science; Quantile; Climate model; Return period; Storm; Meteorology; Duration (music); Climate change; Flood myth; Geography; Econometrics; Precipitation; Mathematics; Geology","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":[0.001105638,0.0005187505,0.0003940851,0.001098241,0.001149753,0.001476233,0.001832152,0.00115129,0.002862646],"category_scores_gemma":[0.004447202,0.0004834865,0.0009947309,0.003456958,0.0005104477,0.0009663675,0.0004796158,0.0008660652,0.0003250052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02414203,"about_ca_system_score_gemma":0.01789884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9894499,"about_ca_topic_score_gemma":0.9879879,"domain_scores_codex":[0.9996881,0.00003559951,0.00001799441,0.00008169633,0.00007425119,0.0001023917],"domain_scores_gemma":[0.9982974,0.0001990684,0.0001142885,0.000107021,0.001125067,0.0001572049],"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":[0.0001748447,0.00006678679,0.1183363,0.0001281339,0.0001917106,0.00008296291,0.0002563114,0.8471105,0.001061909,0.003042526,0.01158113,0.01796702],"study_design_scores_gemma":[0.00008981383,0.0000128863,0.1942363,0.00005576253,0.0001152059,0.00002149398,0.0004101964,0.7911696,0.0009076431,0.001443096,0.01142026,0.0001179098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953649,0.0006274611,0.005149306,0.001690165,0.0001118025,0.00005681836,0.02975257,0.0005887302,0.008374186],"genre_scores_gemma":[0.9872311,0.0002285148,0.003507929,0.00007740304,0.00001404049,0.00002153416,0.007778139,0.00005974921,0.00108167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02414203,"threshold_uncertainty_score":0.1751636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316526865710818,"score_gpt":0.247145484068447,"score_spread":0.2239802154113388,"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."}}