{"id":"W1561732720","doi":"10.1061/(asce)he.1943-5584.0001228","title":"Risk of Exceeding Extreme Design Storm Events under Possible Impact of Climate Change","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrologic Engineering","topic":"Climate variability and models","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Western Canada Research Grid; Compute Canada; National Center for Atmospheric Research","keywords":"Storm; Environmental science; Climate change; Return period; Climatology; Storm track; Flooding (psychology); MM5; Meteorology; Flood myth; Geography; Precipitation; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001743179,0.0001230004,0.0003027619,0.00009407216,0.0000206904,0.000004999651,0.0002001035,0.00007636996,0.0001255619],"category_scores_gemma":[0.0001675427,0.00009067309,0.0001622173,0.0001623514,0.0000333626,0.000341636,0.0001020223,0.0001814181,0.000004431154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002404818,"about_ca_system_score_gemma":0.00001389762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001107784,"about_ca_topic_score_gemma":0.000002316684,"domain_scores_codex":[0.998866,0.00004820189,0.0004452642,0.00009821153,0.0002958868,0.0002463859],"domain_scores_gemma":[0.9991696,0.0001008377,0.0004382752,0.000124835,0.00002800235,0.0001383852],"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":[0.00006340894,0.00007697003,0.1210965,0.00001476697,0.00003705875,0.000004168071,0.0004633054,0.8602229,0.01777055,0.00001213106,0.00001450685,0.0002237056],"study_design_scores_gemma":[0.001607565,0.002377412,0.2595731,0.0001761479,0.0001674654,0.0001484282,0.0001611027,0.7293331,0.002868002,0.003246892,0.00002574183,0.0003150666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857428,0.000158709,0.0136527,0.00002200531,0.0001359201,0.00009591617,0.000007301601,0.00001001165,0.0001746354],"genre_scores_gemma":[0.9948127,0.0003188684,0.004798997,0.000006565783,0.00004821538,0.000001648685,3.404964e-7,0.00001012292,0.000002535639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1384766,"threshold_uncertainty_score":0.3697541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09453259625636172,"score_gpt":0.2729942735393481,"score_spread":0.1784616772829863,"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."}}