{"id":"W2316707084","doi":"10.1002/hyp.10861","title":"Identification of changes in floods and flood regimes in Canada using a peaks over threshold approach","year":2016,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Simon Fraser University; Environment and Climate Change Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flood myth; Environmental science; 100-year flood; Hydrology (agriculture); Pluvial; Flood forecasting; Watershed; Climate change; Snowmelt; Drainage basin; Physical geography; Meteorology; Geography; Geology; Snow; Cartography; Computer science","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":[0.0002146248,0.00009838743,0.0001515224,0.00004464422,0.00002481752,0.000009653581,0.0001455647,0.00004254837,0.0001086819],"category_scores_gemma":[0.0000479462,0.00006175345,0.000008124514,0.0002650903,0.000106319,0.000154537,0.0001595256,0.00005049152,0.000001365907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001764219,"about_ca_system_score_gemma":0.00004876515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1485427,"about_ca_topic_score_gemma":0.5953864,"domain_scores_codex":[0.9990645,0.00002831652,0.0002040368,0.0002952199,0.0002091877,0.000198728],"domain_scores_gemma":[0.9997169,0.0000392687,0.00008933419,0.0001160673,0.00000457157,0.00003389245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000454535,0.0001948255,0.9686959,0.0001698264,0.000008988716,0.00001406928,0.0002101325,0.004120051,0.02306545,0.0002011796,0.0001474596,0.003126691],"study_design_scores_gemma":[0.00170522,0.0001713786,0.9332219,0.0001202094,0.0000370475,0.000006630217,0.0004432608,0.04116388,0.01742517,0.004585654,0.0006169404,0.0005026732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977043,0.000192875,0.000248436,0.0002844692,0.00001991906,0.0002037886,0.000002486661,0.000008298984,0.001335373],"genre_scores_gemma":[0.9993333,0.0002357666,0.000232462,0.00007433193,0.0000089295,0.00002872518,0.000001152418,0.000004793814,0.00008051221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4468438,"threshold_uncertainty_score":0.8571272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654994316309841,"score_gpt":0.2291211080942989,"score_spread":0.2125711649312005,"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."}}