{"id":"W3166747757","doi":"10.1016/j.scitotenv.2021.148323","title":"Changes in floodplain regimes over Canada due to climate change impacts: Observations from CMIP6 models","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Institute for Catastrophic Loss Reduction","keywords":"Flood myth; Floodplain; Climate change; Climatology; Environmental science; Forcing (mathematics); 100-year flood; Coupled model intercomparison project; Climate model; Hydrology (agriculture); Physical geography; Geography; Geology; Oceanography; Cartography","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":[0.0005489885,0.0001596563,0.0001636251,0.00002991137,0.0002995512,0.00003980563,0.00083446,0.00002392174,0.0005747681],"category_scores_gemma":[0.00002636742,0.0001010042,0.00004316138,0.0005692713,0.0003673184,0.0003232697,0.00188085,0.0001069834,0.0000288576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006695752,"about_ca_system_score_gemma":0.00006283433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2492502,"about_ca_topic_score_gemma":0.2505826,"domain_scores_codex":[0.9978465,0.00007692852,0.0002110062,0.0004090901,0.0009777517,0.0004787641],"domain_scores_gemma":[0.9989315,0.00004622362,0.0001100651,0.0007955436,0.000003819436,0.0001128113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004135805,0.0004420707,0.007565118,0.00002128921,0.0000441143,0.00004548969,0.006106681,0.8388807,0.1341508,0.002922327,0.004060638,0.005719384],"study_design_scores_gemma":[0.000312465,0.00004951723,0.9411244,0.00006921359,0.00003841718,0.000003618261,0.001217245,0.0273367,0.02675555,0.001898244,0.0009032568,0.000291395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836938,0.00007501145,0.00002778029,0.01340035,0.0002502926,0.0004953083,0.00005565342,0.000007466907,0.001994346],"genre_scores_gemma":[0.9976312,0.0001666878,0.0007848745,0.0006496071,0.00003310651,0.00007183471,0.000003842367,0.000010415,0.000648439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9335592,"threshold_uncertainty_score":0.7630923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188009859014552,"score_gpt":0.2178244380330325,"score_spread":0.195944339442887,"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."}}