{"id":"W3189536878","doi":"10.3390/cli9080125","title":"Flood Risk Assessment under Climate Change: The Petite Nation River Watershed","year":2021,"lang":"en","type":"article","venue":"Climate","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Wildlife Federation; Institut National de la Recherche Scientifique","funders":"","keywords":"Flood myth; Climate change; Flooding (psychology); Environmental science; Return period; Representative Concentration Pathways; 100-year flood; Watershed; Drainage basin; Hydrology (agriculture); Precipitation; Climatology; Hazard; Streamflow; Structural basin; Climate model; Physical geography; Water resource management; Geography; Meteorology; Geology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003472849,0.0003265737,0.0002012615,0.001111309,0.0009232677,0.001485934,0.0006671228,0.0003590326,0.001368029],"category_scores_gemma":[0.0009592947,0.0001313275,0.0003741047,0.002584034,0.0002972092,0.0003931787,0.000603529,0.0003117248,0.00008235803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0146503,"about_ca_system_score_gemma":0.01005097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.968984,"about_ca_topic_score_gemma":0.9803476,"domain_scores_codex":[0.999755,0.00003071178,0.000006852462,0.0000327005,0.0000921127,0.00008264508],"domain_scores_gemma":[0.9996417,0.00004196142,0.00004788169,0.00001519434,0.000188138,0.0000650726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002196882,0.0001618784,0.7047687,0.0001001787,0.0002063862,0.001591677,0.001017915,0.2373763,0.002341926,0.003215009,0.005364156,0.04363626],"study_design_scores_gemma":[0.00003051321,0.00006480949,0.7576796,0.00005320676,0.00007558016,0.0002763479,0.003348276,0.2264843,0.0008990769,0.001023307,0.009998847,0.00006609833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861009,0.0002479038,0.002218611,0.0003769731,0.000007009095,0.00007683554,0.003928477,0.00009409563,0.006949233],"genre_scores_gemma":[0.9930466,0.0002102766,0.002175421,0.00002359614,0.000002546755,0.00003383449,0.001982585,0.00001007949,0.002514939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03101599,"threshold_uncertainty_score":0.1062958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061620027950222,"score_gpt":0.2669211512605173,"score_spread":0.2463049509810151,"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."}}