{"id":"W2917916806","doi":"10.1080/07011784.2015.1008048","title":"The 2011 flood event in the Red River Basin: Causes, assessment and damages","year":2015,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amec Foster Wheeler (Canada); University of Manitoba","funders":"","keywords":"Flood myth; Tributary; Hydrology (agriculture); Flooding (psychology); Environmental science; Flood control; Flood stage; Floodplain; 100-year flood; Snowmelt; Return period; Flash flood; Structural basin; Snow; Geography; Geology; Meteorology; Archaeology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008550753,0.0003095416,0.0002427232,0.002029603,0.0005895559,0.0007809239,0.000454022,0.0004370612,0.001077153],"category_scores_gemma":[0.001024813,0.0002618239,0.0004889113,0.002066769,0.0002832856,0.0005435158,0.001204987,0.0004620503,0.0002080786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002336196,"about_ca_system_score_gemma":0.002123628,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1241025,"about_ca_topic_score_gemma":0.2260634,"domain_scores_codex":[0.9995627,0.00008093398,0.00004283056,0.0000481252,0.0001637339,0.0001017293],"domain_scores_gemma":[0.998935,0.00007186883,0.0003655482,0.00003812646,0.0003924386,0.0001968766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005338126,0.000107629,0.9707745,0.0000883306,0.0000948649,0.0004558547,0.0006554958,0.001753724,0.0001855251,0.0002478741,0.004237512,0.02134532],"study_design_scores_gemma":[0.000002185539,0.00003244495,0.9964476,0.00003485153,0.00001748337,0.0001526701,0.0008944171,0.001214526,0.00003263994,0.0000651708,0.001098542,0.000007456753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913995,0.001082105,0.0002231166,0.0007659048,0.00002296137,0.00008249237,0.003598735,0.00002570507,0.002799504],"genre_scores_gemma":[0.9943261,0.001515139,0.0003763544,0.0001034039,0.00002868529,0.00004716132,0.00230164,0.000004623822,0.001296867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8758975,"threshold_uncertainty_score":0.2467602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600958319245223,"score_gpt":0.2259436351672642,"score_spread":0.2099340519748119,"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."}}