{"id":"W2746355058","doi":"10.3390/hydrology4030040","title":"Water Balance Analysis over the Niger Inland Delta-Mali: Spatio-Temporal Dynamics of the Flooded Area and Water Losses","year":2017,"lang":"en","type":"article","venue":"Hydrology","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health; University of Ottawa","funders":"West African Science Service Centre on Climate Change and Adapted Land Use; Bundesministerium für Bildung und Forschung","keywords":"Water balance; Environmental science; Hydrology (agriculture); Evapotranspiration; Inflow; Precipitation; Wetland; Streamflow; Drainage basin; Water resources; Flood myth; Geography; Geology; Meteorology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002703732,0.0001152479,0.0001852038,0.00002502908,0.0003415856,0.00004918755,0.0004482784,0.0000572007,0.0009567566],"category_scores_gemma":[0.000008022743,0.00004664939,0.00007449348,0.0000444533,0.000490675,0.000129986,0.000721855,0.00008571739,0.00003083653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000250565,"about_ca_system_score_gemma":0.000002218332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002483706,"about_ca_topic_score_gemma":0.01181159,"domain_scores_codex":[0.9991138,0.00007463864,0.000163917,0.0002291655,0.0001669924,0.0002515126],"domain_scores_gemma":[0.9992126,0.00001839041,0.00009446658,0.0006414974,0.000005625555,0.00002744979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001789348,0.00002848869,0.9956956,0.000003726032,0.0001387191,0.000003177466,0.0002691936,0.002614187,0.0003317824,0.00006783268,0.0006751098,0.0001542736],"study_design_scores_gemma":[0.000345904,0.00003840989,0.9099465,0.000001831435,0.0002958004,0.000001837986,0.00002323972,0.07970767,0.00132645,0.001379664,0.006820535,0.0001121576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939473,0.00001057885,0.000279278,0.003474128,0.0001148957,0.0001615257,0.000007866412,0.000006743292,0.001997661],"genre_scores_gemma":[0.9983887,0.00002601837,0.00006359162,0.0003344691,0.00001676938,0.00001348819,0.00003356007,0.000006452632,0.001116961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08574912,"threshold_uncertainty_score":0.9999565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007507215325648837,"score_gpt":0.2229080747987646,"score_spread":0.2154008594731158,"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."}}