{"id":"W4367360892","doi":"10.2112/jcoastres-d-22-00019.1","title":"Using GIS and Multicriteria Analysis to Map Flood Risk Areas of the Tongo Bassa River Basin (Douala, Cameroon)","year":2022,"lang":"en","type":"article","venue":"Journal of Coastal Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Flooding (psychology); Flood myth; Geography; Water resource management; Watershed; Drainage basin; Floodplain; Hydrology (agriculture); Structural basin; Cartography; Environmental science; Geology; Archaeology","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":[0.002975417,0.00009552622,0.0002365104,0.0003256081,0.0004157822,0.00005783138,0.0005115676,0.00002036478,0.001675434],"category_scores_gemma":[0.0001412512,0.00006852252,0.0001596814,0.001228453,0.0002411504,0.000184008,0.0021512,0.0004561389,0.000008269137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002096086,"about_ca_system_score_gemma":0.00004526536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004746444,"about_ca_topic_score_gemma":0.001263623,"domain_scores_codex":[0.9966947,0.0007067032,0.0003465653,0.000184715,0.001757733,0.0003096244],"domain_scores_gemma":[0.9991362,0.0001533258,0.0002131835,0.0002694516,0.0000679728,0.0001598414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004512269,0.0006132555,0.8776298,0.00003033431,0.0008954918,0.0001037743,0.003342957,0.05273035,0.02872667,0.00006417087,0.01332656,0.02208543],"study_design_scores_gemma":[0.0008829352,0.000609956,0.9588398,0.00002565655,0.0003925216,0.00001945169,0.00387894,0.01327682,0.002153049,0.000293995,0.01945996,0.0001669611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972364,0.00005259306,0.00094013,0.0008115627,0.0001324371,0.0002178935,0.00003833063,0.000002054159,0.0005686313],"genre_scores_gemma":[0.9957629,0.00004550564,0.003177681,0.00004594045,0.00003306332,0.000004446255,8.61057e-7,0.000009626081,0.0009199981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08120998,"threshold_uncertainty_score":0.9992372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04562000915764762,"score_gpt":0.3549254360571966,"score_spread":0.309305426899549,"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."}}