{"id":"W2339480352","doi":"10.1007/978-3-319-25814-0_15","title":"A Stochastic Weather Generator Model for Hydroclimatic Prevision in Urban Floods Risk Assessment in Abidjan District (Cote d’Ivoire)","year":2016,"lang":"en","type":"book-chapter","venue":"Climate change management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Francophone University Association","funders":"","keywords":"HadCM3; Flooding (psychology); Flood myth; Environmental science; Baseline (sea); Climatology; Precipitation; Meteorology; Climate change; Geography; General Circulation Model; GCM transcription factors; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004040913,0.0003248599,0.0005155733,0.0001993022,0.0003699171,0.0007759084,0.001149236,0.0007556259,0.001984583],"category_scores_gemma":[0.000920807,0.0003418631,0.0004054178,0.0003986586,0.0002374088,0.0004153017,0.0004196951,0.000711372,0.000238105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043972,"about_ca_system_score_gemma":0.001673288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08469556,"about_ca_topic_score_gemma":0.07020184,"domain_scores_codex":[0.9998692,0.00005227732,0.000008185929,0.00002822396,0.00002020888,0.00002173796],"domain_scores_gemma":[0.9998199,0.00009333816,0.00001526135,0.000008293695,0.00004763338,0.00001551644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001012783,0.000007940989,0.0003082251,0.000006790863,0.000006723625,0.00002326915,0.00001520773,0.993944,0.0001385897,0.001767315,0.0004618641,0.003309868],"study_design_scores_gemma":[0.000003151893,0.000004032947,0.0001352266,0.000001563532,0.000003112577,0.000003490671,0.000005657927,0.9988733,0.00003664448,0.0006213307,0.0003100428,0.000002437011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2930225,0.0007990784,0.6815432,0.001411748,0.0004163352,0.0001126825,0.001844409,0.001295595,0.01955447],"genre_scores_gemma":[0.9573143,0.0003317575,0.03086589,0.00008550951,0.00004985719,0.000105057,0.0008068515,0.00008687613,0.01035389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08469556,"threshold_uncertainty_score":0.1684052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013273255714381,"score_gpt":0.2675833104312693,"score_spread":0.2374505778741255,"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."}}