{"id":"W4409949878","doi":"10.1016/b978-0-443-28867-8.00004-6","title":"The role of artificial intelligence in understanding rainfall extremes in Africa","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Geography; Environmental science","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":[0.0001964093,0.0003590238,0.0001626714,0.000428255,0.0001727907,0.00138532,0.0003135268,0.0003329447,0.004466433],"category_scores_gemma":[0.0008192979,0.0001214302,0.00018196,0.0008778668,0.0004374764,0.00145708,0.0003441367,0.0006823328,0.0003385846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004277988,"about_ca_system_score_gemma":0.000370718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004894506,"about_ca_topic_score_gemma":0.005429927,"domain_scores_codex":[0.9999555,0.00001421895,0.000002937286,0.000008975974,0.0000133857,0.000004971112],"domain_scores_gemma":[0.9997649,0.0001972862,0.00001283651,0.000007783045,0.00001027582,0.000006944595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003827402,0.00002810485,0.003511179,0.0003765689,0.00005833843,0.0002635898,0.000596142,0.1411031,0.002209896,0.3100705,0.01875698,0.5229873],"study_design_scores_gemma":[0.000005722494,0.00003094611,0.005132486,0.0003978131,0.00002629645,0.0002638046,0.000532394,0.1533022,0.001078256,0.6047963,0.2344074,0.00002646158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07098676,0.1161225,0.3153594,0.01190024,0.001114565,0.00005376209,0.0009097714,0.0008391332,0.4827138],"genre_scores_gemma":[0.7169664,0.09601009,0.1124494,0.0007680621,0.001137467,0.00005030757,0.0006564273,0.0002154271,0.07174639],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.004894506,"threshold_uncertainty_score":0.01494175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04796642520084116,"score_gpt":0.2475545931766623,"score_spread":0.1995881679758212,"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."}}