{"id":"W4408007643","doi":"10.1007/s00704-025-05405-2","title":"Current and projected changes in climate extremes and agro-climatic zones over East Africa","year":2025,"lang":"en","type":"article","venue":"Theoretical and Applied Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Consortium of International Agricultural Research Centers; Environment and Climate Change Canada; European Commission; Australian Centre for International Agricultural Research; Innovative Research Group Project of the National Natural Science Foundation of China; World Bank Group","keywords":"Climatology; Current (fluid); Climate change; Climate extremes; Environmental science; Precipitation; Geography; Geology; Meteorology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000328766,0.0002495973,0.000141329,0.0005900211,0.0002451312,0.000573659,0.0001897245,0.0002655111,0.001154212],"category_scores_gemma":[0.0006011294,0.0001126834,0.0002958347,0.001218034,0.0001437715,0.0005036067,0.0003780785,0.0002220028,0.0001515915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008140283,"about_ca_system_score_gemma":0.0003626822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016671,"about_ca_topic_score_gemma":0.02705018,"domain_scores_codex":[0.999873,0.00003268824,0.000009726001,0.00002220473,0.00002278551,0.00003953746],"domain_scores_gemma":[0.9998515,0.00002351762,0.00004383701,0.00001174325,0.00005042598,0.00001900455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004372573,0.0000876608,0.7274895,0.0004176527,0.0003256208,0.001112691,0.001098254,0.2041787,0.006775607,0.004283694,0.002492376,0.05130095],"study_design_scores_gemma":[0.0000402585,0.0001035804,0.9243879,0.0001443166,0.0001163916,0.0003902235,0.00155989,0.06138808,0.001462835,0.001438521,0.008923289,0.00004459981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919669,0.000520767,0.0009170987,0.0002068215,0.00001273434,0.00001215731,0.004227758,0.00002983248,0.002105802],"genre_scores_gemma":[0.9972844,0.000554013,0.0007905175,0.00001487416,0.000005488354,0.00001340408,0.001126947,0.000003177458,0.0002070826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02016671,"threshold_uncertainty_score":0.04009861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120728581792757,"score_gpt":0.2451047876206355,"score_spread":0.2330319294413598,"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."}}