{"id":"W4405036580","doi":"10.1002/joc.8672","title":"Assessment of Historical and Future Mean and Extreme Precipitation Over Sub‐Saharan Africa Using <scp>NEX</scp>‐<scp>GDDP</scp>‐<scp>CMIP6</scp>: Part I—Evaluation of Historical Simulation","year":2024,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Botswana International University of Science and Technology","keywords":"Precipitation; Climatology; Environmental science; Spatial distribution; Coupled model intercomparison project; Index (typography); Climate model; Climate change; Meteorology; Statistics; Mathematics; Computer science; Geography; Geology; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001771362,0.0006415252,0.0005098191,0.0007456693,0.0003091587,0.0007912978,0.000688037,0.0006591672,0.0005526374],"category_scores_gemma":[0.002411789,0.0002905478,0.0008307541,0.001276934,0.0002118102,0.001026127,0.0004500437,0.0004419989,0.0001361923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000923196,"about_ca_system_score_gemma":0.001019644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04187363,"about_ca_topic_score_gemma":0.02421174,"domain_scores_codex":[0.9996654,0.000123996,0.00003148425,0.00006957357,0.00007082018,0.00003885799],"domain_scores_gemma":[0.9994143,0.0001673129,0.0000892567,0.0001112416,0.0001685404,0.00004928734],"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":[0.0001818827,0.0001706129,0.1639594,0.0001228315,0.0004488171,0.0002149992,0.00008383411,0.8084,0.002388808,0.0006233009,0.001292353,0.02211328],"study_design_scores_gemma":[0.00009212575,0.0001466919,0.0802862,0.00005026102,0.000108608,0.00005824212,0.0001599176,0.9140605,0.002972581,0.000336332,0.00168906,0.00003949946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924563,0.0002796151,0.002535672,0.0001735046,0.00002827464,0.00003331135,0.00314365,0.0001909695,0.0011586],"genre_scores_gemma":[0.9932842,0.0002104937,0.003311394,0.00001915261,0.00001159702,0.00003810878,0.00298093,0.00001786008,0.0001262632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04187363,"threshold_uncertainty_score":0.08325982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06892079116448892,"score_gpt":0.3322152695453192,"score_spread":0.2632944783808303,"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."}}