{"id":"W2094390923","doi":"10.1007/s00382-012-1651-2","title":"Climate projections over CORDEX Africa domain using the fifth-generation Canadian Regional Climate Model (CRCM5)","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":199,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Climatology; Climate model; Precipitation; Climate change; Environmental science; General Circulation Model; Monsoon; Transient climate simulation; Downscaling; Geography; Meteorology; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006937481,0.0003395542,0.0002525588,0.0001022284,0.001613509,0.0002766494,0.0004247528,0.0002219332,0.001318852],"category_scores_gemma":[0.00002784791,0.0002804319,0.0001509591,0.0004299814,0.0003803368,0.0006842032,0.0003682674,0.0003186842,0.0004679394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412474,"about_ca_system_score_gemma":0.00009647293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03507878,"about_ca_topic_score_gemma":0.1762401,"domain_scores_codex":[0.9970362,0.0001302456,0.0005183251,0.0006367593,0.0003909939,0.001287472],"domain_scores_gemma":[0.9986591,0.00007041615,0.0001875925,0.0007188988,0.00004763359,0.0003163423],"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":[0.00005407983,0.0002928372,0.02696065,0.00007926359,0.0000373942,0.00000904219,0.003547623,0.9290208,0.008745574,0.02592959,0.004016642,0.001306543],"study_design_scores_gemma":[0.0002452109,0.00002898866,0.003345232,0.00001892147,0.00003915203,0.00002442102,0.0003394533,0.9912412,0.000004702713,0.002997396,0.00135501,0.0003603627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802994,0.00001733723,0.004590417,0.001407394,0.0003265683,0.001074918,0.0006576558,0.0001151476,0.01151122],"genre_scores_gemma":[0.9906155,0.0003825035,0.007227927,0.0009142658,0.00009857028,0.000179405,0.0003729978,0.00006842793,0.0001404193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1411613,"threshold_uncertainty_score":0.9999648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04167663313404828,"score_gpt":0.2501516242828131,"score_spread":0.2084749911487648,"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."}}