{"id":"W4250986252","doi":"10.1007/s00382-012-1387-z","title":"Climate simulation over CORDEX Africa domain using the fifth-generation Canadian Regional Climate Model (CRCM5)","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Canadian Foundation for Climate and Atmospheric Sciences; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Climatology; Precipitation; Equator; Hadley cell; Climate model; Diurnal cycle; Monsoon; Environmental science; Magnitude (astronomy); Intertropical Convergence Zone; Walker circulation; Atmospheric sciences; Climate change; Geology; General Circulation Model; Sea surface temperature; Geography; Meteorology; Latitude; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.00128446,0.0003234837,0.000243628,0.0000808703,0.001176161,0.0001342261,0.0003290959,0.0002315549,0.0005908262],"category_scores_gemma":[0.00003578452,0.0002767094,0.0001361067,0.0003190536,0.0002581444,0.0008177854,0.0003194876,0.0002539327,0.0002081319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460498,"about_ca_system_score_gemma":0.0000482601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004655318,"about_ca_topic_score_gemma":0.04094909,"domain_scores_codex":[0.9969995,0.0001478702,0.000500107,0.0004626072,0.0004345246,0.001455367],"domain_scores_gemma":[0.9986345,0.0001216226,0.0002102768,0.0006259058,0.00002951234,0.000378227],"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":[0.00003942273,0.0000850011,0.02601992,0.00002134228,0.000008139546,0.000001502198,0.001480857,0.9629613,0.001162614,0.007719121,0.0001333941,0.0003673744],"study_design_scores_gemma":[0.0002621449,0.00001748197,0.005380284,0.00001613372,0.00004910991,0.000009319266,0.0001636949,0.9910518,0.000004481622,0.001044348,0.001648851,0.0003523598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794554,0.00004046011,0.01340084,0.0003860631,0.0003911282,0.000517698,0.0005894475,0.00008088083,0.00513807],"genre_scores_gemma":[0.9944295,0.0002003774,0.004049323,0.0006429652,0.0001486781,0.00002608946,0.0004141112,0.0000553224,0.00003369286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03629377,"threshold_uncertainty_score":0.9999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0577697285325624,"score_gpt":0.2773694771974188,"score_spread":0.2195997486648564,"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."}}