{"id":"W3086632954","doi":"10.3390/atmos11090996","title":"Did ERA5 Improve Temperature and Precipitation Reanalysis over East Africa?","year":2020,"lang":"en","type":"article","venue":"Atmosphere","topic":"Climate variability and models","field":"Environmental Science","cited_by":282,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Environment and Climate Change Canada","keywords":"Precipitation; Environmental science; Climatology; Climate change; Strengths and weaknesses; Water resources; Meteorology; Geography; Geology","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":[0.003710312,0.0006723067,0.0004943633,0.0005392572,0.0001962393,0.001484025,0.0006617255,0.0005641126,0.002769312],"category_scores_gemma":[0.005190013,0.0002752668,0.0008389893,0.001625555,0.0001595739,0.002721348,0.0005143483,0.0005730679,0.0008989003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006203721,"about_ca_system_score_gemma":0.001325147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03524707,"about_ca_topic_score_gemma":0.03123822,"domain_scores_codex":[0.9993657,0.0002281803,0.00008314524,0.0001146738,0.00009254659,0.0001156528],"domain_scores_gemma":[0.9989324,0.0001835503,0.0001409059,0.0002073817,0.0004795236,0.00005626861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001409044,0.0001562916,0.2525719,0.002021115,0.001879248,0.0006372719,0.0008309738,0.08370502,0.01637982,0.01390451,0.03912465,0.5873802],"study_design_scores_gemma":[0.0004916487,0.0003689702,0.4616208,0.001879256,0.001806073,0.0003661279,0.001302758,0.1345734,0.02747088,0.00532981,0.3644513,0.0003390058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8230025,0.0313168,0.04386591,0.02372376,0.003007036,0.0002341144,0.04930098,0.003869347,0.02167948],"genre_scores_gemma":[0.8640957,0.009802641,0.1056461,0.001610865,0.0003954113,0.0000945125,0.0138606,0.0006912319,0.003802869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03524707,"threshold_uncertainty_score":0.07008386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118390860079856,"score_gpt":0.2053045607284948,"score_spread":0.1941206521276962,"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."}}