{"id":"W2890377284","doi":"10.3390/atmos9090362","title":"Extreme Rainfall Forecast with the WRF-ARW Model in the Central Andes of Peru","year":2018,"lang":"en","type":"article","venue":"Atmosphere","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Inter-American Institute for Global Change Research; Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; International Development Research Centre","keywords":"Weather Research and Forecasting Model; Climatology; Mesoscale meteorology; Geopotential height; Environmental science; Meteorology; Structural basin; Precipitation; Extreme weather; Geology; Geography; Climate change","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":[0.0005094463,0.0005181511,0.0004376545,0.0005100896,0.0002396256,0.0006170357,0.0005803732,0.0006493943,0.0004045544],"category_scores_gemma":[0.001472164,0.0002517644,0.0004544093,0.0005180669,0.0002378196,0.0005683578,0.0004498625,0.0002932526,0.0001056523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006275142,"about_ca_system_score_gemma":0.0005116584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05436613,"about_ca_topic_score_gemma":0.02915437,"domain_scores_codex":[0.9998535,0.00006700162,0.000008808695,0.00002910721,0.00001561388,0.00002595247],"domain_scores_gemma":[0.9996595,0.0001510125,0.00005738569,0.00002979675,0.00007148836,0.00003073398],"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":[0.0001275171,0.0001120459,0.05468129,0.0000313189,0.00007809333,0.0002319571,0.00007912162,0.936568,0.001214482,0.0003196595,0.0003616856,0.006194986],"study_design_scores_gemma":[0.00004291247,0.00005944497,0.01102076,0.00000359153,0.00001404223,0.00001896941,0.00005115576,0.9882646,0.0002155951,0.000115541,0.0001846972,0.000008770776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970964,0.00007993698,0.001356974,0.0001051479,0.000003362312,0.00001419802,0.0002353609,0.0001105341,0.0009980575],"genre_scores_gemma":[0.998418,0.00005508357,0.00100886,0.000009371859,0.000004140842,0.00001573179,0.0003018649,0.000007745396,0.0001791213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05436613,"threshold_uncertainty_score":0.1080993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03978329412752683,"score_gpt":0.2171802177105713,"score_spread":0.1773969235830445,"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."}}