{"id":"W3035880473","doi":"10.5327/z2176-947820200624","title":"ANÁLISE DE PROJEÇÕES DAS MUDANÇAS CLIMÁTICAS SOBRE PRECIPITAÇÃO E TEMPERATURA NAS REGIÕES HIDROGRÁFICAS BRASILEIRAS PARA O SÉCULO XXI","year":2020,"lang":"pt","type":"article","venue":"Revista Brasileira de Ciências Ambientais","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Center of Mathematical Sciences and Applications, Harvard University; Irish Centre for High-End Computing; National Oceanic and Atmospheric Administration; Commonwealth Scientific and Industrial Research Organisation","keywords":"Environmental science; Downscaling; Climatology; Climate model; Geography; Climate change; Atmospheric sciences; Physics; Meteorology; Geology; Precipitation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001253244,0.0003551426,0.0003030508,0.0007000747,0.0004812799,0.0009808326,0.0004312941,0.0003224233,0.002416615],"category_scores_gemma":[0.002175596,0.0002096775,0.0005434787,0.001428283,0.0002990188,0.0006375241,0.0004905711,0.0004147356,0.0003466723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018431,"about_ca_system_score_gemma":0.002145542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05697372,"about_ca_topic_score_gemma":0.09176904,"domain_scores_codex":[0.9994893,0.0000634107,0.00003058053,0.0001256779,0.000234092,0.00005683865],"domain_scores_gemma":[0.9986445,0.0002569609,0.0001466458,0.0002532506,0.0005889881,0.0001096976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006861949,0.0004084599,0.5893992,0.0008218828,0.0003648548,0.0006145049,0.00331849,0.1142741,0.06237796,0.004824116,0.006825592,0.2160846],"study_design_scores_gemma":[0.00006647386,0.0003715019,0.889719,0.0001094552,0.0001868848,0.0001002102,0.00250501,0.03902392,0.030852,0.001077927,0.03592199,0.00006562497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697996,0.0001538954,0.007049032,0.0002020573,0.00001882927,0.0001974216,0.005036383,0.0006532993,0.01688939],"genre_scores_gemma":[0.9641495,0.0003875463,0.02515277,0.00004371424,0.000007869468,0.000175567,0.005339364,0.0001432828,0.004600386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05697372,"threshold_uncertainty_score":0.1132842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02809648474895383,"score_gpt":0.2780948637540205,"score_spread":0.2499983790050667,"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."}}