{"id":"W3008143242","doi":"10.29150/jhrs.v9.6.p361-372","title":"Downscale of future climate change scenarios applied to Recife-PE","year":2020,"lang":"en","type":"article","venue":"Journal of Hyperspectral Remote Sensing","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal de Alagoas; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canadian Institute for Theoretical Astrophysics","keywords":"Coupled model intercomparison project; Downscaling; Precipitation; Environmental science; Climatology; Climate change; Scale (ratio); Evapotranspiration; Climate model; Representative Concentration Pathways; Climate simulation; Atmospheric sciences; Meteorology; Geography; Ecology; Geology","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":[0.001066075,0.0006444182,0.0004613648,0.0006235457,0.0003934458,0.0007655071,0.0008329823,0.0004612988,0.001623366],"category_scores_gemma":[0.002827629,0.0003827515,0.0009939451,0.001395317,0.0002880781,0.0007007195,0.0006778991,0.0009389843,0.0002712123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00262999,"about_ca_system_score_gemma":0.001861395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1400698,"about_ca_topic_score_gemma":0.1074524,"domain_scores_codex":[0.9994961,0.0001348256,0.00002323116,0.0001356802,0.0001282414,0.00008188147],"domain_scores_gemma":[0.9993067,0.0001472244,0.00006766884,0.0001549537,0.000295425,0.00002807042],"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":[0.0002359846,0.00005674177,0.04846327,0.0001095952,0.0002293844,0.0002374893,0.0001471823,0.923499,0.001365892,0.002412174,0.002653432,0.02058977],"study_design_scores_gemma":[0.0001099438,0.0001628873,0.1686737,0.00006269487,0.0001432472,0.000157102,0.0004355681,0.8032513,0.007898084,0.001448467,0.01757144,0.00008549977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688002,0.0001925084,0.009984937,0.0004673844,0.00005266697,0.0001294653,0.007188894,0.0005705249,0.01261335],"genre_scores_gemma":[0.9807613,0.0001736175,0.009372698,0.00004807158,0.00001331534,0.0001486371,0.008089124,0.0001615864,0.001231625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1400698,"threshold_uncertainty_score":0.278509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834353204875824,"score_gpt":0.2137935827294345,"score_spread":0.1954500506806763,"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."}}