{"id":"W7037670657","doi":"","title":"Espacialização da precipitação pluviométrica trimestral em São Paulo Capital","year":2017,"lang":"en","type":"article","venue":"Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Spatial distribution; Precipitation; Distribution (mathematics); Raster graphics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.001373208,0.000513979,0.0004743448,0.0008670344,0.002992646,0.002504138,0.002008877,0.0003350516,0.001005467],"category_scores_gemma":[0.002813519,0.0004077522,0.0003709942,0.001808602,0.002856902,0.003040885,0.002474257,0.000547484,0.001548079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007996964,"about_ca_system_score_gemma":0.0001154572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001813952,"about_ca_topic_score_gemma":0.0002898989,"domain_scores_codex":[0.9940092,0.00008685636,0.0005640482,0.001303158,0.002664154,0.001372594],"domain_scores_gemma":[0.9978777,0.0003508109,0.0003076302,0.0007835899,0.0001567417,0.000523568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002901681,0.007539799,0.0654038,0.0002415113,0.0008941979,0.0003355115,0.002370298,0.003099432,0.02992167,0.1724174,0.6315028,0.08337191],"study_design_scores_gemma":[0.002128478,0.001194569,0.1294053,0.00009711782,0.00003214731,0.00003943275,0.0008226112,0.0003113381,0.002398529,0.02336961,0.8390121,0.00118869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519664,0.0003514923,0.0005594173,0.006422998,0.001041665,0.002446403,0.003122755,0.0002043477,0.1338845],"genre_scores_gemma":[0.9925447,0.0002734537,0.0007969333,0.0000896579,0.0004880066,0.0002524243,0.0003502826,0.00004747274,0.005157058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2075094,"threshold_uncertainty_score":0.9999077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056204908728971,"score_gpt":0.3579785540427798,"score_spread":0.2523580631698827,"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."}}