{"id":"W14092863","doi":"10.21168/rbrh.v8n4.p157-168","title":"Análise Regional de Chuvas Intensas para a Bacia do Rio Doce","year":2003,"lang":"pt","type":"article","venue":"Revista Brasileira de Recursos Hídricos","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008437901,0.0002668496,0.0005353855,0.003779241,0.0003444604,0.0006838682,0.0002697457,0.0002271534,0.001200112],"category_scores_gemma":[0.002827327,0.0002159976,0.0003912126,0.004882882,0.0003153684,0.0003138219,0.0005314063,0.0001862659,0.0001636097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007118356,"about_ca_system_score_gemma":0.0007026437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1415544,"about_ca_topic_score_gemma":0.3124464,"domain_scores_codex":[0.9996202,0.00007914586,0.00002770603,0.0001070899,0.00009942198,0.00006640646],"domain_scores_gemma":[0.9984791,0.0004568822,0.0003821728,0.000135253,0.0004388793,0.0001077003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006956448,0.00001103041,0.9631253,0.0001281382,0.0001262898,0.0001773143,0.00203551,0.001460429,0.00425154,0.0003200809,0.0002371558,0.02805749],"study_design_scores_gemma":[0.000001013907,0.00001716932,0.9974246,0.000007546232,0.00001964094,0.00004228386,0.0007618684,0.0005249057,0.0001829265,0.00002161208,0.0009917939,0.00000461438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994069,0.0003244416,0.001202653,0.00003289967,0.000002233962,0.00003845364,0.001212475,0.00005997092,0.003058003],"genre_scores_gemma":[0.9962265,0.000224829,0.002307007,0.000005186275,0.000003168444,0.0000291338,0.0005450913,0.00001003491,0.0006489586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1415544,"threshold_uncertainty_score":0.2814608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589234810027006,"score_gpt":0.2747915901704088,"score_spread":0.2488992420701387,"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."}}