{"id":"W3116938371","doi":"10.36524/ric.v6i3.869","title":"ANÁLISE AMBIENTAL E HIDROLÓGICA NA BACIA HIDROGRÁFICA DO RIBEIRÃO SÃO LUÍS, MG","year":2020,"lang":"pt","type":"article","venue":"Revista Ifes Ciência","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Environmental science; Philosophy","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":[0.0008807699,0.0005215695,0.0007160099,0.003135111,0.0009154507,0.002623517,0.0006094716,0.0006796755,0.004759207],"category_scores_gemma":[0.001633772,0.000341157,0.0009533432,0.004417263,0.0004764652,0.001044288,0.0007978248,0.0004966079,0.001819292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197742,"about_ca_system_score_gemma":0.001503229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07332941,"about_ca_topic_score_gemma":0.1518701,"domain_scores_codex":[0.9989268,0.0001076264,0.00006416377,0.0002854176,0.0005164579,0.0000994683],"domain_scores_gemma":[0.9988689,0.0001757914,0.0001434675,0.0001114257,0.0006572314,0.0000432005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004251035,0.0001515097,0.5267434,0.003511656,0.0005183042,0.001405069,0.008055899,0.01990809,0.1240328,0.006806983,0.01076575,0.2976754],"study_design_scores_gemma":[0.00001838375,0.0001930617,0.791705,0.0005145628,0.000437094,0.0006620392,0.01044404,0.02513118,0.04256799,0.002396438,0.12576,0.0001701517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8244267,0.005022854,0.06556229,0.0007913901,0.0002144267,0.0004639512,0.02087735,0.002855284,0.07978579],"genre_scores_gemma":[0.9445657,0.001947373,0.03438057,0.0001295102,0.00002823352,0.0001609734,0.005252195,0.000338101,0.01319733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07332941,"threshold_uncertainty_score":0.1458052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697420936781401,"score_gpt":0.2147586355620187,"score_spread":0.1977844261942046,"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."}}