{"id":"W3005622167","doi":"10.14393/rcg207241126","title":"USO DE INSTRUMENTO DE SUPORTE À TOMADA DE DECISÃO PARA GESTÃO DOS RECURSOS HÍDRICOS NO ESTADO DE MINAS GERAIS","year":2019,"lang":"en","type":"article","venue":"Caminhos de Geografia","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Political science; Physics; 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":[0.01767592,0.0006254307,0.0006150866,0.004680609,0.0007326049,0.002554636,0.001137465,0.0005889421,0.001113523],"category_scores_gemma":[0.0316142,0.000340276,0.0004460897,0.004684774,0.001126261,0.001346274,0.002005568,0.0004716548,0.0002908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003281357,"about_ca_system_score_gemma":0.006072446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01574736,"about_ca_topic_score_gemma":0.03210685,"domain_scores_codex":[0.9880116,0.006508006,0.0008186845,0.000930491,0.002968603,0.0007625378],"domain_scores_gemma":[0.980892,0.00847236,0.003598386,0.002051591,0.004385274,0.0006004787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003787424,0.0002932798,0.6566852,0.0009124133,0.0001484982,0.0001277633,0.00740082,0.008369753,0.005924908,0.005380008,0.000916374,0.3134622],"study_design_scores_gemma":[0.00003089619,0.001029004,0.9209117,0.0005189346,0.0001965681,0.0001392429,0.01159107,0.02532017,0.009213262,0.002652244,0.02832388,0.00007299753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538231,0.001423166,0.02380516,0.0005597039,0.00007379849,0.0008976999,0.0008675116,0.0002556831,0.01829425],"genre_scores_gemma":[0.9659999,0.0006029834,0.03132818,0.00003584935,0.00002974483,0.0003166171,0.0003271824,0.0000195277,0.001339971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01767592,"threshold_uncertainty_score":0.09348035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110871825361401,"score_gpt":0.2554086576982679,"score_spread":0.2442999394446539,"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."}}