{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001468349,0.0003750917,0.0003342693,0.00009066115,0.0002218134,0.0001674304,0.0006473915,0.0003084796,0.003818782],"category_scores_gemma":[0.00009180911,0.0003870149,0.0001961696,0.0003232251,0.0002597671,0.0003257646,0.0002779838,0.0003956427,0.00240327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849364,"about_ca_system_score_gemma":0.0002557882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005002646,"about_ca_topic_score_gemma":0.0005414761,"domain_scores_codex":[0.9964978,0.0004211387,0.0004691987,0.0006036163,0.0005074446,0.001500836],"domain_scores_gemma":[0.998259,0.0001282094,0.0001978401,0.0006961615,0.00002081311,0.0006979587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008200101,0.0003558055,0.9358156,0.00006725239,0.00007919367,0.0001676386,0.005496688,0.0007748238,0.02460792,0.0002512883,0.008345271,0.02395655],"study_design_scores_gemma":[0.001065998,0.0002640729,0.8859972,0.00007260835,0.00008547183,0.0002617991,0.0005685784,0.003326547,0.01115492,0.0009773523,0.09556829,0.000657142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988646,0.00008967876,0.003871663,0.0007241151,0.0002368924,0.0005587289,0.00005128318,0.0001298837,0.005691742],"genre_scores_gemma":[0.9796244,0.00009166483,0.01261731,0.002384754,0.0001125843,0.00009028707,0.00003880387,0.00004689831,0.004993302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08722302,"threshold_uncertainty_score":0.9998582,"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."}}