{"id":"W2292217761","doi":"","title":"ÍNDICE DE QUALIDADE DE ÁGUA (IQACCME) APLICADO À AVALIAÇÃO DE AQUÍFEROS DO ESTADO DO RIO DE JANEIRO WATER QUALITY INDEX (CCMEWQI) APPLIED FOR EVALUATION OF GROUNDWATER OF THE STATE OF RIO DE JANEIRO","year":2013,"lang":"pt","type":"article","venue":"","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aquifer; Water quality; Environmental science; Groundwater; Geography; Hydrology (agriculture); Geology; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002044314,0.0005020071,0.0005217559,0.003685246,0.0003392059,0.001214953,0.0005097616,0.0003371953,0.0009145056],"category_scores_gemma":[0.004310036,0.0002318714,0.0006111926,0.003213002,0.0004438376,0.0003835376,0.0007592599,0.0003915497,0.0002792823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009643096,"about_ca_system_score_gemma":0.0005226615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01874417,"about_ca_topic_score_gemma":0.03439735,"domain_scores_codex":[0.998551,0.0003843456,0.0001537172,0.0002048825,0.0005954735,0.0001107589],"domain_scores_gemma":[0.9983606,0.0005114182,0.0003524842,0.000143691,0.000557287,0.00007439122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003422485,0.0001210263,0.8766908,0.0004238471,0.0003598654,0.0001122966,0.001614497,0.006476623,0.009858586,0.001955667,0.002075046,0.09996949],"study_design_scores_gemma":[0.00002822238,0.00039631,0.9359486,0.00009283832,0.0002085264,0.0003175556,0.001848844,0.03777985,0.008767207,0.001392577,0.01313752,0.00008191484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555535,0.001771021,0.02019654,0.0001504157,0.00008847027,0.0002861712,0.004646069,0.0005109441,0.01679678],"genre_scores_gemma":[0.9774114,0.00038453,0.01867973,0.00002361756,0.0000226544,0.0001647543,0.001722652,0.00002999895,0.001560786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01874417,"threshold_uncertainty_score":0.03727013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.049084792500529,"score_gpt":0.3300684554895584,"score_spread":0.2809836629890294,"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."}}