{"id":"W2783121272","doi":"","title":"COMPARAÇÃO ENTRE OS ÍNDICES DE QUALIDADE DE ÁGUA CCME E IQASCH APLICADOS AO AQUÍFERO SÃO PAULO NO MUNICÍPIO DE GUARULHOS","year":2017,"lang":"pt","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00644158,0.0009642012,0.001607728,0.0004537962,0.002524688,0.006872964,0.0113119,0.0005378972,0.06880646],"category_scores_gemma":[0.0005704132,0.0009502518,0.000615144,0.0004907078,0.0008797871,0.005080273,0.004285353,0.001556309,0.001370731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595176,"about_ca_system_score_gemma":0.0005456033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02380407,"about_ca_topic_score_gemma":0.002234147,"domain_scores_codex":[0.9906693,0.00235679,0.001985433,0.001174209,0.001865666,0.001948573],"domain_scores_gemma":[0.992171,0.0005761874,0.003230004,0.002385963,0.0001354111,0.001501448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005526718,0.001707711,0.7877443,0.0003476399,0.0006239878,0.0002210183,0.01038425,0.001470149,0.107929,0.000185371,0.08025911,0.008574715],"study_design_scores_gemma":[0.001811439,0.00005404294,0.8977057,0.001047496,0.0003386584,0.0000877261,0.001484907,0.002316832,0.03744604,0.002882089,0.05348246,0.001342637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97914,0.004692329,0.001756173,0.00195329,0.001022203,0.001219499,0.0004071959,0.00007862995,0.009730621],"genre_scores_gemma":[0.980626,0.009495219,0.0009090802,0.001876703,0.0004310681,0.00009910285,0.00002867915,0.0001074176,0.006426759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1099613,"threshold_uncertainty_score":0.9994068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3294660726175213,"score_gpt":0.5832947608179128,"score_spread":0.2538286882003915,"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."}}