{"id":"W7119299800","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":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Yield (engineering); Work (physics); Government (linguistics); Context (archaeology)","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":[0.00136018,0.0004685791,0.0003880856,0.003131181,0.0007187623,0.001218947,0.0006225114,0.0003843324,0.001060507],"category_scores_gemma":[0.003918782,0.0003817071,0.0004659502,0.005355879,0.0008818582,0.0004790307,0.001169698,0.0003581979,0.0001622623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002295332,"about_ca_system_score_gemma":0.001756219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2311744,"about_ca_topic_score_gemma":0.4319285,"domain_scores_codex":[0.9989898,0.0002110289,0.00008039717,0.0002357175,0.0003606128,0.0001224994],"domain_scores_gemma":[0.9967729,0.0007546115,0.0009459173,0.0002083524,0.0011251,0.00019291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006257505,0.00001286586,0.9823319,0.0001289722,0.000159627,0.00007111377,0.005101255,0.0002910786,0.001408326,0.000263435,0.0002264606,0.009942283],"study_design_scores_gemma":[0.00000122793,0.00005224526,0.9950652,0.00002178264,0.0000429571,0.00005252317,0.002768884,0.0002215319,0.0003713295,0.00005761394,0.001337402,0.000007386895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993255,0.0004330562,0.0008625175,0.00008091802,0.000004613453,0.00004881026,0.001754955,0.00002774751,0.00353239],"genre_scores_gemma":[0.9957391,0.0002704959,0.001765343,0.00001745154,0.000003824093,0.00006594828,0.0008501312,0.000008430936,0.001279349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2311744,"threshold_uncertainty_score":0.4596577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03824146198641041,"score_gpt":0.2912702273214621,"score_spread":0.2530287653350516,"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."}}