{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.003203298,0.001276557,0.00121998,0.0003898178,0.004455922,0.002049445,0.003639439,0.001431364,0.001381829],"category_scores_gemma":[0.0009853176,0.00132081,0.0007009374,0.000503187,0.0002411271,0.001667978,0.001579109,0.001998149,0.0008589305],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004699238,"about_ca_system_score_gemma":0.001415999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002184519,"about_ca_topic_score_gemma":0.003097964,"domain_scores_codex":[0.9893452,0.002194032,0.001764127,0.001854486,0.002049803,0.002792359],"domain_scores_gemma":[0.9928578,0.0004892283,0.001710049,0.002690312,0.0002473774,0.002005223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00259578,0.01037287,0.07991449,0.00158806,0.002196161,0.002248661,0.09512245,0.003367242,0.06907678,0.6907937,0.03337233,0.009351501],"study_design_scores_gemma":[0.00313842,0.0002519901,0.09788422,0.0005411487,0.0003521566,0.001369794,0.003078722,0.006464476,0.005670697,0.0007618622,0.8787335,0.001753081],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8576151,0.0008462247,0.01021073,0.04213692,0.002762377,0.002251964,0.0007741221,0.0007667758,0.08263578],"genre_scores_gemma":[0.9869755,0.0005424463,0.004617377,0.001359421,0.001122215,0.0003670758,0.0002292486,0.0001305707,0.004656131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8453611,"threshold_uncertainty_score":0.9999986,"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."}}