{"id":"W2954712613","doi":"10.17271/2318847274520192056","title":"Impacto dos Fármacos nos Recursos Hídricos","year":2019,"lang":"pt","type":"article","venue":"Revista Nacional de Gerenciamento de Cidades","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Physics; Political science; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003415717,0.0004580735,0.0009480534,0.003015266,0.002216568,0.006031995,0.001036891,0.001908485,0.007598034],"category_scores_gemma":[0.005311646,0.0003333824,0.001027001,0.006083323,0.002712184,0.002334531,0.002499433,0.001289738,0.001030444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004027729,"about_ca_system_score_gemma":0.005647807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02297671,"about_ca_topic_score_gemma":0.03877937,"domain_scores_codex":[0.9954456,0.001712461,0.0003143001,0.0006711002,0.001468796,0.0003876579],"domain_scores_gemma":[0.9929771,0.003031651,0.001544886,0.0004509577,0.001735762,0.0002596267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009531146,0.0005973775,0.1866419,0.0254101,0.001099395,0.004533611,0.01721574,0.003562954,0.03790633,0.06950226,0.02464405,0.6279331],"study_design_scores_gemma":[0.00004212018,0.000782589,0.1653894,0.008497491,0.001145101,0.002699975,0.02756296,0.0007114777,0.02268289,0.02505731,0.7452719,0.0001568536],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4330601,0.3686016,0.01076866,0.03305827,0.001575243,0.0002377479,0.004156407,0.0002971163,0.1482447],"genre_scores_gemma":[0.6950516,0.2678491,0.006454574,0.005056833,0.0004276184,0.0001152025,0.001302441,0.00006848815,0.02367422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02297671,"threshold_uncertainty_score":0.04568595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059308747393011,"score_gpt":0.2963696009068467,"score_spread":0.2757765134329165,"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."}}