{"id":"W2940423377","doi":"10.1007/s10661-019-7386-3","title":"Theoretical environmental risk assessment of ten used pharmaceuticals in Belo Horizonte, Brazil","year":2019,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Public Health Agency of Canada","keywords":"Hazard quotient; Environmental science; Environmental monitoring; Risk assessment; Environmental impact assessment; Aquatic environment; Ecotoxicology; Environmental protection; Environmental health; Risk analysis (engineering); Environmental engineering; Environmental planning; Health risk; Toxicology; Business; Ecology; Biology; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007278934,0.0005024548,0.0005730683,0.00008696126,0.0001516942,0.00004999512,0.0003487032,0.0001695006,0.006318914],"category_scores_gemma":[0.00001060854,0.0004530368,0.0001499451,0.0001401935,0.0009960565,0.0004617067,0.0008038231,0.000807201,0.0002388644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007523488,"about_ca_system_score_gemma":0.00001397392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006020524,"about_ca_topic_score_gemma":0.00000126825,"domain_scores_codex":[0.9963124,0.0002958723,0.0007042087,0.0008835943,0.001010792,0.0007931543],"domain_scores_gemma":[0.9986007,0.0002458609,0.0002382803,0.0004498512,7.690802e-7,0.0004645289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002576126,0.0009040431,0.7846178,0.00001882181,0.00004029278,0.00001819597,0.0001050854,0.0003127619,0.2020099,0.0002754065,0.000009393248,0.01166255],"study_design_scores_gemma":[0.002093842,0.0004171121,0.9569911,0.00007477462,0.00007204132,0.00001484901,0.0005044496,0.003832798,0.03425904,0.0004803179,0.0007542904,0.0005053302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902581,0.0002010565,0.00006405313,0.0002042406,0.0003218136,0.0006782931,0.00009155974,0.00003351412,0.00814738],"genre_scores_gemma":[0.994952,0.001524829,0.003041095,0.00007628258,0.00007120108,0.00002497933,0.0000233865,0.0000547871,0.0002314162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1723733,"threshold_uncertainty_score":0.9997922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248959752074221,"score_gpt":0.3276298403385962,"score_spread":0.315140242817854,"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."}}