{"id":"W4383723895","doi":"10.3390/antibiotics12071166","title":"Antibiotic, Heavy Metal, and Biocide Concentrations in a Wastewater Treatment Plant and Its Receiving Water Body Exceed PNEC Limits: Potential for Antimicrobial Resistance Selective Pressure","year":2023,"lang":"en","type":"article","venue":"Antibiotics","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"South African Medical Research Council; National Research Foundation; World Health Organization","keywords":"Biocide; Effluent; Wastewater; Environmental chemistry; Context (archaeology); Sewage treatment; Antimicrobial; Chemistry; Environmental science; Environmental engineering; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000218929,0.0003106315,0.0003508103,0.00007500446,0.0002812434,0.00009665274,0.0001144551,0.0001384094,0.0000436372],"category_scores_gemma":[0.00003524243,0.0002315539,0.00006398243,0.0002038814,0.0002739588,0.0003280811,0.0001607247,0.0001293805,0.00007542469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009034234,"about_ca_system_score_gemma":0.000009131009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007190546,"about_ca_topic_score_gemma":0.0001500574,"domain_scores_codex":[0.9980537,0.00007778063,0.0003298678,0.0006070561,0.0001828673,0.0007487034],"domain_scores_gemma":[0.999488,0.00008392084,0.00006254992,0.0001504167,0.000006990005,0.0002081543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001714201,0.0002611718,0.02436376,0.0001013262,0.00007756139,0.00005770598,0.0006109395,0.0003149445,0.9731058,0.00006767776,0.0006543134,0.000213319],"study_design_scores_gemma":[0.001436257,0.0002293575,0.07728888,0.00009508994,0.000153441,0.00002911653,0.0001047601,0.008532083,0.9100183,0.00007531861,0.001681836,0.0003555908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968173,0.0001626398,0.0000228021,0.001461933,0.0001429881,0.0008143936,0.0002514992,0.00006069257,0.0002657795],"genre_scores_gemma":[0.9966104,0.001309045,0.0003893616,0.000196928,0.00005156223,0.000001099525,0.0001089606,0.00003448073,0.001298147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06308759,"threshold_uncertainty_score":0.9442493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177375568908517,"score_gpt":0.2633025855622863,"score_spread":0.2415288298732011,"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."}}