{"id":"W2761734844","doi":"10.1002/9781119192428.ch1","title":"Antimicrobial Resistance Genes and Wastewater Treatment","year":2017,"lang":"en","type":"other","venue":"","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Antibiotic resistance; Sewage; Effluent; Sewage treatment; Wastewater; Aquatic ecosystem; Resistance (ecology); Antibiotics; Microorganism; Biology; Ecosystem; Bacteria; Ecology; Biotechnology; Environmental science; Environmental engineering; Microbiology; Genetics","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":[0.00043008,0.0004040845,0.0002575952,0.001410094,0.0003928422,0.002069502,0.0004853959,0.001092322,0.006895232],"category_scores_gemma":[0.0007774849,0.0001353179,0.0002487938,0.001598841,0.0008551674,0.0006572661,0.0008210834,0.0005172848,0.001889642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252552,"about_ca_system_score_gemma":0.0009504786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002091897,"about_ca_topic_score_gemma":0.002169896,"domain_scores_codex":[0.9994591,0.0001040356,0.00003435562,0.00008579125,0.0002308013,0.00008604395],"domain_scores_gemma":[0.9996285,0.00006707221,0.0001383751,0.00001809844,0.0001055325,0.00004232285],"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":[0.0001893027,0.0006356592,0.02596608,0.002272327,0.00006164455,0.002565783,0.0008679115,0.001893636,0.1434207,0.08676674,0.02911256,0.7062477],"study_design_scores_gemma":[0.00002508412,0.0002787157,0.04590387,0.0006765693,0.00004704179,0.003925052,0.00166024,0.001674693,0.07891516,0.04596082,0.8208736,0.00005920429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2082586,0.2345317,0.01508632,0.02397455,0.001173914,0.0001802707,0.001778689,0.0004494513,0.5145666],"genre_scores_gemma":[0.6618229,0.1425495,0.009343626,0.004781277,0.0005540006,0.0001460336,0.001796531,0.0001183055,0.1788878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006895232,"threshold_uncertainty_score":0.02306688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360358497602372,"score_gpt":0.27009521927597,"score_spread":0.2464916342999462,"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."}}