{"id":"W2072670419","doi":"10.1016/j.scitotenv.2013.04.057","title":"Impact of selected wastewater constituents on the removal of sulfonamide antibiotics via ultrafiltration and micellar enhanced ultrafiltration","year":2013,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Ultrafiltration (renal); Chemistry; Wastewater; Effluent; Sulfonamide; Sulfamerazine; Chromatography; Environmental chemistry; Environmental engineering; Sulfadiazine; Organic chemistry; Antibiotics; Environmental science","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":[0.0004596725,0.0004644479,0.0005250956,0.0002244977,0.000301672,0.0005952944,0.0002197672,0.0004958332,0.0004045595],"category_scores_gemma":[0.0004100886,0.0001712873,0.0005315213,0.0002384896,0.0002197752,0.0003024481,0.0002180131,0.0003498294,0.0001557671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005807616,"about_ca_system_score_gemma":0.0004856865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004054215,"about_ca_topic_score_gemma":0.003518229,"domain_scores_codex":[0.9995556,0.00008659858,0.00003927185,0.0000477325,0.0001843569,0.00008632104],"domain_scores_gemma":[0.9998004,0.00005280765,0.00004860055,0.000008742624,0.00007069774,0.00001877573],"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":[0.0004289191,0.00005002918,0.0004394683,0.00007059437,0.00002418007,0.00004114028,0.00003709918,0.0004996402,0.9964361,0.00003281156,0.00002839723,0.001911585],"study_design_scores_gemma":[0.00001000892,0.000291168,0.00286022,0.000004020407,0.00002470262,0.00002827252,0.0000259143,0.00136458,0.9951208,0.0000144124,0.0002481152,0.000007762223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987673,0.0003355197,0.0004922756,0.00002195905,0.00001305881,0.000007339272,0.00005565649,0.00001156055,0.0002953568],"genre_scores_gemma":[0.9979118,0.0004365265,0.0007509239,0.00003649438,0.000004696294,0.000007510943,0.00007787776,0.000008127347,0.0007660654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004054215,"threshold_uncertainty_score":0.00806123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062045123790799,"score_gpt":0.2315414800305208,"score_spread":0.2209210287926128,"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."}}