{"id":"W2044833898","doi":"10.1016/s0021-9673(02)00088-2","title":"Analysis of acidic drugs in the effluents of sewage treatment plants using liquid chromatography–electrospray ionization tandem mass spectrometry","year":2002,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":244,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Chemistry; Chromatography; Clofibric acid; Naproxen; Bezafibrate; Electrospray ionization; Effluent; Ketoprofen; Liquid chromatography–mass spectrometry; Gemfibrozil; Mass spectrometry; Ibuprofen; Tandem mass spectrometry; Electrospray; Pharmacology","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":[0.0002569266,0.0003986974,0.0003816434,0.000801873,0.0004620965,0.0005746583,0.0001738386,0.0006700915,0.0006660809],"category_scores_gemma":[0.0004824805,0.0001639839,0.0002419748,0.000455543,0.000357459,0.0003269142,0.0002412972,0.0003824953,0.0003047614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623611,"about_ca_system_score_gemma":0.0004770576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492348,"about_ca_topic_score_gemma":0.002219589,"domain_scores_codex":[0.9996885,0.00004732165,0.00003307928,0.00005374974,0.0001489828,0.00002834182],"domain_scores_gemma":[0.9997221,0.00007556652,0.0000475522,0.000008780507,0.0001015914,0.00004450876],"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":[0.0004406022,0.00006801639,0.006587611,0.00009970976,0.00003654221,0.000127954,0.00008729131,0.0001889559,0.9843054,0.00004489311,0.00009027583,0.007922768],"study_design_scores_gemma":[0.00005189362,0.000691841,0.05201088,0.00003302311,0.00008635449,0.0007624385,0.000198895,0.00279271,0.9397798,0.0001244442,0.003434882,0.00003284468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912148,0.001747002,0.004442502,0.0001152552,0.00002864193,0.00003248671,0.0004472279,0.00008261414,0.001889501],"genre_scores_gemma":[0.9885737,0.001420384,0.006586619,0.0002204562,0.00003450261,0.0000239724,0.0007421382,0.00002367256,0.002374495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001492348,"threshold_uncertainty_score":0.002967298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933125989393006,"score_gpt":0.2663739713943544,"score_spread":0.2470427115004244,"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."}}