{"id":"W2015053214","doi":"10.1007/s00216-006-0951-y","title":"Trends in the detection of pharmaceutical products, and their impact and mitigation in water and wastewater in North America","year":2006,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Wastewater; Environmental science; Waste management; Engineering; Environmental engineering","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":[0.0006176429,0.0001336683,0.0002151694,0.001645319,0.0003779329,0.0008719271,0.0003497941,0.0006581308,0.0007623323],"category_scores_gemma":[0.001371761,0.0001609898,0.0002305368,0.002522843,0.0005002684,0.0008282835,0.0002884794,0.000467157,0.0001554686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002138029,"about_ca_system_score_gemma":0.001742236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1328205,"about_ca_topic_score_gemma":0.2101682,"domain_scores_codex":[0.9993581,0.00006874652,0.0001042938,0.0001336526,0.0002530883,0.00008220071],"domain_scores_gemma":[0.9972464,0.0003619859,0.0009521322,0.00003410165,0.001244616,0.0001608513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001952695,0.0001153351,0.9544542,0.0002458455,0.00008594384,0.0001444373,0.00106024,0.0003419909,0.007466863,0.0003656693,0.002336007,0.03318821],"study_design_scores_gemma":[0.000002106396,0.00004962499,0.992882,0.00002129839,0.0000230876,0.0001809247,0.001002068,0.0002894232,0.00111479,0.000078447,0.004349244,0.000006967947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892461,0.003290026,0.000420544,0.002089167,0.00002885984,0.00001276697,0.001901964,0.00004428833,0.00296637],"genre_scores_gemma":[0.9924419,0.003153898,0.0008254285,0.0006645332,0.0000389595,0.00001474828,0.00144425,0.000006182645,0.001410278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8671795,"threshold_uncertainty_score":0.2640948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191587405756017,"score_gpt":0.2550402820745607,"score_spread":0.2431244080170005,"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."}}