{"id":"W4392164064","doi":"10.1080/03067319.2024.2322098","title":"Development and application of a sustainable approach for the determination of 95 pharmaceutical substances and metabolites in urban wastewater by means of ultra-high-performance liquid-chromatography-tandem mass spectrometry","year":2024,"lang":"en","type":"article","venue":"International Journal of Environmental & Analytical Chemistry","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Anti-Doping Agency","funders":"","keywords":"Chromatography; Wastewater; Liquid chromatography–mass spectrometry; Tandem mass spectrometry; Chemistry; Mass spectrometry; Tandem; Environmental science; Materials science; 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":[0.001244173,0.0006267626,0.0004685792,0.00120276,0.0003026498,0.0008773407,0.0005383031,0.0009414325,0.000470572],"category_scores_gemma":[0.0004638265,0.0003098031,0.0006377903,0.0006888237,0.0004578524,0.0005711932,0.0009696627,0.0005681081,0.0003639662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005237327,"about_ca_system_score_gemma":0.001799198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005771104,"about_ca_topic_score_gemma":0.00154038,"domain_scores_codex":[0.9990539,0.0002297053,0.00005312957,0.0001490691,0.0004662087,0.00004796626],"domain_scores_gemma":[0.9997662,0.00004692588,0.00003550214,0.00002390993,0.0001003301,0.00002711382],"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":[0.00007388593,0.0001443426,0.00482478,0.0003521925,0.00006224715,0.0001049086,0.00003777883,0.001278597,0.9329109,0.0006399538,0.0001736983,0.05939678],"study_design_scores_gemma":[0.00003231467,0.0008248645,0.009035905,0.00005304603,0.0001119456,0.0005521396,0.0001284655,0.01411961,0.9651622,0.0008771209,0.00905242,0.00005001964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5075748,0.01371208,0.470342,0.0009891324,0.0001287405,0.0006358395,0.0009150449,0.0007523459,0.004950051],"genre_scores_gemma":[0.6543443,0.00575494,0.336756,0.0003497283,0.00002604167,0.0003494136,0.0006504168,0.00002656555,0.001742533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001244173,"threshold_uncertainty_score":0.006579876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008933972180410903,"score_gpt":0.2606494577129448,"score_spread":0.2517154855325339,"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."}}