{"id":"W2155129824","doi":"10.1002/mrc.4169","title":"Non‐targeted analyses of organic compounds in urban wastewater","year":2014,"lang":"en","type":"article","venue":"Magnetic Resonance in Chemistry","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Central Board of Irrgation and Power","keywords":"Wastewater; Effluent; Sewage treatment; Sewage; Chemistry; Pollution; Environmental chemistry; Pollutant; Activated sludge; Environmental science; Environmental engineering; Organic chemistry; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002671528,0.0001259807,0.0002497664,0.00002807759,0.00001902231,0.00001300203,0.0002771583,0.00007401135,0.0008532421],"category_scores_gemma":[0.00004215517,0.0001148135,0.00004983914,0.0004234126,0.0001286637,0.00004309718,0.0001086062,0.0001323423,0.00003918073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008095404,"about_ca_system_score_gemma":0.000005706803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008051172,"about_ca_topic_score_gemma":0.00003588142,"domain_scores_codex":[0.9988166,0.00003885653,0.0003613083,0.0002963487,0.0002397097,0.0002471746],"domain_scores_gemma":[0.9995043,0.00003875218,0.00006355914,0.000339767,0.000005408372,0.00004817926],"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":[0.000005791682,0.00005351022,0.3439998,0.00002432113,0.000001122827,0.000002905655,0.0002132405,0.0001645457,0.6547768,8.827539e-8,0.0001521613,0.00060573],"study_design_scores_gemma":[0.0003349616,0.00002127146,0.2187956,0.00005281841,0.000007544626,0.000001044853,0.00007669336,0.001319795,0.7780232,0.00007643319,0.001151054,0.0001396166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997072,0.0002459386,0.000003613508,0.00006280517,0.00002049361,0.00003213591,0.000001459187,0.00000940592,0.002552092],"genre_scores_gemma":[0.9976247,0.00001561201,0.0002804367,0.0000107466,0.00003750173,0.00000731454,0.000005443284,0.000009432777,0.002008823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1252042,"threshold_uncertainty_score":0.9342403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485310614046536,"score_gpt":0.249564021130157,"score_spread":0.2347109149896916,"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."}}