{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001506664,0.0002989968,0.0002094427,0.0006583874,0.0002198718,0.0002480753,0.0001413794,0.0002770202,0.0004726365],"category_scores_gemma":[0.0001648509,0.0001034781,0.000111974,0.0004197623,0.0001451101,0.0001392257,0.0002427848,0.0001695893,0.0001577624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177873,"about_ca_system_score_gemma":0.0001990066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000499742,"about_ca_topic_score_gemma":0.001192587,"domain_scores_codex":[0.9997974,0.00004223665,0.00001275393,0.00005558048,0.00006576638,0.00002625501],"domain_scores_gemma":[0.9999076,0.00001685726,0.00002234387,0.00000876909,0.00003579527,0.000008703852],"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":[0.00004656147,0.00002053776,0.001676041,0.00006290089,0.000006565095,0.00004234136,0.00003035753,0.0001407485,0.9940431,0.00002329194,0.00002054315,0.003887136],"study_design_scores_gemma":[0.00001032879,0.0003247598,0.02759536,0.00001100932,0.00002466345,0.000220634,0.0002037729,0.001237707,0.9689433,0.0001128235,0.00130315,0.00001243091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942765,0.0007267311,0.003705696,0.00002177521,0.000007493801,0.00002090937,0.0002702429,0.0000311601,0.0009396119],"genre_scores_gemma":[0.9908534,0.001300312,0.005594273,0.00005832713,0.000009251189,0.00004833797,0.0005379338,0.00001111821,0.001587031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006583874,"threshold_uncertainty_score":0.001581132,"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."}}