{"id":"W4387817085","doi":"10.1016/j.trac.2023.117385","title":"Swimming pool disinfection byproducts: Analytical characterization of precursors, formation and occurrence, health risks, and future needs","year":2023,"lang":"en","type":"article","venue":"TrAC Trends in Analytical Chemistry","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; Program of Shanghai Academic Research Leader; China Scholarship Council; Canada Research Chairs; Alberta Health; Alberta Innovates; Science and Technology Commission of Shanghai Municipality; Canada Excellence Research Chairs, Government of Canada; National Natural Science Foundation of China; Shanghai Tongji Gao Tingyao Environmental Science and Technology Development Foundation","keywords":"Environmental chemistry; Health risk; Environmental science; Microplastics; Public health; Natural organic matter; Water disinfection; Human health; Water treatment; Chemistry; Environmental engineering; Environmental health; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002082546,0.000140372,0.0001957205,0.0001383431,0.00006997579,0.00003091423,0.00004104227,0.00009415797,0.0002215202],"category_scores_gemma":[0.00001882913,0.0001262696,0.0000318334,0.001109444,0.0001163713,0.0003363069,0.00004504387,0.00012215,0.00001024574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012669,"about_ca_system_score_gemma":0.000006028095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007268399,"about_ca_topic_score_gemma":0.00001173368,"domain_scores_codex":[0.9990085,0.00002881393,0.0002996006,0.0002606121,0.0001820698,0.0002203806],"domain_scores_gemma":[0.9996398,0.0000204797,0.00009949847,0.0001220852,0.000006889841,0.0001112307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001385114,0.0005561977,0.6620175,0.000400731,0.00004477383,0.000006931494,0.001686126,0.0001556379,0.02406218,0.0001343935,0.0009056825,0.3098913],"study_design_scores_gemma":[0.0005035694,0.00007728436,0.9723285,0.00003028915,0.00004559436,0.00001203466,0.0001430895,0.01931976,0.00655972,0.00007040858,0.0007443583,0.000165397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976785,0.00001962391,0.00005372614,0.0008153573,0.00004053922,0.00006538192,0.00003386142,0.00005122595,0.001241781],"genre_scores_gemma":[0.9989445,0.0001775973,0.00001812152,0.00001250723,0.00006319523,0.000004556639,0.0005024998,0.000005946749,0.0002710459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.310311,"threshold_uncertainty_score":0.5149126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323061718374323,"score_gpt":0.285084803865429,"score_spread":0.2618541866816858,"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."}}