{"id":"W2790045169","doi":"10.1021/acs.est.7b06276","title":"Formation and Occurrence of Iodinated Tyrosyl Dipeptides in Disinfected Drinking Water","year":2018,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Health","keywords":"Chemistry; Tap water; Dipeptide; Chromatography; Chlorine; Mass spectrometry; Chloramination; High-performance liquid chromatography; Tandem mass spectrometry; Iodide; Amino acid; Organic chemistry; Chloramine; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001488957,0.0003480369,0.0001656777,0.0003021093,0.0001416186,0.0003076941,0.0001678258,0.0003020825,0.0002281444],"category_scores_gemma":[0.0001771649,0.0001502687,0.0001982252,0.0002436453,0.0002417151,0.0002034929,0.0001899942,0.0002834863,0.00009459422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936466,"about_ca_system_score_gemma":0.0001817082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009989081,"about_ca_topic_score_gemma":0.0008877081,"domain_scores_codex":[0.9998468,0.00001567949,0.00001046435,0.00005015802,0.00005098736,0.00002581165],"domain_scores_gemma":[0.9998212,0.00002637701,0.00007145452,0.000009052219,0.00005202703,0.00001979779],"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":[0.00007079138,0.00001038119,0.004514414,0.00005078505,0.00001256188,0.0001222342,0.0000667273,0.00004587295,0.9934891,0.00001280635,0.0000108888,0.001593342],"study_design_scores_gemma":[0.000003927299,0.0002473459,0.02475042,0.000006539974,0.00002859285,0.0002492057,0.000141869,0.0004033806,0.9736031,0.00002476597,0.0005329048,0.000007952519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978471,0.0004360302,0.001303076,0.00000940212,0.000003355595,0.000007971063,0.0001085902,0.00001486466,0.0002696644],"genre_scores_gemma":[0.9960046,0.0004563906,0.00288015,0.00003201262,0.000002881004,0.00001117782,0.0002042361,0.000009460601,0.000399178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009989081,"threshold_uncertainty_score":0.001986206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004666967766930851,"score_gpt":0.2019550978689683,"score_spread":0.1972881301020375,"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."}}