{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002086696,0.0001217859,0.000114057,0.0002956846,0.0002091688,0.00001975255,0.0002019368,0.00007620278,0.0004507505],"category_scores_gemma":[0.00001443158,0.00009066372,0.00001521229,0.0006353847,0.003161097,0.0007150972,0.0004058602,0.00007770848,0.0002092431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002571628,"about_ca_system_score_gemma":0.00000291715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008304607,"about_ca_topic_score_gemma":0.00009888162,"domain_scores_codex":[0.998879,0.00001501484,0.0001985638,0.0003406047,0.0002169269,0.0003499523],"domain_scores_gemma":[0.9996997,0.000007482697,0.00006065889,0.000184381,0.000002447221,0.00004531317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005211917,0.00006329903,0.502818,0.000001033061,6.946293e-7,0.00000118344,0.0003641465,0.00001251103,0.489481,0.00003229735,0.000005133296,0.007215398],"study_design_scores_gemma":[0.000261369,0.0002008594,0.338648,0.00001007929,0.000004253928,0.00001534977,0.0001209484,0.0003999163,0.6588752,0.001093901,0.0002650212,0.0001050941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981687,0.00001243533,0.0001221861,0.0001114244,0.00005568704,0.0001710675,0.000002782067,0.00005116882,0.001304557],"genre_scores_gemma":[0.9996384,0.00001721934,0.0002754451,0.00001458141,0.000004124458,0.00001232732,0.000008526526,0.000003632144,0.00002569703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1693942,"threshold_uncertainty_score":0.9995517,"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."}}