{"id":"W2115798493","doi":"10.1080/13547500903079186","title":"Reliability of using urinary and blood trichloroacetic acid as a biomarker of exposure to chlorinated drinking water disinfection byproducts","year":2009,"lang":"en","type":"article","venue":"Biomarkers","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Health; Alberta Health Services","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada","keywords":"Urine; Urinary system; Intraclass correlation; Ingestion; Trichloroacetic acid; Blood sampling; Excretion; Biomarker; Tap water; Creatinine; Chemistry; Physiology; Medicine; Internal medicine; Chromatography; Biochemistry; Reproducibility; Environmental science; Environmental engineering","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":[0.01037031,0.0004246627,0.0006277798,0.0007800129,0.0002698342,0.0008648674,0.0004681292,0.0006888398,0.0003226032],"category_scores_gemma":[0.02990062,0.0004340275,0.000461564,0.0006204522,0.0007134152,0.0004077466,0.0006513076,0.0004035148,0.0002781349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001968523,"about_ca_system_score_gemma":0.0002871961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002316848,"about_ca_topic_score_gemma":0.002153792,"domain_scores_codex":[0.9883455,0.006339708,0.001037366,0.00160894,0.002362209,0.0003062561],"domain_scores_gemma":[0.9643353,0.01933248,0.005434648,0.003171396,0.00733391,0.0003922468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001111844,0.0001042981,0.9770175,0.00007670694,0.0005058869,0.00003357207,0.00108995,0.000535888,0.00614922,0.00004309658,0.0001223131,0.01320972],"study_design_scores_gemma":[0.00002397835,0.001297507,0.9893909,0.00002350928,0.0002481078,0.000230182,0.000445783,0.00313809,0.004501777,0.0001228932,0.0005487868,0.0000284439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960038,0.0003273197,0.002886684,0.00002428691,0.00002314933,0.00002654658,0.0001080024,0.00001354338,0.0005866085],"genre_scores_gemma":[0.997965,0.00009013298,0.001522064,0.00002142639,0.00001819107,0.00001985204,0.000138384,0.00000659969,0.0002183665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01037031,"threshold_uncertainty_score":0.05484414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149611864185418,"score_gpt":0.2291283496668872,"score_spread":0.217632231025033,"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."}}