{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002978257,0.0001668287,0.0001906293,0.0001163147,0.00008551018,0.00001521208,0.00006956602,0.00007560472,0.0001531251],"category_scores_gemma":[0.00004468532,0.0001238017,0.00006351258,0.0003925432,0.0001139385,0.0002533455,0.0000842563,0.00003376899,0.00001354911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008501246,"about_ca_system_score_gemma":0.00000607126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005010749,"about_ca_topic_score_gemma":0.000008042797,"domain_scores_codex":[0.9988286,0.00006455403,0.000279841,0.000384973,0.0002110488,0.0002309494],"domain_scores_gemma":[0.9995239,0.00001363698,0.00008284782,0.0002665939,0.00002061857,0.0000923801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003102687,0.000435241,0.2563593,0.00001893941,0.00002913825,0.000005156749,0.0003240903,0.00006081527,0.739507,0.000001692124,0.00001421248,0.002934197],"study_design_scores_gemma":[0.0005373863,0.0006195206,0.6178641,0.00002157602,0.00007645501,0.00002146659,0.00002692904,0.00005211759,0.3804634,0.0001753435,0.00003171494,0.0001099493],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982374,0.00004991468,0.00004367529,0.00009650553,0.0001091895,0.0003604322,0.000001892158,0.0000361474,0.001064811],"genre_scores_gemma":[0.9993523,0.00000770021,0.000538951,0.00001468265,0.00001071357,0.000004584567,0.000008025907,0.000009250838,0.00005372717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3615049,"threshold_uncertainty_score":0.5048488,"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."}}