{"id":"W2404007154","doi":"10.1007/s11356-016-6898-4","title":"The relationship between plasma and urinary 8-hydroxy-2-deoxyguanosine biomarkers measured by liquid chromatography tandem mass spectrometry","year":2016,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Defence Medical Centre","funders":"","keywords":"8-Hydroxy-2'-deoxyguanosine; Urine; Urinary system; Biomarker; Deoxyguanosine; Chemistry; DNA damage; Tandem mass spectrometry; Body mass index; Liquid chromatography–mass spectrometry; Population; Oxidative stress; Internal medicine; Physiology; Medicine; Endocrinology; Urology; DNA; Mass spectrometry; Chromatography; DNA oxidation; Biochemistry; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002251002,0.0001039743,0.00006865078,0.0001286007,0.001440762,0.00005369307,0.0002464699,0.00009615249,0.00001237155],"category_scores_gemma":[0.000247604,0.000066836,0.0000280482,0.0003538755,0.002287387,0.00002648261,0.0003269213,0.0001029699,0.00001144036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008624735,"about_ca_system_score_gemma":0.00005079937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006491647,"about_ca_topic_score_gemma":0.000001646088,"domain_scores_codex":[0.9981171,0.0001674816,0.0001327566,0.0004285784,0.0007181042,0.0004359222],"domain_scores_gemma":[0.9993966,0.0000935505,0.00003849052,0.0002586237,0.00001412075,0.0001986144],"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":[0.0000481483,0.00001775479,0.06153663,0.000001624577,0.00001185521,8.437534e-7,0.00001581816,3.572066e-8,0.9366184,0.0001224555,0.0004842421,0.001142177],"study_design_scores_gemma":[0.0004426239,0.0009267079,0.3023598,0.00001355871,0.000005348692,0.00002031587,0.0001429633,0.000008230225,0.6866387,0.0004371286,0.008864268,0.0001404649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963719,0.001168984,0.0001842638,0.001678768,0.00003453323,0.0002036191,0.00003862066,0.000009051847,0.0003102904],"genre_scores_gemma":[0.998539,0.0007570563,0.0001490859,0.00002634175,0.00004945881,0.00001728294,0.000008186009,0.000009271136,0.0004442686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2499798,"threshold_uncertainty_score":0.9998592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248241578430218,"score_gpt":0.2843244509585995,"score_spread":0.2595002931155778,"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."}}