{"id":"W2094030170","doi":"10.1021/ac9018796","title":"NanoLC-MS/MS Analyses of Urinary Desmosine, Hydroxylysylpyridinoline and Lysylpyridinoline as Biomarkers for Chronic Graft-versus-Host Disease","year":2009,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Research in Immunology and Cancer; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Canadian Institutes of Health Research; Astellas Pharma; Canada Research Chairs","keywords":"Desmosine; Chemistry; Urine; Elastin; Urinary system; Biomarker; Graft-versus-host disease; Hematopoietic stem cell transplantation; Gastroenterology; Transplantation; Graft vs Host Reaction; Internal medicine; Chemotherapy; Urology; Pathology; Biochemistry; Medicine; Amino acid","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":[0.0002960672,0.0003569228,0.000255173,0.000710771,0.0002783408,0.000287755,0.0001564472,0.0004286219,0.0005353778],"category_scores_gemma":[0.0003633496,0.00009906918,0.0001448801,0.0003093288,0.0001843024,0.0001373405,0.000190589,0.0002420327,0.0001954036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001774601,"about_ca_system_score_gemma":0.0002360523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006546648,"about_ca_topic_score_gemma":0.0009667943,"domain_scores_codex":[0.9997568,0.00004207862,0.00002107332,0.00007855775,0.0000795854,0.00002186268],"domain_scores_gemma":[0.9998472,0.00004305598,0.00003984489,0.000008002296,0.00003890077,0.00002306855],"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":[0.0004937238,0.0001086898,0.01416989,0.0001042772,0.00004364123,0.0002279658,0.00009545484,0.0001743047,0.9742782,0.00006826901,0.0001261875,0.01010942],"study_design_scores_gemma":[0.00005505494,0.0009873725,0.09308021,0.00004504695,0.0001114429,0.002231606,0.0002049335,0.006653743,0.8936368,0.0001737215,0.002774709,0.00004532433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872765,0.00208094,0.008237121,0.00007770918,0.00004088173,0.00007635398,0.0009762844,0.0001776469,0.001056485],"genre_scores_gemma":[0.977703,0.0009158764,0.01855088,0.0003053325,0.00003104502,0.0001717703,0.0008172898,0.0000229738,0.001481865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000710771,"threshold_uncertainty_score":0.001791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540083307499936,"score_gpt":0.3419483707275576,"score_spread":0.3065475376525583,"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."}}