{"id":"W1919610996","doi":"10.1039/c5mb00492f","title":"Discovery of urinary metabolomic biomarkers for early detection of acute kidney injury","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; University of Ottawa","funders":"National Research Foundation of Korea; Royal Society of Chemistry; Royal Society","keywords":"Lipocalin; Acute kidney injury; Urinary system; Creatinine; Kidney; Internal medicine; Blood urea nitrogen; Endocrinology; Nephrotoxicity; Medicine; Cystatin C; Kidney disease; Osteopontin; Urine; Pharmacology; Urology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004330239,0.0007589727,0.0008133283,0.001349493,0.0001528406,0.0005718278,0.0002185152,0.0008250873,0.0003978351],"category_scores_gemma":[0.0005396871,0.0002290051,0.0004522469,0.0007946115,0.0002090052,0.0005242095,0.0003572469,0.0006554271,0.0001442409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002868918,"about_ca_system_score_gemma":0.000333066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004255944,"about_ca_topic_score_gemma":0.000908041,"domain_scores_codex":[0.9997228,0.00005888803,0.00002188009,0.00007467993,0.00009137594,0.00003032941],"domain_scores_gemma":[0.999624,0.00004651356,0.0001792106,0.00001667858,0.0000874217,0.00004609445],"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":[0.0008823264,0.0001601791,0.02195009,0.00049372,0.0002517687,0.0001882337,0.00003373724,0.0003892954,0.9444031,0.0002136727,0.0004185866,0.03061541],"study_design_scores_gemma":[0.00007021971,0.002010437,0.1219815,0.0001036754,0.0004950126,0.000879207,0.0001260917,0.007302989,0.8597365,0.001030925,0.006180472,0.00008289384],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8767036,0.05689805,0.05932144,0.001012788,0.0003626564,0.0003114079,0.0032607,0.0006550022,0.001474454],"genre_scores_gemma":[0.9410145,0.01525696,0.03961571,0.000797215,0.0001431071,0.0001926295,0.001656461,0.00003441872,0.001288971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001349493,"threshold_uncertainty_score":0.00229007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212618707006427,"score_gpt":0.3123627119304537,"score_spread":0.2911008412298111,"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."}}