{"id":"W4317493828","doi":"10.1111/bcp.15666","title":"Metabolomic identification of predictive and early biomarkers of cisplatin‐induced acute kidney injury in adult head and neck cancer patients","year":2023,"lang":"en","type":"article","venue":"British Journal of Clinical Pharmacology","topic":"Chemotherapy-induced organ toxicity mitigation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Hospital for Sick Children; Western University","funders":"Canadian Institutes of Health Research; Western University","keywords":"Hippuric acid; Cisplatin; Creatinine; Medicine; Acute kidney injury; Urinary system; Urine; Urology; Metabolomics; Renal function; Internal medicine; Pharmacology; Gastroenterology; Chemotherapy; Bioinformatics; Biology","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":[0.0001796593,0.0002772469,0.0004284316,0.0006014976,0.0002804176,0.0005125861,0.0001474995,0.0003331701,0.0009107379],"category_scores_gemma":[0.0005090483,0.0001010331,0.0002880388,0.0006141195,0.0001026948,0.0001948893,0.0002958778,0.0002559222,0.0001675273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004364544,"about_ca_system_score_gemma":0.0003794399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0028326,"about_ca_topic_score_gemma":0.004477313,"domain_scores_codex":[0.9998801,0.00001754501,0.00001461514,0.00003101568,0.00002912095,0.00002757361],"domain_scores_gemma":[0.9998481,0.00001580642,0.00005808892,0.000007431482,0.00004173777,0.00002890562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002244021,0.0001552361,0.9526886,0.000116604,0.0001845762,0.0003805212,0.00009976475,0.0003012172,0.02410092,0.00004409543,0.0005182812,0.0191661],"study_design_scores_gemma":[0.00003314454,0.000712659,0.9898682,0.00002028254,0.0001440855,0.0006074213,0.0001848745,0.001284751,0.006005368,0.0000931616,0.001034901,0.00001124319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972202,0.00105799,0.0002616999,0.00009104277,0.000009629739,0.00003646223,0.0009463372,0.00001198011,0.0003647559],"genre_scores_gemma":[0.9977801,0.0003591393,0.000464393,0.00009532594,0.000008527886,0.00003185175,0.0009636778,0.0000022108,0.000294742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0028326,"threshold_uncertainty_score":0.005632222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02761704334101359,"score_gpt":0.3980516095193778,"score_spread":0.3704345661783642,"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."}}