{"id":"W4416910333","doi":"10.1002/cpt.70135","title":"Pathway‐Informed Machine Learning Identifies Genetic Predictors of High‐Dose Methotrexate‐Induced Mucositis in Pediatric Acute Lymphoblastic Leukemia","year":2025,"lang":"en","type":"article","venue":"Clinical Pharmacology & Therapeutics","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; BC Children's Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada; Centers for Disease Control and Prevention; Genome British Columbia; BC Children’s Hospital Foundation; BC Children's Hospital; Michael Smith Health Research BC; Illumina; Provincial Health Services Authority; Thermo Fisher Scientific; Canadian Institutes of Health Research; Genome Canada","keywords":"Mucositis; Single-nucleotide polymorphism; Lymphoblastic Leukemia; Methotrexate; Genetic variation; Area under the curve; Acute lymphocytic leukemia; Risk assessment","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005179311,0.0002664728,0.0002702686,0.0005780854,0.0001843502,0.0004480189,0.000200198,0.0002361131,0.0007477301],"category_scores_gemma":[0.002050344,0.0001108151,0.000377723,0.0005733835,0.0001284146,0.0001641438,0.0002909775,0.0003854013,0.0001077578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005661373,"about_ca_system_score_gemma":0.001117865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01744483,"about_ca_topic_score_gemma":0.0248781,"domain_scores_codex":[0.9998154,0.00008123922,0.00001196466,0.00003879805,0.00002815825,0.00002452801],"domain_scores_gemma":[0.999527,0.000242103,0.000106067,0.00002998314,0.00005977475,0.00003503646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008097917,0.0001595803,0.8590948,0.00007582323,0.000335158,0.000241136,0.00008164792,0.06462242,0.006395609,0.0002809576,0.0005725823,0.06733047],"study_design_scores_gemma":[0.0001235006,0.000270865,0.551092,0.00004258605,0.0003721447,0.0006191249,0.0002128047,0.4392757,0.004014714,0.002603201,0.00134537,0.00002811391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939438,0.0004792357,0.004369498,0.0001692473,0.000003292639,0.00001683193,0.0006435674,0.00006877286,0.0003058004],"genre_scores_gemma":[0.9966338,0.0001749797,0.00241427,0.00002016613,0.000002862502,0.00000860168,0.0006201197,0.000003497067,0.0001217868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01744483,"threshold_uncertainty_score":0.03468657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04262106986820542,"score_gpt":0.3924183025254062,"score_spread":0.3497972326572008,"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."}}