{"id":"W4389242311","doi":"10.1002/ajh.27167","title":"Dosage of high‐dose methotrexate as <scp>CNS</scp> prophylaxis in <scp>DLBCL: A</scp> detailed analysis of toxicity and impact on <scp>CNS</scp> relapse","year":2023,"lang":"en","type":"letter","venue":"American Journal of Hematology","topic":"CNS Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Texas MD Anderson Cancer Center; Centre Léon Bérard; Cambridge University Hospitals; BeiGene; Aalborg Universitet; Gilead Sciences; Atara Biotherapeutics; Assistance publique-Hôpitaux de Paris; University Hospital Southampton NHS Foundation Trust; Aalborg Universitetshospital; Incyte; Brown University; University of Cambridge; University Hospitals Bristol NHS Foundation Trust; Celgene","keywords":"Methotrexate; Medicine; Retrospective cohort study; Internal medicine; Oncology; Lymphoma; Toxicity; Antifolate; Antimetabolite","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002347495,0.0002523496,0.00076018,0.0003891516,0.0001298346,0.0006878639,0.0003370564,0.0003522337,0.0008152482],"category_scores_gemma":[0.003904606,0.0001773551,0.001854522,0.001241231,0.0002715546,0.0003914577,0.0002483006,0.000479374,0.0001520278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006596551,"about_ca_system_score_gemma":0.0004879097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007632501,"about_ca_topic_score_gemma":0.001051235,"domain_scores_codex":[0.9981298,0.0009342748,0.0002739019,0.0001920674,0.000363272,0.0001066797],"domain_scores_gemma":[0.9962697,0.001402928,0.001398913,0.0004762369,0.0001933481,0.0002588112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0727243,0.0007685386,0.7202563,0.001210158,0.009364078,0.0007672972,0.0001840704,0.004701144,0.006158681,0.0002451968,0.0008332813,0.1827869],"study_design_scores_gemma":[0.001988621,0.02700804,0.952746,0.0001709728,0.00677829,0.00202576,0.0000848937,0.002074596,0.003078067,0.0002111051,0.003797908,0.00003581394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9889563,0.009555519,0.0006216622,0.00006560714,0.00001024979,0.00003915792,0.0003815317,0.000008626539,0.0003614011],"genre_scores_gemma":[0.9974493,0.00166514,0.0001927138,0.00008011946,0.00004130554,0.00001657697,0.0004355271,0.000007779732,0.000111421],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.002347495,"threshold_uncertainty_score":0.01241493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364114248516474,"score_gpt":0.2928576976669626,"score_spread":0.2792165551817979,"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."}}