{"id":"W4411236837","doi":"10.1016/j.htct.2025.103847","title":"Multi-cohort gene expression model enhances prognostic stratification in diffuse large B-cell lymphoma","year":2025,"lang":"en","type":"letter","venue":"Hematology Transfusion and Cell Therapy","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Stratification (seeds); Lymphoma; Risk stratification; Diffuse large B-cell lymphoma; Cohort; Prognostic model; Oncology; Expression (computer science); Internal medicine; Computational biology; Cancer research; Overall survival; Biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001350989,0.0005223933,0.0009555944,0.0002861082,0.0001416472,0.00002903672,0.0001306256,0.001112958,0.00007501087],"category_scores_gemma":[0.000005745794,0.0003956651,0.0001877181,0.0001549823,0.00008012922,0.00005495743,0.00002043019,0.0004092712,0.00001293762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008010626,"about_ca_system_score_gemma":0.0002356928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000497674,"about_ca_topic_score_gemma":0.0000349277,"domain_scores_codex":[0.9975967,0.0001566846,0.0005859222,0.0009127071,0.0002761632,0.0004717807],"domain_scores_gemma":[0.9990312,0.00016896,0.0001484858,0.000491744,0.00006431586,0.00009529919],"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":[0.002877326,0.1266554,0.2145235,0.006706663,0.0006915731,0.005412695,0.005790865,0.00001093655,0.4200727,0.0001987145,0.1990732,0.01798647],"study_design_scores_gemma":[0.09337476,0.0006484308,0.01125378,0.00135292,0.0004914728,0.0002015398,0.0001818387,0.004333666,0.8565064,0.000180176,0.03044723,0.001027802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9387282,0.01303533,0.001709424,0.0419492,0.0002427427,0.002872297,0.00007133758,0.000116456,0.001274993],"genre_scores_gemma":[0.7704971,0.09663884,0.004050345,0.1210527,0.0001762979,0.00172253,0.001496514,0.00009744679,0.004268145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4364337,"threshold_uncertainty_score":0.9998495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725943576751118,"score_gpt":0.2623720095328373,"score_spread":0.2451125737653262,"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."}}