{"id":"W4417020800","doi":"10.1182/blood-2025-897","title":"Machine learning-based body composition analysis for risk stratification in newly diagnosed diffuse large B cell lymphoma","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Diffuse large B-cell lymphoma; Risk stratification; International Prognostic Index; Interim analysis; Lymphoma; Computed tomography; Interim","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":[0.001081327,0.0005286922,0.0005952393,0.001209534,0.0002210055,0.0007228088,0.0004195515,0.0003965618,0.001165295],"category_scores_gemma":[0.003488526,0.0001726134,0.0007202025,0.0005652065,0.0001413969,0.0003053311,0.000577502,0.0007841689,0.000414305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004859269,"about_ca_system_score_gemma":0.0003440203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003582378,"about_ca_topic_score_gemma":0.003466343,"domain_scores_codex":[0.9996232,0.0001576574,0.00002781242,0.00009843711,0.00005955125,0.0000333327],"domain_scores_gemma":[0.9992141,0.000338394,0.0001460781,0.00007471287,0.0001420156,0.00008475794],"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":[0.002592124,0.0005900364,0.7346255,0.0001300301,0.0006719455,0.0002890805,0.00006534285,0.08468511,0.01062973,0.0006402675,0.004485008,0.1605959],"study_design_scores_gemma":[0.0001340369,0.0003487139,0.1443909,0.00004052224,0.0002095633,0.000253328,0.00005846717,0.8472174,0.003546282,0.001934453,0.001824185,0.00004211288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483824,0.001957783,0.04371992,0.0007871773,0.00009513588,0.0001328117,0.002821448,0.0008509074,0.001252411],"genre_scores_gemma":[0.979914,0.0002010194,0.01696419,0.0001802105,0.00006431913,0.00007476022,0.002229234,0.00003779742,0.0003343978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003582378,"threshold_uncertainty_score":0.007123053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297648227388603,"score_gpt":0.2961979228927923,"score_spread":0.2832214406189063,"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."}}