{"id":"W4401392108","doi":"10.1038/s41408-024-01111-w","title":"Identification of genetic subtypes in follicular lymphoma","year":2024,"lang":"en","type":"article","venue":"Blood Cancer Journal","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Jewish General Hospital; Vector Institute; Princess Margaret Cancer Centre; Queen's University; University of Toronto; University Health Network","funders":"National Cancer Institute; Terry Fox Research Institute; Government of Canada; Deutsche Forschungsgemeinschaft; National Institutes of Health; Princess Margaret Cancer Foundation; Leukemia and Lymphoma Society of Canada; F. Hoffmann-La Roche; Génome Québec; Canadian Institutes of Health Research; Else Kröner-Fresenius-Stiftung; Leukemia and Lymphoma Society","keywords":"Identification (biology); Follicular lymphoma; Lymphoma; Medicine; Computational biology; Hematology; Internal medicine; Biology; Bioinformatics; Immunology; Oncology; Genetics; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001177222,0.00007065979,0.0001534706,0.0001380439,0.00002167634,0.00003473103,0.00004178548,0.00003608908,0.0001134129],"category_scores_gemma":[0.00001190674,0.00005291435,0.00009621488,0.0001884546,0.00001748587,0.00004755921,0.000007821416,0.00004485372,0.00001323231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001415835,"about_ca_system_score_gemma":0.0002957411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001155302,"about_ca_topic_score_gemma":0.00003166993,"domain_scores_codex":[0.9992436,0.00001903934,0.0003114129,0.0001174316,0.0001938551,0.0001146396],"domain_scores_gemma":[0.9997029,0.00001835902,0.00006332678,0.0001009064,0.00005095676,0.00006355526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008119151,0.001100295,0.7776253,0.0003035848,0.0008072935,0.002128099,0.0006056355,0.00009698176,0.02704095,0.0003435069,0.001363196,0.188504],"study_design_scores_gemma":[0.002604822,0.0001426388,0.9163316,0.0006413239,0.0005732854,0.00107702,0.0000432879,0.000245497,0.07537966,0.000274495,0.002618284,0.00006809015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415396,0.05720501,0.00002641043,0.0006777789,0.0002982819,0.00009995464,0.000005721971,0.00001028251,0.0001369634],"genre_scores_gemma":[0.9938968,0.005510137,0.0001133049,0.00005127209,0.0002165695,0.00002942858,0.000001442614,0.00001087983,0.0001701683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1884359,"threshold_uncertainty_score":0.2157785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047775707320659,"score_gpt":0.2798505639844227,"score_spread":0.2693728069112161,"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."}}