{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007585887,0.0001656657,0.0003034547,0.001149216,0.0002722052,0.0005307897,0.0002258813,0.0002632577,0.0006329733],"category_scores_gemma":[0.001658152,0.0001265623,0.0003648635,0.0007595507,0.0001992019,0.0001952645,0.0004248474,0.0002457736,0.0001359715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003915674,"about_ca_system_score_gemma":0.0003650344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004344143,"about_ca_topic_score_gemma":0.005666957,"domain_scores_codex":[0.9996117,0.0001311661,0.00002559343,0.0001091657,0.00006290609,0.00005943998],"domain_scores_gemma":[0.9995964,0.0001434808,0.000131042,0.00005757084,0.00003386148,0.00003767875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00049982,0.00002937577,0.955433,0.00001806892,0.0001196056,0.0001291659,0.0001235589,0.002877797,0.01319929,0.0002846515,0.0002538076,0.02703189],"study_design_scores_gemma":[0.00003894645,0.0001560978,0.9658685,0.00001257892,0.0001136428,0.00113308,0.0003002337,0.02644194,0.002468691,0.002212776,0.001233307,0.00002021335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974301,0.0001894993,0.001879631,0.00003767981,0.000001199271,0.00001447852,0.0002239817,0.00002183185,0.0002015855],"genre_scores_gemma":[0.9983436,0.00005372736,0.001032247,0.00001413187,0.000003181977,0.00001039953,0.0004564244,0.000006754507,0.00007949467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004344143,"threshold_uncertainty_score":0.008637726,"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."}}