{"id":"W4309655877","doi":"10.1093/bfgp/elac038","title":"Deep learning-based classifier of diffuse large B-cell lymphoma cell-of-origin with clinical outcome","year":2022,"lang":"en","type":"article","venue":"Briefings in Functional Genomics","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BC Cancer Agency; Ministry of Education, India; Council of Scientific and Industrial Research, India","keywords":"Diffuse large B-cell lymphoma; Classifier (UML); Artificial intelligence; Machine learning; CHOP; Multilayer perceptron; Lymphoma; Oncology; Perceptron; Overall survival; Internal medicine; Computer science; Medicine; Artificial neural network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004295711,0.0001854623,0.0005059504,0.0001532903,0.0001095642,0.000007076692,0.00009424899,0.00008516785,0.0002827118],"category_scores_gemma":[0.00005483634,0.0001640337,0.0002226783,0.0002355708,0.0000964975,0.00002718,0.000090644,0.0002150808,0.00001317629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004509988,"about_ca_system_score_gemma":0.0004899094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000164396,"about_ca_topic_score_gemma":0.00002128589,"domain_scores_codex":[0.9981501,0.0000934402,0.0007120991,0.0003623909,0.0004245156,0.0002574417],"domain_scores_gemma":[0.9987979,0.0003759642,0.0003706797,0.0002595946,0.0000893977,0.0001064729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001950003,0.01404966,0.9754325,0.00009573075,0.0000893335,0.00008913093,0.0001106451,0.005430077,0.0001977631,0.0004045842,0.0006785433,0.001472045],"study_design_scores_gemma":[0.05026406,0.001879089,0.8200924,0.00002695326,0.0002453414,0.00004352874,0.0002662763,0.005959757,0.001058407,0.00003708666,0.1198793,0.0002477533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968225,0.0003450437,0.0005608459,0.0004067437,0.0002192003,0.0002762418,0.00003349898,0.00002274707,0.001313149],"genre_scores_gemma":[0.9960817,0.00004265406,0.001164555,0.001467753,0.00006616984,0.0000750227,0.00014561,0.00003726844,0.0009193437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.15534,"threshold_uncertainty_score":0.6689098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03483489723150836,"score_gpt":0.2775315387444447,"score_spread":0.2426966415129364,"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."}}