{"id":"W3185533154","doi":"10.2217/fon-2021-0370","title":"Prediction and Characterization of Diffuse Large B-Cell Lymphoma Cell-of-Origin Subtypes Using Targeted Sequencing","year":2021,"lang":"en","type":"article","venue":"Future Oncology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Foundation Medicine; H. Lundbeck A/S; Amgen; TG Therapeutics; Genentech; Celgene; F. Hoffmann-La Roche","keywords":"Exome sequencing; Somatic cell; DNA sequencing; Germinal center; Carcinogenesis; Diffuse large B-cell lymphoma; Biology; Ion semiconductor sequencing; Computational biology; Cell of origin; Germline mutation; Genetics; Cell; DNA; Mutation; Gene; B cell; Antibody","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":[],"consensus_categories":[],"category_scores_codex":[0.00007681581,0.0001095602,0.0003489085,0.00007193984,0.00004310942,0.000004003524,0.00002230474,0.0001808675,0.00005339899],"category_scores_gemma":[0.00001354002,0.00009379905,0.00005562551,0.0001558164,0.00003132791,0.00005427941,0.00002906325,0.00004121023,0.000001497252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002864632,"about_ca_system_score_gemma":0.0004512258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003864184,"about_ca_topic_score_gemma":0.00001517878,"domain_scores_codex":[0.9992121,0.00006947599,0.0002625237,0.0001991523,0.0001086336,0.0001481557],"domain_scores_gemma":[0.9994156,0.00004137379,0.000189305,0.0001486319,0.0001381764,0.00006694948],"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":[0.0001414803,0.002856574,0.1219494,0.000227644,0.00006961385,0.0001565736,0.0007895582,9.319122e-7,0.8705537,0.0001713026,0.00006351331,0.003019696],"study_design_scores_gemma":[0.01588276,0.0007183121,0.3158842,0.0001008239,0.0004314488,0.000184845,0.0005570407,0.0006963433,0.6510254,0.0000133858,0.01439918,0.0001063116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997283,0.001030644,0.00007121759,0.000200974,0.0004607961,0.0001770114,0.0001020036,0.00001896909,0.0006553173],"genre_scores_gemma":[0.9972976,0.0005963825,0.001166246,0.0001409137,0.0002939554,0.000008200107,0.0003668593,0.00001364157,0.0001161284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2195284,"threshold_uncertainty_score":0.3825014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892371372503405,"score_gpt":0.262826755363928,"score_spread":0.243903041638894,"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."}}