{"id":"W4292977925","doi":"10.1182/blood.2022015854","title":"Genomic profiling for clinical decision making in lymphoid neoplasms","year":2022,"lang":"en","type":"article","venue":"Blood","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Spinal Cord Injury BC; Simon Fraser University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Cancer Institute; Cancer Research UK; Barts Charity","keywords":"Computational biology; Disease; Genomics; Immunophenotyping; Epigenetics; Biology; Genome; Bioinformatics; Medicine; Pathology; Genetics; Gene","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":[0.0003784868,0.00008808574,0.0002427696,0.00007725527,0.0000960125,0.000009811501,0.00006621679,0.00003841472,0.0000654881],"category_scores_gemma":[0.0001151214,0.00007721777,0.0001374222,0.0001006012,0.00001156208,0.000017476,0.00009587737,0.0000676448,0.00001386311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629988,"about_ca_system_score_gemma":0.0001670652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009731548,"about_ca_topic_score_gemma":0.000007553615,"domain_scores_codex":[0.9990018,0.00003433149,0.0003452718,0.0002722197,0.0001537212,0.0001926254],"domain_scores_gemma":[0.9992551,0.0004167883,0.00006482095,0.0001943348,0.00001673952,0.0000521925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003708619,0.00242423,0.9572601,0.00001693982,0.00005162772,0.0001596517,0.0000636543,0.00002697594,0.0002199112,0.0001613509,0.0002557791,0.03898895],"study_design_scores_gemma":[0.05299418,0.002460264,0.9220427,0.0001742434,0.0005287062,0.0007239543,0.0003136398,0.001480661,0.004536136,0.0008828542,0.0135864,0.0002762701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973667,0.001010708,0.00006350918,0.00013392,0.0002483264,0.0007068346,0.00001954524,0.00002847131,0.0004219872],"genre_scores_gemma":[0.985673,0.00008068656,0.01315674,0.0004426576,0.0001319637,0.0004247362,0.00002674329,0.00001891545,0.00004460787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05262332,"threshold_uncertainty_score":0.314885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04121058357632763,"score_gpt":0.3566992800359085,"score_spread":0.3154886964595809,"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."}}