{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004621685,0.0004240563,0.0007016493,0.001905861,0.0003829081,0.002471858,0.000561695,0.0008020889,0.002349799],"category_scores_gemma":[0.01341675,0.0001856059,0.000370981,0.001215233,0.0007653736,0.00146012,0.0009787692,0.001578899,0.0007220313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009093952,"about_ca_system_score_gemma":0.001013337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007234786,"about_ca_topic_score_gemma":0.0009401508,"domain_scores_codex":[0.9978104,0.001519316,0.0001532371,0.0001757231,0.0002516313,0.00008975373],"domain_scores_gemma":[0.9954898,0.003306117,0.0003921274,0.0002329486,0.0004097462,0.0001693033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001023764,0.0001538642,0.09667355,0.000628657,0.0002298649,0.001161851,0.0007323304,0.007521346,0.01374392,0.0207604,0.01739324,0.8399771],"study_design_scores_gemma":[0.0003709628,0.001418027,0.199251,0.00307431,0.001029187,0.00906789,0.004137985,0.09018017,0.04138305,0.3477675,0.3019868,0.0003332404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2654511,0.1594541,0.428446,0.1001517,0.003008752,0.000672225,0.003616692,0.001745386,0.03745396],"genre_scores_gemma":[0.7932948,0.02778351,0.1675335,0.005832605,0.00208823,0.0002897084,0.001390002,0.0001203899,0.001667271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004621685,"threshold_uncertainty_score":0.02444208,"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."}}