{"id":"W4285491618","doi":"10.1200/jco.21.02707","title":"Gene Expression Signatures for the Accurate Diagnosis of Peripheral T-Cell Lymphoma Entities in the Routine Clinical Practice","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Cancer Institute","keywords":"Medicine; Gene signature; Gene expression profiling; Peripheral T-cell lymphoma; Cohort; Pathology; Lymphoma; Transcriptome; Oncology; Internal medicine; Gene expression; Bioinformatics; Computational biology; Gene; T cell; Immunology; Biology","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":[0.002527282,0.0004350645,0.0006576593,0.001739045,0.0002666914,0.001319554,0.0005624148,0.0006096518,0.001173395],"category_scores_gemma":[0.006220385,0.0001933123,0.0003227718,0.001222453,0.0004390493,0.0006524878,0.0005617419,0.0007440024,0.0006468611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005848611,"about_ca_system_score_gemma":0.0008913301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009710861,"about_ca_topic_score_gemma":0.001363676,"domain_scores_codex":[0.9984347,0.0003869575,0.0001764495,0.0003525766,0.0005545587,0.00009477378],"domain_scores_gemma":[0.9979426,0.0007287684,0.0004470263,0.0002526098,0.0005017628,0.0001271452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008670747,0.0002750179,0.7530825,0.0003958828,0.0002072916,0.0003034163,0.0002344618,0.004277441,0.07745852,0.0005521348,0.004281924,0.1580644],"study_design_scores_gemma":[0.00008716848,0.0007226834,0.8666238,0.0002542823,0.0004221128,0.001753639,0.0004571293,0.05936636,0.05226674,0.002395272,0.01559992,0.000050888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282842,0.008464722,0.05094786,0.002596415,0.0001712274,0.0003378225,0.004106353,0.0009122252,0.004179247],"genre_scores_gemma":[0.9560971,0.001023196,0.03906749,0.00052078,0.0001340409,0.000188217,0.002413356,0.00005356808,0.0005021744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002527282,"threshold_uncertainty_score":0.01336569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195070230908822,"score_gpt":0.4705455787117762,"score_spread":0.3510385556208939,"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."}}