{"id":"W4318616170","doi":"10.1038/s41467-023-36126-7","title":"Enhancing CAR-T cell functionality in a patient-specific manner","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; U.S. Food and Drug Administration; Dana-Farber Cancer Institute; National Cancer Institute; National Science Foundation; U.S. Department of Health and Human Services; National Institutes of Health; Hansjörg Wyss Institute for Biologically Inspired Engineering, Harvard University; Harvard University","keywords":"Chimeric antigen receptor; CD28; CD19; T cell; Stimulation; Cell; Antigen; Co-stimulation; Chronic lymphocytic leukemia; Medicine; Immunology; Computational biology; Biology; Leukemia; Immune system; Internal medicine; Genetics","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":[0.0004460406,0.0001053095,0.0001729698,0.0003222081,0.0001617581,0.0000208355,0.0003991042,0.0002339318,0.000860194],"category_scores_gemma":[0.0001175057,0.0001011734,0.00009228941,0.001350152,0.00009735952,0.00005882127,0.0003120696,0.001566943,0.0003853124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002193944,"about_ca_system_score_gemma":0.0001082909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005959007,"about_ca_topic_score_gemma":0.0006865642,"domain_scores_codex":[0.9987198,0.0001716429,0.0002595029,0.0002178438,0.0003678929,0.000263391],"domain_scores_gemma":[0.9973693,0.0004185744,0.00004460297,0.001883769,0.0001917174,0.00009201832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004723127,0.0016016,0.05693931,0.0001672281,0.0001262841,0.00009959158,0.005145883,0.00005800693,0.7720287,0.008927885,0.1088879,0.04554529],"study_design_scores_gemma":[0.0009897628,0.00007945728,0.1020725,0.00006545216,0.00001334093,0.00001632601,0.0009354767,0.0002877331,0.01019925,0.0002872471,0.8849003,0.0001532084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9082003,0.01029261,0.00002102819,0.01421178,0.0003776858,0.0009885253,0.00004156051,0.0003080027,0.06555853],"genre_scores_gemma":[0.9889442,0.001678308,0.0008245238,0.0004648687,0.00007425031,0.0001235333,0.0003685852,0.00002731248,0.007494475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7760124,"threshold_uncertainty_score":0.9418521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04717086020109685,"score_gpt":0.3482251953717439,"score_spread":0.3010543351706471,"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."}}