{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000290478,0.0004550135,0.0003367996,0.0001371107,0.00007998962,0.0006164297,0.0002941512,0.0004773712,0.001140131],"category_scores_gemma":[0.0005478617,0.0001525464,0.0003120108,0.0001421267,0.0001866109,0.0003041536,0.0001518361,0.0002875682,0.0004356847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003011169,"about_ca_system_score_gemma":0.0004300597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004744796,"about_ca_topic_score_gemma":0.0006747044,"domain_scores_codex":[0.9998255,0.00005054166,0.000007019943,0.00004750078,0.00003565286,0.00003378386],"domain_scores_gemma":[0.9998621,0.00005832854,0.00003034292,0.00001646645,0.00001913818,0.00001357385],"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":[0.0005615455,0.0002511549,0.007509632,0.0001419107,0.00004313494,0.0002532699,0.00008371151,0.3044237,0.6633055,0.002856765,0.0006367576,0.01993292],"study_design_scores_gemma":[0.00004270927,0.0009127501,0.002498684,0.00001019141,0.00006445913,0.0003466666,0.00004337623,0.6755763,0.3164657,0.001169269,0.002846881,0.00002293535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196244,0.0004387133,0.07615273,0.0001309438,0.00001641323,0.00005920374,0.0005406035,0.0003072318,0.002729726],"genre_scores_gemma":[0.992735,0.0002458882,0.00593394,0.00002907656,0.000003496827,0.00003769851,0.0002254386,0.00001548856,0.0007737933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001140131,"threshold_uncertainty_score":0.003814101,"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."}}