{"id":"W4376226544","doi":"10.1182/bloodadvances.2022007059","title":"CD38 as a pan-hematologic target for chimeric antigen receptor T cells","year":2023,"lang":"en","type":"article","venue":"Blood Advances","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Incyte; Andrew McDonough B+ Foundation; American Society of Clinical Oncology; American Association for Cancer Research; St. Baldrick's Foundation; Stand Up To Cancer; National Cancer Institute; Entertainment Industry Foundation; Gilead Sciences; Canadian Institutes of Health Research; Leukemia and Lymphoma Society","keywords":"Chimeric antigen receptor; CD38; Cart; Haematopoiesis; Antigen; Cancer research; Medicine; Immunology; Myeloid leukemia; Immunotherapy; T cell; Myeloid; Leukemia; Stem cell; Biology; CD34; Immune system; Cell biology","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":[0.0002276008,0.0004950527,0.0002066279,0.0002824743,0.000201901,0.0003871451,0.0003862269,0.0005107299,0.002442656],"category_scores_gemma":[0.0001229453,0.0001471965,0.0002243214,0.0001801432,0.0002267675,0.0003736194,0.000392904,0.0009960762,0.000522088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007457674,"about_ca_system_score_gemma":0.0003944713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055756,"about_ca_topic_score_gemma":0.001342921,"domain_scores_codex":[0.999806,0.00004402228,0.000007192007,0.00004512576,0.00004851492,0.00004925703],"domain_scores_gemma":[0.9999568,0.000007174964,0.000007239049,0.000007371772,0.000006995834,0.00001426564],"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":[0.0002124934,0.0001711849,0.0002317846,0.0001095006,0.0000128383,0.000192466,0.0000616258,0.0008252095,0.9776434,0.002751031,0.0008472392,0.01694127],"study_design_scores_gemma":[0.0001447142,0.001532763,0.0009229769,0.00002428877,0.00004244963,0.001738175,0.00003650906,0.005143602,0.9382507,0.0004251666,0.05172478,0.00001376942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9284977,0.01566356,0.03503441,0.001370741,0.0002315216,0.0005760207,0.0006441431,0.0007445519,0.01723726],"genre_scores_gemma":[0.9746713,0.002937976,0.01611867,0.0001908339,0.00003138789,0.0001970881,0.0003955336,0.00003741186,0.005419758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002442656,"threshold_uncertainty_score":0.008171499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267371039918525,"score_gpt":0.3417820071623222,"score_spread":0.3150449031704697,"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."}}