{"id":"W4285019712","doi":"10.1016/j.ymthe.2022.07.006","title":"Targeting glycans for CAR therapy: The advent of sweet CARs","year":2022,"lang":"en","type":"review","venue":"Molecular Therapy","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Chimeric antigen receptor; Glycan; Cancer research; Antigen; Stromal cell; Cancer; Glycoprotein; Cancer cell; Targeted therapy; Glycosylation; Immunology; Chemistry; Biology; Immunotherapy; Biochemistry; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001423744,0.0006363487,0.00214895,0.0002825413,0.0002144891,0.00003292572,0.0008555989,0.000281525,0.004412645],"category_scores_gemma":[0.0000920037,0.0004074138,0.002136194,0.0006963103,0.0001850563,0.00002241371,0.0001217683,0.0009163918,0.00001126097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003320665,"about_ca_system_score_gemma":0.0008951008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000110582,"about_ca_topic_score_gemma":0.000001714384,"domain_scores_codex":[0.9959665,0.0007333422,0.0008779053,0.0006873042,0.001059533,0.0006754238],"domain_scores_gemma":[0.9972812,0.0005394901,0.0004588999,0.001408143,0.00016458,0.0001477191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003418176,0.0001943415,0.000002062766,0.002139368,0.001781721,0.00006716078,0.0004015894,0.000009676482,0.005480901,0.0000905566,0.0009710309,0.9885198],"study_design_scores_gemma":[0.001893673,0.001113343,6.886104e-7,0.0008035117,0.0003073617,0.00005856573,0.0001221419,0.00001490339,0.001269955,0.00005673401,0.9940398,0.0003192959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003299106,0.9910712,0.0002215909,0.0002508989,0.0003160931,0.006809129,0.0001424296,0.00005632674,0.0008023841],"genre_scores_gemma":[0.00003658087,0.9935116,0.0002087265,0.000533129,0.0002959775,0.002217047,0.0005363429,0.0003333317,0.002327255],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9930688,"threshold_uncertainty_score":0.9998378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0856352043509047,"score_gpt":0.3865383807675735,"score_spread":0.3009031764166688,"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."}}