{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007921815,0.0008296758,0.001218123,0.001321602,0.0002161127,0.00125951,0.0006615792,0.001384221,0.002909302],"category_scores_gemma":[0.0007739684,0.0002267001,0.0005886069,0.001009402,0.0005547466,0.001874982,0.0008080674,0.003780442,0.001289936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006692258,"about_ca_system_score_gemma":0.0006465449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007548155,"about_ca_topic_score_gemma":0.001512193,"domain_scores_codex":[0.999831,0.00003811636,0.00001267227,0.00002623757,0.00006486223,0.00002712717],"domain_scores_gemma":[0.9997193,0.0001541088,0.00002592791,0.000008040951,0.00006278184,0.00002969077],"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":[0.0001766959,0.0001209126,0.0001104775,0.009156214,0.00008879577,0.0002412019,0.0000657711,0.0007009238,0.005641733,0.01664411,0.04597176,0.9210813],"study_design_scores_gemma":[0.00004147128,0.0001567892,0.0002083557,0.001573982,0.00006837426,0.0006389483,0.00004022518,0.000262643,0.00114085,0.004129779,0.9917186,0.00002000318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001642104,0.9974998,0.0003078531,0.0005792166,0.0003374372,0.000004718449,0.0000167769,0.0000101997,0.001079794],"genre_scores_gemma":[0.00140871,0.9962663,0.0004103672,0.0006697995,0.0002744302,0.000008379547,0.00003156975,0.000003344849,0.000927059],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002909302,"threshold_uncertainty_score":0.009732604,"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."}}