{"id":"W4387581273","doi":"10.3389/fmolb.2023.1267762","title":"Unlocking the potential of Tregs: innovations in CAR technology","year":2023,"lang":"en","type":"review","venue":"Frontiers in Molecular Biosciences","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Fonds de Recherche du Québec - Santé; Kidney Foundation of Canada","keywords":"Chimeric antigen receptor; Homing (biology); Antigen; Immunology; Receptor; Immunotherapy; FOXP3; Immune system; Cell therapy; Biology; Computational biology; Cell biology; Stem cell; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007387523,0.0004875958,0.000472338,0.0007101801,0.0001872383,0.000860209,0.0005888178,0.0008758061,0.001568697],"category_scores_gemma":[0.0004313718,0.0002228959,0.0005568356,0.0003891785,0.0004724122,0.001417271,0.0005881055,0.002182662,0.000755478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005691018,"about_ca_system_score_gemma":0.0005388922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004789499,"about_ca_topic_score_gemma":0.0003889338,"domain_scores_codex":[0.999708,0.00006183198,0.00001424057,0.00005874278,0.0001074588,0.00004968329],"domain_scores_gemma":[0.9998456,0.00006822477,0.00001894015,0.000008358567,0.00004174651,0.0000171174],"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":[0.0002768209,0.0002434535,0.0006056142,0.005371934,0.00009044953,0.0008822936,0.0003181787,0.002829106,0.2454613,0.07943383,0.009963749,0.6545233],"study_design_scores_gemma":[0.00009034887,0.001474134,0.0007315771,0.0007202027,0.00018843,0.002753915,0.0001584748,0.004270333,0.1753884,0.0142858,0.7998447,0.00009374265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02944873,0.8779011,0.0681916,0.004176959,0.001055045,0.0001184315,0.0001213599,0.0003659107,0.01862086],"genre_scores_gemma":[0.182853,0.7588198,0.04024215,0.00360593,0.001295312,0.0002614965,0.0002733039,0.00008354781,0.01256554],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001568697,"threshold_uncertainty_score":0.005247831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03796710047597518,"score_gpt":0.3643147626166985,"score_spread":0.3263476621407233,"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."}}