{"id":"W3157520262","doi":"10.1126/scitranslmed.abe7378","title":"SynNotch-CAR T cells overcome challenges of specificity, heterogeneity, and persistence in treating glioblastoma","year":2021,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":495,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"UCSF Foundation; National Institute of Neurological Disorders and Stroke; National Cancer Institute; National Institutes of Health; University of California, San Francisco; Parker Institute for Cancer Immunotherapy; Howard Hughes Medical Institute","keywords":"Antigen; Chimeric antigen receptor; Cancer research; Priming (agriculture); Biology; Cytotoxic T cell; Immunology; T cell; Glioma; Medicine; Immune system; In vitro","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":[0.0001105131,0.000263009,0.0002169719,0.0001439657,0.00007214439,0.0002373212,0.0001826109,0.0002180921,0.0004744645],"category_scores_gemma":[0.00006863623,0.00007451572,0.0001429249,0.00007996316,0.0001511922,0.0002282049,0.0001844434,0.0004019936,0.0001058954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879004,"about_ca_system_score_gemma":0.0002293256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00039938,"about_ca_topic_score_gemma":0.0009878442,"domain_scores_codex":[0.999934,0.00000988441,0.000005649898,0.00001175129,0.00001547782,0.00002326159],"domain_scores_gemma":[0.9999734,0.000003601684,0.000007493843,0.000003860117,0.000005902461,0.000005603008],"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":[0.0002656707,0.0001200253,0.0004465089,0.0001444081,0.00001891713,0.0001242729,0.00004927155,0.001222589,0.9721934,0.0007169803,0.0002704565,0.02442751],"study_design_scores_gemma":[0.0001941629,0.004865429,0.004904104,0.00002664694,0.0001653338,0.001285156,0.00007076407,0.006032162,0.96714,0.0003900351,0.01490998,0.00001621695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911169,0.002766716,0.004644824,0.0001723628,0.00003753816,0.00007138841,0.00004837227,0.00009511663,0.001046816],"genre_scores_gemma":[0.9965513,0.001078816,0.001480493,0.00007957043,0.00001693614,0.0000255409,0.00006765746,0.00001007988,0.0006895631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004744645,"threshold_uncertainty_score":0.001587212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0760524279981797,"score_gpt":0.3398417503001824,"score_spread":0.2637893223020027,"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."}}