{"id":"W3158771720","doi":"10.1016/j.ebiom.2021.103354","title":"Delivery technologies for T cell gene editing: Applications in cancer immunotherapy","year":2021,"lang":"en","type":"review","venue":"EBioMedicine","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Canadian Aeronautics and Space Institute; Institute for Translational Medicine and Therapeutics; Burroughs Wellcome Fund","keywords":"Immunotherapy; Cancer immunotherapy; Cancer; Genome editing; Computational biology; Gene; Medicine; Biology; Cancer research; Genome; Genetics","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":[0.0004817558,0.0006680803,0.0008630127,0.002260051,0.0002307358,0.0007736222,0.0005443788,0.001023312,0.002380686],"category_scores_gemma":[0.0003717173,0.0002581841,0.0004982534,0.001730195,0.0004022273,0.001014669,0.000512389,0.001632053,0.001593358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512786,"about_ca_system_score_gemma":0.0005369224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005819527,"about_ca_topic_score_gemma":0.0006865161,"domain_scores_codex":[0.9998376,0.00002742019,0.00001631119,0.00002990455,0.00006950126,0.00001921452],"domain_scores_gemma":[0.9998527,0.00008900117,0.00001884369,0.000004605689,0.00002461167,0.00001032187],"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":[0.00005829208,0.0001080799,0.0001126231,0.01725999,0.00006532177,0.0003436209,0.00008973105,0.0006596982,0.01831085,0.007874435,0.0144388,0.9406785],"study_design_scores_gemma":[0.00002052061,0.0001649385,0.0004241645,0.002352603,0.0000850878,0.001739909,0.00004860911,0.0001817992,0.004991244,0.00240972,0.9875547,0.00002663448],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002789871,0.9972156,0.0006866532,0.0001477096,0.0001367186,0.00001048745,0.00001874266,0.00001339179,0.001491687],"genre_scores_gemma":[0.001077109,0.9974361,0.0005754662,0.0001309589,0.00006848363,0.00001317228,0.00002807707,0.000002908211,0.0006676735],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002380686,"threshold_uncertainty_score":0.007964253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07313519721810581,"score_gpt":0.4149902454000573,"score_spread":0.3418550481819515,"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."}}