{"id":"W4366405937","doi":"10.1089/genbio.2023.0008","title":"Engineering T Cell Development for the Next Generation of Stem Cell-Derived Immunotherapies","year":2023,"lang":"en","type":"review","venue":"GEN Biotechnology","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of Manitoba; CancerCare Manitoba; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Stem Cell Network","keywords":"Induced pluripotent stem cell; Stem cell; Cell therapy; Immunotherapy; T cell; Computer science; Medicine; Computational biology; Biology; Immunology; Immune system; Cell biology; Embryonic stem cell","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004524989,0.0003371016,0.001150514,0.0004860606,0.00009063975,0.00001970984,0.0004539414,0.000923817,0.0001456498],"category_scores_gemma":[0.00002113177,0.0002310393,0.0003370678,0.0005208926,0.0001013783,0.00001701696,0.0001636936,0.0005428322,0.00009516398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119736,"about_ca_system_score_gemma":0.000440635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001111281,"about_ca_topic_score_gemma":0.000004525662,"domain_scores_codex":[0.998281,0.00003871968,0.0006541583,0.0004031589,0.0002175928,0.0004053578],"domain_scores_gemma":[0.998562,0.0003005623,0.0002445329,0.0007681416,0.00008973446,0.00003505421],"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":[0.00001353314,0.00002819067,7.207649e-8,0.008734901,0.0003818769,0.000003705233,0.0001328333,0.000004442952,0.2089126,0.00002916161,0.0001938464,0.7815649],"study_design_scores_gemma":[0.0003874718,0.0001228131,3.180074e-7,0.0007978539,0.0002135126,0.000017748,0.00008795338,0.0001650669,0.1585824,0.000001500185,0.839457,0.0001663291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004242347,0.9938652,0.002212731,0.000218564,0.0002966845,0.002732881,0.00001947088,0.0002023704,0.00002788467],"genre_scores_gemma":[0.00003063355,0.9903265,0.002624903,0.00001585595,0.0001677025,0.0007821611,0.0001045656,0.0001378353,0.005809846],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8392631,"threshold_uncertainty_score":0.9421509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.174436808023777,"score_gpt":0.3386897575866703,"score_spread":0.1642529495628934,"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."}}