{"id":"W4407974813","doi":"10.1016/j.jtct.2025.01.754","title":"Unlocking Gene Therapy for Sickle Cell Disease: Addressing the Resource Gap for Patients","year":2025,"lang":"en","type":"article","venue":"Transplantation and Cellular Therapy","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Disease; Genetic enhancement; Medicine; Resource (disambiguation); Intensive care medicine; Gene; Internal medicine; Genetics; Computer science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009944296,0.0001141946,0.00007567456,0.00002441605,0.0001836636,0.00003246299,0.00008571993,0.00005183412,0.000002656848],"category_scores_gemma":[0.000003161636,0.00008824787,0.00007417853,0.00003920007,0.00002627311,0.000002487618,0.000004246597,0.00003058357,1.606008e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003071017,"about_ca_system_score_gemma":0.0000203557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001714303,"about_ca_topic_score_gemma":0.000001315792,"domain_scores_codex":[0.9994563,0.00002399192,0.0001204267,0.0002006343,0.00005531146,0.0001433669],"domain_scores_gemma":[0.9997238,0.00003511081,0.00002916805,0.00013719,0.00003947359,0.00003524408],"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":[0.001486239,0.0001034469,0.001400391,0.0001576743,0.00006650812,4.124158e-7,0.0004261653,0.0006816275,0.9615642,0.0001255212,0.0004819918,0.03350581],"study_design_scores_gemma":[0.003424682,0.0001648996,0.002048134,0.00002248549,0.00003002904,2.79405e-7,0.00005494317,0.000543041,0.9135989,0.000139435,0.07982837,0.0001448175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7590528,0.009644257,0.2300381,0.0001729882,0.0001092735,0.0007408849,0.00006827018,0.00001343444,0.0001600509],"genre_scores_gemma":[0.9941267,0.003649121,0.0004556369,0.0004943681,0.00009751258,0.0001212946,0.00060814,0.00001927986,0.0004279559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2350739,"threshold_uncertainty_score":0.3598644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805442768508194,"score_gpt":0.2942440261780873,"score_spread":0.2761895984930053,"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."}}