{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00559521,0.000509042,0.0008972808,0.0005593816,0.0008750049,0.003998793,0.001260797,0.002309225,0.01178374],"category_scores_gemma":[0.005421624,0.0001754752,0.0004629026,0.0005193751,0.002674815,0.004780206,0.004522387,0.003742335,0.002032645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123366,"about_ca_system_score_gemma":0.004601572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008587647,"about_ca_topic_score_gemma":0.001582391,"domain_scores_codex":[0.9983493,0.0008227894,0.00008356664,0.0001472897,0.0003505289,0.0002465971],"domain_scores_gemma":[0.9966897,0.001509047,0.00042838,0.0002208329,0.0003122755,0.0008398728],"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":[0.001266719,0.0006444608,0.004506508,0.002298418,0.0001670972,0.001305024,0.001349683,0.002378848,0.0290313,0.1873659,0.1294224,0.6402637],"study_design_scores_gemma":[0.0003475802,0.001518701,0.003764152,0.001989532,0.0002173262,0.004129488,0.002989928,0.002535918,0.01977994,0.2721131,0.6904992,0.0001152018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0534535,0.2228714,0.08919927,0.587653,0.005674529,0.0001921661,0.0009196392,0.0008551217,0.03918129],"genre_scores_gemma":[0.4965173,0.3113486,0.0628294,0.1014557,0.009133802,0.0005632669,0.0007647545,0.0005110485,0.01687601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01178374,"threshold_uncertainty_score":0.03942055,"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."}}