{"id":"W2591707817","doi":"10.1182/blood.v114.22.3584.3584","title":"Use of MGMT Resistance to Enrich for Transduced Hematopoietic Cells in Gene Therapy for Fabry Disease.","year":2009,"lang":"en","type":"article","venue":"Blood","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; University Health Network; Ontario Institute for Cancer Research","funders":"","keywords":"Genetic enhancement; Enzyme replacement therapy; Fabry disease; Cancer research; Haematopoiesis; Globotriaosylceramide; Stem cell; Transgene; Viral vector; Hematopoietic stem cell transplantation; Biology; Krabbe disease; Transduction (biophysics); Immunology; Medicine; Disease; Cell biology; Gene; Pathology; Genetics; Leukodystrophy; Recombinant DNA; Biochemistry","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":[0.0003582684,0.0003049585,0.0002324059,0.0003306359,0.0001496953,0.0005342371,0.0001971463,0.0004763469,0.001148034],"category_scores_gemma":[0.0001681205,0.0001512307,0.0002964346,0.0001834119,0.0002053197,0.0002056357,0.0002610633,0.0004820364,0.000666722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002694843,"about_ca_system_score_gemma":0.0001491803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00047446,"about_ca_topic_score_gemma":0.0004483203,"domain_scores_codex":[0.9998211,0.00004387482,0.00001538953,0.00004304862,0.00004669102,0.00002986017],"domain_scores_gemma":[0.9999163,0.00002621002,0.00002011966,0.00001293598,0.00001061783,0.00001376672],"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":[0.00003872919,0.00002783073,0.0001261165,0.00002396131,0.000003348775,0.00002615989,0.00001448568,0.00008659121,0.9955835,0.0001580143,0.00006289847,0.003848461],"study_design_scores_gemma":[0.00001391022,0.0002703007,0.0009725534,0.000006023048,0.00002236516,0.0001784384,0.000007244109,0.001035293,0.9925355,0.00003216601,0.004922153,0.000004075437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104356,0.008333681,0.06768512,0.0004313661,0.0001849363,0.000786086,0.0009722625,0.0006324926,0.0105385],"genre_scores_gemma":[0.9410178,0.003604806,0.0428105,0.0001729361,0.00002817413,0.0002215154,0.001150167,0.0001708928,0.01082326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001148034,"threshold_uncertainty_score":0.003840566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658296750918831,"score_gpt":0.2948950111083464,"score_spread":0.2683120435991581,"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."}}