{"id":"W4379769519","doi":"10.3324/haematol.2023.283031","title":"Correcting the aberrant Fanconi anemia transcriptional program by gene therapy","year":2023,"lang":"en","type":"letter","venue":"Haematologica","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; SickKids Foundation","funders":"","keywords":"Fanconi anemia; Genetic enhancement; Anemia; Medicine; Gene; Genetics; Biology; Cancer research; Internal medicine; DNA repair","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001610373,0.0003696437,0.000331064,0.00003325134,0.0001689404,0.00006126366,0.0004480066,0.0008170239,0.00006118864],"category_scores_gemma":[0.00003811344,0.0002494305,0.0002455743,0.0001134744,0.0001165653,0.000001315592,0.00006106853,0.0007469041,0.0000431736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001049065,"about_ca_system_score_gemma":0.00004468823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001686491,"about_ca_topic_score_gemma":0.000007862945,"domain_scores_codex":[0.9983333,0.00008167616,0.0002999094,0.000560425,0.0002289782,0.0004956748],"domain_scores_gemma":[0.9992772,0.00004966539,0.0001028648,0.0004743919,0.00005450687,0.00004141955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001918034,0.0000262564,0.00004791623,0.00005524747,0.00009516795,0.00009648558,0.00004093488,0.00003746705,0.04449758,0.000002562323,0.9458945,0.009186676],"study_design_scores_gemma":[0.000257048,0.0002253869,0.0001234698,0.00002265674,0.00002475827,0.0006718435,0.00002629431,0.00003997652,0.05316468,0.00002777487,0.9450552,0.0003608455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.3802561,0.06028493,0.01299354,0.5270475,0.008557882,0.005936192,0.0008828187,0.001532256,0.002508734],"genre_scores_gemma":[0.2931894,0.008775587,0.004374108,0.6346682,0.01408909,0.003934563,0.01549747,0.0007738544,0.02469775],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1076206,"threshold_uncertainty_score":0.9999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181332958894403,"score_gpt":0.304841420831614,"score_spread":0.28302809124267,"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."}}