{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001566736,0.0004728601,0.0007284221,0.0004093639,0.001716063,0.001567288,0.0009080734,0.02470764,0.007827583],"category_scores_gemma":[0.007239278,0.0003513017,0.0008452511,0.0003281801,0.001490608,0.001295196,0.0005973915,0.01658734,0.00771047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002450738,"about_ca_system_score_gemma":0.001591445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003161555,"about_ca_topic_score_gemma":0.006102907,"domain_scores_codex":[0.9988005,0.0002849282,0.0001122131,0.0001243768,0.0004970648,0.0001808963],"domain_scores_gemma":[0.9974532,0.001473536,0.0001281307,0.0001119865,0.0004263666,0.0004067829],"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":[0.00009390232,0.00004351133,0.0003431068,0.00004240986,0.00001267224,0.00219796,0.0000277069,0.00006334279,0.0006815765,0.002773736,0.9759829,0.01773722],"study_design_scores_gemma":[0.00009594707,0.00009098383,0.0007278321,0.00008088921,0.00002233353,0.00307459,0.00008187948,0.0003548331,0.0008263811,0.006892498,0.9877296,0.00002227041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000721286,0.003717185,0.0002909638,0.9534284,0.03220687,0.00002003885,0.0001299446,0.00007814376,0.009407231],"genre_scores_gemma":[0.01343566,0.004316655,0.0006426564,0.8892484,0.04314207,0.00007411872,0.000141337,0.00005259474,0.04894653],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02470764,"threshold_uncertainty_score":0.02618587,"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."}}