{"id":"W2965000423","doi":"10.1093/hmg/ddz157","title":"Advances and challenges for hemophilia gene therapy","year":2019,"lang":"en","type":"review","venue":"Human Molecular Genetics","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Bayer","keywords":"Biology; Genetic enhancement; Genetics; Gene; Computational biology; Bioinformatics","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":[0.0001406664,0.0004295682,0.001344092,0.0001793799,0.00008602445,0.00002700479,0.0001610543,0.0003410298,0.00002652737],"category_scores_gemma":[0.00001581306,0.0003088812,0.0004359149,0.00007750763,0.000106586,0.00001405129,0.00007236837,0.0002098266,0.00003233458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004619454,"about_ca_system_score_gemma":0.0001643303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.259151e-7,"about_ca_topic_score_gemma":6.017418e-7,"domain_scores_codex":[0.9983422,0.00007244063,0.0003344051,0.0005814106,0.0002936131,0.0003759365],"domain_scores_gemma":[0.9989319,0.00006722075,0.0001121112,0.0006242614,0.00009693975,0.0001675043],"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":[0.00001187952,0.00008586076,0.000003936948,0.02659028,0.0002924053,0.00005826737,0.00002746118,1.385992e-7,0.000123132,0.0001413117,0.0000339028,0.9726315],"study_design_scores_gemma":[0.001026803,0.0009409777,0.00001620616,0.00212457,0.0006958789,0.00007338268,0.000006208394,0.000002890488,0.000190483,0.0003015065,0.9943349,0.0002861298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002666718,0.9955298,0.00002220994,0.0001249389,0.00008435797,0.002879941,0.00002465044,0.0000292957,0.001038187],"genre_scores_gemma":[0.00002674629,0.996783,0.001153492,0.00004652539,0.0002625905,0.0002370809,0.0002502686,0.0001304921,0.001109869],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9943011,"threshold_uncertainty_score":0.9999363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.21686808823191,"score_gpt":0.4285316724273819,"score_spread":0.211663584195472,"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."}}