{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0106047,0.0008271923,0.001347801,0.001246831,0.0009896655,0.004324789,0.001658758,0.005183808,0.01337754],"category_scores_gemma":[0.007931605,0.0003194992,0.001040305,0.0009478773,0.003192617,0.006593132,0.002281873,0.009091182,0.007411621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928938,"about_ca_system_score_gemma":0.003158083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003755,"about_ca_topic_score_gemma":0.001265568,"domain_scores_codex":[0.9974703,0.0009224021,0.0001791859,0.0003148048,0.000829814,0.0002835359],"domain_scores_gemma":[0.9938574,0.003011252,0.0003077096,0.0003631415,0.001542815,0.0009176984],"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":[0.0002957355,0.0002401589,0.0007523423,0.002805653,0.00008834253,0.0005863437,0.0005225401,0.001449362,0.004491199,0.1331625,0.1958467,0.6597592],"study_design_scores_gemma":[0.00003287328,0.0002200055,0.000316124,0.001178052,0.00002843087,0.0008286171,0.0003085985,0.0005764998,0.0008311885,0.05063699,0.9450065,0.00003623027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002019087,0.80061,0.01352526,0.1553351,0.008715983,0.0000523727,0.0001677652,0.0002361193,0.01933824],"genre_scores_gemma":[0.02607311,0.8854418,0.02029574,0.03908619,0.01237093,0.0002010477,0.0004529768,0.0001677621,0.01591045],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01337754,"threshold_uncertainty_score":0.05608374,"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."}}